data analyst

data engineer

senior data engineer

software engineer

ai enablement analyst

etl developer

Shields Group Search

<div>
 <p>
  <strong>
   Data Engineer
  </strong>
 </p>
 <p>
  <strong>
   Hybrid in NYC
  </strong>
 </p>
 <p>
  <strong>
   Full-Time
  </strong>
 </p>
 <p>
  <strong>
   $175,000-$225,000 base + upside depending on experience
  </strong>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Company
  </strong>
 </p>
 <p>
  Shields Group Search is partnering with an innovative private banking and wealth infrastructure company building modern tools for modern clients. Their platform is designed to help private investors access liquidity more easily while driving transparency into historically opaque markets, including fine art and commercial real estate.
 </p>
 <p>
  <br/>
 </p>
 <p>
  They are hiring a
  <strong>
   Data Engineer
  </strong>
  to help build a world-class data infrastructure that supports the modernization of private banking for independent wealth managers and family offices. This person will be responsible for designing, building, and maintaining robust data pipelines, ETL processes, and data warehousing solutions that enable analytics and drive insights across the platform.
 </p>
 <p>
  <br/>
 </p>
 <p>
  You will work closely with engineering and product teams to architect scalable, reliable data systems. The stack includes
  <strong>
   Python, SQL, cloud data warehousing platforms, and modern data engineering tooling
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   About the Role
  </strong>
 </p>
 <p>
  This position reports directly to the
  <strong>
   Head of Engineering
  </strong>
  . The ideal candidate will have meaningful educational and/or professional experience designing and implementing scalable data systems, building ETL pipelines, and writing clean, maintainable, well-tested code.
 </p>
 <p>
  <br/>
 </p>
 <p>
  This team is looking for someone who is genuinely excited to spend most of their day coding and building scalable systems, while also contributing architectural input. They would strongly prefer someone in
  <strong>
   NYC
  </strong>
  , and
  <strong>
   2-3 days per week in-office
  </strong>
  should be expected. They also want someone who is comfortable building with and using
  <strong>
   agentic systems
  </strong>
  . This is not the right fit for someone optimizing primarily for work/life balance.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Participate in the full software development life cycle from planning to deployment
  </li>
  <li>
   Design and build scalable ETL/ELT pipelines to ingest, transform, and load data from multiple sources
  </li>
  <li>
   Collaborate with the team to design, develop, unit test, and support new features
  </li>
  <li>
   Strive for high quality and rapid output through agile software development best practices
  </li>
  <li>
   Architect data warehouses and data lakes, optimizing for query performance and cost efficiency
  </li>
  <li>
   Perform code reviews and provide constructive feedback to peers
  </li>
  <li>
   Maintain and improve the tech stack
  </li>
  <li>
   Develop flexible and well-structured data pipelines and data warehouse schemas
  </li>
  <li>
   Implement effective security protocols, data protection measures, and storage solutions
  </li>
  <li>
   Troubleshoot, debug, and upgrade software
  </li>
  <li>
   Ensure software meets all requirements of quality, security, and configurability
  </li>
  <li>
   Contribute to documentation, tests, and automation pipelines
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Requirements
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in Computer Science, Software Engineering, or a related field
  </li>
  <li>
   Minimum of 3 years of experience in data engineering, ETL development, or analytics engineering, ideally within fintech or financial services
  </li>
  <li>
   Advanced proficiency in Python and SQL for data pipeline development and analysis
  </li>
  <li>
   Familiarity with CI/CD tools
  </li>
  <li>
   Experience with data warehousing platforms such as Snowflake, BigQuery, Redshift, or similar, as well as modern ETL tools
  </li>
  <li>
   Strong knowledge of the software development lifecycle
  </li>
  <li>
   Experience with testing and debugging
  </li>
  <li>
   Proficient understanding of code versioning tools such as Git
  </li>
  <li>
   Excellent problem-solving skills and attention to detail
  </li>
  <li>
   Excellent communication and teamwork skills
  </li>
  <li>
   Ability to work independently and take initiative
  </li>
  <li>
   Willingness and ability to build with agentic systems in a practical, hands-on way
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Why This Role
  </strong>
 </p>
 <p>
  This is an opportunity to help architect a state-of-the-art platform and partner with an experienced leadership team during a period of rapid development. The team has additional flexibility on compensation for stronger candidates, with total base salary landing closer to
  <strong>
   $200,000-$225,000
  </strong>
  for candidates with more experience.
 </p>
</div>


Data Engineer

Emonics LLC

<div>
 <p>
  Job Overview:
 </p>
 <p>
  We are seeking a Data Engineer to support data pipeline development and ETL processes.
 </p>
 <p>
 </p>
 <p>
  Responsibilities:
 </p>
 <p>
 </p>
 <p>
  Build and maintain ETL pipelines
 </p>
 <p>
 </p>
 <p>
  Optimize database performance
 </p>
 <p>
 </p>
 <p>
  Work with structured and unstructured data
 </p>
 <p>
 </p>
 <p>
  Ensure data integrity
 </p>
 <p>
 </p>
 <p>
  Requirements:
 </p>
 <p>
 </p>
 <p>
  Degree in Data Engineering or related field
 </p>
 <p>
 </p>
 <p>
  Knowledge of SQL, Python
 </p>
 <p>
 </p>
 <p>
  Familiarity with data warehousing concepts
 </p>
</div>


Entry Level Data Engineer

Amazon Web Services

<div><h2 class="jobSectionHeader"><b>DESCRIPTION</b></h2><p>
Amazon Web Services (AWS) is a dynamic and rapidly growing business within Amazon and the leader in providing secure, reliable, scalable, and innovative services that help over a million businesses, governments, education, and not for profits across the globe scale and grow! AWS provides a wide set of scalable services to meet customer needs.<br>
<br>
At AWS, the Global Deal Strategy and Programs (GDSP) team drives cloud adoption and business growth through innovative pricing strategies. The organization comprises two specialized teams: Strategic Customer Engagements, which guide ** transformative deals with industry leaders, and Private Pricing Programs &amp; Experiences, which scales and optimizes pricing solutions across our diverse customer base. Within GDSP, you will develop deep expertise in cloud economics, hone your strategic thinking, and directly impact AWS's market leadership while working with latest technologies and global clients.<br>
<br>
The AWS Global Deal Strategy and Programs (GDSP) organization is responsible for the Private Pricing Program. The Private Pricing Analytics and Insights (PPA&amp;I) team owns building scalable analytical solutions that enable the GDSP organization with actionable insights to make data-driven decisions. This role will focus on Data Engineering, and Analytics related to the Private Pricing Program, requiring deep technical skills, strong business acumen and a deep analytical background to provide actionable data-driven insights and decision support.<br>
<br>
As a Data Engineer on this team, you will drive efficiency in data handling processes, setup product analytics, drive advanced analysis and build new metrics which are key inputs to improve the health, scale and growth of the Private Pricing Program. You will work collaboratively with the business leaders operations, and engineering teams on many non-standard and unique business problems and support business initiatives by collecting required and related data from external/internal sources.<br>
<br>
The ideal candidate should have strong communication skills and ability to prioritize effectively to ensure timelines are met. You will own projects from engaging with customers to production and delivery of a suite of tools used by the organization to make key business decisions. You should be a self-starter, comfortable with ambiguity, able to think big and be creative (while still paying careful attention to detail). You think in terms of architecture, not just code. You proactively work to improve the consistency and integration between your team&rsquo;s BI solutions and any related systems or artifacts.<br>
<br>
Key job responsibilities<br>
Design, develop, and maintain scalable data solutions for metrics, reports, analyses, and dashboards that support analytical and business needs<br>
<br>
Collaborate with technology teams to extract, transform, and load data from diverse sources using AWS services and internal tools<br>
Build and deliver high-quality datasets that support data science initiatives and customer reporting requirements<br>
<br>
Automate and optimize reporting processes to enable self-service analytics for stakeholders<br>
Translate business problem statements into technical analysis requirements<br>
<br>
Apply analytical and statistical rigor to answer business questions and drive data-driven decisions<br>
Develop measurement frameworks that quantify customer experience and drive business outcomes<br>
<br>
Create queries and visualizations for ad-hoc requests, projects, and ongoing reporting needs<br>
Write efficient, optimized queries with deep knowledge of data structures and query optimization techniques<br>
<br>
Adopt best practices in reporting and analysis including data integrity, design, validation, and documentation<br>
<br>
Troubleshoot operational data quality issues and audit existing data pipelines and queries<br>
<br>
Recommend improvements to back-end data sources for increased accuracy and simplicity</p><h2 class="jobSectionHeader"><b>
BASIC QUALIFICATIONS</b></h2><ul><li>3+ years of data engineering experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using ETL/ELT processes experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using OLAP technologies experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using data modeling experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using SQL experience</li><li>1+ years of developing and operating large-scale data structures for business intelligence analytics using Oracle experience</li><li>Experience with data modeling, warehousing and building ETL pipelines</li></ul><h2 class="jobSectionHeader"><b>
PREFERRED QUALIFICATIONS</b></h2><ul><li>Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions</li><li>Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)</li></ul><br>
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.<br>
<br>
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.<p><br>
The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life &amp; AD&amp;D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.</p><br>
USA, NY, New York - 145,300.00 - 196,600.00 USD annually<br>
USA, TX, Austin - 132,100.00 - 178,800.00 USD annually<br>
USA, WA, Seattle - 132,100.00 - 178,800.00 USD annually</div><p></p>

Data Engineer, AWS GDSP A&I

Stuut Technologies

<div>
 Stuut is transforming accounts receivable for B2B companies&mdash;making collections smarter and faster for companies that have historically relied on manual processes that are labor intensive and costly. Our platform is gaining traction with finance teams across industrials, chemicals, and manufacturing sectors from Fortune 10 brands to scaling midmarkets. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 We are hiring a Data Engineer to build the data foundation that powers Stuut's intelligence layer. You'll work closely with our product and engineering teams to transform raw financial data into actionable insights that help our customers get paid faster. This is a foundational role, you'll be our first data hire, which means you'll shape everything from our data architecture to how we think about analytics.
 <br/>
 <br/>
 This is a high-impact role for someone who can think strategically about data infrastructure while rolling up their sleeves to build pipelines, models, and systems from scratch. You'll translate messy data into clean, reliable datasets that drive product decisions, customer insights, and business growth. If you've ever wanted to own the entire data stack at a fast-growing company, this is it.
 <br/>
 <br/>
 <strong>
  What You&rsquo;ll Do
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build and own our data infrastructure from the ground up, design pipelines that ingest, transform, and model data from customer ERPs, payment processors, and internal systems
  </li>
  <li>
   Partner with product and engineering to embed data quality and observability into everything we ship
  </li>
  <li>
   Create the analytics foundation that helps our customers understand payment patterns, collection trends, and cash flow predictions
  </li>
  <li>
   Implement DataOps best practices to ensure our data is timely, accurate, and trusted across the organization
  </li>
  <li>
   Collaborate with leadership to define KPIs, build dashboards, and surface insights that drive strategic decisions
  </li>
  <li>
   Scale our data platform as we grow from dozens to hundreds of customers, anticipating needs before they become bottlenecks
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Fit If You&hellip;
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Have 3+ years of hands-on experience building production data pipelines using Python
  </li>
  <li>
   Know your way around SQL and modern data warehouses; bonus if you've worked with Snowflake, BigQuery, or Redshift
  </li>
  <li>
   Have experience implementing ETL/ELT workflows at scale using tools like Airflow, dbt, or similar
  </li>
  <li>
   Understand data modeling fundamentals and can design schemas that balance performance with flexibility
  </li>
  <li>
   Have worked with messy, real-world data from SaaS APIs, databases, or third-party integrations
  </li>
  <li>
   Thrive in ambiguity and get energized by building something new rather than inheriting someone else's stack
  </li>
  <li>
   Care deeply about data quality and believe that great analytics start with great infrastructure
  </li>
  <li>
   Have experience (or strong interest) in fintech, B2B SaaS, or financial data, understanding AR/AP workflows is a big plus
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Compensation
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Top-of-market salary and equity package
  </li>
  <li>
   Benefits (for U.S.-based full-time employees)
  </li>
  <li>
   Medical, dental &amp; vision insurance coverage for you
  </li>
  <li>
   401(k) &amp; Match
  </li>
  <li>
   Equity
  </li>
  <li>
   Flexible PTO
  </li>
  <li>
   Parental Leave
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $135K - $190K
 <br/>
 <br/>
</div>


GEI Consultants

<div><p><b>Description</b><br>
</p><br>
<b>Your role at GEI.</b><br>
<br>
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI&rsquo;s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.<br>
<br>
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.<br>
<br>
<b>Essential Responsibilities &amp; Duties</b><br>
<ul><li>
Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.</li><li>
Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.</li><li>
Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.</li><li>
Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.</li><li>
Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.</li><li>
Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.</li><li>
Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.</li><li>
Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.</li><li>
Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams.</li></ul><br>
<b>
Minimum Qualifications</b><br>
<ul><li>
4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.</li><li>
Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.</li><li>
Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.</li><li>
Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.</li><li>
Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.</li><li>
Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.</li><li>
Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).</li><li>
Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.</li><li>
Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.</li><li>
Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.</li><li>
Prior experience in professional services, engineering, or construction environments is a plus.</li><li>
Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus.</li></ul><br>
<b>
We are GEI.</b><br>
<br>
Some of the world&rsquo;s most pressing problems &ndash; from climate change to sustainable development, to critical infrastructure and the future of our energy supply &ndash; need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.<br>
<br>
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients&rsquo; most complex challenges.<br>
<br>
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.<br>
<br>
<b>Employee-owned. Employee-focused.</b><br>
<br>
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more. Our company culture is driven by our 4 Cs &ndash; we are Client-Centered, Curious, Collaborative, and Community Minded &ndash; which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI&rsquo;s career site here.<br>
<br>
<b>GEI&rsquo;s Total Rewards Package Includes</b><ul><li>
Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus</li><li>
Pay Range For This Position: $90,000.00 &ndash; $150,000.00/year</li><li>
Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More</li><li>
Well-Being Program and Paid Parental Leave</li><li>
Commuter Benefits</li><li>
Hybrid Work Schedules and Cell Phone Stipends</li><li>
GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement</li><li>
Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement</li><li>
Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses</li><li>
Paid Holidays and Generous Paid Time Off Program</li><li>
Rewards and Recognition</li><li>
GEI-Funded Profit Sharing and 401(k)</li><li>
Opportunity to be an Owner and Shareholder (Learn more here)</li><li>
A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion</li><li>
And More&hellip;</li></ul><br>
<b>
PHYSICAL REQUIREMENTS</b><div><div><div><div><div><div><br>
WORK ENVIRONMENT</div><div></div><div><br>
</div></div><div></div><br>
<br>
<div><div><br>
Functional Demands:</div><div></div><div><br>
</div></div><br>
<div><div><br>
</div><div></div><br>
<div><br>
Sedentary</div><div><br>
x</div><div><br>
Light</div><div><br>
</div><div><br>
Medium</div><div></div><div><br>
Other</div></div><div></div><div><div><b><br>
</b><br>
<b>Activity Level Throughout Workday </b><i>(check one per row)</i></div></div><br>
<div><div><br>
<b>
Physical Activity Requirements</b></div><div><br>
<b>Occasional</b><br>
<b>(0-35% of day)</b></div><div><br>
<b>Frequent</b><br>
<b>(33-66% of day)</b></div><div><br>
<b>Continuous</b><br>
<b>(67-100% of day)</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Sitting</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Standing</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Walking</div><div><br>
x</div></div><div></div><div><div><br>
Climbing</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Lifting (floor to waist level) <i>(in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Lifting (waist level and above)<i> (in pounds)</i></div><div><br>
x</div></div><div></div><div><div><br>
Carrying objects</div><div><br>
x</div></div><div></div><div><div><br>
Push/pull</div><div><br>
x</div></div><div></div><div><div><br>
Twisting</div><div><br>
x</div></div><div></div><div><div><br>
Bending</div><div><br>
x</div></div><div></div><div><div><br>
Reaching forward</div><div><br>
x</div></div><div></div><div><div><br>
Reaching overhead</div><div><br>
x</div></div><div></div><div><div><br>
Squat/kneel/crawl</div><div><br>
x</div></div><div></div><div><div><br>
Wrist position deviation</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Pinching/fine motor skills</div><div><br>
x</div></div><div></div><div><div><br>
Keyboard use/repetitive motion</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
Taste or smell (taste=never)</div><div></div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Talk or hear</div><div></div><div><br>
</div><div><br>
x</div></div><div></div><div><div><b><br>
Accurate 20/40</b></div><div><br>
<b>Very Accurate 20/20</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Near Vision</div><div><br>
</div><div><br>
x</div></div><br>
<div></div><div><div><br>
Far Vision</div><div><br>
</div><div><br>
x</div></div><div></div><div><div><br>
<b>
Yes</b></div><div><br>
<b>No</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div></div><div><div><br>
Color Discrimination</div></div><div></div><div><div><b><br>
Sensory Requirements</b></div><div><br>
<b>Minimal</b></div><div><br>
<b>Moderate</b></div><div><br>
<b>Accurate</b></div><div><br>
<b>Not Applicable</b></div></div><br>
<div><div><br>
Depth perception</div><div></div><div><br>
x</div></div><div></div><div><div><br>
Hearing</div><div></div><div><br>
</div><div><br>
x</div></div></div><div></div><b><br>
</b><br>
<b>Environment Requirements</b><div><div><div><div><br>
<b>
Occupational Exposure Risk Potential</b></div><div><br>
<b>Reasonably Anticipated</b></div><div><br>
<b>Not Anticipated</b></div></div><br>
</div><div><div><div><br>
Blood borne pathogens</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Chemical</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Airborne communicable diseases</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Extreme temperatures</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Radiation</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Uneven surfaces or elevations</div><div><br>
x</div></div><div></div><div><div><br>
Extreme noise levels</div><div><br>
</div><div><br>
x</div></div><br>
<div><div><br>
Dust/particulate matter</div><div><br>
x</div></div></div></div><div></div><div><div><br>
<b>
Other (exposure risks):</b></div></div><div></div><div><div><br>
<b>
Usual workday hours</b>:</div><div><br>
x</div><div><br>
8</div><div><br>
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10</div><div><br>
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12</div><div></div><div><br>
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<i>
GEI is an AA/equal opportunity employer, including disabled and veterans.</i></div>

BlackRock

<div><div><div><div><div>Locations: <b>New York, New York</b></div></div></div></div></div><p></p>
<br><div><h2 class="jobSectionHeader"><b>Job description</b></h2>
<div><p><b>About this role</b></p><p>
Aladdin is BlackRock&rsquo;s unified technology and data platform used by BlackRock and many of the world&rsquo;s largest Asset Managers and Investors. The Aladdin Platform Engineering organization is the Engineering Pillar within Aladdin responsible for building and operating the technology platform that powers Aladdin and includes the Developer Platform, the Core Platform and the Control Platform. Within Aladdin Platform Engineering, we are looking to bring on a senior technology leader to be the Head of AI Developer Platform.</p><p><b>
Responsibilities
</b></p><p><b>1. Own AI Native SDLC &amp; Engineering Productivity</b></p><ul><li><b>
Define and operationalize an AIfirst, agent driven SDLC embedded into the Developer Platform, spanning design, build, test, release, and operate phases, including:</b><ul><li>
Agent assisted design, code generation, refactoring, and documentation</li><li>
Agent driven test generation, coverage analysis, defect intelligence, and built-in quality and resilience signals</li><li>
Intelligent release validation, change risk assessment, and deployment readiness</li><li>
Continuous functional, integration, regression, performance, and resilience testing orchestrated as first-class SDLC stages rather than post hoc controls</li><li>
Continuous learning loops that improve software, delivery workflows, and AI agents over time</li></ul></li><li><b>
AI Vendor, Tooling &amp; Platform Integration</b><ul><li><b>
Drive evaluation, selection, and governance of AI developer tools and vendors</b> integrated into the AI Developer Platform, ensuring capabilities are secure, production grade, and aligned to Aladdin&rsquo;s architecture, risk posture, and engineering standards.</li><li><b>
Ensure AI tools are platform integrated rather than point solutions</b>, delivered through standardized onboarding, quality gates, observability, lifecycle management, and Responsible AI controls in partnership with Risk, Security, Legal, and Architecture.</li></ul></li><li><b>
Lead adoption of PDLC agents delivered through the Developer Platform, aligned to core engineering personas and architecture/design principles</b>:<ul><li><b>
Developers:</b></li><li><b>
Testers / QE</b>:</li><li><b>
Operators / SREs</b>:</li><li><b>
Ensure quality, resilience, and risk prevention are embedded as default behaviors within PDLC agents, rather than treated as separate processes or late-stage controls.</b></li></ul></li></ul><p><b>
2. Own the evolution of continuous validation capabilities across the SDLC, including:</b></p><ul><li>
Performance, load, spike, and concurrency testing integrated into CI/CD pipelines</li><li>
Chaos engineering and fault injection experiments executed in preproduction environments</li><li>
Game Day testing and operational readiness simulations to validate incident response, observability, and recovery paths</li><li>
Establish clear <b>skill expectations and enablement paths</b> for developers, testers, and operators working in an AI augmented delivery model,</li></ul><p><b>
3. AI Developer Platform Context Engineering &amp; Enablement</b></p><ul><li><b>
Own the workforce enablement and distribution layer for the Developer Platform</b> (through IDEs), ensuring AI capabilities and PDLC agents are delivered as secure, reusable, composable platform services within Engineering Services rather than fragmented tools.</li><li><b>
Lead context engineering and context graph strategy for the Developer Platform</b>, including:<ul><li><b>
Defining and evolving enterprise context graphs
</b></li><li><b>Ensuring AI agents and PDLC agents have governed access to the right</b> context at the right time, with controlled blast radius</li></ul></li><li><b>
Driving reuse of context primitives across SDLC, agent-based validation,</b> and operational workflows</li></ul><p><b>
4. Own platform level capabilities for test data and environment management, including:</b></p><ul><li><b>
Production aligned preproduction environments</b> that enable reliable end-to-end validation</li><li><b>
Repeatable, governed test data strategies</b> (refresh, reset/replay, synthetic data) that support functional, performance, and resilience testing</li><li><b>
Pre-Prod Environment stability</b>, drift detection, and telemetry-based health signals as inputs to release decisions</li></ul><ul><li><b>
Be a Champion and Lead governance for context ownership, freshness, versioning, and reuse to prevent drift and repeated failures at scale.</b></li></ul><p><b>
5. Engineering Excellence, Culture &amp; Leadership</b></p><ul><li>
Build and lead a high-performance, globally distributed AI Developer Platform organization within Engineering Services.</li><li>
Evangelize AI native, agent driven delivery practices across Aladdin while balancing innovation, operational stability, and risk discipline.</li></ul><p><b>
7. Governance, Risk &amp; Responsible AI</b></p><ul><li>
Own policy, governance, and control frameworks for AI usage <b>and PDLC agents within the Developer Platform</b>, ensuring alignment with firmwide risk, compliance, and Responsible AI standards.</li><li>
Own and mitigate technology and AI related risks for the Developer Platform, representing Engineering Services in risk and control governance forums.</li></ul><p><b>
8. Collaboration &amp; Enterprise Impact</b></p><ul><li>
Work closely with business leaders, product managers, domain architects, and delivery teams to translate business requirements into scalable, secure AI Developer Platform and PDLC agent capabilities.</li><li>
Collaborate with Platform Engineering, Product Engineering, Product leadership to ensure the Developer Platform meets the growth demands of Aladdin&rsquo;s clients and partners.</li></ul>
For New York, NY Only the salary range for this position is USD$275,000.00 - USD$350,000.00 . Additionally, employees are eligible for an annual discretionary bonus, and benefits including healthcare, leave benefits, and retirement benefits. BlackRock operates a pay-for-performance compensation philosophy and your total compensation may vary based on role, location, and firm, department and individual performance.
<p><b>
Our benefits</b><br>
<br>
To help you stay energized, engaged and inspired, we offer a wide range of benefits including a strong retirement plan, tuition reimbursement, comprehensive healthcare, support for working parents and Flexible Time Off (FTO) so you can relax, recharge and be there for the people you care about.</p><p><b>
Our hybrid work model</b></p><p>
BlackRock&rsquo;s hybrid work model is designed to enable a culture of collaboration and apprenticeship that enriches the experience of our employees, while supporting flexibility for all. Employees are currently required to work at least 4 days in the office per week, with the flexibility to work from home 1 day a week. Some business groups may require more time in the office due to their roles and responsibilities. We remain focused on increasing the impactful moments that arise when we work together in person &ndash; aligned with our commitment to performance and innovation. As a new joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at BlackRock.</p><p><b>
About BlackRock</b></p><p>
At BlackRock, we are all connected by one mission: to help more and more people experience financial well-being. Our clients, and the people they serve, are saving for retirement, paying for their children&rsquo;s educations, buying homes and starting businesses. Their investments also help to strengthen the global economy: support businesses small and large; finance infrastructure projects that connect and power cities; and facilitate innovations that drive progress.</p><p>
This mission would not be possible without our smartest investment &ndash; the one we make in our employees. It&rsquo;s why we&rsquo;re dedicated to creating an environment where our colleagues feel welcomed, valued and supported with networks, benefits and development opportunities to help them thrive.</p><div>
For additional information on BlackRock, please visit @blackrock<div>
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 | Twitter: @blackrock<div>
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 | LinkedIn: www.linkedin.com/company/blackrock<div>
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BlackRock is proud to be an equal opportunity workplace. We are committed to equal employment opportunity to all applicants and existing employees, and we evaluate qualified applicants without regard to race, creed, color, national origin, sex (including pregnancy and gender identity/expression), sexual orientation, age, ancestry, physical or mental disability, marital status, political affiliation, religion, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. <b>View the </b><b>EEOC&rsquo;s Know Your Rights poster and its supplement</b><div><b>
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 and the </b><b>pay transparency statement</b><div><b>
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.</b></div><div>
BlackRock is committed to full inclusion of all qualified individuals and to providing reasonable accommodations or job modifications for individuals with disabilities. If reasonable accommodation/adjustments are needed throughout the employment process, please email Disability.Assistance@blackrock.com<div>
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. All requests are treated in line with our <b>privacy policy</b><div>
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.<div>
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BlackRock will consider for employment qualified applicants with arrest or conviction records in a manner consistent with the requirements of the law, including any applicable fair chance law.</div>
<div><div><b>Job Requisition #</b>
<br>
R261411</div></div></div><p></p>

Head of AI Developer Platform

CVS Health

<div><p>We&rsquo;re building a world of health around every individual &mdash; shaping a more connected, convenient and compassionate health experience. At CVS Health&reg;, you&rsquo;ll be surrounded by passionate colleagues who care deeply, innovate with purpose, hold ourselves accountable and prioritize safety and quality in everything we do. Join us and be part of something bigger &ndash; helping to simplify health care one person, one family and one community at a time.</p><p></p><h2 class="jobSectionHeader"><b>
Job Description &ndash; Epic Cogito Administrator</b></h2><h3 class="jobSectionHeader"><b>
Role Overview</b></h3><p>
The Epic Cogito Administrator supports the Epic Cogito analytics ecosystem by managing the technical platforms that enable enterprise reporting and data analytics. This role is accountable for the stability, performance, integrity, and availability of Epic reporting databases and data pipelines, working closely with Epic teams, database administrators, infrastructure partners, and business stakeholders.</p><h3 class="jobSectionHeader"><b>
Key Responsibilities</b></h3><ul><li><p>
Administer and support Epic Cogito platforms, including <b>Clarity, Caboodle, and SlicerDicer</b>.</p></li><li><p>
Monitor, validate, and troubleshoot <b>nightly ETL processes</b> to ensure data completeness, accuracy, and timeliness.</p></li><li><p>
Maintain and support <b>Clarity Console and Caboodle Console</b> environments used to move data from Epic operational systems into reporting databases.</p></li><li><p>
Partner with database administrators to ensure <b>optimal SQL Server performance</b>, capacity planning, and data integrity.</p></li><li><p>
Investigate and resolve ETL failures, performance degradation, and data quality issues.</p></li><li><p>
Coordinate Cogito activities across <b>production and non‑production environments</b>, including upgrades, refreshes, and migrations.</p></li><li><p>
Support <b>reporting and analytics consumers</b> by ensuring data availability and platform reliability.</p></li><li><p>
Enforce <b>security, access controls, and audit requirements</b> in alignment with enterprise governance standards.</p></li><li><p>
Participate in <b>change management, incident response, and release activities</b>, including Epic upgrades and environment refreshes.</p></li><li><p>
Maintain documentation, runbooks, and operational standards for Cogito platforms.</p></li><li><p>
Collaborate with Epic, infrastructure, and application teams to implement best practices and continuous improvements.</p></li></ul><h3 class="jobSectionHeader"><b>
Required Qualifications</b></h3><ul><li><p>
Experience administering <b>Epic Cogito platforms</b> (Clarity, Caboodle, SlicerDicer).</p></li><li><p>
Strong working knowledge of <b>SQL Server</b>, relational databases, and ETL processes.</p></li><li><p>
Experience supporting <b>Epic reporting environments</b> across production and non‑production systems.</p></li><li><p>
Ability to troubleshoot complex data pipeline, performance, and integration issues.</p></li><li><p>
Familiarity with Epic operational data flows from Chronicles to reporting platforms.</p></li><li><p>
Understanding of <b>enterprise security, access controls, and compliance requirements</b>.</p></li><li><p>
Strong communication skills with the ability to partner across technical and business teams.</p></li></ul><h3 class="jobSectionHeader"><b>
Preferred Qualifications</b></h3><ul><li><p>
Epic Cogito, Clarity, or Caboodle <b>certification</b>.</p></li><li><p>
Experience supporting <b>large‑scale healthcare reporting environments</b>.</p></li><li><p>
Knowledge of <b>SlicerDicer, Reporting Workbench, Radar</b>, or downstream analytics tools.</p></li><li><p>
Experience with <b>system upgrades, environment refreshes, and disaster recovery planning</b>.</p></li><li><p>
Familiarity with <b>Epic Galaxy documentation</b> and Epic best practices.</p></li></ul><h3 class="jobSectionHeader"><b>
Key Competencies</b></h3><ul><li><p>
Data pipeline reliability and operational excellence</p></li><li><p>
Technical troubleshooting and root‑cause analysis</p></li><li><p>
Collaboration across infrastructure, DBA, and application teams</p></li><li><p>
Attention to detail and data quality</p></li><li><p>
Change management and operational discipline</p></li></ul><p></p><p><b>
Education:</b></p><ul><li>
Bachelor's degree preferred/specialized training/relevant professional qualification.</li></ul><p></p><p><b>
Anticipated Weekly Hours</b></p>
40<p></p><p><b>
Time Type</b></p>
Full time<p></p><p><b>
Pay Range</b></p><p>
The typical pay range for this role is:</p><p></p>
$83,430.00 - $222,480.00<p></p><p>
This pay range represents the base hourly rate or base annual full-time salary for all positions in the job grade within which this position falls. The actual base salary offer will depend on a variety of factors including experience, education, geography and other relevant factors. This position is eligible for a CVS Health bonus, commission or short-term incentive program in addition to the base pay range listed above.</p><p><br>
Our people fuel our future. Our teams reflect the customers, patients, members and communities we serve and we are committed to fostering a workplace where every colleague feels valued and that they belong.</p><p></p><p><b>
Great benefits for great people</b></p><p></p><p>
We take pride in offering a comprehensive and competitive mix of pay and benefits that reflects our commitment to our colleagues and their families.</p><br>
This full‑time position is eligible for a comprehensive benefits package designed to support the physical, emotional, and financial well‑being of colleagues and their families. The benefits for this position include medical, dental, and vision coverage, paid time off, retirement savings options, wellness programs, and other resources, based on eligibility.<p><br>
Additional details about available benefits are provided during the application process and on Benefits Moments.</p><br>
We anticipate the application window for this opening will close on: 04/20/2026<p></p><p>
Qualified applicants with arrest or conviction records will be considered for employment in accordance with all federal, state and local laws.</p></div>

Epic Cogito Administrator

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