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ClearBridge Investments is a leading global equity manager with over $180 billion in assets under management. The firm is committed to delivering long-term results through active management. We have followed this approach for more than 60 years and continue to offer investment solutions that emphasize differentiated stock selection to move our clients forward. Our investment decisions are supported by a robust research platform that conducts in-depth fundamental analysis of individual securities. We integrate environmental, social and governance (ESG) considerations into our fundamental research process in all our investment strategies. Owned by Franklin Templeton, ClearBridge operates with investment independence from headquarters in New York and offices in Baltimore, Calgary, Fort Lauderdale, London, San Mateo and Sydney. ClearBridge Investments has been named by Pensions & Investments Magazine (P&I) as one of the Best Places to Work in Money Management for the thirteenth year in a row. These awards reflect the Firm's diverse and inclusive culture , spirit of collaboration, work/life balance and our ongoing investment in our employees. Job Summary: ClearBridge Investments is looking for a Data & Automation Engineer to join their New York-based Applications Development & Support team. This individual will be part of a newly minted Data & Automation group responsible for all data-related initiatives of the company. Key Responsibilities and Duties Include, but not Limited to: Build data platforms, data architectures, data products, and data pipelines, needed to enable data analysts and making data driven decisions. Design, implement and maintain data models, manage datasets pertinent to the investment life cycle, asset-level and financial operations data Participate in the full lifecycle of ETL software development - analysis, design, implementation, documentation, and testing Drive the onboarding and attribution of newly acquired datasets into our data environment; manage all aspects of the loading process Proactively look for opportunities to optimize data loading structures and develop innovative approaches to improve the onboarding and integrity of the data Create and execute unit tests on all solutions and work with QA engineers to ensure integration tests are complete. Ideal Qualifications and Experience: 3+ years of experience as a data & automation engineer with extensive experience in architecting data warehouses, data lakes, and data platforms for consumption by analytics and data science/ML. Extensive experience in building data pipelines (batch ETL, micro batches, and real-time streaming). Strong knowledge of cloud data platforms (either one of AWS, GCP, Snowflake, Azure) Experience of using (not limited to) SQL, Visualization, Reporting & ETL tools (PowerBI, FiveTran, Dbt, Alteryx, SSIS, SSRS). Ideally, experience of working within the Asset Management industry Strong skills in Python, ETL transformations, data modeling, & feature engineering Experience owning data platforms end-to-end (from data generation/ingestion to curates/aggregated layers), designing, estimating, implementing, testing, maintaining, debugging, and supporting high-quality software in production. Experience in building foundational, curated and aggregated data layers enabling self-service business intelligence (easily consumable by non-technical users) Excellent interpersonal, communication, presentation, and organizational skills Strong analytical & troubleshooting skills TOTAL REWARDS Our employees have access to a competitive and valuable set of Total Rewards. Our Total Rewards include: Health, wellness and risk benefits to protect employees and their families Retirement savings, stock purchase and other incentive programs to help employees plan for the future Holiday, paid-time-off and other employee programs that support work-life balance Support for pursuing certifications, external education and degree programs Learning, development and career advancement opportunities Ways to get involved in, and give back to, our communities, including paid time off for volunteering and charitable donation matching The salary range for this position is targeted for $125,000 to $165,000 plus discretionary bonus. Base pay offered may vary depending on job related knowledge, skills, and experience ClearBridge is an Equal Opportunity Employer. We are committed to equal employment opportunity for all applicants and existing employees and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation. If you believe that you need an accommodation or adjustment to search for, or apply for, one of our positions please send an email to accommodations@FranklinTempleton.com . In your email, please include the accommodation or adjustment you are requesting and the job title and job number you are applying for. It may take up to three business days to receive a response to your request. Please note that only requests for accommodations will receive a response.

Mutual of America Financial Group Job Title: VP, Head of Data Management & AI Location: New York, NY or Boca Raton, FL (hybrid) Who We Are: At Mutual of America Financial Group, we help people build the assets they need to achieve greater financial security. Our Company is built upon a solid foundation of integrity, excellence, and social responsibility. We were founded in 1945 to provide small and mid-sized nonprofit organizations with pension and retirement-related services, along with leading customer support. Today, we provide these services also to for-profit companies, as well as to governmental entities, Tribal enterprises, institutional investors, and individuals. We work diligently to understand the needs of our customers so we can help them achieve their financial savings goals. We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future. Role Summary: We are looking for a Head of Data Management & AI to join us to lead a team dedicated to driving value for the business by leveraging data and artificial intelligence to enhance decision-making, performance, and operational efficiency. This leader will own the development and execution of the data and AI strategy, ensuring that all available data is transformed into actionable insights through advanced machine learning models and optimization algorithms. The role encompasses overseeing the creation and evolution of data platforms, supporting business groups in data projects, and building scalable AI solutions that can be used across the organization. The role requires exceptional leadership, communication, and organizational skills, with the ability to balance strategic direction and hands-on execution. You will ensure that data and AI initiatives align with the broader organizational goals and deliver measurable value. Responsibilities: Define data and AI vision, strategy and associated practices. Lead the creation (and assure the ongoing relevance) of the Company’s data and analytics strategy in collaboration with the business. Build partnerships with executive leadership and senior team members to execute on the vision for managing data as a company asset — to exploit data and AI capabilities to maximize the value derived from data assets. Maintain authority and accountability for exploiting the value of enterprise data, and of the AI systems used to augment decision-making. Foster the creation of a data-driven culture and data literacy across the organization. Lead these efforts by developing the small technical team talent and maturing the capability of the organization. Overseeing the collection, storage, management, quality, and protection of data. Implementing data privacy policies and complying with data protection regulations. Manage and support data governance frameworks with continuous improvement to data quality. Effectively communicate the status, value, and importance of data collection to executive members and staff. Oversee data platform execution, lead the implementation and continuous optimization of the organization’s defined data platform, ensuring it efficiently supports AI, machine learning, and analytics capabilities across all departments. AI strategy implementation and scaling, oversee the execution and scaling of the pre-defined AI strategy, ensuring that AI models, algorithms, and processes are deployed effectively across key areas. Manage the development, refinement, and deployment of cutting-edge AI models and pipelines across various applications. Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices. Collaborate with internal stakeholders (e.g. engineers, data scientists, product managers) to integrate AI governance principles into project development and deployment. Data-driven optimization: Lead efforts to apply AI for performance optimization across the business, including leveraging machine learning for real-time simulations, anomaly detection, and data-driven optimization Cross-functional AI integration: Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows. Innovation and continuous improvement: Ensure that the AI and Data teams remain on the cutting edge by exploring emerging technologies thus promoting a culture of innovation to maintain a competitive edge. Collaborate on data projects: Partner with business units to ensure successful execution of critical data projects that have already been scoped. Leadership & team development: Manage and mentor a team of AI and Data specialists, data scientists, and engineers, providing guidance to ensure the team delivers impactful results while fostering a culture of high performance, innovation, and adaptability. Required Qualifications: Proven experience in developing and deploying AI/machine learning models and optimization algorithms across multiple domains. Strong leadership skills, with the ability to build, lead, and mentor teams while navigating a dynamic business landscape. Experience building and scaling data platforms that support AI, data engineering, and analytics projects across an organization. Experience working with Amazon data management products and services. Expertise in defining and implementing data strategy, governance, and data management best practices. Strong knowledge of Qlik business intelligence tool Knowledge of relevant cloud-based solutions, particular experience building data strategies in Amazon Knowledge of business intelligence tools such as Qlik Strong knowledge of AI and data technologies including Python Experience with NLP and model interpretability libraries, bringing explain-ability to complex models. Excellent communication and collaboration skills, with the ability to work cross-functionally and manage relationships with multiple business and technical stakeholders. The ability to present complex data and AI insights in a concise, clear manner, making data understandable and actionable to non-technical stakeholders. Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast-paced environment. Preferred Qualifications: 10 years of leading data teams at an enterprise level 5 years of leading AI teams at an enterprise level Strong knowledge of data warehousing, data lakes and big data technologies Strong knowledge of cloud based (preferably Amazon) data management tools Proficiency in data analysis tools and programming languages like SQL, Python, R. Understanding of data modeling and data architecture principles Proficient with data governance best practices What we offer you: Competitive base salary Annual Bonus Comprehensive Benefits Package (medical, dental, and vision) that starts day one of employment 401(k) Match: 100% Employer Match on up to 6% of employee contributions (Salary and Incentive Comp) Parental Leave: 8 weeks fully paid Paid time off: 28 days plus two floating personal holidays The salary range below describes the minimum to maximum base salary range for this role. The role is also eligible for an annual bonus, whereby total compensation may exceed this range depending on individual and / or company performance. Base Salary Range: $188,800 - $283,100 Visit www.mutualofamerica.com/careers for additional details about life at Mutual of America. You can also follow us on Twitter: @mutualofamerica | Facebook: @mutualofamerica Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of 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, or any other classification prohibited by applicable law.

Description A little about us: The Red Alpha Data Science practice grew out of Red Alpha's reputation in Software and System Engineering with our Department of Defense clients. As sometimes happens, customers who trust our expertise in adjacent areas asked Red Alpha to assist with some of their burgeoning Data Science problems. Culturally, it probably suffices to say that we take our work seriously, but not ourselves. Our leaders have spent time in the trenches and have cursed daylight savings time changes and trailing whitespace as many times as you have. We like to say that we spend 80% of our time cleaning the data...and 20% of our time complaining about cleaning the data. Joking aside, our voices matter, and it is easy to see how our decisions affect the Data Science practice and Red Alpha as a whole. We have a clear vision of where we are headed. Our team takes a pragmatic approach to Data Science, defining it loosely as the intersection of technical expertise, business acumen, and soft skills to solve business problems with data. We spend a lot of time trying to understand the problem before we set about building a solution, and we prefer lower tech useful solutions over shiny algorithms and dust on the shelf. Did we mention we’re pragmatic? We have a diverse set of skills across our team, and whether you are a traditional Data Scientist (whatever that means…), an Applied Research Mathematician, a Database Engineer, a Full Stack Developer, or something else in that neighborhood, if you have a knack for picking apart data to make sense of it, we would enjoy having a conversation with you. A day in the life: Despite the title of this role being “Data Engineer” (which sounds very specific), it is actually a great opportunity to demonstrate the diversity of your skills across the data science spectrum. From procurement, consolidation, and cleansing to modeling and presentation, you will influence and add value in several areas across the data science life cycle in order to answer mission and business questions. Subject areas include but are not limited to the following: Employ a variety of languages and tools (e.g., scripting languages) to integrate systems. Conduct research and leverage large volumes of data from multiple sources to answer mission and business questions. Employ sophisticated analytics, programs, machine learning, and statistical methods to prepare data for use in analytical processes and prescriptive modeling. Explore and examine data for hidden patterns. Automate work through the use of predictive and prescriptive analytics. Develop processes to extract/transform/load (ETL) data between different systems. What you bring to the table: Now on to the fun of formal requirements - we have to apologize in advance for the corporate-speak here, but just hold your breath for a few lines and everything will be okay. We are actively hiring data professionals for roles across a broad range of skill levels and projects. Our goal is to find the best fit for you so please note that if you apply to one of them and we see a fit elsewhere we will let you know. So do not worry about applying initially for every position you might be interested in. All of our data scientists need the following skills: Proficiency with a scripting language such as R or Python Experience with data science techniques and algorithms such as classification, clustering, random forests, deterministic forests (jk), hierarchical modeling, deep learning, Markov Chain Monte Carlo, and others. Note that you do not need to have all of these (we hope you enjoyed our random smattering of techniques…!) but you should be comfortable and capable with several of them and know some others not on this list. A B.S. Degree in Data Science, Mathematics, Computer Science or related field. For entry-level data scientists, 0-3 years of experience on Data Science projects. For mid-level data scientists, 3-6 years of experience on Data Science projects. For senior-level data scientists, at least 6 years of experience on Data Science projects with at least 3 years of experience managing teams. A TS/SCI with Polygraph security clearance. For this particular role, you will also need: Experience in identifying, developing, and deploying new approaches to automate data collection, consolidation, and analysis Proven ability to develop and deploy software and scripts needed to collect business-relevant metrics based on enterprise data These are important skills to have, but not necessarily mandatory: Exceptional interpersonal skills. You know, as in you might not be at the top of the list to be a game show host, but you do like people and enjoy solving problems jointly with your colleagues. Experience with Java, C, or other compiled languages Comprehensive knowledge of Saturday Night Live sketches (just kidding) Experience with SQL/NoSQL, Spark, Hadoop Familiarity with Javascript and Scripting Familiarity with Docker, GitLab, and React Familiarity with Agile processes and structures, and able to work on a software development team The total package: Our total compensation package was strategically designed with our members in mind with the intention to: r eward our members for their hard work and commitment to our customers' missions; allow members to share in Red Alpha's success as we continue to grow and expand our footprint; provide long-term career opportunities through stability and internal mobility; and provide the resources our members need to support themselves and their dependents in the form of a robust benefits package. Our total compensation package includes a competitive base salary and benefits such as health, life/ disability, 401k, paid time off, professional development, and generous bonus programs. Please visit our benefits tab for additional information. Salary Range: Disclosed pay ranges are a general guideline, and are not a guarantee of a final salary or compensation. Our approach in determining final salaries takes into consideration a number of factors such as education, certifications, total years of relevant professional experience, actual level of expertise, and the responsibilities of the role itself. Based on the outlined roles, responsibilities, and requirements, the projected pay range for these positions are: Entry-level: $95,000 - $135,000 Mid-level: $110,000 - $155,000 Senior-level: $135,000 - $235,000 Some of our additional perks and benefits include: Retire sooner than planned: Get closer to retirement with up to 10% in 401k contributions, immediately vested. Have a career AND a life: Enjoy up to 5 weeks of leave (25 days of personal time off) and 11 paid floating holidays. Stay at your best: As a member, we'll pay 100% of your premiums for comprehensive health, dental, and vision insurance. We'll also pay the majority of the premiums for your family. Let's not forge free access to a fully equipped state of the art gym! Keep current on new technologies and technological advancements : $5250 per year towards ongoing education, trainings, certifications, and maintaining professional memberships. Dress in style: Spend up to $300 per year on company branded merchandise featuring top quality brands such as Under Armour, Nike, Carhartt, YETI, etc. Enjoy the culture: Attend fun company events throughout the year such as our Oktoberfest, summer picnic, and annual holiday party! These are all in additon to your team events which may include happy hours, baseball games, snowboarding, RenFest, and more! Every day, our elite customers are pushing through "the grind" to defeat the enemy, even putting their lives on the line for our freedom. Rise to the occasion with us to deliver engineering excellence, to match their dedication to this nation. Join us as we bring digital transformation to the fight!

ESSENTIAL FUNCTIONS: Provides direct patient addiction treatment and care according to professional guidelines and best practices. Maintains collaborative agreements with the psychiatric nurse practitioners. Participates in the development of clinical systems that assures the provision of care for all clients in accordance with federal, state and local regulations. Participates in developing plans of care for clients in collaboration with the multidisciplinary treatment team. Maintains liaison with other departments/disciplines relating to the provision of psychiatric care. REQUIREMENTS: Physician licensed and currently registered as such by the New York State Education Department Hold a Federal DATA 2000 waiver (buprenorphine-certified), within six months of employment The medical director should hold either: a subspecialty board certification in addiction psychiatry from the American Board of Medical Specialties; or an addiction certification from the American Society of Addiction Medicine; or a certification by the American Board of Addiction Medicine (ABAM); or a subspecialty board certification in Addiction Medicine from the American Osteopathic Association?

Job Title: Data Administrator FLSA Status: Non-exempt Creation Date/Revision Date: 08/26/2024 Job Summary: The Data Administrator works within the Payroll & Billing Department to maintain union contract data, as well as payroll and billing data. This position is responsible for processing employment verifications, garnishments, tax levies, etc. The Data Administrator ensures that payroll data is current and accurate across Wright Service Corporation’s family of companies. Essential Job Duties: Maintain knowledge of union and utility contracts that relate to payroll and billing to ensure compliance Work closely with the Contracts Department to maintain the payroll and billing rates within systems Review and correct the labor cost and sales journals Union administration, including union general ledger account reconciliation Administer the ADP Pay Card program Administer and answer employee questions related to iPAY Process verifications of employments Complete payroll processing duties as assigned Issue expense advances as needed Maintain and process child supports, garnishments, and tax levies Calculate and submit certified payrolls as required by states Process the State New Hire Reporting Update employee changes in systems (i.e., eCMS) for the LMS program Assist with audits or legal inquiries as needed Provide support and backup to the Payroll and Billing Team Maintain the confidentiality of sensitive information Support, actively participate and act in accordance with Wright’s culture of safety and employee ownership Comply with applicable federal, state and local laws, rules and regulations; maintain knowledge of and follow all company policies and procedures Maintain regular and punctual attendance at work and meetings Handle multiple assignments and special projects and other duties as assigned Knowledge, Skills & Ability Requirements: Must maintain a working knowledge of the company’s policies and procedures Excellent analytical and problem-solving skills Exhibit exceptional customer service skills, discretion, and tact when dealing with personnel inside and outside the organization Working knowledge of Microsoft Office products is required Excellent communication skills, both written and verbal Strong attention to detail and ability to manage multiple projects concurrently while maintaining company standards Comfortable and adaptable to various software applications Motivated and able to work in a team environment Possess a proactive work style along with the ability to take ownership of job duties and responsibilities Willing to participate in company-supported training as needed Ability to read, write and speak English sufficient to perform job duties and to interact and communicate with employees and vendors Education, Certification & Experience Requirements: 5+ years of overall combined payroll, billing and financial concepts knowledge and experience Must have experience with maintaining confidentiality and working in a deadline-driven environment Language Requirements (read, write, speak): English - ☒ Read, ☒ Write, ☒ Speak Spanish - ☐ Read, ☐ Write, ☐ Speak Other Language _________________ - ☐ Read, ☐ Write, ☐ Speak Travel Requirements: ☒No-Seldom ☐Yes-Occasional (up to 5%) ☐Yes-Moderate (5% to 25%) ☐Yes-Substantial (25% to 50%) ☐Yes-Extensive (greater than 50%) Physical Characteristics: This position may require physical demands and activities including: Occasionally lift/carry less than 10 lbs. Occasionally reach upward and downward Frequently sit, talk, use a keyboard, have near acuity Occasionally stand, walk, have far acuity Sedentary work Environmental Factors: This position may be exposed to the following factors: Moderate noise intensity level The functions of this position are conducted in a temperature-controlled environment Benefit Summary: Full-Time employees within Wright Service Corp are eligible for the following: Medical (HDHP & PPO), Dental, and Vision 401k and 401k match ESOP (Employee Ownership Program) Paid Time Off (Vacation, Sick, Floating Holidays) Paid Parental & Family Care Leave Company Paid STD, LTD, and Life Insurance Paid Volunteer Time And More... Learn more at www.thewrightbenefits.com Wright Service Corp. 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. https://wrightservicecorp.com/privacy-policy

Housing for Health (HFH) is a program office within Community Programs, a division under the Los Angeles County Department of Health Services (DHS) for the County of Los Angeles. HFH was created to support people experiencing homelessness with complex clinical needs. We support people in obtaining housing, improving their health and thriving in their communities. HFH is a core component of Los Angeles County’s effort to respond to the homeless emergency. Where appropriate to the job function, a hybrid work schedule may be available, with employees working both remotely and from the office, as needed. The Privacy Engineer leads governance and access control within the Community Programs Data Engineering team. This role ensures data used by programs such as Housing for Health and other Community Programs initiatives is protected, responsibly shared, and governed in line with legal, ethical, and operational standards. The position supports implementation of access controls, classification, and de-identification strategies that enable high-impact analytics while safeguarding confidentiality. The Privacy Engineer plays a critical role in balancing compliance with innovation—designing solutions that unlock valuable data while minimizing risk. The role involves collaboration with legal, compliance, and engineering teams and supports one of the nation’s most ambitious homelessness data systems. $8,840.90 - $11,912.82 Monthly ESSENTIAL FUNCTIONS Implement and maintain RBAC and access control across datasets using Unity Catalog, Terraform, and Azure. Develop and maintain data catalog. Work closely with analytics and lead engineers during the design of semantic data models to proactively embed privacy controls, access restrictions, and risk mitigation strategies into data architecture. Identify and address potential data privacy vulnerabilities in new workflows, including conducting targeted assessments to prevent data leaks or breaches and implementing strategies to minimize unnecessary data exposure. Support integration of Master Data Management (MDM) systems to link individual records across datasets and ensure consistency of person-level identifiers. Develop and maintain identity resolution logic to match records across systems while preserving privacy and ensuring compliance with access policies. Collaborate with analytics and lead engineers to ensure identity-linked data is properly classified, masked, and handled throughout its lifecycle. Lead design of de-identification, masking, and minimization workflows to prepare datasets for countywide or public use. Advise engineering teams on embedding privacy controls during model and pipeline design. Identify CJIS and other sensitive data classifications and ensure they are properly isolated, redacted, or routed through compliant compute environments when required. Evaluate workflows for vulnerabilities and develop mitigation strategies. Guide the use of compute environments set up to be compliant with various requirements and coordinate with infrastructure teams. Develop documentation, sharing agreements, and metadata and enforce lifecycle and retention standards to support audit readiness and regulatory compliance. Collaborate with legal and program staff to ensure policies and controls are clearly implemented. JOB QUALIFICATIONS Option I: Two (2) years of experience applying advanced statistical analyses, including predictive analytics or data engineering, to produce actionable recommendations to support data-driven program, policy, and operational decision-making, at a level equivalent to the Los Angeles County class of Predictive Data Analyst. Experience at the level of Predictive Data Analyst is defined as using machine learning techniques or data engineering practices to analyze or support analysis of complex data sets and find statistically significant, meaningful predictive patterns, relevant to program goals, that human intelligence could not identify on its own. Option II: A Bachelor’s degree from an accredited college in a field of applied research such as Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Computer Science, or Public Health that included 12 semester or 18 quarter units of coursework in data science, data engineering, predictive analytics, quantitative research methods, or statistical analysis -AND- Four (4) years of experience applying data engineering, machine learning, predictive analytics, and data management, to conduct or support hypothesis-driven data analysis to produce actionable recommendations to support data-driven program, policy, and operational decision-making. A Master’s or Doctoral degree from an accredited college or university in a field of applied research such Data Science, Machine Learning, Mathematics, Statistics, Business Analytics, Psychology, Public Health, or similar related fields may substitute for up to two (2) years of experience. Certificates/Licenses/Clearances A valid California Class C Driver License or the ability to utilize an alternative method of transportation when needed to carry out job-related essential functions. Successful clearing through the Live Scan and the Health Clearance process with the County of Los Angeles. Other Skills, Knowledge, and Abilities 4+ years of experience implementing access control and data governance in cloud-based environments. Proficient with SQL, Unity Catalog, Terraform, and GitHub. Experience with GitHub, Azure DevOps, and CI/CD workflows for policy automation. Deep familiarity with HIPAA, 42 CFR Part 2, CMS, and California-specific privacy rules. Experience with Master Data Management (MDM) tools and methodologies to ensure accurate identity resolution across systems. Understanding of the privacy implications of linking person-level data and ability to design controls that support compliance while enabling analytical value. Familiarity with data classification frameworks and lineage tools that support visibility into where sensitive data resides and how it flows across environments. Skilled in translating legal requirements into technical enforcement strategies. Detail-oriented and experienced with metadata management, audit logging, and documentation. Strong cross-functional collaborator with legal, compliance, and engineering teams. Familiarity with Jira and GitHub for governance workflow tracking, Confluence for documentation. PHYSICAL DEMANDS Stand: Frequently Walk: Frequently Sit: Frequently Reach Outward: Occasionally Reach Above Shoulder: Occasionally Climb, Crawl, Kneel, Bend: Occasionally Lift / Carry: Occasionally - Up to 15 lbs. Push/Pull: Occasionally - Up to 15 lbs. See: Constantly Taste/ Smell: Not Applicable Key: Not Applicable = Not required for essential functions Occasionally = (0 - 2 hrs./day) Frequently = (2 - 5 hrs./day) Constantly = (5+ hrs./day) WORK ENVIRONMENT General Office Setting, Indoors Temperature Controlled EEOC STATEMENT It is the policy of Heluna Health to provide equal employment opportunities to all employees and applicants, without regard to age (40 and over), national origin or ancestry, race, color, religion, sex, gender, sexual orientation, pregnancy or perceived pregnancy, reproductive health decision making, physical or mental disability, medical condition (including cancer or a record or history of cancer), AIDS or HIV, genetic information or characteristics, veteran status or military service.

In a world of possibilities, pursue one with endless opportunities. Imagine Next! When it comes to what you want in your career, if you can imagine it, you can do it at Parsons. Imagine a career working with exceptional people sharing a common quest. Imagine a workplace where you can be yourself. Where you can thrive. Where you can find your next, right now. We’ve got what you’re looking for. Job Description: Parsons is looking for an amazingly talented Senior level Data Center Electrical Engineer to join our team! In this role you will get to act as front line when it comes to hands-on electrical equipment troubleshooting. This opportunity will maintain, operate, and troubleshoot mission-critical data center facility equipment including electrical support equipment such as stand-by diesel generators and related fuel systems, 3 phase electrical systems that include but not limited to switchgear, UPS units, Power Distribution Units (PDUs), and wet cell batteries and associated systems. Additional support equipment is included in the scope of the role which includes fire suppression systems, building automation systems, and general facilities equipment. What You'll Be Doing: Design and develop electrical systems for data centers, including power distribution, backup power, and grounding systems. Perform load calculations, fault analysis, and power quality assessments to ensure optimal performance and reliability. Collaborate with cross-functional teams, including mechanical engineers, IT professionals, and facility managers, to integrate electrical systems with other data center components. Develop and maintain detailed documentation, including schematics, wiring diagrams, and technical specifications. Ensure compliance with industry standards, codes, and regulations, such as NEC, IEEE, and local building codes. Lead incident response efforts to resolve facility-related issues, including power outages, cooling failures, and environmental alarms. Implement corrective actions swiftly to minimize downtime. Provide on-call support during off hours for the assigned data centers. This will include responding to any issues within the data centers and managing the investigation, mitigation, and recovery of the issue. What Required Skills You'll Bring: Active TS/SCI POLY Must have at least a bachelor's degree in Electrical Engineering, or a related field. 10 years of experience working in data centers with an emphasis on operation and maintenance in data center infrastructure, including HVAC, electrical systems, backup generators, and fire suppression systems. Strong knowledge of the electrical systems involved in critical data center operations such as: feeders, transformers, generators, switchgear, UPS systems, Automatic Transfer Switch (ATS) units, Power Distribution Units (PDUs)。 Proficiency in electrical design software and tools, such as AutoCAD, ETAP, or similar. Excellent problem-solving skills and attention to detail. Strong communication and interpersonal skills, with the ability to work effectively in a team environment. Security Clearance Requirement: An active Top Secret SCI w/Polygraph security clearance is required for this position.​ This position is part of our Federal Solutions team. The Federal Solutions segment delivers resources to our US government customers that ensure the success of missions around the globe. Our intelligent employees drive the state of the art as they provide services and solutions in the areas of defense, security, intelligence, infrastructure, and environmental. We promote a culture of excellence and close-knit teams that take pride in delivering, protecting, and sustaining our nation's most critical assets, from Earth to cyberspace. Throughout the company, our people are anticipating what’s next to deliver the solutions our customers need now. Salary Range: $155,600.00 - $280,100.00 We value our employees and want our employees to take care of their overall wellbeing, which is why we offer best-in-class benefits such as medical, dental, vision, paid time off, 401(k), life insurance, flexible work schedules, and holidays to fit your busy lifestyle! Parsons is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, veteran status or any other protected status. We truly invest and care about our employee’s wellbeing and provide endless growth opportunities as the sky is the limit, so aim for the stars! Imagine next and join the Parsons quest—APPLY TODAY! Parsons is aware of fraudulent recruitment practices. To learn more about recruitment fraud and how to report it, please refer to https://www.parsons.com/fraudulent-recruitment/ .

You have a clear vision of where your career can go. And we have the leadership to help you get there. At CNA, we strive to create a culture in which people know they matter and are part of something important, ensuring the abilities of all employees are used to their fullest potential. Consider joining a newly created team at CNA Insurance designed to leverage analytics synthesized from across the organization to ensure our underwriting strategies are producing optimal profitability. Successful candidates will be individuals who thrive in a dynamic entrepreneurial environment as they help build and establish this new function and team. In this portfolio management data analytics role, you will leverage your analytical skills, technical skills and strong customer focus to drive significant business impact across a variety of dynamic commercial insurance products. You will lead smaller scale projects to implement automated scorecards and individual account scenario analysis tools to help underwriters plan and execute CNA’s global underwriting strategies as part of a cohesive execution process and platform. You will translate underwriting strategy to relevant leading indicators and operational key results, and design and develop analytics solutions that drive successful execution of the strategy. This team creatively leverages all of CNA’s available data and information, covering diverse functional areas such as exposure or policy attributes, distribution, risk control, operations, and claim data as needed. You will also perform non-actuarial data analysis on a variety of data sources to provide insights that inform decision making across the underwriting value chain. This position provides the opportunity to work directly with senior underwriting leadership. You will also collaborate cross-functionally with underwriting and operational leaders to both understand the nuances of their business and to implement the analytical work product directly into core processes across the organization. JOB DESCRIPTION: Essential Duties & Responsibilities Performs a combination of duties in accordance with departmental guidelines: Creates automated data-driven scorecards that scale up and down through the organization across various areas of responsibility. Ensures scorecards are directly leveraged in CNA’s core processes. Implement scenario analysis tools that help underwriters effectively execute strategies. Uses technical expertise to provide business insights and recommendations to support business improvements. Reports findings to Senior Management. Translates qualitative strategic initiatives to quantitative data-driven work products Identifies, extracts, aggregates, and interprets data relevant to analyses. Develops insightful and actionable analytics solutions; monitors trends over time and provides actionable insights to drive improved business outcomes. Makes recommendations based on an understanding of business strategy and context, technical experience, judgment, and precedents. Operates in an agile product mindset with a focus on iterative delivery toward key business outcomes Acts as a technical resource and provides feedback on cloud-based tech solutions in support of analytics and reporting objectives. Works independently, receiving minimal guidance; acts as a resource for colleagues with less experience by providing instruction, guidance, and advice. May actively partner with other analytical teams across the organization and/or participate in special projects. Responds to and fulfills ad-hoc data related requests. May perform additional duties as assigned. Reporting Relationship Typically Director or above. Skills, Knowledge & Abilities Solid knowledge of core functions of a commercial insurance company Solid technical knowledge of financial, economical and statistical practices, procedures and principles, which may include a specialty area of the business. Solid interpersonal, communication and presentation skills. Effectively interacts with all levels of CNA’s internal and external business partners. Solid analytical, critical thinking and problem solving skills to effectively resolve complex situations and issues. Solid project management, organization and planning skills with the ability to manage multiple projects effectively and lead teams. Ability to solve issues with a sense of urgency; utilizes and manages the available resources to make informed decisions and achieve superior results. Ability to creatively and effectively manage through ambiguous and challenging problems, leads through change and takes appropriate level of risk. Knowledge of technical data analysis techniques and tools Education & Experience Bachelor's Degree in Business, Economics, Mathematics, Finance, Statistics, or related field. Typically a minimum of seven years of related work experience including experience within the insurance industry. Extensive experience and advanced skills with Microsoft PowerBI and SQL. In Illinois/New York/California, the average base pay range for this role is $97,000 to $137,500. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. I n certain jurisdictions, CNA is legally required to include a reasonable estimate of the compensation for this role. In District of Columbia , California, Colorado, Connecticut, Illinois , Maryland , Massachusetts , New York and Washington, the national base pay range for this job level is $72,000 to $141,000 annually. Salary determinations are based on various factors, including but not limited to, relevant work experience, skills, certifications and location. CNA offers a comprehensive and competitive benefits package to help our employees – and their family members – achieve their physical, financial, emotional and social wellbeing goals. For a detailed look at CNA’s benefits, please visit cnabenefits.com . CNA is committed to providing reasonable accommodations to qualified individuals with disabilities in the recruitment process. To request an accommodation, please contact leaveadministration@cna.com .

Data Scientist, Senior The Opportunity: As a data scientist, you’re excited at the prospect of unlocking the secrets held by a data set, and you’re fascinated by the possibilities presented by IoT, machine learning, and artifi cia l intelligence. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a data scientist at Booz Allen, you can help turn these complex data sets into useful information to solve global challenges. Across private and public sectors—from fraud detection to cancer research to national intelligence—we need you to help find the answers in the data. On our team, you’ll use your leadership skills and data science expertise to create real-world impact. You’ll work closely with clients to understand their questions and needs, and then dig into their data-rich environments to find the pieces of their information puzzle. You’ll guide teammates and lead the development of algorithms and systems. You’ll use the right combination of tools and frameworks to turn sets of disparate data points into objective answers to advise your clients as they make informed decisions. Ultimately, you’ll provide a deep understanding of the data, what it all means, and how it can be used. Work with us as we use data science for good. Join us. The world can’t wait. You Have: 5+ years of experience in applied data science or ML roles, including using Python and NLP and LLM implementation 5+ years of experience with data exploration, data cleaning, data analysis, data visualization, or data mining Experience with production-level systems, data lake environments, and streaming data, including Kafka Experience implementing end-to-end ML workflows from data prep to deployment and evaluation Ability to quickly learn infrastructure or systems concepts, including how pipelines interface with data lakes Ability to design, implement, and iterate on ML models for document classification, extraction, summarization, and search Ability to take ownership of data science workflows that interact with a production system streaming millions of documents per week TS / SCI clearance Bachelor's degree Nice If You Have: Experience collaborating with MLOps and infrastructure engineers to ensure robust model deployment, monitoring, and retraining pipelines Experience supporting platform components such as documents indexing or search, GPU workloads, and distributed storage, including Cloudera Experience in the development of algorithms leveraging R, Python, SQL, or NoSQL Experience with Distributed data or computing tools, including MapReduce, Hadoop, Hive, EMR, Spark, Gurobi, or MySQL Experience with visualization packages, including Plotly, Seaborn, or ggplot2 Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information ; TS/SCI 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 $99,000.00 to $225,000.00 (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.

Liquid AI, an MIT spin-off, is a foundation model company headquartered in Boston, Massachusetts. Our mission is to build capable and efficient general-purpose AI systems at every scale. Our goal at Liquid is to build the most capable AI systems to solve problems at every scale, such that users can build, access, and control their AI solutions. This is to ensure that AI will get meaningfully, reliably and efficiently integrated at all enterprises. Long term, Liquid will create and deploy frontier-AI-powered solutions that are available to everyone. We are seeking a highly skilled Member of Technical Staff, Foundation Model Data to play a critical role in our foundation model development process. This role focuses on consolidating, gathering, and generating high-quality text data for pretraining, midtraining, SFT, and preference optimization. Key Responsibilities Create and maintain data cleaning, filtering, selection pipeline than can handle >100TB of data. Watch out for the release of public dataset on huggingface and other platforms. Create crawlers to gather datasets from the web where public data is lacking. Write and maintain synthetic data generation pipelines. Run ablations to assess new dataset and judging pipelines. Required Qualifications Experience Level: B.S. + 5 years experience or M.S. + 3 years experience or Ph.D. + 1 year of experience. Dataset Engineering : Expertise in data curation, cleaning, augmentation, and synthetic data generation techniques. Machine Learning Expertise: Ability to write and debug models in popular ML frameworks, and experience working with LLMs. Software Development : Strong programming skills in Python, with an emphasis on writing clean, maintainable, and scalable code. Preferred Qualifications M.S. or Ph.D. in Computer Science, Electrical Engineering, Math, or a related field. Experience fine-tuning or customizing LLMs. First-author publications in top ML conferences (e.g. NeurIPS, ICML, ICLR). Contributions to popular open-source projects.

Associate C-17 Support Engineering Data Specialist Company: The Boeing Company The Boeing Global Services organization is seeking an Associate Support Engineering Data Specialist for an exciting opportunity with the C-17 Fleet Reliability & Analysis Team in Warner Robins, GA . Position Responsibilities: The ideal candidate will conduct Repair Level analysis (RLA) / Conduct Lifecycle Support Cost Analysis (LSCA) in support of our C-17 internal and external Air Force customers. Typical tasks include but not limited to the following: Review/evaluate each Source, Maintenance, and Recoverability (SMR) Code Change Request, to determine if the item listed in the change request is to be considered as an RLA / LSCA candidate. Perform RLA / LSCA on all candidate items in support of the SMR Code Change Request to determine the best maintenance support scenarios for the item(s) under analysis. Collect, review and maintain applicable data to support an RLA / LSCA, interface with functional areas, and compile status report for each candidate. Perform development, analysis, collection, storing, and reviewing of system support technical data elements and specification and makes recommendations Generate load sheets and input data into the Air Force furnished Network Repair Level Analysis (NRLA) model. Develop RLA / LSCA output report, perform sensitivity analysis, and analyze results. Submit RLA / LSCA report to the Support Specialist and review results. Provide support to the SMR Code Review Board meetings with the Boeing IPTs and the Air Force. Review RLA Supplier Data Request Lists (SDRL) and provide comments/feedback Basic Qualifications (Required Skills/Experience): Bachelor, Master or Doctorate of Science degree from an accredited course of study, in Computer Engineering, Software Engineering, Computer Science, Industrial Engineering, Systems Engineering, Mathematics, Physics or other technical degree 3+ years of experience in level of repair analysis 3+ years of experience with aircraft maintenance Experience with Network Repair Level Analysis Experience working with MS Access, SQL, Python, R, Data modeling, or Tableau. Experience with Failure Mode Effects and Criticality analysis (FMECA) and root cause analysis Proficiency in Microsoft Office (Excel, PowerPoint) Preferred Qualifications (Desired Skills/Experience): Experience developing and implementing macros using VBA to automate tasks Experience with Level of Repair Analysis (LORA) Experience with C-17 Experience with FMXC2/G081 Experience with various cost estimation methodologies, including parametric, analogy, and bottom-up estimating 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. Pay & Benefits: 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. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary Pay Range: $64,600- $87,400 Language Requirements: Not Applicable Education: Bachelor's Degree or Equivalent Relocation: This position offers relocation based on candidate eligibility. Export Control Requirement: This position must meet export control compliance requirements. To meet export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.15 is required. “U.S. Person” includes U.S. Citizen, lawful permanent resident, refugee, or asylee. 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. An interim and/or final U.S. Secret Clearance Post-Start is required. 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)

Are you ready? As an Outside Sales Representative, you will develop new prospects and maintain contacts with established customers for the purpose of selling Company products, and customarily and regularly interact with prospects and customers in person at the customer's site of business or other off-site locations. In this role you will: Responsible for meeting or exceeding assigned annual gross margin budget by promoting and selling products in assigned territory in compliance with the Company's pricing policies Handle customer complaints promptly and effectively, and report potential claims. Keep management informed of local competition and market conditions Carry out sales and merchandise programs as directed, and recommend new items for stock Maintain current customer records, files, and reports of business transactions; assist in collection of past due accounts Participate in training sessions, trade shows, and sales meetings as requested. Demonstrate products after sale when necessary What you bring to the table: Minimum 5 years experience required; 6+ years preferred 4 year degree preferred Knowledge of business administration, sales, and marketing Negotiation skills Ability to learn our business and to work independently to achieve goals Ability to sell and be persuasive Extensive travel required, including some overnight travel Pay Details: The expected salary for this position is starting at $60,000 annually depending on experience. This position is also bonus eligible based on specific and relevant business metrics. The Value of Graybar: At Graybar, we are known for our comprehensive benefits and our employee stock ownership plan! Most regular, full-time employees at Graybar may be eligible for a variety of benefits like: Multiple plan options for Medical, Dental, Vision, and Prescription Drug benefits. Life Insurance coverage for you and options for your family. Save on expenses with Flexible Spending Accounts . Enjoy our Disability Benefits at no cost to you. Share in our success with P rofit Sharing Plans . 401(k) Savings Plan with company match to help secure your future. Paid Vacation & Sick Days to spend time away from work or in case of an illness. Rest and recharge during our Paid Holidays throughout the year. Take advantage of our Paid Wellness Day to focus on preventive care and prioritize your health. Volunteer with Community Time Off to give back to the community. Predictable Work Schedules to plan your life: no weekends or nights for most roles. Celebrate your and others' achievements with our Employee Recognition Program . Reach your career goals with our Educational Reimbursement and Career Development Programs . And More Perks that support your well-being and career growth. Benefit eligibility may vary across locations and roles, so be sure to check in with your recruiter for more information. Why should you join Graybar? At Graybar, our employees are the heart and soul of our company. We believe that employees with diverse perspectives bring the ideas and innovative thinking we need to solve our biggest challenges and compete in an ever-changing world. Consistent with our values, we welcome people from all backgrounds, cultures and experiences into our company because we believe it’s the right thing to do and the right way to run our business. We want each of our employees to know that they matter and to feel a sense of belonging, ownership and inclusion at Graybar. We believe that everyone should be treated with dignity and respect, and we work to build a collaborative environment where our employees have the opportunity to grow, learn and make a difference, both as individuals and as part of the team. That’s what our employee ownership culture is all about: working as one team and moving forward together, while honoring the unique value each person brings to our company. Apply now and find out what’s next for you. Equal Opportunity Employer/Vet/Disabled Not the right fit? Let us know you're interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing big data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data engineer like you to help our clients find answers in their big data to impact important missions—from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you’ll implement data engineering activities on some of the most mission-driven projects in the industry. You’ll deploy and develop pipelines and platforms that organize and make disparate data meaningful. Here, you’ll work with and guide a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, Agile environment. You’ll use your experience in analytical exploration and data examination while you manage the assessment, design, building, and maintenance of scalable platforms for your clients. Join us. The world can’t wait. You Have: 8+ years of experience with Python, SQL, or Scala 8+ years of experience building scalable ETL and ELT workflows with Amazon Web Services or Microsoft Azure 8+ years of experience with designing, developing, operationalizing, and maintaining complex data applications at enterprise scale Experience with working in a demanding, collaborative, and cross-functional team environment Secret clearance Bachelor's degree Nice If You Have: Experience working at a Combatant Command Experience with working on real-time data and streaming applications Ability to develop scripts and programs for converting various types of IoT and sensor data into usable formats 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 $77,500.00 to $176,000.00 (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.

Company Description Etsy is the global marketplace for unique and creative goods. We build, power, and evolve the tools and technologies that connect millions of entrepreneurs with millions of buyers around the world. As an Etsy Inc. employee , whether a team member of Etsy, Reverb, or Depop, you will tackle unique, meaningful, and large-scale problems alongside passionate coworkers, all the while making a rewarding impact and Keeping Commerce Human. Salary Range: $226,000.00 - $294,000.00 What’s the role? As the Engineering Manager you will be responsible for building and scaling our ML Training data team at Etsy. We are working on cutting-edge foundational tools at Etsy that accelerate model prototyping and development by generating datasets for model training with point-in-time accuracy, ensuring minimal training-serving skew. It's an integral part of our ML Enablement efforts, enhancing the efficiency and accuracy of our data-driven solutions, that will support various high visibility Machine Learning teams at Etsy including Search Ranking, Personalized Recommendations, etc. Do you find joy in sophisticated architectures that involve leading highly performant teams specializing in distributed systems, machine learning and multiple collaborators? If so, this could be the perfect match. This is a full-time position reporting to the Senior Engineering Manager, ML Enablement. In addition to salary, you will also be eligible for an equity package, an annual performance bonus, and our competitive benefits that support you and your family as part of your total rewards package at Etsy. For this role, we are considering candidates based in the United States. Candidates living within commutable distance of Etsy’s Brooklyn Office Hub or in the San Francisco Bay Area may be the first to be considered. For candidates within commutable distance, Etsy requires in-office attendance once or twice per week depending on your proximity to the office. Etsy offers different work modes to meet the variety of needs and preferences of our team. Learn more details about our work modes and workplace safety policies here . What’s this team like at Etsy? The Training data team is part of the ML Enablement organization. Our mission is to enable efficient and impactful machine learning across Etsy as a platform. The broader ML Enablement team maintains systems that enable feature creation, storage, retrieval, as well as embeddings workflows that power personalized search, recommendations, and more. Our work drives innovation and enhances the experience for millions of Etsy buyers and sellers. As a platform team with a customer focussed perspective, we tackle meaningful, complex challenges and build scalable solutions, enabling impactful contributions. What does the day-to-day look like? Manage and grow a team of outstanding machine learning engineers, software engineers, and tech leaders to design, build, and support Etsy’s Training data systems. Collaborate with other leaders at Etsy to drive the technical and strategic vision for advancing ML technology with a focus on ML infrastructure tools for generating training datasets for model training with point-in-time accuracy. Define the roadmap and supervise its execution. You will connect and coordinate business initiatives and team priorities. Provide technical guidance to the team to build an infrastructure that helps scientists to build state of the art ML models. Cultivate a strong engineering culture, responsible for delivering business results with the right quality and in a timely fashion Of course, this is just a sample of the kinds of work this role will require! You should assume that your role will encompass other tasks, too, and that your job duties and responsibilities may change from time to time at Etsy's discretion, or otherwise applicable with local law. Qualities that will help you thrive in this role are: Experience leading a team responsible for large-scale ML Infrastructure teams, with 7+ years of Software development experience including 2+ years of engineering management. A strong product sense: you take pride in building well designed products that ML practitioners love. Passion for translating the needs of ML practitioners into infrastructure offerings with an eye toward building large scale data systems to support ML training. Excellent at communicating context, giving and receiving feedback, fostering new ideas, and empowering others without micromanagement. ML practitioner leader or individual contributor experience owning end-to-end ML functions for a product domain. You have a background in Computer Science and related fields, equivalent to a B.S. degree or above in Computer Science, Electrical Engineering, Information Technology, or related engineering fields. You have practical experience in designing and architecting large-scale distributed systems and machine learning infrastructure. You possess strong proficiency in creating and optimizing large-scale Spark & Dataflow pipelines, as well as general data infrastructure technologies. This includes the ability to optimize storage formats and reduce job runtime & costs. You possess a strong understanding of ML foundations and extensive knowledge of the intricacies involved in ML development and training processes. Additional Information What's Next If you're interested in joining the team at Etsy, please share your resume with us and feel free to include a cover letter if you'd like. As we hope you've seen already, Etsy is a place that values individuality and variety. We don't want you to be like everyone else -- we want you to be like you! So tell us what you're all about. Our Promise At Etsy, we believe that a diverse, equitable and inclusive workplace furthers relevance, resilience, and longevity. We encourage people from all backgrounds, ages, abilities, and experiences to apply. Etsy is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status, or any other characteristic protected by applicable law. If, due to a disability, you need an accommodation during any part of the application or interview process, please let your recruiter know. While Etsy supports visa sponsorship, sponsorship opportunities may be limited to certain roles and skills.

Ankura is a team of excellence founded on innovation and growth. Practice Overview: Bright Labs, proudly a part of Ankura, is at the forefront of the eDiscovery industry, having contributed to some of the most significant and globally recognized eDiscovery investigations and litigations. Our eDiscovery team is renowned for its deep expertise and innovative approach, leveraging data, technology, and analytical thought to address complex client issues. We pride ourselves on a unique combination of technical skills, subject-matter expertise, and litigation technology experience, enabling us to deliver comprehensive, creative, and insightful solutions that guide our clients through the intricacies of eDiscovery challenges. The role is located in Chicago, New York, or San Francisco. There will be remote opportunity within these three locations. Role Overview: We are seeking an eDiscovery Director to join our dynamic team. This role will s erve as the client's point of contact and Bright Labs' day-to-day leader in the management and execution of projects and workstreams involving the identification, collection, processing, review, and production of electronic data relevant to litigation or regulatory investigations . Responsibilities: Functional Discovery Tasks: Collections/Pre-Processing Assist clients with finding, documenting, and preventing deletion of data potentially relevant to litigation, regulatory matters, or critical business operations Develop solutions and strategies to collect data with special considerations for the unique environment and project-specific complexities of an engagement Coordinate forensic collections with client and Bright Labs' forensics team and quality review collections documentation supplied by the forensics team Create and recommend pre-processing strategy to client Coordinate forensic pre-processing work (deNIST , file filters, etc.) with Bright Labs' forensics team, including documenting pre-processing workflow Processing: Advise client on data reduction strategies including deNISTing , file extension filtering, date culling, and search term filtering Coordinate (provide instruction, obtain status reports, etc.) processing work with Bright Labs' processing team Analyze exception reports, develop recommendations for handling each type of exception, and communicate plan to client Quality review search hit reports prior to sending to client Review: Assist clients with the selection of the appropriate technology to meet specific project objectives . Assist with development of efficient work streams, batching strategy, and technology configuration for 1st, 2nd, 3rd tier review; as well as witness review, exhibit designation, and trial preparation. Conduct customized Relativity training sessions for clients, emphasizing appropriate add-on features as necessary. Advise clients regarding the efficient use of concept clustering, near duplicate identification, e-mail threading, and assisted review (predictive coding) within the Relativity tool. Design customized reports for clients. Troubleshoot Relativity issues with kCura and coordinate custom Relativity development work, as necessary. Coordinate data loads to the review tool with the Bright Labs' processing team. Production: Assist with written collateral to support production process, such as motions, orders, or proposals to courts and opposing counsel regarding the form of production. Provide proactive guidance regarding format, strategy, and timelines for production of electronic data. Work with client to develop production identification strategy. Managerial Tasks: Assist in the management of finances of each engagement including developing, documenting, and tracking project budgets, adjusting budgets as appropriate , communicating changes in budgets internally and to the client, and managing the revenue forecasting and invoicing process. Review and discuss expectations, anticipated scope of work, and project timeline with client and Bright Labs' team. Manage project close-out process including data return and database archival, ensuring that clients understand the implications of on-going data retention relative to their company’s policies. Provide clients and Managing Directors and Senior Managing Directors with periodic status updates, reports, etc. throughout the engagement. Generate consistent and thorough documentation to support processes executed throughout the project lifecycle. Specific tasks may include writing up interview notes and drafting emails, memorandum or reports that demonstrate specific processes followed. Mentor, lead, and delegate tasks to junior grade colleagues to support their training and professional development with the goal of creating an exciting leveraged, team environment that offers challenging opportunities and support to all employees and is poised for continued expansion and success. Assist in the recruiting process by screening resumes and interviewing candidates. Supervise personnel including Associates, Senior Associates, client personnel, clerical support, and others as appropriate . Assist the business development team throughout the sales process by building relationships with current and potential future clients, demonstrating firm technology to potential clients, and providing supporting documentation, including proposals and cost estimates, regarding our offerings. Demonstrate business development acumen via networking and other business development activities, showcasing the ability to convert networking relationships to sales leads and ultimately, new revenue. Increase revenue on current engagements by identifying opportunities to cross-sell services offered by Data Analytics and Digital Solutions & Development teams. What We Offer: The opportunity to work on some of the largest and most recognized global eDiscovery cases. A collaborative environment where creativity and insight are valued. Exposure to cutting-edge technology and methodologies in the field of digital forensics and eDiscovery. A supportive team that fosters professional growth and development. Requirements: BA/BS in MIS, Business Analytics, Computer Science, Law, Engineering, Finance, Accounting, Economics, Information Technology, or similar degree. 4 years of prior experience as a consultant overseeing computer forensics and electronic discovery Advanced decision making and problem-solving skills Team player who is comfortable working in a dynamic and fast-paced environment with minimal supervision Ability to interact confidently with senior management and lawyers/partners Excellent verbal and written communication skills For individuals assigned and/or hired to work in California, Colorado, or New York, Ankura is required to include a reasonable estimate of the compensation range for this role. This compensation range is specific to the said markets and considers a broad range of factors including but not limited to skill sets, experience and training, licensure and certifications, and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. The range does not include additional benefits outside of salary. At Ankura, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each role. A reasonable estimate of the current base pay range is between $85,000 to $200,000; this range is not a promise of a particular wage. #LI-Remote #LI-DR1 * Ankura is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against based on disability. Equal Employment Opportunity Posters, if you have a disability and believe you need a reasonable accommodation to search for a job opening, submit an online application, or participate in an interview/assessment, please email accommodations@ankura.com or call toll-free +1.312-583-2122. This email and phone number are created exclusively to assist disabled job seekers whose disability prevents them from being able to apply online. Only messages left for this purpose will be returned. Messages left for other purposes, such as following up on an application or technical issues unrelated to a disability, will not receive a response.

We are Constructiv, a Generac Company, empowering your technology through mission critical infrastructure delivery. Our team has over 20 years of technical project delivery experience. During this period, we have established a standard for building the critical power and cooling infrastructure that supports data centers As we continue to expand, Constructiv is building a pipeline of skilled construction professionals for future opportunities in the United States. While we currently do not have immediate openings, we want to connect with talented individuals in the data center construction industry who are open to exploring roles with us when the time is right. Responsible for supervising on-site construction of a project(s) at one or more locations and serves as the General Contractor’s representative on the jobsite(s) under the direction and in partnership with the CM and the PM. Travel : This is not a remote role and requires regular travel, 80% or more Major Responsibilities: Project Documentation: Establish and comply with the requirements of the Site Startup Checklist as directed by the quality manager for technical services. Review and understand the project’s contract documents, including the drawings and written specifications. Participate in constructability reviews of the documents to understand the design intent. Establish site logistics, including the fulfillment of the “Site Startup Checklist.” Document the field record of the project by recording and distributing “Daily Reports,” “Meeting Minutes,” and other pertinent documentation as directed by the CM/PM while maintaining the organization of these records for immediate review on the project site. Project Site: Supervise the construction effort (in conjunction with the Construction Manager), including craft employees and subcontractors, to ensure the project is constructed per design, budget, and schedule, including interfacing with client representatives, AE representatives, other contractors, government inspectors and others accordingly. Supervise onsite functions (scheduling, sequencing, engineering, material control, safety). Provide weekly 2-week “Look Ahead” scheduling, communicating immediate field tasking. Ensure all onsite personnel comply with project site rules and regulations, Safety program requirements, document all violations, notify project management, and recommend and implement corrective actions as required. Evaluate and comment on subcontractors’ requests for payment. Minimum Job Requirements Education High School diploma Certification / License OSHA 30-Hour Certification Work Experience Previous experience in construction and/or craft supervision experience in construction. Five (5) years of Data Center experience as a site super or project engineer, including experience with the installation of mechanical & electrical system. Knowledge / Skills / Abilities Experienced with Microsoft Office Suite including Outlook, Word, Access, Excel, Microsoft Project and PowerPoint as well as Adobe Reader/Acrobat . In-depth knowledge of applicable building codes and regulations, pertinent governing safety regulations, building trade terminology, and technical aspects of field specialty. Knowledge of all aspects of construction (technology, equipment, methods), craft agreements, jurisdiction, and negotiations. Experience in construction scheduling and cost control. Experience in preparing, maintaining, and managing all on-site project documentation. Organized, analytical self-starter with the ability to problem solve and work independently. Strong interpersonal skills, including verbal and written communications. Ability to manage diverse groups and create and foster a team approach to the project. Education: Bachelor’s degree in construction management. Compensation : Constructiv is committed to fair and equitable compensation practices. The annual salary for this role is $83,700 - $125,000.00. This compensation will ultimately be in line with the location in which the position is filled. Final compensation for this role will be determined by various factors such as a candidate’s relevant work experience, skills, certifications, and geographic location. This role is eligible for variable compensation including short term and long-term incentives. Benefits : This position includes a comprehensive benefit package that includes medical, dental and vision plans; life, long-term disability, flexible spending, and health savings accounts, accrued paid time off, 8 paid Holidays, opportunity for overtime and 401(k) retirement benefits; Physical Demands : While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion the incumbent may be required to stoop, bend or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision and ability to adjust focus. Occasional travel. “We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.”

Data Engineer, Lead The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial intelligence means that there’s more structured and unstructured data available today than ever before. As a data engineer, you know that organizing data can yield pivotal insights when it’s gathered from disparate sources. We need an experienced data professional like you to help our clients find answers in their data to impact important missions—from fraud detection to cancer research to national intelligence. As a data engineer at Booz Allen, you’ll use your expertise to help build advanced technology solutions and lead data engineering activities on some of the most mission-driven projects in the industry. You’ll guide data engineering activities by overseeing the development and deployment of pipelines and platforms that organize and make disparate data meaningful. Here, you’ll mentor a multi-disciplinary team of analysts, data engineers, developers, and data consumers in a fast-paced, agile environment. You’ll use your expertise in analytical exploration and data examination while you oversee the assessment, design, building, and maintenance of scalable platforms for your clients. Work with us to use data for good. Join us. The world can’t wait. You Have: 8+ years of experience with developing code for Extract, Transform, Load (ETL) processes, data analysis, or data modeling 3+ years of experience designing, developing, operationalizing, and maintaining complex data applications 3+ years of experience with Python, JavaScript, and PostgreSQL 2+ years of experience with AI/ML implementation and development Experience in implementing code in an operational environment or for operational usage Experience creating and integrating code related to retrieving, parsing, and processing data across multiple systems or applications Experience developing scripts and programs for converting various types of data into usable formats and supporting project teams to scale, monitor, and operate data platforms in support of specific mission goals. Experience supervising technical staff and leading projects and deliverables within a collaborative, cross-functional team environment while maintaining programmatic standards for cost, schedule, and performance TS/SCI clearance Bachelor’s degree Nice If You Have: Experience with DevOps tools, including GitHub Experience with database administration or data analytics Experience with structured and unstructured data Experience with a public cloud, including AWS, Microsoft Azure, or Google Cloud Experience with PyTorch or TensorFlow Experience with Agile software development TS/SCI clearance with a polygraph Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $99,000.00 to $225,000.00 (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.

Associate Employee Data Governance – Transaction Specialist Company: The Boeing Company The Boeing Employee Data Governance (EDG) team is looking for an Associate Employee Data Governance – Transaction Specialist to join our team in Berkeley, MO; Hazelwood, MO; Auburn, WA; Englewood, CO; Mesa, AZ; Puyallup, WA; Renton, WA; Saint Charles, MO; Seattle, WA; or Tukwila, WA. This position is perfect for the candidate who thrives on problem solving, delivering results, and creating positive user experiences within an ever-changing environment. The ideal candidate will partner directly with customer and functional resources to provide timely and accurate resolutions to requests. Position Responsibilities: Analyzes transactional errors, interfaces with customers and takes appropriate action following established guidelines and procedures. Interprets and explains HR business processes to customer inquiries. Responds to moderately complex global customer inquiries, using service request tool Evaluates HR systems query results for transactional errors, investigates and takes appropriate action. Performs HR data transaction corrections using HR systems following established guidelines and procedures. This position is expected to be 100% onsite. The selected candidate will be required to work onsite at one of the listed location options. Basic Qualifications (Required Skills/Experience): 1+ years of experience with Workday 1+ years of experience with the ServiceNow platform 1+ years of experience providing guidance regarding HR policies, procedures, processes and services Preferred Qualifications (Desired Skills/Experience): Experience with Microsoft Office suite (Outlook and Excel) 1+ years of experience with the Workday HR Management System 1+ years of experience leading and managing projects 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. Shift: This position is for 1st shift. 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. Please note that the information shown below is a general guideline only. Pay is based upon candidate experience and qualifications, as well as market and business considerations. Summary pay range: $70,550 - $95,450 Language Requirements: Not Applicable Education: Not Applicable Relocation: Relocation assistance is not a negotiable benefit for this position. Export Control Requirement: This is not an Export Control position. Safety Sensitive: This is not a Safety Sensitive Position. Security Clearance: This position does not require a Security Clearance. 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)

About CareScout Services: Join us on a mission to simplify and dignify the aging experience. We are the children, siblings, neighbors, and friends of those navigating the fragmented and confusing system of long-term care. Our team is ferociously curious and relentless in our pursuit of a better system – and we are deeply committed to a sense of belonging for all, in all phases of life. We’re creating a new experience for care seekers and their families, bringing together long-term care options, resources, education, and human support into one place. We work hard, we have fun, we care about each other, and we share the mission. If this sounds like a place where you could thrive, join us! CareScout is a division of Genworth Financial, Inc, a Fortune 500 provider of products, services and solutions that help families address the financial challenges of aging. Job Summary: The Director of Data Engineering will lead the development and execution of our data strategy, with a strong focus on building and leveraging a robust data lake on the Azure platform. This role will be instrumental in enabling advanced analytics, driving marketing integrations, and fostering a data-driven culture. The ideal candidate will have deep technical expertise in Data Engineering and a proven track record of delivering impactful data solutions that enhance marketing effectiveness and overall business performance. Responsibilities: Strategic Data Leadership: Develop and implement a comprehensive data strategy aligned with business objectives Identify opportunities to leverage data for competitive advantage, particularly in marketing and customer engagement. Provide thought leadership on data trends, technologies, and best practices.. Develop and implement an enterprise data model & data dictionary to standardize our reporting needs. Data Lake Development and Management: Design, build, and maintain a scalable and secure data lake on Azure. Design and build scalable ETL pipelines, establish data ingestion, transformation, and storage patterns. Architect data warehouse schema (Star, Snowflake, Galaxy) Optimize data lake performance and ensure data quality and integrity. Establish balancing and reconciliation queries to ensure Data warehouse is stable after failures, numbers and records match to expectations to ensure quality, consistency and availability Enabling the business to leverage Artificial Intelligence and Machine Learning: Work with the product managers, and the business stakeholders to identify opportunities to use AI/ML solutions. Stay abreast on trends in AI/ML Ensure data availability and quality Establish data governance for ML – Define & Implement policies and procedures that ensure quality, consistency and security for ML models Manage data pipelines for ML Address data privacy and ethical considerations Collaborate with data scientists and engineers Establish ML model lifecycle management – develop process for model development, deployment, monitoring and maintenance. Enable model operationalization (MLOps)- adopt MLOps practices to manage process Measure and monitor ML model performance: Establish metrics and processes for measuring and monitoring the performance of ML models in production Marketing Data Integration and Activation: Lead the integration of marketing data from various sources (CRM, marketing automation platforms, and other operational systems) into the data lake. Enable the use of data lake data for targeted marketing campaigns, customer segmentation, and personalized experiences. Collaborate with marketing teams to develop and implement data-driven marketing strategies. Oversee the activation of data to marketing platforms, and ensure a smooth flow of information. Data Governance and Compliance: Establish and enforce data governance policies and procedures, ensuring compliance with relevant data privacy regulations. Implement data security measures to protect sensitive data within the Azure environment. Define and manage data access controls and permissions. Data Analytics and Insights: Partner with analytics teams to leverage the data lake for advanced analytics, reporting, and business intelligence. Promote the use of data analytics to drive informed decision-making across the organization. Project Execution Develop project plans and estimates Develop milestones, and identify risks Establish project control and communicate progress, risks and mitigation plans Team Leadership and Collaboration: Build and lead a high-performing data strategy team with expertise in Azure data services. Hire coach and mentor staff and contracting team members Collaborate with cross-functional teams, including product management, marketing, operations, sales, and analytics, to achieve data-related objectives. Manage relationships with vendors. Plan and manage budget Qualifications: Bachelor's degree in computer science, data science, or a related field (Master's degree preferred). Minimum of 10 years of experience in data strategy, data engineering, or a related field, with a focus on Azure data services. Proven experience building and managing data lakes on the Azure platform. Strong expertise in Data Lake technologies such as Databricks or Azure Synapse, or Snowflake. Experience with marketing data integration and activation. Strong understanding of data governance, data security, and compliance principles. Excellent leadership, communication, and interpersonal skills. Strong analytical and problem-solving abilities. Experience in managing globally distributed teams of data engineers as staff and contractors Desired Skills: Experience with Databricks or Snowflake or Azure Syanpse/Fabric Experience in Extract Transform and Load (ETL) tools like Fivetran or others like Azure Data Factory, AWS Glue, Apache airflow Hands-on experience in architecting data warehouse using Star, Snowflake or Galaxy schema Proficiency with at least one cloud platform (Azure, AWS, or GCP) Experience in data security Strong understanding of relational databases (MySQL, Postgress, SQL Server, MongoDB) Advanced SQL skills Experience in data dictionary, data quality and lineage tools Experience in machine learning frameworks: Pytorch, MLFlow, and or Tensorflow Experience with marketing automation platforms (e.g., Iterable, Dynamic 360). Experience with CRM platforms (e.g. Dynamics 365). Experience with API integrations. Experience with data visualization tools like Power BI or Tableau Experience with Data visualizations tools such as Power BI. Understanding of ML concepts and algorithms (supervised learning, unsupervised learning, deep learning) Understanding of ML Ops best practices Understanding of API concepts with experience in integrating data from diverse sources Experience in Metadata Management, and Data Modeling For candidates based in the New York City Metropolitan area, the base salary pay range for this role starts at a minimum rate of $190,000 up to the maximum of $240,000. An employee’s pay position within the base salary pay range will be based on several factors at the time of this job posting including but not limited to geographic location, experience, and qualifications. In addition to your base salary, you will also be eligible to participate in an incentive plan. The incentive plan is based on performance and the target earning opportunity is 20% of your base compensation. The final determination on base pay for this position will be based on multiple factors to ensure pay equity within the organization. WHY CARESCOUT SERVICES? • We have a real impact on the lives of the people we serve • We work on challenging and rewarding projects • We give back to the communities where we live • We offer competitive benefits including: o Medical, Dental, Vision, Flexible Spending Account options beginning your first day o Generous Choice Time Off your first full year o 12 Paid Holidays o 40 hours of volunteer time off o 401k Account with matching contributions o Tuition Reimbursement and Student Loan Repayment o Paid Family Leave o Child Care Subsidy Program