data analyst

data engineer

data scientist

software engineer

senior data engineer

database engineer

FanDuel

<div>
 <strong>
  THE POSITION
  <br/>
  <br/>
 </strong>
 Our roster has an opening with your name on it
 <br/>
 <br/>
 FanDuel is looking for a Data Support Engineer to advance our data capabilities and ensure the reliability and performance of our critical data pipelines and infrastructure. FanDuel's competitive edge is enabled by our ability to leverage accurate and timely data for informed decision-making.
 <br/>
 <br/>
 As a Data Support Engineer, you will be a valued member of the Data Support team, maintaining exceptional standards and servicing the needs of data consumers across the company. You will ensure the health of our data infrastructure, contribute to the delivery of reliable, timely, and consumable data, and combine technical troubleshooting with proactive monitoring. You'll have the opportunity to work in an agile environment where you will team up with colleagues having experience in data engineering, machine learning and more.
 <br/>
 <br/>
 In addition to the specific responsibilities outlined above, employees may be required to perform other such duties as assigned by the Company. This ensures operational flexibility and allows the Company to meet evolving business needs.
 <br/>
 <br/>
 <strong>
  THE GAME PLAN
  <br/>
  <br/>
 </strong>
 Everyone on our team has a part to play
 <br/>
 <br/>
 <ul>
  <li>
   Provide on-call technical assistance to analysts, data consumers, and data engineering teams, responding to inquiries relating to query optimization, reporting anomalies, complex data pipeline issues, failed jobs, and data inconsistencies.
  </li>
  <li>
   Investigate and resolve data quality issues in response to system alerts or notifications from stakeholders, ensuring compliance with internal/external audits and control practices.
  </li>
  <li>
   Design and implement batch and real-time data pipelines to the data warehouse or data lake using data transformation technologies, enhancing monitoring dashboards and support tools.
  </li>
  <li>
   Lead impactful initiatives to enhance data pipelines and other data operations capabilities while mentoring and onboarding new support data engineers. Identify operational inefficiencies and implement automation solutions to reduce manual intervention.
  </li>
  <li>
   Create and maintain technical support documentation, including FAQs, troubleshooting steps, support runbooks, and a knowledge base of solutions to recurring issues.
  </li>
  <li>
   Drive operational best practices and shape workflows for routine consumer support, operations monitoring, incident management, and problem management.
  </li>
  <li>
   Administer account access to tools across the technology stack in accordance with our governance policies.
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Able to join team's On-call Pager duty rotation to ensure 24/7 coverage and timely response to critical data issues.
 <br/>
 <br/>
 <strong>
  THE STATS
  <br/>
  <br/>
 </strong>
 What we're looking for in our next teammate
 <br/>
 <br/>
 <ul>
  <li>
   Minimum of 3+ years of experience in data engineering with focus on operational support
  </li>
  <li>
   Advanced SQL skills with proven query optimization experience
  </li>
  <li>
   Strong problem-solving skills with ability to take ownership and accountability for issues through resolution
  </li>
  <li>
   Python programming proficiency for automation and data processing
  </li>
  <li>
   Experience with cloud data platforms (AWS, Databricks, Spark)
  </li>
  <li>
   Understanding of data warehousing and ETL/ELT processing
  </li>
  <li>
   Experience with dimensional data modeling, batch data ingestion, and real-time technologies like Kafka or Kinesis
  </li>
  <li>
   Working knowledge of orchestration and monitoring tools (Airflow, Datadog, Databand, DataFold, Monte Carlo, Prometheus, Grafana)
  </li>
  <li>
   Strong incident management and root cause analysis capabilities
  </li>
  <li>
   Customer-oriented mindset with focus on delivering high-quality support services and attention to detail
  </li>
  <li>
   Exceptional communication and interpersonal skills
  </li>
  <li>
   Proven ability to work effectively within teams and across organizational boundaries
  </li>
  <li>
   Experience owning and coordinating issues across multiple time zones
  </li>
  <li>
   Experience identifying operational inefficiencies and implementing automation solutions using AI techniques
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 Preferred Qualifications:
 <br/>
 <br/>
 <ul>
  <li>
   Experience with data streaming patterns and tools like Dbt
  </li>
  <li>
   Familiarity with CI/CD practices for data pipelines (BuildKite or Github Actions)
  </li>
  <li>
   Familiarity with data visualization tools such as Tableau or Looker
  </li>
  <li>
   Exposure to database design, performance analysis, and data quality metrics
  </li>
  <li>
   Exposure to Data Science, Machine Learning, and AI applications
   <br/>
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  About Fanduel
  <br/>
  <br/>
 </strong>
 FanDuel Group is the premier mobile gaming company in the United States and Canada. FanDuel Group consists of a portfolio of leading brands across mobile wagering including: America&rsquo;s #1 Sportsbook, FanDuel Sportsbook; its leading iGaming platform, FanDuel Casino; the industry&rsquo;s unquestioned leader in horse racing and advance-deposit wagering, FanDuel Racing; and its daily fantasy sports product.
 <br/>
 <br/>
 In addition, FanDuel Group operates FanDuel TV, its broadly distributed linear cable television network and FanDuel TV+, its leading direct-to-consumer OTT platform. FanDuel Group has a presence across all 50 states, Canada, and Puerto Rico.
 <br/>
 <br/>
 The company is based in New York with US offices in Los Angeles, Atlanta, and Jersey City, as well as global offices in Canada and Scotland. The company&rsquo;s affiliates have offices worldwide, including in Ireland, Portugal, Romania, and Australia.
 <br/>
 <br/>
 FanDuel Group is a subsidiary of Flutter Entertainment, the world's largest sports betting and gaming operator with a portfolio of globally recognized brands and traded on the New York Stock Exchange (NYSE: FLUT).
 <br/>
 <br/>
 <strong>
  Player Benefits
  <br/>
  <br/>
 </strong>
 We treat our team right
 <br/>
 <br/>
 We offer amazing benefits above and beyond the basics. We have an array of health plans to choose from (some as low as $0 per paycheck) that include programs for fertility and family planning, mental health support, and fitness benefits. We offer generous paid time off (PTO &amp; sick leave), annual bonus and long-term incentive opportunities (based on performance), 401k with up to a 5% match, commuter benefits , pet insurance, and more - check out all our benefits here:
 <strong>
  FanDuel Total Rewards
 </strong>
 . *Benefits differ across location, role, and level.
 <br/>
 <br/>
 FanDuel is an equal opportunities employer and we believe, as one of our principles states, &ldquo;We are One Team!&rdquo;. As such, we are committed to equal employment opportunity regardless of race, color, ethnicity, ancestry, religion, creed, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or any other characteristic protected by state, local or federal law. We believe FanDuel is strongest and best able to compete if all employees feel valued, respected, and included.
 <br/>
 <br/>
 <strong>
  <em>
   The applicable salary range for this position is $116,000 - $152,250 USD, which is dependent on a variety of factors including relevant experience, location, business needs and market demand. This role may offer the following benefits: medical, vision, and dental insurance; life insurance; disability insurance; a 401(k) matching program; among other employee benefits. This role may also be eligible for short-term or long-term incentive compensation, including, but not limited to, cash bonuses and stock program participation. This role includes paid personal time off and 14 paid company holidays. FanDuel offers paid sick time in accordance with all applicable state and federal laws.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   FanDuel is committed to providing reasonable accommodations for qualified individuals with disabilities. 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 email Benefits@fanduel.com.
   <br/>
   <br/>
  </em>
 </strong>
 <strong>
  <em>
   It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
   <br/>
   <br/>
  </em>
 </strong>
</div>


Data Engineer

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>
</div><div><br>
10</div><div><br>
</div><div><br>
12</div><div></div><div><br>
Other work hours</div></div></div></div></div><br>
<div></div>
<i>
GEI is an AA/equal opportunity employer, including disabled and veterans.</i></div>

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>


Sunset

<div>
 <strong>
  About Sunset
  <br/>
  <br/>
 </strong>
 Sunset is building the data layer for real-world AI training. We work with frontier labs to turn messy, multi-modal enterprise data into the highest-quality training data on the market &mdash; sourced from the hundreds of venture-backed startups we've helped wind down.
 <br/>
 <br/>
 We're a fast-growing team based in-person in Dumbo, Brooklyn. Backed by Floodgate, Afore Capital, Hustle Fund, and incredible entrepreneurs.
 <br/>
 <br/>
 <strong>
  The Role
  <br/>
  <br/>
 </strong>
 As a Data Engineer at Sunset, you'll own the pipeline that turns raw, chaotic enterprise data into the highest-quality training data on the market. One of our core technical challenges is entity resolution and de-identification across different sources and modalities. An even deeper challenge is understanding the node structures and linkages well enough to effectively reconstruct the business world this data comes from. All of this happens on sensitive data, which means security and privacy aren't a separate workstream but are built into every pipeline, system, and decision we make.
 <br/>
 <br/>
 <strong>
  What You'll Work On
  <br/>
  <br/>
 </strong>
 You'll own problems end-to-end. Some examples of what you might tackle in your first 90 days:
 <br/>
 <br/>
 <ul>
  <li>
   Designing the de-identification layer that replaces PII with stable pseudonyms while preserving every relationship across every source
  </li>
  <li>
   Building coreference resolution across Slack threads, email chains, and Linear comments so that "me," "him," and first-name mentions all resolve to the right canonical entity
  </li>
  <li>
   Hardening how we ingest, store, and process sensitive client data &mdash; from encryption and access controls to audit trails and isolation boundaries
  </li>
  <li>
   Extending our entity resolution pipeline to handle new modalities &mdash; think audio, video, design files, or embedded references inside documents
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  You Might Be a Fit If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You are a product minded engineer and have shipped data pipelines at scale
  </li>
  <li>
   You have strong Python and are comfortable across NER, record linkage, and coreference
  </li>
  <li>
   You take security and privacy seriously and have built systems where getting it wrong wasn't an option
  </li>
  <li>
   You want to own a hard, ambiguous problem end-to-end rather than wait for a PRD
  </li>
  <li>
   AI is deeply integrated into your workflow and life
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  This Role Might Not Be a Fit If
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   You want to work remote or hybrid &mdash; we're in-person 5 days/week in Dumbo
  </li>
  <li>
   You want to do novel ML research &mdash; this role is applied, not research
  </li>
  <li>
   You prefer long planning cycles or narrow ownership
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Our Stack
  <br/>
  <br/>
 </strong>
 Python, Postgres, Redis, AWS. We pick tools based on the problem, not the other way around.
 <br/>
 <br/>
 <strong>
  Compensation &amp; Benefits
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   $180K&ndash;$280K base + meaningful equity
  </li>
  <li>
   100% covered medical, dental, and vision
  </li>
  <li>
   Unlimited PTO
  </li>
  <li>
   $500 in-office setup allowance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  How We Hire
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Intro Chat (20 min) &ndash; mutual fit and interests
  </li>
  <li>
   Technical Session (1hr) &ndash; collaborative problem-solving
  </li>
  <li>
   Onsite (2&ndash;3 hrs) &ndash; product deep dive, system design, meet the team
  </li>
  <li>
   Quick references &rarr; Offer
   <br/>
   <br/>
  </li>
 </ul>
 Compensation Range: $180K - $280K
 <br/>
 <br/>
</div>


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>


Outfront Media

<div><p><b>Job Summary</b></p><p>
At OUTFRONT Media, a leader in Digital Out of Home (DOOH) advertising, we are blending cutting-edge technology with our nationwide network of digital billboards and transit displays to create innovative solutions that push the boundaries of what is possible. We are looking for a passionate and experienced Senior Data Engineer to join our growing Data &amp; Analytics team.</p><p></p><p>
This role is designed for a senior-level data professional with deep expertise in data engineering and strong business intelligence experience. The right candidate will build and scale modern data pipelines, design reliable and performant data models, and enable the business through high-quality dashboards and self-service reporting. This is a hybrid role grounded in data engineering first, with a clear expectation that the individual can also deliver business-facing analytics solutions in Sigma Computing.</p><p></p><p>
As a Senior Data Engineer, you will leverage your expertise in cloud technologies, data architecture, and modern data warehouses to design and implement scalable, high-impact solutions that drive real business results. You will partner with leadership and stakeholders across the business to ensure our data systems evolve alongside company needs, while also helping deliver trusted dashboards and reporting assets that support smarter decision-making.</p><p></p><p><b>
What You'll Do</b></p><ul><li>Build and maintain high-performance data pipelines that enable deeper analysis, reporting, and insights across the business.</li><li>Design and implement scalable data models and warehouse structures that support analytics, reporting, and data science needs, optimizing for speed, reliability, and maintainability.</li><li>Create seamless data ingestion and transformation processes using modern ETL/ELT practices, leveraging AWS, Snowflake, dbt, and Fivetran to ensure smooth and reliable data flow.</li><li>Own and improve the backend data foundation that powers dashboards, reporting, and self-service analytics.</li><li>Collaborate with business teams to understand data and reporting needs, and translate them into flexible, scalable technical solutions.</li><li>Develop and maintain dashboards, reports, and analytic views in Sigma Computing, ensuring business users have access to trusted, actionable, and easy-to-use insights.</li><li>Partner with stakeholders to define KPIs, business logic, and reporting requirements, and translate them into scalable data models and reporting solutions.</li><li>Establish best practices for data quality, governance, documentation, and reporting consistency across both engineering and analytics workflows.</li><li>Continuously improve reporting and analysis by automating processes, streamlining workflows, and empowering teams with self-service data tools.</li><li>Operate effectively within Agile delivery processes, contributing to sprint planning, backlog refinement, estimation, story development, and cross-functional execution using Jira and Confluence.</li></ul><p></p><p><b>
Experience</b></p><ul><li>7+ years of experience designing and implementing modern data warehouse and analytics engineering solutions, with a focus on scalability, reliability, and performance.</li><li>7+ years of experience writing advanced SQL and developing robust ETL/ELT pipelines to transform and integrate data across multiple systems.</li><li>7+ years of experience using Python or similar languages to build scalable, efficient, and maintainable data solutions.</li><li>Strong hands-on experience with AWS, Snowflake, dbt, Fivetran, and Sigma Computing.</li><li>Experience building and optimizing data models in Snowflake and managing transformation workflows in dbt.</li><li>Experience using Fivetran or similar ingestion tools to build and maintain reliable source-to-warehouse pipelines.</li><li>5-7 years of dashboarding and BI experience overall, with strong hands-on experience delivering reporting solutions for business users.</li><li>Hands-on Sigma Computing experience is required. Ideal candidates will have 5-7 years of Sigma Computing experience; at minimum, candidates must have 3+ years of direct Sigma Computing experience, along with prior experience using Tableau and/or Power BI.</li><li>Proficient in cloud technologies, especially AWS, and experienced in building scalable data solutions in cloud-native environments.</li><li>Experience working in Agile teams and collaborating across engineering, analytics, and business stakeholders.</li><li>Strong working knowledge of Jira and Confluence for backlog management, sprint planning, documentation, and team collaboration.</li></ul><p></p><p><b>
Technical Expertise</b></p><ul><li>Deep expertise in modern data engineering and analytics engineering practices.</li><li>Strong hands-on experience with AWS, Snowflake, dbt, Fivetran, and Sigma Computing.</li><li>Expertise in building and optimizing data models, transformations, and reporting-ready datasets in Snowflake and dbt.</li><li>Strong hands-on experience delivering business-facing dashboards and self-service reporting in Sigma Computing, supported by well-modeled, scalable data structures in Snowflake and dbt.</li><li>Prior experience with Tableau and/or Power BI is preferred.</li><li>Strong understanding of data modeling, semantic layer design, and self-service analytics enablement.</li><li>Solid understanding of data governance, data quality, and documentation best practices.</li><li>Deep knowledge of identity management, data privacy, audience targeting, cross-device graphs, and related technologies.</li><li>Solid understanding of digital advertising technology, including ad serving, analytics, DSP, DMP, SSP, QA, and targeting.</li></ul><p></p><p><b>
Soft Skills</b></p><ul><li>Strong cross-functional collaboration skills, with experience aligning technical and business stakeholders on priorities and trade-offs.</li><li>Exceptional communication skills, capable of breaking down complex technical concepts for non-technical audiences.</li><li>Strong business acumen and an analytics mindset, with the ability to move from raw data to meaningful recommendations.</li><li>Ability to operate across both backend engineering and front-end analytics use cases.</li><li>Strong organizational and delivery skills, with the ability to work effectively in Agile teams and manage multiple priorities.</li></ul><p></p><p><b>
Education</b></p><p>
Bachelor of Engineering in Computer Science or equivalent experience preferred.</p><p></p><p>
The salary range for this role is $165,000-$185,000 per year. Compensation is determined during our interview process by assessing a candidate&rsquo;s experience and skills relative to internal peers and market benchmarks evaluated for the scope and responsibilities of the position. Please note that the foregoing compensation information is a good-faith assessment associated with this position only and is provided pursuant to the New York and New Jersey Salary Transparency Law.</p><h3 class="jobSectionHeader"><b>
To all Recruitment Agencies: OUTFRONT Media LLC does not accept agency and unsolicited resumes. Please do not forward resumes to our OUTFRONT Media employees or any other company location</b><b>.</b></h3><p></p><p>
OUTFRONT Media is not responsible for any fees related to unsolicited resumes.</p><p></p><p><b>
OUTFRONT Media Is An Equal Opportunity Employer</b></p><p></p><p><b>
All applicants shall receive equal consideration without regard to race, color, religion, gender, marital status, gender identity or expression, sexual orientation, national origin, age, veteran status or disability. Please refer to the </b>OUTFRONT Media Affirmative Action policy statement.</p></div><p></p>

Senior Data Engineer

Slang AI

<div>
 <p>
  <span>
   Slang AI is redefining customer engagement through conversational AI, making every interaction seamless and efficient. Our mission is to transform the restaurant industry by providing the ultimate voice AI solution for consistently outstanding customer experiences.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <span>
   At Slang AI, we believe how we build matters just as much as what we build. We foster a culture rooted in hospitality, ownership, and clarity, where every &ldquo;Slangsta&rdquo; feels valued, supported, and connected to the broader impact of our work in the AI-powered future of restaurants.
   <br/>
  </span>
 </p>
 <p>
  <strong>
   <strong>
    Overview
   </strong>
  </strong>
 </p>
 <p>
  <span>
   We're looking for a
  </span>
  <strong>
   <strong>
    Data Analytics Engineer
   </strong>
  </strong>
  <span>
   to join our data team and help build and scale our analytics infrastructure from ingestion to dashboard. You'll build and maintain the pipelines, transformations, and reporting layers that the rest of the company relies on to understand our product, our customers, and our business. This role sits at the intersection of data engineering and BI analytics, and the right person will be equally comfortable writing complex SQL transformations and presenting a clean dashboard to stakeholders.
  </span>
 </p>
 <p>
  <span>
   You'll work closely with product engineering to instrument new features, maintain the business logic behind our core metrics, and keep our data warehouse performant and cost-efficient. There's also real opportunity to push into real-time data infrastructure as the platform evolves, including streaming pipelines and event-driven metric delivery for production services.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <strong>
    Key Responsibilities
   </strong>
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Build and maintain analytics pipelines in BigQuery using dbt Cloud, including staging, transformation, and mart layers
   </span>
  </li>
  <li>
   <span>
    Manage and configure Airbyte ingestion streams and Hightouch reverse ETL syncs
   </span>
  </li>
  <li>
   <span>
    Partner with product engineering to ensure new features follow our event-driven instrumentation methodology and emit the right data from day one
   </span>
  </li>
  <li>
   <span>
    Define and maintain business logic for metrics construction, serving as the source of truth for how key metrics are calculated
   </span>
  </li>
  <li>
   <span>
    Build, update, and maintain internal dashboards in Looker Studio
   </span>
  </li>
  <li>
   <span>
    Build and maintain BigQuery datasets, views, and scheduled queries
   </span>
  </li>
  <li>
   <span>
    Monitor and optimize query performance and warehouse costs, proactively identifying opportunities to reduce spend
   </span>
  </li>
  <li>
   <span>
    Design and implement data backup and redundancy strategies
   </span>
  </li>
  <li>
   <span>
    Make occasional updates to the customer-facing dashboard layer in the product (TypeScript)
   </span>
  </li>
  <li>
   <span>
    Perform ad-hoc data analysis and produce one-off data pulls for customers as needed
   </span>
  </li>
  <li>
   <span>
    Identify recurring data requests and build automated, self-serve solutions to replace manual fulfillment
   </span>
  </li>
  <li>
   <span>
    Investigate BigQuery continuous queries for publishing metrics to Cloud Pub/Sub, enabling product engineering services to consume analytics data in near real-time
   </span>
  </li>
  <li>
   <span>
    Evaluate Cloud Dataflow for real-time and low-latency data processing use cases as the platform's needs evolve
    <br/>
    <br/>
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <strong>
    Basic Qualifications
   </strong>
  </strong>
 </p>
 <ul>
  <li>
   <span>
    5+ years of experience in data engineering, BI analytics, or software engineering
   </span>
  </li>
  <li>
   <span>
    Expert-level SQL skills, particularly in BigQuery or comparable cloud data warehouses
   </span>
  </li>
  <li>
   <span>
    Hands-on experience with dbt (dbt Cloud preferred) for managing transformation pipelines
   </span>
  </li>
  <li>
   <span>
    Experience with data ingestion tools such as Airbyte, Fivetran, or similar
   </span>
  </li>
  <li>
   <span>
    Experience with reverse ETL tools such as Hightouch or Census
   </span>
  </li>
  <li>
   <span>
    Working knowledge of Python for data scripting, automation, and ad hoc analysis
   </span>
  </li>
  <li>
   <span>
    Experience building and maintaining dashboards in Looker Studio or similar BI tools
   </span>
  </li>
  <li>
   <span>
    Strong understanding of event-driven data instrumentation and how analytics contracts should be defined alongside product features
   </span>
  </li>
  <li>
   <span>
    Track record of optimizing data warehouse costs and query performance
   </span>
  </li>
  <li>
   <span>
    Comfort working directly with engineering teams to define data requirements and instrumentation standards
    <br/>
    <br/>
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <strong>
    Nice to Haves
   </strong>
  </strong>
 </p>
 <ul>
  <li>
   <span>
    Experience with GCP data services beyond BigQuery (Cloud Dataflow, Pub/Sub, Cloud Functions)
   </span>
  </li>
  <li>
   <span>
    Familiarity with TypeScript or Kotlin
   </span>
  </li>
  <li>
   <span>
    Experience building or contributing to customer-facing analytics features within a product
   </span>
  </li>
  <li>
   <span>
    Prior work with streaming or real-time data architectures
   </span>
  </li>
  <li>
   <span>
    Experience implementing data quality testing frameworks (e.g., dbt tests, Great Expectations, or similar)
   </span>
  </li>
  <li>
   <span>
    Familiarity with data governance practices, including documentation, lineage tracking, and access controls
   </span>
  </li>
  <li>
   <span>
    Experience working at a fast-growing startup where you owned the data stack end to end
    <br/>
    <br/>
   </span>
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   <strong>
    Location
   </strong>
  </strong>
 </p>
 <p>
  <span>
   New York City
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <br/>
  <br/>
 </p>
 <p>
  <u>
   <strong>
    <strong>
     Compensation &amp; Location
    </strong>
   </strong>
  </u>
 </p>
 <p>
  <span>
   Compensation for this role is location-based and benchmarked against local market data aligned to the employee&rsquo;s primary work location. Total compensation includes a mix of cash and equity and may vary by location, role level, and experience. Our range is therefore wide and not meant as&nbsp;a negotiation range.&nbsp;
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   <strong>
    <strong>
     Our Vision
    </strong>
   </strong>
  </u>
 </p>
 <p>
  <span>
   Calling a business shouldn&rsquo;t feel like a robot-hostage situation, where you&rsquo;re forced to listen to horrible music and can't reach a human, while enduring a soulless voice uttering "I'm sorry I didn't quite get that" on repeat for eternity. (shudder)&nbsp;
  </span>
  <em>
   That&rsquo;s why we started&nbsp;
  </em>
  <em>
   Slang
  </em>
  <em>
   AI&nbsp;
  </em>
  <span>
   We use the latest AI and audio wizardry to make transacting via voice so enjoyable it&rsquo;s more human than human. By 2030, we will save businesses and consumers 1 billion minutes of precious time while transforming voice channels into the preferred mode of communication (it's faster and easier than text).
  </span>
 </p>
 <p>
  <span>
   We have backgrounds building product at companies like Spotify, Buzzfeed, the New York Times, and OpenTable &mdash;shipping experiences that have reached hundreds of millions of users. Now, we&rsquo;re using our backgrounds to start a new culture, one that puts product and human-centered design above all else while fostering constant learning and growth. Sound like something you&rsquo;d like to be part of? Get on board.
  </span>
 </p>
 <p>
  <br/>
 </p>
 <p>
  <u>
   <strong>
    <strong>
     Our Values&nbsp;
    </strong>
   </strong>
  </u>
 </p>
 <p>
  <strong>
   <strong>
    Overachiever Fever.
   </strong>
  </strong>
  <span>
   &nbsp;We&rsquo;re overachievers (we don&rsquo;t know any other way)
  </span>
 </p>
 <p>
  <strong>
   <strong>
    Learner Fervor.&nbsp;
   </strong>
  </strong>
  <span>
   We take every opportunity to learn (especially when it&rsquo;s hard)&nbsp;
  </span>
 </p>
 <p>
  <strong>
   <strong>
    Humility Ability.
   </strong>
  </strong>
  <span>
   &nbsp;We approach each other with curiosity and openness (know-it-alls not welcome!)
  </span>
 </p>
 <p>
  <strong>
   <strong>
    SMB MVP.&nbsp;
   </strong>
  </strong>
  <span>
   We&rsquo;re an expert member of our customers&rsquo; teams (we earn their trust)
   <br/>
  </span>
 </p>
</div>


Explore 108+ Database engineer in New York this April. Find roles across top companies and apply now to boost your career.

108 database engineer jobs In New York

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