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Boston, Chicago, New York, Dallas, Toronto, Montreal Lead Data Scientist ____ WHO WE ARE Oliver Wyman is a global leader in management consulting. With offices in 50+ cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, finance, operations, technology, risk management, and organizational transformation. Our 4000+ professionals help clients optimize their business, improve their IT, operations, and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Our professionals see what others don't, challenge conventional thinking, and consistently deliver innovative, customized solutions. As a result, we have a tangible impact on clients' top and bottom lines. Our clients are the CEOs and executive teams of the top Global 1000 companies. ____ PRACTICE OVERVIEW At Oliver Wyman Digital we partner with clients to deliver breakthrough outcomes for their toughest digital challenges. We blend the power of digital technology with deep industry expertise to tackle disruption and create impact. By building strong capabilities and culture, we accelerate and embed digital transformation. Our people co-create and grow customer-focused solutions that win. We modernize technology and harness value from data and analytics. We build resilience so our clients are ready for tomorrow's risks and can optimize operations for the future. Above all, we work collaboratively with our clients' leaders, employees, stakeholders, and customers to jointly define, design, and achieve lasting results. ____ THE ROLE AND RESPONSIBILITIES Our clients drive our projects - and no two OW Digital projects are the same. You'll be working with varied and diverse teams to deliver unique and unprecedented products across industries. As a Lead Data Scientist, you are primarily responsible for managing technical projects, including data engineering, model selection and design, and infrastructure deployment in both internal and client environments. We want and expect our people to develop deep expertise in a particular industry (financial services, health and life sciences, etc.), but you should be comfortable developing methods and selecting approaches based on a combination of first principles thinking, curiosity, and your pre-built foundations of software engineering and development. As a Data Scientist, you will work alongside Oliver Wyman partners in the Digital and other practice groups, engage directly with clients to understand their business challenges, and craft appropriate solutions to be delivered through collaboration with other OW Digital specialists and consultants. Your responsibilities will include: Exploring data, building models, and evaluating solution performance to resolve core business problems Explaining, refining, and collaborating with stakeholders through the journey of model building Keeping up with your domain's state of the art & developing familiarity with emerging modelling and data engineering methodologies Advocating application of best practices in modelling, code hygiene and data engineering Leading the development of proprietary statistical techniques, algorithms or analytical tools on projects and asset development Working with Partners and Principals to shape proposals that leverage our data science and engineering capabilities ____ YOUR EXPERIENCE & QUALIFICATIONS You are a well-rounded technologist who brings a wealth of real-world experience and: Technical background in computer science, data science, machine learning, artificial intelligence, statistics, or other quantitative and computational science Compelling track record of designing and deploying large-scale technical solutions, which deliver tangible, ongoing value including: Building and deploying robust, complex production systems that implement modern data science methods at scale, including supervised learning (regression and classification with linear and non-linear methods) and unsupervised learning (clustering, matrix factorization methods, outlier detection, etc.) Leveraging cloud-based infrastructure-as-code (CloudFormation, Bicep, Terraform, etc.) to minimize deployment toil and enabling solutions to be deployed across environments quickly and repeatably Demonstrating comfort and poise in environments where large projects are time-boxed, and therefore consequential design decisions may need to be made and acted upon rapidly Demonstrated fluency in modern programming languages for data science (i.e. at least Python, other expertise welcome), covering the full ML lifecycle (e.g. data storage, feature engineering, model persistence, model inference, and observability) using open-source libraries, including: Knowledge of one or more machine learning frameworks, including but not limited to: Scikit-Learn, TensorFlow, PyTorch, MxNet, ONNX, etc. Familiarity with the architecture, performance characteristics and limitations of modern storage and computational frameworks, with cloud-first considerations for Azure and AWS particularly welcome A history of compelling side projects or contributions to the Open-Source community is valued but not required Solid theoretical grounding in the mathematical core of the major ideas in data science: Deep understanding of a class of modelling or analytical techniques (e.g. Bayesian modeling, time-series forecasting, etc.) Fluency in the mathematical principles and generalizations of data science - e.g., Statistics, Linear Algebra and Vector Calculus Experience presenting at high-impact data science conferences and solid connections to the data science community (e.g., via meetups, continuing relationships with academics, etc.) is highly valued Interest/background in Financial Services, and capital markets in particular, Healthcare and Life Sciences, Consumer, Retail, Energy, or Transportation industries ____ YOUR ATTRIBUTES Our team comprises all sorts of people from all sorts of backgrounds. We don't care whether you're loud or quiet, funny, or serious, introverted or extroverted. We do, however, ask that you have: An undergraduate or advanced degree from a top academic program A genuine passion for technology and solving problems A pragmatic approach to solutioning and delivery Excellent communication skills, both verbal and written A clear commitment to creating impactful solutions that solve our clients' problems The ability to work fluidly and respectfully with our incredibly talented team Willingness to travel for targeted client and/or internal stakeholder meetings ____ OUR VALUES & CULTURE We're serious about making OW Digital a rewarding, enjoyable, and balanced place to work. Rewarding work We've worked hard to earn our reputation for high quality work. That reputation allows us to work with major brands at all levels on incredibly exciting projects. Combine that with Oliver Wyman's status as one of the Fortune 100 "Best Companies to Work For", and you get a rewarding combination of challenge, support, and recognition. Progressive employment Flat organizational structures, resolute I&D values, and a commitment to rewarding good work make for a progression path truly based on merit. A menu of healthcare options, 401k matching, and a culture of continuous improvement means your work gets more rewarding over time. Enjoyable days We want our team members to build a career here-and to be happy. That makes us serious about caring for, mentoring, developing, and sponsoring each other. This commitment also leads to opportunities for social impact and community work on company time. Balanced lives Our work is demanding, and we want you to have the best work-life balance you can. We'll work with you to accommodate your personal life with flexible hours and the ability to work from home. ____ HOW TO APPLY If you like what you've read, we'd love to hear from you! You can find this and other roles and submit your CV at https://careers.marshmclennan.com/global/en/oliver-wyman-search . And please include a short note introducing yourself and what you're looking for. The application process will include both technical testing and team fit interviews. Oliver Wyman is an equal opportunity employer. Our commitment to diversity is genuine, deep, and growing. We're not perfect, but we're working hard right now to make our teams balanced, representative and diverse. ____ _ ABOUT OLIVER WYMAN Oliver Wyman is a global leader in management consulting. With offices in more than 70 cities across 30 countries, Oliver Wyman combines deep industry knowledge with specialized expertise in strategy, operations, risk management, and organization transformation. The firm has more than 6,000 professionals around the world who work with clients to optimize their business, improve their operations and risk profile, and accelerate their organizational performance to seize the most attractive opportunities. Oliver Wyman is a business of Marsh McLennan [NYSE: MMC]. For more information, visit www.oliverwyman.com. Follow Oliver Wyman on Twitter @OliverWyman. Marsh McLennan and its Affiliates are EOE Minority/Female/Disability/Vet/Sexual Orientation/Gender Identity employers. The applicable base salary range for this role is $150,00 to $195,000. The base pay offered will be determined on factors such as experience, skills, training, location, certifications, and education, and any applicable minimum wage requirements. Decisions will be determined on a case-by-case basis. In addition to the base salary, this position may be eligible for performance-based incentives. We are excited to offer a competitive total rewards package which includes health and welfare benefits, tuition assistance, 401K savings and other retirement programs as well as employee assistance programs. Oliver Wyman, a business of Marsh McLennan (NYSE: MMC), is a management consulting firm combining deep industry knowledge with specialized expertise to help clients optimize their business, improve operations and accelerate performance. Marsh McLennan is a global leader in risk, strategy and people, advising clients in 130 countries across four businesses: Marsh, Guy Carpenter, Mercer and Oliver Wyman. With annual revenue of $24 billion and more than 90,000 colleagues, Marsh McLennan helps build the confidence to thrive through the power of perspective. For more information, visit oliverwyman.com, or follow on LinkedIn and X. Marsh McLennan is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com. Marsh McLennan is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh McLennan colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

Company Overview KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem. Virtually every electronic device in the world is produced using our technologies. No laptop, smartphone, wearable device, voice-controlled gadget, flexible screen, VR device or smart car would have made it into your hands without us. KLA invents systems and solutions for the manufacturing of wafers and reticles, integrated circuits, packaging, printed circuit boards and flat panel displays. The innovative ideas and devices that are advancing humanity all begin with inspiration, research and development. KLA focuses more than average on innovation and we invest 15% of sales back into R&D. Our expert teams of physicists, engineers, data scientists and problem-solvers work together with the world's leading technology providers to accelerate the delivery of tomorrow's electronic devices. Life here is exciting and our teams thrive on tackling really hard problems. There is never a dull moment with us. Job Description/Preferred Qualifications Are you ready to build, lead, and innovate at the forefront of AI? We're looking for a Senior Software Engineer with expertise in data science, AI training data pipelines, and real-time big data analytics to design, scale, and optimize high-impact systems! If you're a hands-on technologist who thrives in high-performance environments and is ready to inspire change, mentor others, and shape the future-this is your moment. Poised to grow into a technical leadership or engineering management role, you'll have the opportunity to lead impactful initiatives. Make your move now! Collaborate with brilliant minds across data science, ML engineering, and product strategy Build scalable systems that power real-time insights and intelligent automation Be part of a team that values creativity, ownership, and continuous growth Job Duties, but not limited to: Designing and implementing AI training data pipelines to support scalable machine learning workflows Building and optimizing real-time big data systems for ingestion, processing, visualization, and analytics Developing high-performance in-memory data processing solutions using modern frameworks Architecting and delivering microservices-based platforms across Linux and Windows environments Leading design reviews, mentoring engineers, and crafting technical strategy Ensuring code quality, performance, and maintainability through standard processes Qualifications, but not limited to: Advanced degree in Computer Science, Engineering, or a related field 8+ years of demonstrated ability in software engineering with a focus on data-intensive systems. Strong programming skills in C++ and C# Deep expertise in real-time data processing, streaming architectures, and AI/ML workflows Experience with Apache Arrow or similar in-memory columnar data formats Proficiency in both Linux and Windows development environments Familiarity with microservices architecture and containerization tools like Docker and Kubernetes Minimum Qualifications Doctorate (Academic) Degree and related work experience of 3 years; Master's Level Degree and related work experience of 6 years; Bachelor's Level Degree and related work experience of 8 years Base Pay Range: $123,000.00 - $209,100.00 Annually Primary Location: USA-MI-Ann Arbor-KLA KLA's total rewards package for employees may also include participation in performance incentive programs and eligibility for additional benefits including but not limited to: medical, dental, vision, life, and other voluntary benefits, 401(K) including company matching, employee stock purchase program (ESPP), student debt assistance, tuition reimbursement program, development and career growth opportunities and programs, financial planning benefits, wellness benefits including an employee assistance program (EAP), paid time off and paid company holidays, and family care and bonding leave. Interns are eligible for some of the benefits listed. Our pay ranges are determined by role, level, and location. The range displayed reflects the pay for this position in the primary location identified in this posting. Actual pay depends on several factors, including state minimum pay wage rates, location, job-related skills, experience, and relevant education level or training. We are committed to complying with all applicable federal and state minimum wage requirements where applicable. If applicable, your recruiter can share more about the specific pay range for your preferred location during the hiring process. KLA is proud to be an Equal Opportunity Employer. We will ensure that qualified individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us at talent.acquisition@kla.com or at +1-408-352-2808 to request accommodation. Be aware of potentially fraudulent job postings or suspicious recruiting activity by persons that are currently posing as KLA employees. KLA never asks for any financial compensation to be considered for an interview, to become an employee, or for equipment. Further, KLA does not work with any recruiters or third parties who charge such fees either directly or on behalf of KLA. Please ensure that you have searched KLA's Careers website for legitimate job postings. KLA follows a recruiting process that involves multiple interviews in person or on video conferencing with our hiring managers. If you are concerned that a communication, an interview, an offer of employment, or that an employee is not legitimate, please send an email to talent.acquisition@kla.com to confirm the person you are communicating with is an employee. We take your privacy very seriously and confidentially handle your information.

Description Summary Our Enterprise Data Governance team is growing, and we're looking for an outstanding Data Risk Lead to join our team. The Data Risk Lead will be responsible for leading the creation, tracking, and enforcement of data governance processes pertaining to data use and reporting. The development of data policy, standards, and controls and their continued enforcement will be critical to the success of Huntington's journey to being a data driven organization. The Data Risk Lead supports enterprise data governance capabilities and partners across the bank developing documentation of policies and processes related to data use, reporting and data governance, working with other teams in data governance and other divisions in Huntington on data sharing, governance, policy and privacy issues, convening, leading and documenting meetings with stakeholders across the enterprise involved in the process. Here at Huntington Bank, we want Data Risk Leads to work with our data analytics and reporting teams as we develop data solutions to better serve our customers, support our communities, and make our colleagues' lives better. Our goal is to be the best performing Regional Bank in America, and we need data and analytics to meet that goal. Primary Duties and Responsibilities: Work closely with business and technical stakeholders across the enterprise to analyze complex business processes and data governance procedures Lead process walkthroughs with business and technical stakeholders to understand and validate regulatory reporting production processes and related data supply chains Lead the creation of new processes and drafting various components within the Data Governance framework (policies, standards, procedures and controls) Work closely and manage relationships with internal partners in Audit, Compliance, Risk, and Legal to identify and define data policies, standards, and controls to enable broader use of data across Huntington. Contribute to the creation and maintenance of a process and repository for the documentation of governance best practices. Lead the design and enablement of technology and processes upon which the data rules are enforced. Manage the development of toolkits and guidelines that can be leveraged by federated teams as they implement policy requirements. Lead implementation of an ongoing communication plan to educate key stakeholders on data policy frameworks. Support federated teams on the work necessary to meet policy requirements. Tracking and monitoring the implementation of data controls across the organization Developing and designing metrics required for monitoring and tracking adherence to Data Governance Policy Basic Qualifications: Bachelor's Degree or equivalent relevant work experience 7+ years of experience developing and/or implementing data governance frameworks (e.g., data policies, standards, and controls), or experience working with IT and business segments on the analysis of complex business processes and data governance needs Preferred Qualifications: Strong partnership and collaboration skills, including the ability to work in a cross-functional manner with business and technology stakeholders History of developing and monitoring the delivery of efficient and effective processes to solve diverse and complex data problems Ability to rapidly comprehend the changes to key business processes and the impact on the overall Data Governance framework Experience in synthesizing programmatic and policy information from multiple sources, researching and drafting policy and standards documents Ability to constructively challenge requirements and current state to increase overall value to the organization High level of organization and attention to detail Strong critical thinking and creative problem-solving skills Effective communicator (written and verbal) Self-starter attitude with the ability to work independently and as part of cross-functional teams Prior experience with regulatory reporting, auditing, risk management, and/or data management at a large financial institution Experience in strategy, process improvement, management consulting is a plus Exempt Status: (Yes = not eligible for overtime pay) (No = eligible for overtime pay) Yes Workplace Type: Office Our Approach to Office Workplace Type Certain positions outside our branch network may be eligible for a flexible work arrangement. We're combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team. Compensation Range: 70,000.00 - 140,000.00 USD Annual The compensation range represents the low and high end of the base compensation range for this position. Actual compensation will vary and may be above or below the range based on various factors including but not limited to location, experience, and performance. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO). Huntington is an Equal Opportunity Employer. Tobacco-Free Hiring Practice: Visit Huntington's Career Web Site for more details. Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

Who We Are: Calico (Calico Life Sciences LLC) is an Alphabet-founded research and development company whose mission is to harness advanced technologies and model systems to increase our understanding of the biology that controls human aging. Calico will use that knowledge to devise interventions that enable people to lead longer and healthier lives. Calico's highly innovative technology labs, its commitment to curiosity-driven discovery science and, with academic and industry partners, its vibrant drug-development pipeline, together create an inspiring and exciting place to catalyze and enable medical breakthroughs. Position Description: Calico is seeking a Data Scientist/Senior Data Scientist to join the statistical genetics team within the Computational Sciences group. In this position, you will develop and apply cutting-edge computational methods to analyze unique biobank-scale datasets (e.g. UK Biobank) to identify potential drug targets for age-related disease. Two major areas of focus will be analysis of longitudinal datasets to identify factors modulating the trajectory of age-related decline and the analysis of high-dimensional phenotypes. The successful candidate will join a vibrant research community and work closely with internal and external scientific collaborators and will be expected to contribute to the design of target discovery or validation efforts. Position Responsibilities: Develop and apply computational methods suitable for biobank-scale complex or high-dimensional phenotypic datasets from both public and proprietary data sources Conceive, design, and execute studies to interrogate the genetic basis of age-related complex traits and of aging trajectories in large human cohorts Integrate multiple data sources (e.g. clinical data, genetics, 'omics) to develop therapeutic hypotheses for age-related disease Contribute to software and/or workflows for the analysis of cohort data across multiple research projects and development programs Collaborate with and communicate findings effectively to researchers from a broad range of scientific backgrounds, both internally and externally Position Requirements: Ph.D. in genetics, statistics, statistical genetics, computational biology, or equivalent Track record of developing and applying new computational and statistical methods tailored to analyzing novel datasets Experience with the statistical genetic toolkit for complex traits (e.g. GWAS, gene burden tests, statistical finemapping, LD score regression, eQTL/pQTL mapping, colocalization, polygenic risk scores, Mendelian randomization), including methods for ancestrally diverse populations Experience with analyzing large, high-dimensional clinical and/or molecular datasets (for example, imaging, genomics and other 'omics, longitudinal data) Familiarity with large human cohort studies (e.g. UK Biobank, FinnGen, All of Us) Strong coding skills in Python and/or R, including experience developing software and/or workflows that can be readily used by others Strong interpersonal, written, and verbal communication skills, including collaborating with stakeholders from different scientific disciplines Must be able to work onsite at least 4 days a week The estimated base salary range for this role is $120,000 - $185,000. Actual pay will be based on a number of factors including experience and qualifications. This position is also eligible for two annual cash bonuses.

Your impact on our mission We are looking for a Staff Data Engineer (SDE) to join our Data Engineering team! In this role, you will design, build, and optimize scalable data systems that empower decision-making and innovation at Zocdoc. You'll collaborate with cross-functional teams to manage data pipelines, strengthen governance, and improve the tools and processes that help data producers and consumers work together effectively. This role leads our specialized Data Infrastructure group, which is responsible for building, maintaining, and optimizing the platforms that power data workflows across the company. You'll focus on the underlying infrastructure that supports analytics, experimentation, and machine learning-ensuring it runs efficiently, securely, and cost-effectively to improve the healthcare experience for patients and providers. You'll enjoy this role if you are… Passionate about the inner workings of data platforms and infrastructure Excited to tackle both technical and strategic challenges to build reliable, scalable systems Motivated to create high-leverage tools that power analytics and data science Energized by the opportunity to build tools and processes that directly improve patient and provider experiences through better data Autonomous, proactive, and eager to solve complex problems with practical, scalable solutions Your day to day is… Designing and maintaining scalable data pipelines for ingestion, transformation, and delivery across multiple data sources Collaborating with Analytics Engineers and Product teams to curate datasets and establish data contracts that improve transparency and reliability Developing and managing modern data architectures, such as lakehouses and medallion layers, using tools like Databricks, Delta Lake, or Iceberg Optimizing Snowflake usage and performance, ensuring data quality and cost efficiency Supporting and scaling orchestration platforms (like Dagster), metadata systems (like Unity Catalog or Collibra), and monitoring tools (like Datadog) Collaborating with data engineering, analytics engineering, and security teams to deliver stable and efficient infrastructure for diverse workflows Building tools, alerting systems, and documentation that ensure reliable operation and developer self-service across our data stack You'll be successful in this role if you have… 5+ years of experience in data engineering or platform/infrastructure roles, with a focus on scaling tools and systems Expertise in Python or Scala, and strong proficiency in SQL for data modeling and optimization Deep experience with data warehouse technologies like Snowflake, including clustering, performance tuning, query profiling, and access management Experience with data lake and lakehouse architectures such as Databricks, Delta Lake, Iceberg, or Apache Hudi, and query engines like Athena or Presto Proven ability to design and implement scalable ETL pipelines using technologies like dbt for transformation and Databricks for large-scale processing Familiarity with managing infrastructure-as-code, job orchestration (Dagster, Airflow), and CI/CD workflows A proactive mindset and strong problem-solving skills, especially when troubleshooting complex infrastructure issues Excellent collaboration and communication skills to support cross-functional teams and data consumers Bonus if you have… Experience implementing row-level security and data masking for PHI/PII use cases Exposure to governance tools (e.g., Collibra, Amplitude, Looker admin, Unity Catalog) Familiarity with AWS services, especially for storage and compute cost optimization Benefits: Flexible, hybrid work environment at our convenient Soho location Unlimited Vacation 100% paid employee health benefit options (including medical, dental, and vision) Commuter Benefits 401(k) with employer funded match Corporate wellness programs with Headspace and Peloton Sabbatical leave (for employees with 5+ years of service) Competitive paid parental leave and fertility/family planning reimbursement Cell phone reimbursement Catered lunch everyday along with beverages and snacks Employee Resource Groups and ZocClubs to promote shared community and belonging Great Place to Work Certified

Job Description: Providing for loved ones, planning rewarding retirements, saving enough for whatever lies ahead - our policyholders count on us to be there when it matters most. It's a big ask, but it's one that we have the power to deliver when we work together. We collaborate and innovate - pushing one another to transform not just Pacific Life, but the entire industry for the better. Why? Because it's the right thing to do. Pacific Life is more than a job, it's a career with purpose. It's a career where you have the support, balance, and resources to make a positive impact on the future - including your own. Unlock the Power of Data at Pacific Life. We're seeking talented Lead Data Engineer to join our Pacific Life Investments Data Team onsite in Newport Beach, CA. We are looking for self-starters to help shape the future of data engineering and drive data-driven success. As a Lead Data Engineer you'll move Pacific Life, and your career, forward by accelerating our data initiatives by bringing modern technical solutioning forward. You will fill a new role that sits on the Investments data team in the technology organization. Your colleagues will include scrum masters and data analyst and fellow Data, AI, Governance, and QA professionals. Join our highly collaborative, innovative team. How you'll help move us forward: Partner with data architects, analysts, engineers, and stakeholders to understand data requirements and deliver solutions. Help build scalable products with robust security, quality and governance protocols. Create low-level design artifacts, including mapping specifications. Build scalable and reliable data pipelines to support data ingestions (batch and /or streaming) and transformation from multiple data sources using SQL, AWS, Snowflake, and data integration technologies. Create unit/integration tests and implement automated build and deployment. Participate in code reviews to ensure standards and best practices. Deploy, monitor, and maintain production systems. Use the Agile Framework to organize, manage and execute work. Demonstrate adaptability, initiative and attention to detail through deliverables and ways of working. The experience you bring: Bachelor's degree in Computer Science, Data Science or Statistics 7+ years of experience in analysis, design, development, and delivery of data 7+ years of experience and proficiency in SQL, ETL, ELT, leading cloud data warehouse technologies, data transformation, and data management tools Understanding of data engineering best practices and data integration patterns 2+ years of experience with DevOps and CI/CD 1+ years of experience (not just POC) in using Git and Python Agile Scrum work experience Effective communication & facilitation; both verbal and written Team-Oriented: Collaborating effectively with team and stakeholders Analytical Skills: Strong problem-solving skills with ability to breakdown complex data solutions What makes you stand out: Investments or FINTECH domain knowledge preferred Strong Data analysis skills and /or data mining experience Experience with one or more Integration tools (Matillion, Informatica, SQL SSIS, DBT) Experience with Snowflake and DBT Works independently with minimal guidance. #LI-DW1 You can be who you are. People come first here. We're committed to a an inclusive workforce. Learn more about how we create a welcoming work environment at www.pacificlife.com. What's life like at Pacific Life? Visit Instagram.com/lifeatpacificlife. Benefits start Day 1. Your wellbeing is important. We're committed to providing flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and a Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation. Base Pay Range: The base pay range noted represents the company's good faith minimum and maximum range for this role at the time of posting. The actual compensation offered to a candidate will be dependent upon several factors, including but not limited to experience, qualifications and geographic location. Also, most employees are eligible for additional incentive pay. $134,280.00 - $164,120.00 Your Benefits Start Day 1 Your wellbeing is important to Pacific Life, and we're committed to providing you with flexible benefits that you can tailor to meet your needs. Whether you are focusing on your physical, financial, emotional, or social wellbeing, we've got you covered. Prioritization of your health and well-being including Medical, Dental, Vision, and Wellbeing Reimbursement Account that can be used on yourself or your eligible dependents Generous paid time off options including: Paid Time Off, Holiday Schedules, and Financial Planning Time Off Paid Parental Leave as well as an Adoption Assistance Program Competitive 401k savings plan with company match and an additional contribution regardless of participation EEO Statement: Pacific Life Insurance Company is an Equal Opportunity /Affirmative Action Employer, M/F/D/V. If you are a qualified individual with a disability or a disabled veteran, you have the right to request an accommodation if you are unable or limited in your ability to use or access our career center as a result of your disability. To request an accommodation, contact a Human Resources Representative at Pacific Life Insurance Company.

Who Are We? Our company is based on the science of our founder, Stanley Qi, one of the original CRISPR co-inventors who then furthered the technology so that DNA does not need to be cut to accomplish gene regulation. Instead, we regulate the epigenome to suppress and activate multiple genes simultaneously. We are further evolving the platform and leveraging its strengths to address unmet medical needs. We are looking for exceptional team members who want an active role in building a rapidly growing biotech. Epicrispr Biotechnologies is seeking a highly motivated Associate Data Scientist/Data Scientist I This position offers an exciting opportunity to contribute to the development of innovative epigenome engineering tools for therapeutic applications. As a key member of the BDS team, the Data Scientist will collaborate closely with experimental biologists to support experimental design and will take the lead in analyzing and interpreting high-throughput biological data from a range of cutting-edge screens and assays. This role requires a blend of ambition, technical expertise, and independence, with a strong ability to manage multiple projects simultaneously. The ideal candidate will be an excellent communicator with a proven track record of developing bioinformatics pipelines and solving complex problems in novel research areas. Key Responsibilities: Lead collaborative efforts with experimental biologists and bioengineers on experimental design and data analysis approaches to drive strategic therapeutic and engineering goals. Analyze complex high-throughput datasets. Independently design, implement, and optimize bespoke analysis pipelines tailored for in-house screening efforts. Communicate analysis results effectively across teams, bridging the gap between experimental scientists, data scientists, and non-technical stakeholders. Contribute to and support the continuous improvement of bioinformatics tools, workflows, and methods. Required Qualifications: Masters required or Ph.D. preferred in Bioinformatics, Computational Biology, Biophysics, Genetics/Genomics, Bioengineering, Computer Science, Statistics, or a related quantitative field, with 0-2 years of experience in a relevant industry or academic environment; or MS in one of the above fields with 2-4 years of industry/academic experience, or BS in a relevant field with 5+ years of industry/academic experience. Proficiency in programming languages such as Python or R (preferably both), with a focus on exploratory data analysis and pipeline development. Demonstrated ability to effectively communicate complex scientific concepts and results to both technical and non-technical stakeholders. Strong experience with experimental design, working cross-functionally with wet-lab scientists, and contributing to multidisciplinary research efforts. Preferred Qualifications: Expertise in gene regulation, epigenetics, CRISPR biology, and/or gene therapy. Extensive experience analyzing high-throughput sequencing data, including CRISPR screens, RNA-seq, ATAC-seq, ChIP-seq, WGBS, scRNA-seq, and similar datasets. Experience working with cloud computing platforms such as AWS for large-scale data analysis. Familiarity with GitHub for version control and collaborative code development. Theoretical and practical knowledge of machine learning and deep learning methodologies for biological data analysis. Familiarity with lentiviral vector design, packaging, transduction, and the creation of stable cell lines. Compensation: The salary range for this position is $90,000 to $120,000 USD annually. This salary range is an estimate, and the actual salary may vary based on various factors, including, without limitation, individual education, experience, tenure, skills, and abilities, as well as internal equity and alignment with market data, including potential adjustments for geographic location. Epicrispr Biotechnologies is an early-stage biotechnology company developing a novel technology platform that can provide safe and persistent control of targeted gene regulation. Our proprietary platform represents an entirely new class of therapeutics that can be leveraged to treat severe disease across numerous therapeutic areas, including complex diseases impacted by multiple genes. Epicrispr Biotechnologies provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations. You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management. At the heart of it all, you're not just an engineer; you see the art in orchestrating data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data- Join us. Global Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work. We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level. The Types of "Energy" You Bring Excellent written and verbal communication skills. You are self-motivated and like to take initiative. You are a team player with a positive attitude. You have strong time management skills. "Gauges" of Responsibility Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI, GitHub Actions to ensure rapid, reliable deployments. Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources. Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation. Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments. Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale. Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance. Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle. "Fuel" for You Coins! We offer competitive salaries and opportunities for growth. We mean it! We have an amazing Talent Development Team who create trainings for growth and job development. Health + Wellness- Medical, Dental, Visions and Life Insurance. Along with additional wellness support. The Road Ahead- We offer 401k and a match component! Professional Development- We provide tuition reimbursement; this benefit is offered after 6 months of service. Give Back! We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time-off to you to help an organization of your choice. The GPS of our Interview Process First thing first, if you're interested in the role, please apply. A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you. We conduct in-person and virtual interviews. Qualifications Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree. Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes). Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments. Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus. Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst. Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production. Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge. Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset. We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences. Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-891-4000. Disclaimer: At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know: In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company - we made history in 2021 by becoming a public benefit corporation (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a Work Anywhere company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in transforming the life sciences industry, committed to making a positive impact on its customers, employees, and communities. The Role As a Senior Data Operations Analyst on the Veeva Compass Product Team, you will play a key role in supporting the core data structures and processes that drive our Master Data Management (MDM) system-essential to the success of the Compass suite of data products. You'll contribute to data governance initiatives that ensure consistency, integrity, and high-quality standards across the platform. You will be responsible for driving data quality, consistency, standardization, and governance within the Terminology Reference Library (TRL), Veeva's Master Data Management (MDM) system for health data terminologies used by Compass. TRL includes foundational reference data such as drug information, ICD-10 diagnosis codes, procedure and lab codes, and payer and plan data. While you won't directly administer the MDM system, you'll act as a power user and subject matter expert-collaborating with system owners, engineers, and product managers to define requirements, support the onboarding of new data types, and identify areas for improvement. Your contributions will help ensure our reference data stays accurate, consistent, and well-integrated across our products. This role is well-suited for someone with a strong understanding of MDM principles and lifecycle, who has worked with MDM systems in a user or subject matter expert capacity, and is passionate about data quality and governance. What You'll Do Support the implementation of MDM-related strategies and practices that help ensure high-quality, consistent, and standardized reference data across Compass products Contribute to data governance efforts by helping define and maintain standards, documentation, and stewardship models for master health data domains Develop a deep understanding of key health data domains-such as drugs, diagnoses, procedures, labs, and payers-to define data quality metrics and monitor performance Analyze data sets to identify quality issues and partner with engineering and product teams to design and implement solutions Create and maintain clear documentation of data dictionaries, taxonomies, definitions, attributes, and mappings across internal and external data sources Collaborate with Compass Product Managers and Engineers to support scalable, automated data processes that ensure trusted data delivery Assist in bringing new data sources into the Terminology Reference Library (TRL), Veeva's MDM system, and improve existing data categories, while also handling routine operations to ensure information remains accurate and up to date Requirements Demonstrated experience supporting or contributing to data governance efforts, including defining data standards, taxonomies, naming conventions, and documentation to improve data quality and consistency Familiarity with master data management (MDM) concepts and experience working with MDM systems (e.g., Veeva Network, Informatica) in a user or stakeholder role Hands-on experience onboarding new data sources, including data profiling, metadata assessment, validation, and quality control Strong analytical and problem-solving skills, with experience designing or supporting processes for managing reference or master data across systems Experience working with healthcare terminology data such as ICD-10, CPT/HCPCS, and NDC Proficient in SQL for querying, analyzing, and validating large data sets Comfortable collaborating across teams to define data requirements and support ongoing improvements to data quality and reliability Nice to Have Advanced Excel (XLOOKUPs, Pivot Tables, Etc.) Experience working in Veeva Network Experience working in AWS Experience in the Life Sciences industry Perks & Benefits Medical, dental, vision, and basic life insurance Flexible PTO and company paid holidays Retirement programs 1% charitable giving program Compensation Base pay: $80,000 - $145,000 The salary range listed here has been provided to comply with local regulations and represents a potential base salary range for this role. Please note that actual salaries may vary within the range above or below, depending on experience and location. We look at compensation for each individual and base our offer on your unique qualifications, experience, and expected contributions. This position may also be eligible for other types of compensation in addition to base salary, such as variable bonus and/or stock bonus. #LI-Remote Veeva's headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. Veeva is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity or expression, religion, national origin or ancestry, age, disability, marital status, pregnancy, protected veteran status, protected genetic information, political affiliation, or any other characteristics protected by local laws, regulations, or ordinances. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at talent_accommodations@veeva.com. Work Where It's Best for You Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for each person. This applies across all locations and departments. Work Anywhere does not mean work at any time. We have predictable core hours where employees are generally available for meetings and collaboration. Employees are focused and available during core hours. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Our offices function as hubs to draw people in, create social bonds, and where random connections and mixing of ideas happen. We're investing more in offices, culture, and offsite meetings, not less. Product teams are organized in regional product hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. When an employee moves within a country it does not cause a change in salary. Where you live impacts you and your family. Not knowing if your compensation will change if you move can cause stress and uncertainty for everyone. We wanted to eliminate that. Work at Veeva. Work where it's best for you. A different kind of company. A Public Benefit Corporation. Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. × What sets us apart Public Benefit Corporation Work Anywhere Veeva Giving Corporate Citizenship Employees are Shareholders Non-Competes Public Benefit Corporation In February 2021, Veeva became the first public company to convert to a Public Benefit Corporation (PBC). Unlike a traditional corporation, whose only legal duty is to maximize shareholder value, PBCs consider their public benefit purpose and the interests of those materially affected by the corporation's conduct-including customers, employees, and the community-in addition to shareholders' interests. Veeva's public benefit purpose is to help make the industries we serve more productive and create high-quality employment opportunities. Learn More Work Anywhere Work Anywhere means you can work in an office or at home on any given day. It's about getting the work done in the way and place that works best for you. We invest in our offices to make them places where our employees like to go. If you work in the office three or more days a week, you will have a dedicated office workspace. Product teams are organized in regional product excellence hubs for optimal collaboration and live within a time zone of their hub. Our current product hubs are located in Pleasanton, Columbus, Boston, Kansas City, New York City, Raleigh, and Toronto. We create opportunities for teams to get together in person regularly. Customer-facing roles, such as Sales and Professional Services, live near and/or travel to their customers. Read More → Veeva Giving At Veeva, we believe in giving back. Veeva's support for charitable causes is entirely employee driven because we think giving is personal and should be directed by the individual. With our 1% Veeva Giving program, each employee receives an amount equivalent to 1% of their base salary annually to support the non-profit(s) of their choice. We don't dictate favored corporate causes or ask employees to donate to specific non-profits. We never support a charitable cause in exchange for commercial advantage or preferential treatment. Corporate Citizenship Veeva's core values - do the right thing, customer success, employee success, and speed - guide our decision making and define our culture. Doing the right thing means that we are concerned about more than just financial success and return to shareholders. We recognize a responsibility to customers, employees, environment, and society.As individuals, we pride ourselves on being good people who are honest, fair, and direct. We treat others with respect. As a company, we strive to be a good corporate citizen, a positive force in the business community, active in our communities, and an example to others. Read More → Employees are Shareholders Our equity program is designed to enable the vast majority of our employees to participate. Our unique approach to awarding equity grants allows our employees to be shareholders so they can benefit financially in the company's growth. Non-Competes Veeva has taken a strong stance against the use of non-compete agreements that can limit employee opportunities. We do not require our employees to sign non-compete agreements, and we have taken legal action to fight the unfair use of these agreements by other companies because we believe such agreements limit an employee's fundamental right to work where they choose. We believe in our people and want them to be successful here at Veeva or wherever their careers take them. Read More → News and recognition Veeva in Top 100 Most Reliable Companies Fastest-Growing Company for 5 Years, Future 50 for 2 Years New York's Noncompete Bill Is A 'Big Domino To Fall'-And The Broadest Ban Yet-In A Growing Movement Against Them Veeva's Peter Gassner Combine's Today's Execution with Tomorrow's Vision Grow, contribute and be recognized "Veeva's engineering teams take a pragmatic approach to software development. We offer an ideal environment for engineers who value focus, speed and integrity in their work." Jacob Marcus VP, Engineering "I appreciate that Veeva values autonomy over alignment. As a result, we get to make decisions as a small team and ship products faster." Shilpa Chandermohan Software Engineer "As a software engineer at Veeva, I'm proud to be doing meaningful work building clinical trial software that will benefit so many people." 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Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Functions will include planning/managing project deliverables, problem solving, day-to-day oversight of team project deliverables and giving direction on data analytics products, quality of care measures, and visual analytics. Development and implementation of master data management or advanced data analytics solutions will be required. This includes providing direction for the solution, ensuring data quality, and oversight of the analytics solution. This is not a direct-report supervisor position requiring human resource performance oversight. However, this role will lead a team of five to ten analysts/developers with responsibility of quality project delivery on time and within budget. You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. Primary Responsibilities: Manage the Enterprise Data Warehouse data analytics and master data management projects Lead as a functional/business specialist or subject matter between the customer business team and technical project teams with emphasis on master data management and data analytics Serve as a key resource on complex and/or critical issues Support in meeting the Management by Business Objectives (MBOs) to achieve employee experience, customer loyalty, financial/revenue growth, and innovation goals Review work performed by others; provide recommendations for improvement Forecast and plan resource requirements Authorize deviations from standards Lead functional or segment teams with motivation and inspiration Provide explanations and information to others on complex issues Manage customer relationships and anticipate customer needs to proactively develop solutions Support growth to the project/program Work with end users/customers to understand and develop requirement Organize and lead project related meetings with customers, development staff, and sponsor level staff Lead to deliver the project/contractual requirements and actively manage project triple constraints, and risks/issues and action items to manage the needs of the stakeholders Communicate effectively, verbally and in writing, with programmers, analysts, immediate supervisor, management, system users, operations, other State agencies and the private sector Meet with users for clarification and elaboration as necessary to clearly define a problem and conceptualize a development plan Recognize, gather, correlate, and analyze facts, draw conclusions, define problems, and devise solutions and alternatives; and make appropriate recommendations You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in. Required Qualifications: 5+ years of project manager experience for data analytics/reporting projects, especially with project scheduling, scope, resources, risk/issues management, communication, and stakeholders' management 3+ years of business experience working/leading projects with healthcare analytics and reporting in a multi-vendor environment Experience leading complex and demanding DDI projects with Business Intelligence/Data Analytics for decision support systems Solid technology background with knowledge/experience in large DBMS, data, ETL, BI tools Proven client-facing skills, excellent written, verbal communication skills, and presentation skills to executive teams Proven solid project/program management experience applying PMI knowledge area, and performance domains effectively managing project triple constraints, resources, risks, and issues Preferred Qualifications: PMI Project Management Professional certified or Certified Business Intelligence Professional (CBIP) certification 5+ years of data warehousing experience 5+ years of experience with commercial or public healthcare insurance Experience with infrastructure management Experience or knowledge of Tableau, PowerBI, Teradata/IntelliFlex, Informatica MDM, Verato, SAP Business Objects, JIRA, MS Project, or SAS Experience with Agile methodology, Scrum framework, and Agile/Scrum projects Experience with Cloud based technology such as MS Azure, Snowflake database, Python, Azure Data Factory, Data Bricks, et al. Experience with data streaming, data analytics platform Experience managing a contract for a program valued at $5 million in revenue or greater Experience with managing complex application development projects with 10 or more resources, especially with Cloud based implementations Experience managing customer relationships and stakeholder management State Medicaid Data Warehouse or Medicaid Management Information Systems experience Solid understanding of Medicaid Program including Program management, Program Integrity, and Federal Reporting (such as T-MSIS, MARS, and HEDIS/Quality of Care measures or equivalent projects) Local to Springfield, IL area or in driving distance to come to State office based on customer need (around 20% travel to Springfield, IL) All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $110,200 to $188,800 annually based on full-time employment. We comply with all minimum wage laws as applicable. Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants. At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission. UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

Description: Join Lockheed Martin's digital transformation journey as we accelerate the OneLM Mission-Driven Transformation through our 1LMX program. This strategic priority is reshaping our operations and business processes to better serve our customers in terms of cost, quality, and capabilities, while delivering the speed, agility, and insights necessary to stay ahead of rapidly-evolving threats. The Lockheed Martin Data and AI Enablement Organization is seeking a highly skilled and experienced Staff Solution Architect/Data Architect to support the onboarding of Enterprise customers onto the Enterprise Data Ecosystem (EDE). What You Will Be Doing: In this role as a strategic leader, you will be responsible for designing, planning, and governing large-scale data solutions that leverage EDE capabilities to meet our organization's needs and align with our strategic goals. Your key responsibilities include the following: Collaborating with cross-functional teams to identify data-related business requirements and define the data architecture Developing and maintaining a deep understanding of business requirements, providing technical leadership and expertise to business teams to develop ideal solutions Conducting product demonstrations and providing technical guidance to stakeholders, ensuring effective adoption of EDE capabilities Developing and maintaining documentation for data solutions, including architecture diagrams and technical specifications, data dictionaries, and user guides Providing technical leadership and mentorship to junior data and analytics engineers and architects, promoting best practices and knowledge sharing Staying up-to-date with industry trends and best practices in data architecture, engineering, and analytics, applying this knowledge to drive innovation and improvement Who You Are: You will be required the manage multiple customer projects simultaneously and prioritize tasks and competing demands in a fast-paced environment You will be working in a relatively new team, with opportunities to drive process improvements and shape the direction of our data architecture and analytics solutions You will need to be comfortable with ambiguity, navigating complex technical and business requirements to develop effective solutions What's In It For You: From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security, learn more about Lockheed Martin's comprehensive benefits package here. Lockheed Martin provides the resources and the flexibility to enable inspiration and focus! If you have the passion and courage to dream big, work hard, and have fun doing what you love, then we want to build a better tomorrow with you! Further Information About This Opportunity: US citizenship is required for this role due to system access Basic Qualifications: Significant experience in data architecture, data analytics, and/or solution design, with a proven track record of delivering complex data projects Excellent communication, presentation and interpersonal skills, with the ability to collaborate with cross-functional teams and communicate technical concepts to non-technical stakeholders Strong technical leadership and mentorship skills, with experience guiding junior engineers and architects US citizenship is required due to system access Desired Skills: Experience with IBM Cloud Pak for Data (CP4D) Experience with data warehousing technologies Knowledge of data governance frameworks and data security best practices Experience with agile methodologies Experience with or knowledge of Supply Chain Clearance Level: None Other Important Information You Should Know Expression of Interest: By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to Work Remotely: Full-time Remote Telework: The employee selected for this position will work remotely full time at a location other than a Lockheed Martin designated office/job site. Employees may travel to a Lockheed Martin office for periodic meetings. Work Schedules: Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Schedule for this Position: 4x10 hour day, 3 days off per week Pay Rate: The annual base salary range for this position in most major metropolitan areas in California and New York is $131,000 - $227,125. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. This position is incentive plan eligible. Pay Rate: The annual base salary range for this position in California and New York (excluding most major metropolitan areas), Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, Vermont, Washington or Washington DC is $113,900 - $200,905. For states not referenced above, the salary range for this position will reflect the candidate's final work location. Please note that the salary information is a general guideline only. Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market and business considerations when extending an offer. Benefits offered: Medical, Dental, Vision, Life Insurance, Short-Term Disability, Long-Term Disability, 401(k) match, Flexible Spending Accounts, EAP, Education Assistance, Parental Leave, Paid time off, and Holidays. (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year. This position is incentive plan eligible. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5 - 30 days of the requisition posting date in order to receive optimal consideration. At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs, and apply for roles that align with your qualifications. Experience Level: Experienced Professional Business Unit: ENTERPRISE BUSINESS SERVICES Relocation Available: No Career Area: Systems Architect Type: Full-Time Shift: First

Technical Data Designer (Data Specialist) Company: Boeing Aerospace Operations The Boeing Global Services (BGS) and the Product Support Engineering team is seeking an Experienced-Level Technical Data Designer to support our F-18 program in Fort Walton Beach, FL. The successful candidate for this position will develop, analyze, collect, and store various system support technical data elements and specifications to evaluate and make recommendations. Provides recommendations on product supportability and establishes operation maintenance tasks, resources, and support systems to achieve supportability requirements for multiple equipment subsystems. This role identifies, researches, develops and revises technical publications, documentation, and related data. Analyzes customer requirements to understand scope and required elements. Reviewing technical support publications for technical accuracy, grammatical errors, format and style per guidelines. Position Responsibilities: Analyzes complex engineering designs and design changes to determine maintenance/repair requirements, procedures and instructions. Collect, research and evaluate source data to develop RADAR system component and system technical publications according to specifications. Develop multiple publication elements for all levels of maintenance for fielded equipment minor systems or sub systems. Collaborate with program management, engineering and other RADAR authors to accomplish tasks. Participate in or lead in-person and virtual working group meetings. Some travel may be required. May be asked to support other programs or perform other duties as needed. This position requires the ability to obtain a US Security Clearance for which the US Government requires US Citizenship. An interim and/or final U.S. Secret Clearance Post-Start is required. Basic Qualifications (Required Skills/Experience): 2+ years’ w/Bachelor's Degree or 4+ years w/Associate’s degree and experience with aircraft maintenance, or 10+ years of aircraft maintenance experience w/HS Diploma. Must have Avionics or Wiring background. Must have Ability to read and interpret Engineering drawings and documentation. Must be able to work on-site in Fort Walton Beach, FL 5 days per week. Must be able to obtain a U.S. Secret Security Clearance and special program access. Preferred Qualifications (Desired Skills/Experience): Associates degree or higher and 5 years' related work experience. 3+ years’ experience with aircraft avionics maintenance. F-18 Platform experience. Typical Education & Experience: Experienced-Level: Education/experience typically acquired through advanced technical education (e.g. Associates) and typically 5 or more years' related work experience or an equivalent combination of technical education and experience (e.g. Masters, Bachelors or Associates +3 years' related work experience, 5 years' related work experience, etc. Relocation: Relocation assistance is not a negotiable benefit for this position. Candidates must live in the immediate area or relocate at their own expense. Drug Free Workplace: Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. General: All information provided will be checked and may be verified. Please apply ASAP for this role as recruitment may commence before the end date. Pay Transparency & Total Rewards: At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Salaries are based upon candidate experience and qualifications, as well as market and business considerations. Experienced-Level Summary Pay Range: $54,000 - $95,000 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position requires the ability to obtain a U.S. Security Clearance for which the U.S. Government requires U.S. Citizenship. Visa Sponsorship: Employer will not sponsor applicants for employment visa status. Contingent Upon Award Program This position is not contingent upon program award Shift: Shift 1 (United States of America) Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud - Recruitment Fraud Warning Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. EEO is the law Boeing EEO Policy Request an Accommodation Applicant Privacy Boeing Participates in E – Verify E-Verify (English) E-Verify (Spanish) Right to Work Statement Right to Work (English) Right to Work (Spanish)

Integra is a litigation and economic consulting firm that exists to restore integrity to the financial system through forensic data analytics. We work with government agencies and law firms in their efforts to combat a wide array of financial fraud, in areas ranging from securities to healthcare to crypto assets. We are looking for strong candidates with quantitative and financial backgrounds and a natural curiosity to learn to join our team and help tackle complex projects by efficiently analyzing data. Job Description Plan, develop, and take ownership in data-intensive investigations related to financial fraud Write scripts to retrieve and organize data; parse free-form text fields, images, and spreadsheets to derive insights Construct and analyze large datasets to find fraudulent patterns; develop quantitative and empirical methods to analyze potentially fraudulent conduct Summarize and present findings to technical and non-technical audiences, through long-form reports, charts and slides Anticipated to grow toward managing projects and communicating with clients Qualifications 3-5 years of work experience at an economic consulting or management consulting firm Background in statistics, mathematics, engineering, computer science, data science, accounting, finance, economics, or other quantitative field Demonstrated experience with R, Python, and/or SQL Attention to detail Intellectual curiosity and interest in fraud analysis Highest ethical standards Strong teamwork abilities Preferred Excellent skills in R, Python, and/or SQL Prior experience managing projects for clients or strong desire to grow into a project management role Knowledge of financial concepts and principles Knowledge of crypto, decentralized finance, or smart contracts Demonstrated aptitude for research Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Job Description: The Los Angeles Unified School District seeks qualified proposers to provide Data Science Services on behalf of the Information Technology Services. Responsibilities: Set up R Studio Workbench, Connect, and Package Manager on a Linux server. Manage libraries and versions. Write required security plan. Work with security to connect the server to Snowflake and other data sources. Provision server access to data scientists, including R Studio Server, sftp, and command line. Provide training and support to data scientists, including training on visualization packages like ggplot2, Quatro, and Shiny. Guide data scientists on how to use version control with GIT/Azure Devops. Resource must have at least three (3) years of experience in providing services as listed

Job Title: Business Analyst (Data Governance and Data Quality Management) Location: Auburn Hills, MI.  Must be local or relocation (out of pocket from day 1).  No exceptions.  HEAVY preference for locals in this group.  NO West Coast candidates (PST) will be considered Duration:  Long-term    Job Type: Contract – W2 Work Type: Hybrid/Onsite Hybrid / on-site 2 days a week in Auburn Hills, MI NOTE: Highlighted Job duties ARE the  REQUIRED SKILLS , please make sure that they have details around these types of duties clearly outlined in their resumes.  Thank you. Location:  Auburn Hills, MI (at least two days on site per week) Business Analyst (Data Governance and Data Quality Management) · Partner with Data Stewards and Information Architects in support of Data Governance and Data Quality Management activities  for the Chief Data & Analytics Office.  · Collaborate with business and technical stakeholders to query/research data sources, and analyze data for various initiatives, include regulatory and operational reporting.  · Responsible for  researching, gathering, and documenting data, metadata, and reference data in our Collibra Data Catalog  to ensure it  aligns with regulatory expectations. · Meet with various stakeholders to gather information, facilitate meetings, conduct research, and document information . · Financial Services / Banking experience preferred .     Kindly please share your resumes to ‪ srikar@isofttekinc.com or ‪(707) 435-3471

About Snorkel At Snorkel, we believe meaningful AI doesn't start with the model, it starts with the data. We're on a mission to help enterprises transform expert knowledge into specialized AI at scale. The AI landscape has gone through incredible changes between 2015, when Snorkel started as a research project in the Stanford AI Lab, to the generative AI breakthroughs of today. But one thing has remained constant: the data you use to build AI is the key to achieving differentiation, high performance, and production-ready systems. We work with some of the world's largest organizations to empower scientists, engineers, financial experts, product creators, journalists, and more to build custom AI with their data faster than ever before. Excited to help us redefine how AI is built? Apply to be the newest Snorkeler! About the Role Snorkel AI is hiring a hands-on technical leader to build and lead the data science and engineering team within our Expert Data-as-a-Service (DaaS) organization. This is a foundational leadership role focused on scaling data science excellence across our delivery workflows. You'll be responsible for hiring and mentoring a high-performing team of data scientists and engineers, establishing best practices for data quality and validation, designing novel ML approaches to make human-in-the-loop techniques to make data generation and review more efficient. You will build the systems and tools that enable consistent, scalable, and high-quality data delivery to our customers. Sitting at the critical intersection of data science, engineering and operations, you'll partner closely with the DaaS Delivery Operations team and cross-functional stakeholders to define quality standards, develop measurement frameworks, drive ML-based workflows to improve data pipelines and unblock projects through technical innovation. As the founding member, you'll also roll up your sleeves to define and own the workflows and processes that are needed to deliver exceptional data at scale. Main Responsibilities Build and lead the Data Science and Engineering, DaaS organization setting a clear vision and scaling its impact across Snorkel's Expert Data-as-a-Service workflows Own and evolve the data pipeline components of the DaaS stack, including model-assisted labeling, quality estimation, and data-centric feedback loops that guide human input Define and implement scalable processes for data generation and validation, quality measurement, and delivery-readiness across a range of annotation projects Develop robust systems for request intake, task distribution, SLA tracking, and progress monitoring-ensuring critical delivery support doesn't fall through the cracks Prototype and deploy LLM-based workflows to assess annotation quality, augment human review and data generation, and accelerate delivery timelines Collaborate cross-functionally with research and engineering teams to develop and productionize HITL data generation methods, quality techniques and improve internal delivery tooling Drive continuous improvement by developing reusable workflows, surfacing operational insights, and helping the org scale faster with higher quality What We're Looking For 6+ years of experience in data science and engineering roles, with 2+ years in technical management positions Proven track record of managing technical teams in fast-paced, delivery-focused environments with competing priorities Experience as a player-coach-comfortable being hands-on while supporting and scaling a small team Proven ability to thrive in fast-paced, ambiguous environments with cross-functional stakeholders Strong practical experience with LLM-based workflows, Python, SQL, and data tooling (e.g., pandas, Plotly, Streamlit, Dash) Bonus: experience working with labeling workflows or internal tooling for data delivery orgs Why Join Snorkel AI? At Snorkel AI, we're building the future of data-centric AI. Our Expert Data-as-a-Service organization partners with world-class customers to solve some of the hardest data challenges - creating training and evaluation data that power the next generation of LLMs and AI systems. You'll work directly on projects that impact real production systems, while shaping how internal teams deliver faster, better, and more intelligently. This is a rare opportunity to found a function and have a broad, lasting impact across the company. The salary range for this position based in the San Francisco Bay Area is $240,000 - $300,000. All offers include equity compensation in the form of employee stock options. #LI-CG1 Be Your Best at Snorkel Joining Snorkel AI means becoming part of a company that has market proven solutions, robust funding, and is scaling rapidly-offering a unique combination of stability and the excitement of high growth. As a member of our team, you'll have meaningful opportunities to shape priorities and initiatives, influence key strategic decisions, and directly impact our ongoing success. Whether you're looking to deepen your technical expertise, explore leadership opportunities, or learn new skills across multiple functions, you're fully supported in building your career in an environment designed for growth, learning, and shared success. Snorkel AI is proud to be an Equal Employment Opportunity employer and is committed to building a team that represents a variety of backgrounds, perspectives, and skills. Snorkel AI embraces diversity and provides equal employment opportunities to all employees and applicants for employment. Snorkel AI prohibits discrimination and harassment of any type on the basis of race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local law. All employment is decided on the basis of qualifications, performance, merit, and business need. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Job Description DPR is looking for an experienced AI Data Engineer to join our Data and AI team and work closely with the Data Platform, BI and Enterprise architecture teams to influence the technical direction of DPR's AI initiatives. You will work closely with cross-functional teams, including business stakeholders, data engineers, and technical leads, to ensure alignment between business needs and data architecture and define data models for specific focus areas. Responsibilities Integrate the semantic layer to serve as an AI-ready knowledge base, enabling applications such as advanced analytics, prompt engineering for large language models, and intelligent data discovery while ensuring seamless connectivity and holistic data understanding across the enterprise. Develop standards, guidelines, and best practices for knowledge representation, semantic modeling, and data standardization across DPR to ensure a clear and consistent approach within the enterprise semantic layer. Establish and refine operational processes for semantic model development, including intake mechanisms for new requirements (e.g., from AI prompt engineering initiatives) and backlog management, ensuring efficient and iterative delivery. Partner closely with analytics engineers and data architects to deeply understand the underlying data models in Snowflake and develop a profound understanding of our business domains and data entities. Provide strategic guidance on how structured data can be seamlessly transformed, optimized, and semantically enriched for advanced AI consumption and traditional BI/Analytics tools. Lead the effort to establish and maintain comprehensive documentation for all aspects of the semantic layer, which includes defining and standardizing key business metrics, documenting ontological definitions, relationships, usage guidelines, and metadata for all semantic models, ensuring clarity, consistency, and ease of understanding for all data users. Evaluate and monitor the performance, quality, and usability of semantic systems, ensuring they meet organizational objectives, external standards, and the demands of AI applications. Act as a thought leader, constantly evaluating emerging trends in knowledge graphs, semantic AI, prompt engineering, and related technologies to strategically enhance DPR's capabilities in knowledge representation and data understanding. Rapidly prototype high-priority solutions in cloud platforms, demonstrating their feasibility and business value. Participate in all phases of the project lifecycle and lead data architecture initiatives. Qualifications Proven expertise in data analysis, data modeling, and data engineering with a focus on cloud- native data platforms. 5+ years of hands-on experience in semantic modeling, ontology engineering, knowledge graphs, or related AI data preparation. 3+ years of experience developing data solutions specifically for AI/ML applications leveraging structured data. 3+ years of experience with data warehousing concepts, dimensional modeling, and data governance principles as they relate to structuring data for semantic enrichment. Proficiency in SQL and experience working with cloud-based data warehouses, preferably Snowflake. Strong analytical and problem-solving skills with keen attention to detail and the ability to translate complex business concepts into logical ontologies and knowledge graph structures. Strong proficiency in SQL, Python, and PySpark. Familiarity with agile methodologies, and experience working closely with cross functional teams to manage technical backlogs. Skilled in orchestrating and automating data pipelines within a DevOps framework. Strong communicator with the ability to present ideas clearly and influence stakeholders - with a passion for enabling data-driven transformation. DPR Construction is a forward-thinking, self-performing general contractor specializing in technically complex and sustainable projects for the advanced technology, life sciences, healthcare, higher education and commercial markets. Founded in 1990, DPR is a great story of entrepreneurial success as a private, employee-owned company that has grown into a multi-billion-dollar family of companies with offices around the world. Working at DPR, you'll have the chance to try new things, explore unique paths and shape your future. Here, we build opportunity together-by harnessing our talents, enabling curiosity and pursuing our collective ambition to make the best ideas happen. We are proud to be recognized as a great place to work by our talented teammates and leading news organizations like U.S. News and World Report, Forbes, Fast Company and Newsweek. Explore our open opportunities at www.dpr.com/careers.

Neuberger Berman is seeking a Senior Developer to support the firm's enterprise data platform initiatives. This individual will play a crucial role in developing, optimizing, and maintaining the firm's data platform and supporting its broader data and analytics vision. This is an exciting opportunity for a highly motivated and technically proficient professional to contribute to the firm's data-driven innovation and operational excellence. This role is ideal for a highly motivated and technically proficient professional looking to contribute to the firm's data and analytics vision, while furthering their expertise in modern data technologies and cloud-based solutions. Responsibilities: Contribute to the design, development, and deployment of the firm's central data marketplace platform, ensuring scalability, performance, reliability, and security to serve enterprise-wide business needs. Architect and build modern, user-friendly, and highly responsive full-stack applications that enable seamless discovery, access, and governance of data assets across the organization. Architect and build event-driven processes such as data subscriptions and distribution. Integrate advanced AI and agentic capabilities (OpenAI, LangChain, LangGraph, etc.) into the platform to power intelligent search, recommendation, automation, and operational intelligence features. Collaborate with the Lead Technologist II to ensure the platform aligns with the firm's strategic data management vision and technical architecture. Drive the evaluation and implementation of emerging technologies, frameworks, and cloud services to ensure the product remains at the forefront of innovation and delivers differentiated value. Champion software engineering best practices, including CI/CD, automated testing, code reviews, and agile development methodologies. Mentor junior engineers and actively contribute to architectural decisions, technical standards, and continuous improvement initiatives. Requirements: Minimum of 7+ years of hands-on software engineering experience, with a strong track record of delivering complex, scalable, and high-impact products. Bachelor's degree required; Master's or equivalent experience in Computer Science, Engineering, or related field preferred. Deep expertise in full-stack development, including frontend technologies (React, Angular, Vue, or equivalent), backend technologies (Python, Java, Node.js, etc.), and RESTful API design. Proven ability to design and deliver modern software products leveraging distributed systems, microservices, and event-driven architectures. Experience leveraging modern data and workflow tools such as Airflow, Kafka, Spark, DuckDB, DBT, Dremio, and Postgres Experience integrating advanced AI/ML solutions and frameworks, including OpenAI APIs, agentic architectures, LangChain, LangGraph, MCP, etc. Solid understanding of enterprise data management concepts, including data discovery, governance, access control, and security. Excellent communication skills, able to engage effectively with technical and non-technical stakeholders. Highly collaborative, proactive, and comfortable working in fast-paced, dynamic environments. Strong problem-solving skills, with a passion for leveraging new technologies to drive product innovation and operational excellence. Leadership: Ability to work independently while fostering a collaborative team environment. Effective at communicating technical concepts and strategic priorities to a wide range of audiences. Highly driven and results-oriented, with a passion for delivering high-impact solutions. Work Location: This is a hybrid role in our New York office requiring a minimum of 2 days per week in office. #LI-DD2 #LI-Hybrid Compensation Details The salary range for this role is $140,000-$175,000. This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the range may be modified in the future. This range is only applicable for jobs to be performed in the job posting location. An employee's pay position within the salary range will be based on several factors including, but limited to, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, business sector, performance, shift, travel requirements, sales or revenue-based metrics, market benchmarking data, any collective bargaining agreements, and business or organizational needs. This job is also eligible for a discretionary bonus, which, along with base salary and retirement contributions, is part of our total comprehensive package. We offer a comprehensive package of benefits including paid time off, medical/dental/vision insurance, 401(k), life insurance and other benefits to eligible employees. Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, production, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law. Neuberger Berman is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com. Learn about the Applicant Privacy Notice.

Company Overview: Blue Orange Digital is a cloud-based data transformation and predictive analytics development firm with offices in NYC and Washington, DC. From startups to Fortune 500's, we help companies make sense of their business challenges by applying modern data analytics techniques, visualizations, and AI/ML. Founded by engineers, we love passionate technologists and data analysts. Our startup DNA means everyone on the team makes a direct contribution to the growth of the company. Position Overview: We are seeking a Databricks Data Architect who can own Lakehouse design and governance and represent that vision in front of clients. You'll spend most of your time embedded with delivery squads—modeling data, tuning clusters, and enforcing standards—but you'll also step into discovery workshops, help scope solutions, and support pre-sales conversations when deep architectural insight is needed. Responsibilities: Client Engagement & Solution Development Act as the primary technical liaison during key engagements—translating business goals into architecture that both sides understand. Lead discovery workshops and roadmap sessions to surface requirements, constraints, and success metrics, then map them to scalable Databricks patterns. Partner with account & sales teams to shape estimates, reference architectures, and bill-of-materials for proposals and SOWs. Provide architecture-level answers for RFPs/RFIs and join pitch calls when deep Databricks credibility is essential. Mentor client technical leads during early project phases to ensure knowledge transfer and long-term success. Lakehouse Architecture & Design Design logical/physical models, storage layers, and streaming/CDC patterns with Delta Lake and Unity Catalog. Architect multi-cloud Databricks solutions (AWS, Azure, GCP) covering ETL/ELT, structured streaming, and governance zones. Governance & Security Define catalog/permission models, retention policies, and lineage artifacts to meet HIPAA, SOC 2, GDPR, and similar frameworks. Implement row-/column-level security, tokenization, and end-to-end audit logging. Performance & Cost Optimization Tune cluster sizing, Photon/SQL Warehouse configs, Z-Ordering, and auto-compaction to hit SLA and cost targets. Instrument dashboards for query latency, job runtimes, and spend. Implementation Leadership Lead design reviews, pair with engineers on PySpark/Scala, and sign off on pull requests before production. Publish best-practice templates, Terraform workspace bootstraps, and CI/CD guidelines. Cross-Functional Collaboration Work closely with Platform Ops, Security, Analytics, and Product teams to translate requirements into production-ready data solutions. Host lunch-and-learns and brown-bag demos to level-up Databricks skill sets across Blue Orange. Requirements: 5–7 years building cloud data platforms; 3+ years hands-on with Databricks. Deep expertise in Delta Lake ACID, Unity Catalog, and Spark performance tuning. Proven experience architecting Lakehouse or Cloud DW solutions on two or more major clouds. Strong SQL + PySpark/Scala; working knowledge of dbt, Airflow, or similar orchestrators. Databricks Data Engineer Professional certification (or ability to earn in 90 days). Excellent communication skills for client workshops, documentation, and mentoring. Ability to engage with and communicate effectively with clients at all levels developing technical solutions that solve their challenges and/or advance their interests. Bachelor's degree or higher in Computer Science, Engineering, Data Science, or related field, or equivalent experience. Ability to translate complex technical concepts into understandable terms; adept at engaging and influencing senior management and non-technical stakeholders. Exceptional communication, presentation, and interpersonal skills, particularly adept at conveying complex technical concepts effectively to non-technical audiences with ease. Self-directed and motivated with a results-driven approach, capable of achieving deliveries and outcomes independently with limited external direction. Eager to learn and adapt in a rapidly evolving tech landscape. Ability and willingness to travel as required to meet clients and attend industry events. Preferred qualifications: Experience as a Databricks Champion within your organization. Experience migrating legacy Hadoop/Snowflake/Redshift to Lakehouse. Familiarity with MLflow, Feature Store, and Databricks Model Serving. DataOps/CI-CD for notebooks and IaC (Terraform, Azure DevOps, GitHub Actions). Domain depth in one of our focus verticals (FinTech, Sports Analytics, Manufacturing, etc.). Experience with transactional data systems and stacks, such as Java, Spring Boot, Kafka, SQL Server, Postgres, MongoDB, as well as microservices, message queues, actor-models, event-driven architectures, etc. Experience consulting in any of the following vertical industries: Financial Services Healthcare Retail/CPG Manufacturing Travel & Hospitality Experience working with ERP systems such as SAP, Oracle Netsuite, Microsoft Dynamics, JD Edwards, Oracle, Sage, Workday, etc. Engineering certifications in Databricks (beyond pro), Azure, AWS, GCP, Snowflake, and related tools. Experience serving as a consultory liaison between clients and our technical teams. Engage with senior-level stakeholders to understand their business challenges and articulate clear, compelling technical solutions aligned with their strategic goals. Self-starter, proven abilities leading complex client engagement deliveries, often with ambiguity and little direction. Masters, MBA, or other advanced degree a plus. Benefits: 401k Matching Unlimited PTO 100% remote role with an option for hybrid Healthcare, Dental, Vision, and Life Insurance Paid parental/bereavement leave Home office stipend Salary : 165,000 - 185,000 annual salary (USD $) Background checks may be required for certain positions/projects. Blue Orange Digital is an equal opportunity employer.