Data Science Jobs 2026 (Now Hiring) – Smart Auto Apply

Overview Baker Tilly is a leading advisory, tax and assurance firm, providing clients with a genuine coast-to-coast and global advantage in major regions of the U.S. and in many of the world's leading financial centers- New York, London, San Francisco, Los Angeles, Chicago and Boston. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP (Baker Tilly) provide professional services through an alternative practice structure in accordance with the AICPA Code of Professional Conduct and applicable laws, regulations and professional standards. Baker Tilly US, LLP is a licensed independent CPA firm that provides attest services to its clients. Baker Tilly Advisory Group, LP and its subsidiary entities provide tax and business advisory services to their clients. Baker Tilly Advisory Group, LP and its subsidiary entities are not licensed CPA firms. Baker Tilly Advisory Group, LP and Baker Tilly US, LLP, trading as Baker Tilly, are independent members of Baker Tilly International, a worldwide network of independent accounting and business advisory firms in 141 territories, with 43,000 professionals and a combined worldwide revenue of $5.2 billion. Visit bakertilly.com or join the conversation on LinkedIn, Facebook and Instagram. Please discuss the work location status with your Baker Tilly talent acquisition professional to understand the requirements for an opportunity you are exploring. Baker Tilly is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability or protected veteran status, gender identity, sexual orientation, or any other legally protected basis, in accordance with applicable federal, state or local law. Any unsolicited resumes submitted through our website or to Baker Tilly Advisory Group, LP, employee e-mail accounts are considered property of Baker Tilly Advisory Group, LP, and are not subject to payment of agency fees. In order to be an authorized recruitment agency ("search firm") for Baker Tilly Advisory Group, LP, there must be a formal written agreement in place and the agency must be invited, by Baker Tilly's Talent Attraction team, to submit candidates for review via our applicant tracking system. Job Description: Associate Data Engineer As a Senior Consultant- Associate Data Engineer you will design, build, and optimize modern data solutions for our mid‑market and enterprise clients. Working primarily inside the Microsoft stack (Azure, Synapse, and Microsoft Fabric), you will transform raw data into trusted, analytics‑ready assets that power dashboards, advanced analytics, and AI use cases. You'll collaborate with solution architects, analysts, and client stakeholders while sharpening both your technical depth and consulting skills. Key Responsibilities: Data Engineering: Develop scalable, well‑documented ETL/ELT pipelines using T‑SQL, Python, Azure Data Factory/Fabric Data Pipelines, and Databricks; implement best‑practice patterns for performance, security, and cost control. Modeling & Storage: Design relational and lakehouse models; create Fabric OneLake shortcuts, medallion‑style layers, and dimensional/semantic models for Power BI. Quality & Governance: Build automated data‑quality checks, lineage, and observability metrics; contribute to CI/CD workflows in Azure DevOps or GitHub. Client Delivery: Gather requirements, demo iterative deliverables, document technical designs, and translate complex concepts to non‑technical audiences. Continuous Improvement: Research new capabilities, share findings in internal communities of practice, and contribute to reusable accelerators. Collaborate with clients and internal stakeholders to design and implement scalable data engineering solutions. Qualifications: Education- Bachelor's in Computer Science, Information Systems, Engineering, or related field (or equivalent experience) Experience- 2-3 years delivering production data solutions, preferably in a consulting or client‑facing role. Technical Skills: Strong T‑SQL for data transformation and performance tuning. Python for data wrangling, orchestration, or notebook‑based development. Hands‑on ETL/ELT with at least one Microsoft service (ADF, Synapse Pipelines, Fabric Data Pipelines). Project experience with Microsoft Fabric (OneLake, Lakehouses, Data Pipelines, Notebooks, Warehouse, Power BI DirectLake) preferred Familiarity with Databricks, Delta Lake, or comparable lakehouse technologies preferred Exposure to DevOps (YAML pipelines, Terraform/Bicep) and test automation frameworks preferred Experience integrating SaaS/ERP sources (e.g., Dynamics 365, Workday, Costpoint) preferred

Location: 4910 Tiedeman Road, Brooklyn Ohio ABOUT THE JOB (JOB BRIEF) Under manager's supervision, the Senior Data Scientist is primarily responsible for conducting quantitative modeling and analytics of financial crimes. Leveraging both current and emerging technologies and applications, this role covers all key aspects of model development and analytics, i.e. data identification and gathering, methodology/technique selection, performance assessment, documentation, and ongoing monitoring. ESSENTIAL JOB FUNCTIONS Under manager's oversight, perform a broad range of quantitative works, including model development and ad hoc analytics to address financial crime compliance needs in AML/BSA/OFAC Research, compile and evaluate large sets of data to assess quality and determine suitability for model building Develop/maintain internal models and test/configure vendor solutions to ensure conceptually sound design, proper implementation, and acceptable model performance Document model development process and outcomes properly and support model validation and review Employ innovative techniques to drive continuous improvements in model effectiveness and efficiency, e.g. reducing false positives Proactively develop and build technical skills and business knowledge; and effectively collaborate with compliance, technology, and risk partners REQUIRED QUALIFICATIONS Master's or Ph.D. degree in statistics, mathematics, economics, computer science, data sciences, predictive modeling, or other quantitative disciplines and at least 3 years of relevant experience, preferred in AML/BSA, OFAC, or fraud modeling/analytics; 4 years with bachelor's degree Solid expertise with both traditional and Machine Learning (ML)/Artificial Intelligence (AI) modeling practice and solutions Hands-on work experience with statistical coding in SAS and/or Python Knowledge of and ability to leverage traditional databases, cloud-based computing, and distribution computing Knowledge of financial crime regulatory requirements, technology, and data analysis best practices Excellent verbal, written and visual communication skills; ability to translate technical observations to a non-technical audience Candidates must be located in or willing to relocate to Cleveland, OH or Buffalo, NY COMPENSATION AND BENEFITS This position is eligible to earn a base salary in the range of $94,000.00 - $175,000.00 annually. Placement within the pay range may differ based upon various factors, including but not limited to skills, experience and geographic location. Compensation for this role also includes eligibility for incentive compensation which may include production, commission, and/or discretionary incentives. Please click here for a list of benefits for which this position is eligible. Key has implemented an approach to employee workspaces which prioritizes in-office presence, while providing flexible options in circumstances where roles can be performed effectively in a mobile environment. Job Posting Expiration Date: 02/22/2026 KeyCorp is an Equal Opportunity Employer committed to sustaining an inclusive culture. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, pregnancy, disability, veteran status or any other characteristic protected by law. Qualified individuals with disabilities or disabled veterans who are unable or limited in their ability to apply on this site may request reasonable accommodations by emailing HR_Compliance@keybank.com. #LI-Hybrid

At GEICO, we offer a rewarding career where your ambitions are met with endless possibilities. Every day we honor our iconic brand by offering quality coverage to millions of customers and being there when they need us most. We thrive through relentless innovation to exceed our customers' expectations while making a real impact for our company through our shared purpose. When you join our company, we want you to feel valued, supported and proud to work here. That's why we offer The GEICO Pledge: Great Company, Great Culture, Great Rewards and Great Careers. Position Summary GEICO is seeking an experienced Staff Engineer with a passion for building high-performance, low maintenance, zero-downtime data solutions. You will help drive our insurance business transformation as we transition from a traditional IT model to a tech organization with engineering excellence as its mission. Within the Data Analytics and Vertical Engineering team, you will develop state-of-the-art data pipelines, models, and reports, transforming vast datasets that reach up to multiple terabytes in size, while championing innovation, best practices, and continuous learning. Position Description As a Staff Engineer, you will work to provide an excellent user experience for our internal stakeholders across the organization and maintain the highest standards of data and analytics engineering. Our team thrives and succeeds in delivering high quality data solutions in a hyper-growth environment where priorities shift quickly. We're seeking a visionary engineer who combines broad and deep technical expertise with strong leadership skills. The ideal candidate excels in designing advanced data processing pipelines, dimensional data modeling, and report development. Position Responsibilities As a Staff Engineer, you will: Lead technical execution at the team level, overseeing data modeling architecture and design to ensure schemas are aligned with Business, AI, and Product analytical requirements. Scope, design, and build scalable, resilient distributed systems. Develop data pipelines and transform data. Leverage your passion for data exploration to produce high quality reports with tools such as Power BI, Apache Superset, and React, empowering outstanding business decisions. Apply your technical expertise to shape product definitions and drive towards optimal solutions. Lead design sessions and code reviews with peers to elevate the quality of engineering across the organization. Spearhead new feature use and innovate within existing tooling. Engage in cross-functional collaboration throughout the entire development lifecycle. Manage data pipelines, ensuring consistent data availability. Mentor other engineers. Consistently share best practices and improve processes within and across teams. Qualifications Advanced programming experience and big data experience within Python, SQL, dbt, Spark, Kafka, Trino, Git, Containerization (Docker and Kubernetes) Advanced experience with Data Warehouses (Snowflake preferred), dimensional modeling, and analytics Experience with Apache Iceberg for managing large-scale tabular data in data lakes Demonstrable knowledge of business intelligence tools (Power BI and Apache Superset preferred) Experience with orchestration tools such as Apache Airflow or similar technologies to automate and manage complex data pipelines Experience architecting and designing new ETL and BI systems Experience with supporting existing ETL and BI systems Experience with CI/CD to ensure smooth and continuous integration and deployment of data solutions Ability to balance the competing needs of multiple priorities and excel in a dynamic environment Advanced understanding of DevOps concepts including Azure DevOps framework and tools Knowledge of developer tooling across the data development life cycle (task management, source code, building, deployment, operations, real-time communication) Understanding of microservices oriented architecture and REST APIs and GraphQL Advanced understanding of data quality monitoring and automated testing Strong problem-solving ability Experience with front end development using React/JavaScript is a plus Experience with Contact Center, Marketing, Product, Sales, Service, Customer, Associate, Billing, Agency, Claims, or Telematics data is preferred Experience 8+ years of professional data and/or analytics engineering, programming languages and developing with big data technologies 5+ years of experience with data architecture and design 5+ years of experience with AWS, GCP, Azure, or another cloud service 4+ years of experience with ETL and/or BI tools 4+ years of experience in open-source frameworks 3+ years of experience in Big-data tools like Spark and Databricks Education Bachelor's degree in Computer Science, Information Systems, Data Science, Statistics, Data Analytics or equivalent education or work experience Annual Salary $110,000.00 - $230,000.00 The above annual salary range is a general guideline. Multiple factors are taken into consideration to arrive at the final hourly rate/ annual salary to be offered to the selected candidate. Factors include, but are not limited to, the scope and responsibilities of the role, the selected candidate's work experience, education and training, the work location as well as market and business considerations. GEICO will consider sponsoring a new qualified applicant for employment authorization for this position. The GEICO Pledge: Great Company: At GEICO, we help our customers through life's twists and turns. Our mission is to protect people when they need it most and we're constantly evolving to stay ahead of their needs. We're an iconic brand that thrives on innovation, exceeding our customers' expectations and enabling our collective success. From day one, you'll take on exciting challenges that help you grow and collaborate with dynamic teams who want to make a positive impact on people's lives. Great Careers: We offer a career where you can learn, grow, and thrive through personalized development programs, created with your career - and your potential - in mind. You'll have access to industry leading training, certification assistance, career mentorship and coaching with supportive leaders at all levels. Great Culture: We foster an inclusive culture of shared success, rooted in integrity, a bias for action and a winning mindset. Grounded by our core values, we have an an established culture of caring, inclusion, and belonging, that values different perspectives. Our teams are led by dynamic, multi-faceted teams led by supportive leaders, driven by performance excellence and unified under a shared purpose. As part of our culture, we also offer employee engagement and recognition programs that reward the positive impact our work makes on the lives of our customers. Great Rewards: We offer compensation and benefits built to enhance your physical well-being, mental and emotional health and financial future. Comprehensive Total Rewards program that offers personalized coverage tailor-made for you and your family's overall well-being. Financial benefits including market-competitive compensation; a 401K savings plan vested from day one that offers a 6% match; performance and recognition-based incentives; and tuition assistance. Access to additional benefits like mental healthcare as well as fertility and adoption assistance. Supports flexibility- We provide workplace flexibility as well as our GEICO Flex program, which offers the ability to work from anywhere in the US for up to four weeks per year. The equal employment opportunity policy of the GEICO Companies provides for a fair and equal employment opportunity for all associates and job applicants regardless of race, color, religious creed, national origin, ancestry, age, gender, pregnancy, sexual orientation, gender identity, marital status, familial status, disability or genetic information, in compliance with applicable federal, state and local law. GEICO hires and promotes individuals solely on the basis of their qualifications for the job to be filled. GEICO reasonably accommodates qualified individuals with disabilities to enable them to receive equal employment opportunity and/or perform the essential functions of the job, unless the accommodation would impose an undue hardship to the Company. This applies to all applicants and associates. GEICO also provides a work environment in which each associate is able to be productive and work to the best of their ability. We do not condone or tolerate an atmosphere of intimidation or harassment. We expect and require the cooperation of all associates in maintaining an atmosphere free from discrimination and harassment with mutual respect by and for all associates and applicants.

Combat Data Systems Engineer The Opportunity: Are you looking for an opportunity to combine your technical skills with big picture thinking to make an impact on national defense? You understand your customer's environment and how to develop the right systems for their mission. Your ability to translate real-world needs into technical specifications makes you an integral part of delivering a customer-focused engineering solution. As a Combat Data Systems Engineer on our team, you'll have the chance to design mission data file reprogramming solutions in support of combat data systems that enable weapons systems to identify, locate, and attack threats. Your technical expertise will be vital as you help develop and implement a transformative approach to mission data file updates. You'll develop your skills in DoD acquisition and systems engineering while gaining experience in fifth-generation fighter technology, artificial intelligence (AI), and electromagnetic sensor data. Grow your skills by merging systems engineering and data fusion to create reprogramming tools that accelerate sensor fusion, combat identification, and weapon cueing or targeting. Join our team and help turn requirements into accomplishments that drive change. Join us. The world can't wait. You Have: 6+ years of experience in an engineering, technical acquisition, software, or data analysis position 2+ years of experience in engineering design or requirements development Knowledge of sensor data Knowledge of DoD acquisition and systems engineering processes Ability to develop Concept of Operations, define system requirements, and oversee implementation of the technical approach to mission data file reprogramming Ability to communicate and coordinate across large stakeholder groups Secret clearance Bachelor's degree in an Engineering field Nice If You Have: Experience with project management, acquisition support, or engineering with DoD aviation related systems Experience with weapon system sensor data, data fusion, combat ID, mission data files, or reprogramming labs Knowledge of the F-35 Joint Reprogramming Enterprise Knowledge of AI and machine learning approaches to multi-source data fusion for combat ID Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $86,800.00 to $198,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date. Identity Statement As part of the application process, you are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud. Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you'll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you'll work with colleagues and clients in person, as needed for the specific role. Commitment to Non-Discrimination All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.

Awardco is reimagining the workplace to be more rewarding, supportive, and fun for everyone. As one of the fastest-growing companies in the employee experience industry, our mission is to help employees love what they do, love where they work, and get recognized for their efforts-especially our own employees! And as winners of Glassdoor's Best Places to Work, Best in Brightest in the Nation, and Great Place to Work, we do much more than talk the talk. Awardco is looking for a Sr. Data Engineer to join our Product team in Lindon, Utah. This role is crucial for designing, developing, and maintaining our data infrastructure and pipelines, ensuring data is accurate, accessible, and reliable for product features and analytical insights. You'll be instrumental in building scalable solutions that support our rapidly growing data needs, working with modern data technologies and collaborating closely with product managers and other engineering teams. If you're passionate about data, enjoy solving complex problems, and thrive in a fast-paced environment, we encourage you to apply! What you will do: Design, develop, and maintain scalable and robust ETL/ELT pipelines to support product features and analytical requirements. Lead the architecture of scalable, high-performance data models and schemas. Collaborate with product managers and software engineers to understand data needs and implement solutions that drive product innovation. Develop and manage data ingestion processes from various sources into our data platform. Implement and maintain data quality checks and monitoring to ensure data accuracy and reliability. Utilize cloud computing platforms to deploy and manage data infrastructure and services. Work with technologies like Spark and Databricks for large-scale data processing and transformation. Automate data workflows and operational tasks using programming languages like Python. Participate in Agile development processes, including sprint planning, stand-ups, and retrospectives. Troubleshoot and resolve data-related issues, ensuring minimal disruption to data availability and integrity. Mentor other engineers on data engineering best practices. What you will bring: Minimum Qualifications: BS/MS degree in Computer Science or a related technical field or equivalent experience. 5+ years of relevant technical experience in data engineering or a similar role. Strong proficiency in SQL and database management systems. Strong proficiency in dimensional and relational data modeling. Experience with programming languages such as Python for data ingestion and transformation. Experience with modern data warehousing solutions (Databricks, Snowflake, BigQuery, or Redshift). Demonstrated experience with cloud computing platforms (Azure, GCP, or AWS). Preferred Qualifications: Experience with distributed data processing engines such as Apache Spark, Apache Flink, or Trino. Understanding of containerization technologies like Kubernetes and Docker. Experience with messaging systems such as Apache Kafka. Knowledge of infrastructure as code tools like Terraform and monitoring tools like Prometheus. Experience with modern data modeling and transformation tools like dbt. Why Awardco: We have a revolutionary, client-approved product. One of the fastest growing companies in the nation: 3x Inc. 500, 2x Deloitte Technology Fast 500, 2x Mountain West Capital Network Fast 100, 3x Fast 50 (Utah Business), and 3x UV50 Fastest Growing Companies (BusinessQ), to name just a few. Great Place to Work certified, ranked in Inc. Best Workplaces, one of the Best and Brightest companies to work for, and ranked on the Salt Lake Tribune's Top Workplaces. Backed by renowned investors, both local and national.

Thank you for your interest in The University of New Orleans. Once you start the application process, you will not be able to save your work, so you should collect all required information before you begin. The required information is listed below in the job posting. You must complete all required portions of the application and attach the required documents in order to be considered for employment. Department Compliance Operations Job Summary Job Description Leverage large amounts of complex, multi-source data to inform day-to-day management of the Louisiana Medicaid program. Produce analytical reports on measures and metrics set by departmental priorities. Prepare code and queries using the Medicaid Administrative Reporting System (MARS) data warehouse or other systems developed or used to track Medicaid data. Meet with program staff to develop business use questions and translate those questions into data queries and analysis to accurately address the questions. Translate complex quantitative and statistical analysis for non-technical staff members. Formulate analytic tasks in support of business objectives, including policy research and development, program design and implementation ongoing operations and outcome evaluation. Maintains data dictionary by entering and revising definitions. Maintain a working knowledge of statistical methods, relevant computer software, and other technologies requires to perform responsibilities. Identify and correct systematic data errors (encounter, claims and provider registry data). Develop long and short range plans for staff organization, training, and equipment needs. Conduct an annual performance evaluation for each subordinate, setting future goals and strategies. Conduct recruitment, selection, training, supervision, and professional development of assigned staff. Perform other tasks as directed. QUALIFICATIONS REQUIRED: Bachelor's Degree or 6 years of professional experience in statistics, sampling or data analytics in lieu of degree, Two years of practical experience in data analytics/analysis. Excellent analytical skills, effective organizational and time management skills. Strong verbal and written communications skills and ability to communicate technical concepts to technical and nontechnical audiences. Great attention to detail and follow up. Ability to manage projects, assignments and competing priorities. DESIRED: Bachelor's degree in computer science or related field which emphasized statistics, sampling or data analytics. Three years of professional experience in data analytics/analysis, statistics, or sampling. Three years of professional experience in reporting and statistical analysis. Two years of professional healthcare related experience, Medicaid program support, or experience working with insurance/Medicare. Advanced degree. Required Attachments Please upload the following documents in the Resume/Cover Letter section. Detailed resume listing relevant qualifications and experience; Cover Letter indicating why you are a good fit for the position and University of Louisiana Systems; Names and contact information of three references; Applications that do not include the required uploaded documents may not be considered. Posting Close Date This position will remain open until filled. Note to Applicant: Applicants should fully describe their qualifications and experience with specific reference to each of the minimum and preferred qualifications in their cover letter. The search committee will use this information during the initial review of application materials. References will be contacted at the appropriate phase of the recruitment process. This position may require a criminal background check to be conducted on the candidate(s) selected for hire. As part of the hiring process, applicants for positions at the University of New Orleans may be required to demonstrate the ability to perform job-related tasks. The University of New Orleans is an Affirmative Action and Equal Employment Opportunity employer. We do not discriminate on the basis of race, gender, color, religion, national origin, disability, sexual orientation, gender identity, protected Veteran status, age if 40 or older, or any other characteristic protected by federal, state, or local law.

About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,300 employees worldwide, is apart of RELX, a global provider of information-based analytics and decision tools for professional and business customers. About the Role: Are you looking to develop your Data Scientist career? Do you enjoy coaching others to achieve high standards? As a Senior Data Scientist, you will become a subject matter expert, defining projects and their execution. You will work closely with other data scientists and engineers to design, develop, and deploy cutting-edge AI solutions. You will lead AI and machine learning model development. You'll analyze extensive datasets and guide junior team members. Responsibilities: Working closely with other data scientists and engineers to design, develop, and deploy AI solutions. Leading the development of advanced AI and machine learning models to solve complex business problems. Analyzing large datasets to identify patterns and trends that can inform AI development. Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs. Evaluating and creating new frameworks and defining methodologies and governance. Mentoring junior data scientists and provide guidance on AI and machine learning best practices. Working with product leaders to apply data science solutions. Leading small- to medium-sized teams (direct or indirect). Requirements: Master's degree plus 7-10 years of work-related experience OR PhD with 6+ years of work-related experience. Have experience working directly with large language models and transformer-based architectures including BERT, RoBERTa, T5 etc. Proficient working with big data technologies and tools like Hadoop, Spark, or AWS. Have experience and knowledge of applying LLMs including ChatGPT, GPT 3.5, Claude, Mistral, etc. Be a natural problem solver, able to lead and mentor junior data scientists, and collaborate with cross-functional teams. Demonstrate proficient experience with machine learning algorithms, including deep learning, gradient boosting, and random forests. Possess advanced programming skills in Python, R, or other relevant languages for data analysis. U.S. National Base Pay Range: $115,400 - $192,300. Geographic differentials may apply in some locations to better reflect local market rates. This job is eligible for an annual incentive bonus. We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click here to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams here. Please read our Candidate Privacy Policy. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: EEO Know Your Rights.

Job Description: We Dream. We Do. We Deliver. About Merkle For more than 35 years Merkle, a dentsu company we have put people at the heart of our approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and our performance, Merkle delivers holistic experience that promotes growth, engagement, and loyalty. Merkle's expertise has earned recognition as a "Leader" by top industry analyst firms, in categories such as digital transformation, commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operate in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit www.merkle.com. We are looking for Data Solutions Architect to join our Talent Community. This is not a current open role. Please apply to this ad if you would like to be kept in the loop of our future openings. Job Description: Provide thought leadership and drive architecture of Enterprise Analytics / BI and Data Science solutions to deliver scalable implementations using the latest cloud technologies in AWS/Azure and 3rd party BI platforms Translate business goals and use cases into technical solutions to deliver actionable insights for various business processes, especially in the area of sales, finance, e-commerce, manufacturing/logistics, banking or CRM. Become the technical SPoC for all stakeholders. Set architectural vision and direction across a matrix of teams. Propose a conceptual/logical design for various data components and large volumes of data integrations. Apply effective governance methods for long-term scalability, high availability, fault tolerance, and solution elasticity in alignment with enterprise architecture, security and infrastructure guidelines and standards. Provide supervision and guidance to the implementation team (data engineers, data scientists, BI consultants, ..) to ensure the project is implemented as per business requirements Support pre-sales by proposing a technical solution and effort estimates Maintain an internal framework to ensure consistent & optimal delivery across projects. Ensure full DevOps / DataOps automation of continuous development/test/deployment processes Qualifications: Bachelor's or Master's Degree in a technology-related field (e.g. Engineering, Computer Science, IT, etc.) 3+ years experience in design and build of data solutions, a combination of relevant areas: Large-scale Data Lake / Datawarehouse (DWH) solutions Big data pipelines / ETL / APIs (data ingestion, processing, transformation and activation) development, preferably in cloud-based tools/infrastructure Business Intelligence projects, using BI tools like PowerBI, Tableau, Qlick Sense, Keboola, Tibco Spotfire … Data Science (Machine Learning) oriented solutions Understanding data concepts and patterns (Data Lake, Master Data Management, data quality, lambda architectures, streaming processing) Having a good business acumen, especially in sales, finance, e-commerce, manufacturing/logistics, banking or CRM areas Proficient in architecture methodologies and tools like diagraming (draw.io, Sparks EA, Confluence) and standards (Archimate, TOGAF) Experience with full software development lifecycle (CI/CD), including development skills using programming languages like Python/Java/Scala/C++ and relational/NoSQL databases Strong analytical and complex problem-solving skills Strong technical leadership, mentorship and collaboration Strong project management and organizational skills Preferred Skills: Proven experience with Data Lake / Datalakehouse implementations in AWS or Azure, using MS Azure (DataBricks, Data Factory, Data Lake, Cosmos DB, Event Hub, PowerBI, ..) or AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker, …) cloud services Understanding of Data Science (ML) concepts from both business and technical perspective Experience with ERP solutions like SAP, NetSuite Experience with Marketing, E-commerce and CRM solutions like Salesforce (Marketing Cloud, CDP, Commerce, CRM), Adobe (AEM, Analytics) or Google (GA, BigQuery) With us, you will become part of: An international, amazing team, where you can gain new/relevant experience A dynamic and supportive environment where you will never happen to fall into a routine Possibility to grow, in accordance with your skills and interests connected with future development Start-up agile atmosphere Friendly international team of creative minds We, obviously, offer even more: 5 weeks of vacation+ 3 wellness days ️ 2 Volunteering days to share the kindness of your heart with others Flexible working hours and home office Fully covered certifications in Salesforce, Adobe, Microsoft, etc. Full access to Dentsu Academy, on-site learning sessions Pet friendly offices Edenred meal and cafeteria points Team events: company parties, monthly breakfasts, and pub quizzes Snacks, and drinks at the office Referral bonus programme Laptop + equipment Corporate mobile phone subscription #LI-MERKLE #LI-SOFI Location: Prague Brand: Time Type: Full time Contract Type: Permanent

Software Principal Engineer The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics — all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners. Join us to do the best work of your career and make a profound social impact as a Software Principal Engineer on our Software Engineering Team in Santa Clara, California. (Local Candidates Only) What you’ll achieve As a Software Principal Engineer, you will be responsible for developing sophisticated systems and software based on the customer’s business goals, needs and general business environment creating software solutions. You will: Design, develop, and maintain different components of a Data Protection storage appliance Debug and resolve complex software, hardware, and network issues in production environments Take part in the full software development life cycle, including development, test, continuous delivery, and support Be an active member of an agile team, collaboratively realizing features through development, test, and delivery Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role: Essential Requirements 8+ years of experience in all phases of software development: feasibility, design, implementation, integration, test, delivery, and automation Strong Linux/Distributed system knowledge and hands-on experience, with experience in designing and implementing complex systems Proficient programming and debugging skills in C/C++ or Go, along with knowledge of version control (Git) and bug tracking systems (JIRA) Knowledge and expertise in Kubernetes Desirable Requirements Experience in developing software for storage appliances Strong problem solving, troubleshooting, diagnostic skills with knowledge of performance analysis tools and techniques for multi-threaded distributed systems Compensation Dell is committed to fair and equitable compensation practices. The salary range for this position is $205,700 - $266,200. Who we are We believe that each of us has the power to make an impact. That’s why we put our team members at the center of everything we do. If you’re looking for an opportunity to grow your career with some of the best minds and most advanced tech in the industry, we’re looking for you.Dell Technologies is a unique family of businesses that helps individuals and organizations transform how they work, live and play. Join us to build a future that works for everyone because Progress Takes All of Us.Dell Technologies is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. Read the full Equal Employment Opportunity Policy here .

Benefits: 401(k) matching Competitive salary Dental insurance Health insurance Vision insurance ProSol, LLC is seeking to fill the Data Scientist role in Camp Lejeune, North Carolina. Job Description: Professional Solutions1, LLC (ProSol) is currently seeking a Data Scientist to support mission-critical operations for the II Marine Expeditionary Force (II MEF). This role will play a key part in delivering data-driven insights to support operational effectiveness and strategic decision-making. Responsibilities: Assist in conducting exploratory data analysis, statistical analysis, and concept studies to define requirements, evaluate alternative analytical approaches, and estimate the value associated with data-driven projects. Assist in applying various validation techniques to demonstrate that a model, algorithm, or analytical system performs according to the objectives outlined in the original design. Clean, aggregate, and transform large, structured, and unstructured datasets to prepare them for analysis. Assist the division in identifying promising internal and external data sources that could be integrated and utilized to enhance operational effectiveness and efficiency. Assist the division in data science project management to ensure key development milestones (e.g., data acquisition, model training, validation, deployment) are planned for, executed, and documented. Analyze the division’s existing data infrastructure and processes to identify opportunities for improvement and to assess readiness for advanced analytical models. Possess a detailed understanding of the organizational structure, command relationships, and missions within the division, as well as the knowledge of how these organizations collaborate to achieve data-driven objectives. Typical associated tasks include, but are not limited to: requirements analysis, developing machine learning models, statistical modeling, data visualization, organizational performance assessment, special studies, and analysis. Conduct training sessions for uniformed members of the division on the use of various data science, analytics, and AI/ML tools and methodologies to improve data literacy and operational effectiveness across the force. Typical associated tasks include, but are not limited to: cost-performance trade-off analysis, feasibility analysis, regulatory compliance support, conceptual data model designs, and training. Given a list of operational objectives, the Data Scientist shall develop and apply statistical and machine learning models to generate insights and predictive forecasts. Results and methodologies shall be presented to the division. The Data Scientist shall provide programmatic information regarding the data sources, analytical tools, and modeling techniques used, including (if available) model performance metrics, limitations, and potential for operational integration. This information will enable the component to render an informed decision on the appropriate level of interest and trust in the analytical product. The Data Scientist shall attend various meetings and conferences to articulate validated division data requirements and to recommend division perspectives on data and AI/ML development efforts. The Data Scientist shall provide the division with required market research on emerging data science technologies and a detailed analysis of alternatives for analytical tools and platforms. The Data Scientist shall be capable of providing detailed recommendations on model design, prototype development, algorithm development, and technical and combat evaluation activities for the division Requirements: B.S. degree in Computer Science or related field At least 3 or more years of experience. Master's degree in CS or related field would be preferred Security Clearance: Secret required, TS preferred Best Regards, Shane SofiSenior Recruitment Professionalwww.prosol1.comO: 703-962-6001 x 525Direct: 703-936-0049 Hours: 6:30 a.m. to 3:30 p.m. EST Compensation: $140,000.00 - $160,000.00 per year

At Cotality, we are driven by a single mission—to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society. Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry. Job Description: Cotality is a property and location intelligence company. The hybrid-remote team you will join builds products that are at the core of all of Cotality’s data business. We are a cross-functional group of data scientists, engineers and domain SMEs in charge of digitally modelling real estate assets at a nationwide scale, both geographically and through other defining characteristics. What You Will Do : Harness the richest property and geospatial data catalog in the industry to identify uniquely identifiable locations of property development, urban expansion, and transactional activity Apply a variety of data science, machine learning, and deep learning techniques across multi-modal data assets Leverage cloud-native BigData processing capabilities on Google Cloud, directly in designing and building models, and in partnership with our engineering resources to build pipelines around them Partner with API engineering teams to make insights available to internal and external customers. Consult on data domain, schema and data subject matter in general Partner with Product Management and Sales Engineering to help build data product narratives Participate in consultative sessions with select customers to amplify the understanding of data science led value in our data products Job Qualifications: What You Bring To The Table: 9+ years of experience in working in the Data Analytics industry Hands-on experience in analyzing and building data science and analytics solutions with large scale datasets using SQL based query languages, and Python based data science libraries Understanding of US addresses and location based data Hands-on experience in building data visualizations, especially map based visualizations to showcase broad patterns of problems and opportunities in data, as well as the value added in our data science solutions Excellent articulation skills that complement the development skills to tell data stories Team player who collaborates and complements colleagues in a cross-functional team to solve hard problems Bachelor's Degree or Equivalent Work Experience Even better if you have some knowledge / experience with any of the following: Natural language processing, text embeddings, semantic similarity Working with US land parcel and/or building footprints data Working in a Pyspark notebook based environment #LI-Hybrid Annual Pay Range: 112,700 - 135,000 USD Application Window: This opportunity is expected to remain posted through the date identified below, subject to business needs. 2025-12-29 Thrive with Cotality At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life. Highlights include: Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off. Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend. Health: Multiple medical plan options with mental health and wellness support offerings. Retirement: 401(k) with company match and vesting after one year. Financial Perks: $400 annual well-being stipend and tuition assistance up to $5,250. Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more! Click here to see a comprehensive list of our benefit offerings. Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace. ​ ​ ​ Cotality is fully committed to a work environment that embraces everyone’s unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. ​ We are better together when we support and recognize our differences. ​ Global Applicant Privacy Policy By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide. Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

About this role: Wells Fargo is seeking a Lead Securities Operations Specialist within WIM Operations Account & Data Management. In this role, you will: Lead complex lifecycle initiatives and support tasks, including those that are cross-functional with broad impact, and act as key a participant in large-scale planning and deliverables; identify opportunity for process improvements within Securities Operations Review and analyze complex multi-faceted, larger scale or longer-term operational tasks or challenges that require an in-depth evaluation of multiple factors including intangibles or unprecedented factors Make decisions in complex and multi-faceted situations related to a full process within a trade environment while leveraging solid understanding of the function, policies, procedures, and compliance requirements that influence or lead team to meet deliverables and drive new initiatives Strategically collaborate and consult with peers, colleagues and mid-level to senior managers to resolve issues and achieve goals; may lead projects, teams or serve as a mentor Manage and develop expertise in the following operational processes including client account onboarding, cash payments, customer service, funding operations, custodial operations, securities settlement services, structured loan operations, and general ledger reconciliation Resolve complex escalated issues within the scope of responsibility in Security Operations Research complex business risks, develop policies, enhance customer satisfaction, and review time sensitive documents and transaction requests Exercise independent judgment in understanding trade settlement and influence workflow controls to minimalize the effects of operational breakdowns Lead overall effectiveness of the team according to plans; monitor daily securities and cash related production work Lead implementation of projects, new or revised processes, and procedures that require coordination among operation teams and perform analysis for initiatives that support business strategies making decisions on matters with financial impact and risk Required Qualifications: 5+ years of Securities Operations experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education Desired Qualifications: Brokerage Industry Knowledge & Experience Account Data and Management, Account Opening and Maintenance and/or Security Masterfile experience. Development with in Alteryx and Power BI or equiliviant business intelligence tools. Ability to translate complex technical needs into straightforward requests for information and collaboration, working with a wide range of people Experience using data visualization tools such as MicroStrategy or Tableau including report creation, dashboards, and graphical data representation Extensive knowledge and understanding of research and analysis Strong analytical skills with high attention to detail and accuracy Ability to influence across all organizational levels, particularly senior management Ability to quickly establish credibility to build and maintain effective working relationships Experience as a collaborator who has built successful relationships and influenced across business lines to drive results Experience analyzing call volumes, forecasting, and planning of staffing levels to meet the business goals for servicing and response time for customers Advanced Microsoft Office skills Effective organizational, multi-tasking, and prioritizing skills Solid problem-solving skills Job Expectations: This position offers a hybrid work schedule at the locations listed This position is not eligible for Visa sponsorship This position is not eligible for relocation Posting End Date: 1 Feb 2026 *Job posting may come down early due to volume of applicants. We Value Equal Opportunity Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. Applicants with Disabilities To request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo . Drug and Alcohol Policy Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Wells Fargo Recruitment and Hiring Requirements: a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.

Company description Terry Soot Management Group (TSMG) is a field data collection company founded in 2017 in Europe. We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges. Role Overview We are seeking reliable and safety-focused professional drivers to support a large-scale mapping data collection project. Drivers will operate client-provided vehicles equipped with specialized mapping equipment to collect high-quality street-level data across assigned zones. This role requires strong driving skills, technical awareness, and the ability to work independently while coordinating closely with field coordinators. Travel and extended assignments away from home (hotel-based work) are required. Key Responsibilities: Safely operate client-provided vehicles equipped with mapping and data collection equipment Collect mapping data within assigned zones efficiently and in compliance with project guidelines Handle and protect all client-provided vehicles, devices, and equipment Maintain vehicle and equipment cleanliness and basic upkeep Research and identify safe local parking locations to ensure vehicle and equipment security Securely park, cover, and safeguard the vehicle daily at designated locations Report and handle incidents, including traffic accidents and public interactions, in a professional manner Coordinate daily activities, assignments, and issue resolution with the Camp Coordinator Communicate technical, mechanical, or operational issues promptly Meet daily and weekly delivery targets in collaboration with project coordinators Travel long distances as required and work in “hotel mode” during assignments Maintain accurate inventory and device logs in the designated system or application Requirements: Minimum 5 years of driving experience At least 2 years of professional driving experience (e.g., taxi, delivery, logistics, courier) Good English Experience driving larger vehicles (vans, trucks) is strongly preferred Defensive, calm, and safety-oriented driving style Comfortable driving in high-traffic and stressful conditions (e.g., rush hour) Familiarity with GPS devices and navigation tools Good knowledge of local roads, neighborhoods, and traffic patterns in the working country Polite, professional, and respectful demeanor when interacting with the public Basic technical and mechanical knowledge (e.g., changing tires, reading vehicle gauges) Additional Skills & Attributes: High sense of responsibility and attention to detail Ability to follow operational procedures and safety guidelines Strong time management and reliability Comfortable working independently in the field Willingness to travel and stay on assignment for extended periods

Hi, we're Oscar. We're hiring an Associate, Provider Data Analytics to join our Provider Data Operations team. Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves-one that behaves like a doctor in the family. About the role: The Associate, Provider Data Analytics, reviews provider data-related issues and scales solutions through impact analysis. This role requires collaboration with business and technical stakeholders to represent departmental needs in company-wide strategic initiatives and problem-solving. Key responsibilities include understanding business requirements, building and managing project plans, documenting decisions, and developing risk mitigation and change management strategies. You will report into the Senior Manager, Provider Data Operations. Work Location: This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote Pay Transparency: The base pay for this role is: $87,188.40 - $114,434.78 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program and annual performance bonuses. Responsibilities: Leads end-to-end management of cross-functional projects related to provider data issues, including issue analysis, stakeholder engagement, coordination of cross-functional relationships to drive collaboration, and participation in testing to ensure accurate and effective solutions Collaborates with internal and external stakeholder groups to develop proactive solution plans for data issues, including communication strategies and program initiatives for successful change management and risk mitigation Identifies trends in provider data issues and scale solutions by leveraging various analytics to assess the overall impact Compliance with all applicable laws and regulations Other duties as assigned Requirements: A bachelor's degree or 3+ years commensurate experience 3+ years of work experience in operations, health insurance, data analysis, and/or consulting 2+ years of experience using SQL and Excel 2+ years of experience with end to end project management 2+ years of experience in designing and improving workflows as well as standing up accompanying operating and technical procedures 2+ years of experience with process improvement methodologies such as Lean, Six Sigma Bonus points: Bachelor's degree in Engineering, Business Administration, or other related field Lean Six Sigma Green Belt certification or higher This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here. At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives. Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements. Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts. Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant's disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known. California Residents: For information about our collection, use, and disclosure of applicants' personal information as well as applicants' rights over their personal information, please see our Privacy Policy.

We are looking for AI Data Specialists to support the improvement of AI-generated content in English . Job Type: Freelance Location: Texas, work from home Work Schedule: Part-time - 10+ hours per week. Flexible - work when available Start Date: Immediately Duration: TBC Rate: 15 USD/hour Help Shape the Future of AI Are you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote work? Are you interested in shaping the development and safety of today’s AI models? What You’ll Do The role involves performing diverse data-related tasks, including: - Data collection, evaluation, and annotation. - Pairwise comparisons. - Counting tasks. - Object tagging and labeling across different content types (audio, video, images, or collected data) What we’re looking for: - English Proficiency : Fluent or advanced proficiency in English (levels B2–C2) - AI & Data Capabilities (Preferred) : Experience in one or more of the following areas: machine learning tasks, data collection and preprocessing, data evaluation and quality assurance, and data annotation and labeling. What We Offer - Flexible schedule - Opportunity to earn extra income - Timely payments - The job is ideal for students, part-timers, or stay-at-home parents #LI-PR15 Vendor Type When applying, please select the option that best describes your working status. Are you a Freelancer or Private Individual? A Freelancer is someone who has a business license and may have a VAT number or EIN for tax purposes. A VAT (Value Added Tax) number is a unique identifier assigned to registered businesses in many countries; an EIN (Employer Identification Number) is a similar identifier used in the US. A Private Individual does not have a business license. If you aren’t sure, you are probably a private individual. RWS embraces DEI and promotes equal opportunity, we are an Equal Opportunity Employer and prohibit discrimination and harassment of any kind. RWS is committed to the principle of equal employment opportunity for all employees and to providing employees with a work environment free of discrimination and harassment. All employment decisions at RWS are based on business needs, job requirements and individual qualifications, without regard to race, religion, nationality, ethnicity, sex, age, disability, or sexual orientation. RWS will not tolerate discrimination based on any of these characteristics.

AI Data EngineerThis role has been designed as ‘’Onsite’ with an expectation that you will primarily work from an HPE office. Who We Are: Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way people live and work. We help companies connect, protect, analyze, and act on their data and applications wherever they live, from edge to cloud, so they can turn insights into outcomes at the speed required to thrive in today’s complex world. Our culture thrives on finding new and better ways to accelerate what’s next. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. If you are looking to stretch and grow your career our culture will embrace you. Open up opportunities with HPE. Job Description: Responsibilities : Application design and development in streaming or batch mode over Kafka and Spark Evaluate and implement new technologies and tools to improve efficiency and reduce cost Analyze and validate telemetry data, learn error patterns and produce views that show network problem conditions and patterns Work with a team of data scientists, domain experts, architects and other engineers to increase the accuracy of AI outcomes in our device management product Build CI/CD pipelines Work with SMEs and data scientists to increase accuracy of actionable insights Education and Experience Required Master's Degree in Computer Science, Information Systems, or equivalent At least 4 years of work experience in relevant technologies Bachelor's degree may be considered if candidate demonstrates exceptional abilities Knowledge and Skills 2+ years programming in experience Python 1+ years programming experience in Java Expertise in big data technologies such as Apache Spark or Kafka with at least 1 year of relevant experience Experience with containerization and orchestration tools such as Kubernetes and Airflow with at least 1 year of relevant experience Experience developing applications in Cloud computing environments such as AWS with at least 2 years of relevant experience Additional Desirable Skills Experience with developing Generative-AI and Agentic AI based applications Experience with managing and analyzing large data sets Good understanding of WiFi Wireless Networking, Switching and Routing concepts Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Release Management, Security-First Mindset, User Experience (UX) What We Can Offer You: Health & Wellbeing We strive to provide our team members and their loved ones with a comprehensive suite of benefits that supports their physical, financial and emotional wellbeing. Personal & Professional Development We also invest in your career because the better you are, the better we all are. We have specific programs catered to helping you reach any career goals you have — whether you want to become a knowledge expert in your field or apply your skills to another division. Unconditional Inclusion We are unconditionally inclusive in the way we work and celebrate individual uniqueness. We know varied backgrounds are valued and succeed here. We have the flexibility to manage our work and personal needs. We make bold moves, together, and are a force for good. Let's Stay Connected: Follow @HPECareers on Instagram to see the latest on people, culture and tech at HPE. #puertorico#aruba Job: Engineering Job Level: TCP_03 HPE is an Equal Employment Opportunity/ Veterans/Disabled/LGBT employer. We do not discriminate on the basis of race, gender, or any other protected category, and all decisions we make are made on the basis of qualifications, merit, and business need. Our goal is to be one global team that is representative of our customers, in an inclusive environment where we can continue to innovate and grow together. Please click here: Equal Employment Opportunity . Hewlett Packard Enterprise is EEO Protected Veteran/ Individual with Disabilities. HPE will comply with all applicable laws related to employer use of arrest and conviction records, including laws requiring employers to consider for employment qualified applicants with criminal histories. No Fees Notice & Recruitment Fraud Disclaimer It has come to HPE’s attention that there has been an increase in recruitment fraud whereby scammer impersonate HPE or HPE-authorized recruiting agencies and offer fake employment opportunities to candidates. These scammers often seek to obtain personal information or money from candidates. Please note that Hewlett Packard Enterprise (HPE), its direct and indirect subsidiaries and affiliated companies, and its authorized recruitment agencies/vendors will never charge any candidate a registration fee, hiring fee, or any other fee in connection with its recruitment and hiring process. The credentials of any hiring agency that claims to be working with HPE for recruitment of talent should be verified by candidates and candidates shall be solely responsible to conduct such verification. Any candidate/individual who relies on the erroneous representations made by fraudulent employment agencies does so at their own risk, and HPE disclaims liability for any damages or claims that may result from any such communication.

Anticipated End Date: 2026-01-31 Position Title: Senior Engineer Big Data Job Description: Senior Engineer Big Data Location: This role requires associates to be in-office 1-2 days per week, fostering collaboration and connectivity, while providing flexibility to support productivity and work-life balance. This approach combines structured office engagement with the autonomy of virtual work, promoting a dynamic and adaptable workplace. Alternate locations may be considered if candidates reside within a commuting distance from an office.Please note that per our policy on hybrid/virtual work, candidates not within a reasonable commuting distance from the posting location(s) will not be considered for employment, unless an accommodation is granted as required by law. The Senior Engineer Big Data is responsible for the delivery of end to end application, system development and maintenance on complex multi technology platforms within assigned client group, business unit or corporate department and utilizing various customer technology platforms. PLEASE NOTE: This position is not eligible for current or future visa sponsorship. How you will make an impact: Maintains active relationships with customers to determine business requirements and leads requirements gathering meetings. Owns the change request process and may coordinate with other teams as necessary. Provides technical advice and weighs in on technical decisions that impact cross functional teams. Research and may propose new technologies. Develops and owns list of final enhancements. Develops and defines application scope and objectives and prepares technical and/or functional specifications from with programs will be written. Performs technical design reviews and code reviews. May own technical testing to ensures unit test is completed and meets the test plan requirements, system testing is completed and system is implemented according to plan. Assesses current status and supports data information planning. Coordinates on-call support and ensures effective monitoring of system. Maintains technical development environment. Mentors others and may lead multiple or small to medium sized projects. Will begin to set direction at the project/service level and influences decision-making. Provides technical guidance, and mentoring. Understands the tradeoffs between technical, analytical and product needs of the technical solutions. Identifies and propose strategies around technical problems affecting team, communicates standards and gets buy-in on solutions. Facilitates group sessions to elicit complex information on requirements clarification, design sessions, code reviews and troubleshooting issues. Supports vendor evaluation. Minimum Requirements: Requires an BA/BS degree in Information Technology, Computer Science or related field of study and a minimum of 5 years related experience; multi-dimensional platform experience ; expert level experience with business and technical applications, or any combination of education and experience, which would provide an equivalent background. Preferred Skills, Capabilities, and Experiences: Multi database and/or multi language strongly preferred. Experience mentoring others, leading multiple small projects and providing troubleshooting support is preferred. Job Level: Non-Management Exempt Workshift: Job Family: IFT > Engineering​/Dev Please be advised that Elevance Health only accepts resumes for compensation from agencies that have a signed agreement with Elevance Health. Any unsolicited resumes, including those submitted to hiring managers, are deemed to be the property of Elevance Health. Who We Are Elevance Health is a health company dedicated to improving lives and communities – and making healthcare simpler. We are a Fortune 25 company with a longstanding history in the healthcare industry, looking for leaders at all levels of the organization who are passionate about making an impact on our members and the communities we serve. How We Work At Elevance Health, we are creating a culture that is designed to advance our strategy but will also lead to personal and professional growth for our associates. Our values and behaviors are the root of our culture. They are how we achieve our strategy, power our business outcomes and drive our shared success - for our consumers, our associates, our communities and our business. We offer a range of market-competitive total rewards that include merit increases, paid holidays, Paid Time Off, and incentive bonus programs (unless covered by a collective bargaining agreement), medical, dental, vision, short and long term disability benefits, 401(k) +match, stock purchase plan, life insurance, wellness programs and financial education resources, to name a few. Elevance Health operates in a Hybrid Workforce Strategy. Unless specified as primarily virtual by the hiring manager, associates are required to work at an Elevance Health location at least once per week, and potentially several times per week. Specific requirements and expectations for time onsite will be discussed as part of the hiring process. The health of our associates and communities is a top priority for Elevance Health. We require all new candidates in certain patient/member-facing roles to become vaccinated against COVID-19 and Influenza. If you are not vaccinated, your offer will be rescinded unless you provide an acceptable explanation. Elevance Health will also follow all relevant federal, state and local laws. Elevance Health is an Equal Employment Opportunity employer, and all qualified applicants will receive consideration for employment without regard to age, citizenship status, color, creed, disability, ethnicity, genetic information, gender (including gender identity and gender expression), marital status, national origin, race, religion, sex, sexual orientation, veteran status or any other status or condition protected by applicable federal, state, or local laws. Applicants who require accommodation to participate in the job application process may contact elevancehealthjobssupport@elevancehealth.com for assistance. Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state, and local laws, including, but not limited to, the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.

Job Description At Red Hat, we are looking for a Software Engineer to join our Data and AI Platform team in Lowell Office. In this role, you will elevate Red Hat’s data-driven culture and execution by building and delivering a best-in-class cloud-native data platform. You will work with a distributed team to deliver a delightful Developer and Analyst experience; satisfy and exceed requirements for compliance and governance; obtain high system performance and process responsiveness through automated, resilient, efficient processes; prepare to deliver on the needs of future ML-enhanced business processes; support broad internal adoption with rich enablement and low friction. What will you do? Participate in the design, implementation and reliable backend systems. Apply Infrastructure-as-Code principles in all aspects of the data platform implementation Build ML Pipeline capabilities into the Data Platform. Integrate data platform components together with other Red Hat systems and infrastructure Design and write automation software to provision, upgrade, monitor, and heal Data 'as-a-service' Automate controls and reports that satisfy compliance and regulatory requirements Develop enablement content that will assist peers and users of the data platform Service data platform users with cost and usage insight, along with cost optimization recommendations Ensure a best-class experience for data engineers, data analysts, and data scientists using the data platform, with high productivity and low friction What will you bring ? Mandatory 6+ years of software engineering experience using one or more programming languages such as Golang, Python, Java, Ruby. You should be able to hands-on code on a daily basis in any of the mentioned languages or equivalent. Good understanding of Kubernetes / OpenShift architecture and building & maintaining scalable applications on these platforms Experience in developing, manage Infrastructure as code automation platforms - Terraform or equivalent Experience in troubleshooting as-a-service offerings (SaaS, PaaS, etc.) Experience with any of the public cloud services. Bachelor's degree in Computer Science, Computer Engineering, or related field. 6+ years of software development experience with a focus on data applications & systems Exceptional software engineering skills that lead to elegant and maintainable data platform Proficiency in at least one general purpose programming language, eg. Python, Go, Java, Rust, etc. Loosely held strong opinions and perspectives that you kindly debate, defend, or change to ensure that the entire team moves as one Sets and resets the bar on all things quality, from code through to data, and everything in between Deep empathy for your users of your data platform, leading to a constant focus on removing friction, increasing adoption, and delivering business results Prunes and prioritizes work in order to maximize your contributions and impact Bias for action and leading by example Past experience in building enterprise data platforms that have a high level of governance and compliance requirements Considered a Plus: Familiarity with open source or inner source development and processes Familiarity of data mesh architectural principles Experience with Snowflake, Fivetran, dbt, Airflow / Astronomer Experience with building ML Pipelines with tools like MLflow, Kubeflow etc. Familiarity with building MCP servers/tools and Agents Working knowledge of Vector Databases, RAG Pipelines is a huge plus. #LI-NG1 The salary range for this position is $133,650.00 - $220,680.00. Actual offer will be based on your qualifications. Pay Transparency Red Hat determines compensation based on several factors including but not limited to job location, experience, applicable skills and training, external market value, and internal pay equity. Annual salary is one component of Red Hat’s compensation package. This position may also be eligible for bonus, commission, and/or equity. For positions with Remote-US locations, the actual salary range for the position may differ based on location but will be commensurate with job duties and relevant work experience. About Red Hat Red Hat is the world’s leading provider of enterprise open source software solutions, using a community-powered approach to deliver high-performing Linux, cloud, container, and Kubernetes technologies. Spread across 40+ countries, our associates work flexibly across work environments, from in-office, to office-flex, to fully remote, depending on the requirements of their role. Red Hatters are encouraged to bring their best ideas, no matter their title or tenure. We're a leader in open source because of our open and inclusive environment. We hire creative, passionate people ready to contribute their ideas, help solve complex problems, and make an impact. Benefits ● Comprehensive medical, dental, and vision coverage● Flexible Spending Account - healthcare and dependent care● Health Savings Account - high deductible medical plan● Retirement 401(k) with employer match● Paid time off and holidays● Paid parental leave plans for all new parents● Leave benefits including disability, paid family medical leave, and paid military leave● Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more! Note: These benefits are only applicable to full time, permanent associates at Red Hat located in the United States. Inclusion at Red Hat Red Hat’s culture is built on the open source principles of transparency, collaboration, and inclusion, where the best ideas can come from anywhere and anyone. When this is realized, it empowers people from different backgrounds, perspectives, and experiences to come together to share ideas, challenge the status quo, and drive innovation. Our aspiration is that everyone experiences this culture with equal opportunity and access, and that all voices are not only heard but also celebrated. We hope you will join our celebration, and we welcome and encourage applicants from all the beautiful dimensions that compose our global village. Equal Opportunity Policy (EEO) Red Hat is proud to be an equal opportunity workplace and an affirmative action employer. We review applications for employment without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, ancestry, citizenship, age, veteran status, genetic information, physical or mental disability, medical condition, marital status, or any other basis prohibited by law. Red Hat does not seek or accept unsolicited resumes or CVs from recruitment agencies. We are not responsible for, and will not pay, any fees, commissions, or any other payment related to unsolicited resumes or CVs except as required in a written contract between Red Hat and the recruitment agency or party requesting payment of a fee. Red Hat supports individuals with disabilities and provides reasonable accommodations to job applicants. If you need assistance completing our online job application, email application-assistance@redhat.com . General inquiries, such as those regarding the status of a job application, will not receive a reply.

Blackstone is the world’s largest alternative asset manager. We seek to create positive economic impact and long-term value for our investors, the companies we invest in, and the communities in which we work. We do this by using extraordinary people and flexible capital to help companies solve problems. Our $1.1 trillion in assets under management include investment vehicles focused on private equity, real estate, public debt and equity, infrastructure, life sciences, growth equity, opportunistic, non-investment grade credit, real assets and secondary funds, all on a global basis. Further information is available at www.blackstone.com . Follow @blackstone on LinkedIn , X , and Instagram . The duties and responsibilities described here are not exhaustive and additional assignments, duties, or responsibilities may be required of this position. Assignments, duties, and responsibilities may be changed at any time, with or without notice, by Blackstone in its sole discretion. Expected annual base salary range: $100,000 - $125,000 Actual base salary within that range will be determined by several components including but not limited to the individual's experience, skills, qualifications and job location. For roles located outside of the US, please disregard the posted salary bands as these roles will follow a separate compensation process based on local market comparables. Additional compensation: Base salary does not include other forms of compensation or benefits offered in connection with the advertised role. Blackstone is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, status as a victim of domestic violence, a sex offense or stalking, or any other class or status in accordance with applicable federal, state and local laws. This policy applies to all terms and conditions of employment, including but not limited to hiring, placement, promotion, termination, transfer, leave of absence, compensation, and training. All Blackstone employees, including but not limited to recruiting personnel and hiring managers, are required to abide by this policy. If you need a reasonable accommodation to complete your application, please email Human Resources at HR-Recruiting-Americas@Blackstone.com . Depending on the position, you may be required to obtain certain securities licenses if you are in a client facing role and/or if you are engaged in the following: Attending client meetings where you are discussing Blackstone products and/or and client questions; Marketing Blackstone funds to new or existing clients; Supervising or training securities licensed employees; Structuring or creating Blackstone funds/products; and Advising on marketing plans prepared by a sales team or developing and/or contributing information for marketing materials. Note: The above list is not the exhaustive list of activities requiring securities licenses and there may be roles that require review on a case-by-case basis. Please speak with your Blackstone Recruiting contact with any questions. To submit your application please complete the form below. Fields marked with a red asterisk * must be completed to be considered for employment (although some can be answered "prefer not to say"). Failure to provide this information may compromise the follow-up of your application. When you have finished click Submit at the bottom of this form.