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Looker Developer Jobs in New York (NOW HIRING)

Stash

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

Build Looker explores/views and documentation so analysts and PMs can answer questions without ... Work with Data Engineering on upstream contracts and ingestion quality; with Data Science on ...

Verizon

Principal Data Science Engineer

Basking Ridge, NJ · On-site

$118K - $141K/yr

Experience in Looker & Qlik or similar visual analysis tool, optimization, analytics and large data ... Experience with the programming language SQL. * Experience in designing, developing and ...

Stellent IT LLC

UX Designer

New York, NY · On-site

They MUST have strong experience with Looker Studio.*** Additional Notes: Needs to redesign current ... Work closely with developers to ensure the successful implementation of designs. * Stay up-to-date ...

Peloton

Data Engineering Manager

New York, NY · On-site +1

ABOUT THE ROLE Peloton is looking for a talented Data Engineering Manager to join the Data ... Serve as an operational owner for key data platforms, including Airflow, Airbyte, and Looker ...

Yieldstreet

Senior Data Engineer

Manhattan, NY · On-site

$116K - $158K/yr

... Looker • Dagster • Docker Company : YieldStreet is an investment platform providing access to private market assets like real estate, credit, and alternative investments. Founded in 2015, the ...

Spruce Technology Inc.

Cloud Programmer

Manhattan, NY · On-site

Experience with Looker reporting and LookML. * Experience designing and deploying cloud-native applications. * Familiarity with Agile development methodologies and DevOps practices. Technical Skills:

Current

Director, Analytics Engineering

New York, NY · On-site

$270K - $330K/yr

DIRECTOR, ANALYTICS ENGINEERING Current is a leading consumer fintech platform transforming ... Extensive experience building scalable data models and reporting layers in Looker (LookML) or ...

Current

Director, Analytics Engineering

New York, NY

$270K - $330K/yr

DIRECTOR, ANALYTICS ENGINEERING Current is a leading consumer fintech platform transforming ... Extensive experience building scalable data models and reporting layers in Looker (LookML) or ...

Cerebras

Director, Analytics Engineering

Manhattan, NY · On-site

$270 - $330/hr

DIRECTOR, ANALYTICS ENGINEERING Current is a leading consumer fintech platform transforming ... Extensive experience building scalable data models and reporting layers in Looker (LookML) or ...

SmartIPlace

Site Reliability Engineer (SRE)

Parsippany, NJ · On-site

$57.25 - $76.25/hr

Familiarity with Google BI and AI/ML tools a plus (Looker, BigQuery ML, Vertex AI, etc.) Experience ... Google Cloud Professional DevOps Engineer Google Cloud Professional Cloud Architect Red Hat ...

Ironclad

Senior Analytics Engineer

New York, NY · On-site

$147K - $184K/yr

Standardize metrics across our BI tools to drive seamless self-service analytics in Looker and high ... AI Context Engineering: Architect "AI-ready" data by designing enriched metadata and context guides ...

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Looker Developer information

See New York salary details

$50.8K

$147K

$219.2K

How much do looker developer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for looker developer in New York is $146,978.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,726.00 and $184,216.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Looker Developers, and how can they be successfully managed?

Looker Developers often encounter challenges such as transforming complex business requirements into efficient Looker dashboards, ensuring data accuracy, and managing evolving datasets. Staying updated with the latest Looker features and best practices for LookML can help address technical hurdles, while proactive communication with business users is key to clarifying requirements. Collaboration with data engineers and analysts is typically necessary when troubleshooting data quality or modeling issues. By maintaining an organized workflow and seeking ongoing training, Looker Developers can navigate these obstacles and deliver valuable analytics solutions.

What is a Looker Developer?

A Looker Developer is a data professional responsible for designing, developing, and optimizing data models, dashboards, and reports using Looker, a business intelligence (BI) and data visualization tool. They work closely with data analysts, engineers, and business stakeholders to translate data into actionable insights. Their tasks often include writing LookML, optimizing SQL queries, and ensuring data accuracy and performance. Looker Developers help organizations make data-driven decisions by creating user-friendly visualizations and scalable data solutions.

What are the key skills and qualifications needed to thrive as a Looker Developer?

To thrive as a Looker Developer, you need expertise in data modeling, SQL, business intelligence concepts, and experience with the Looker platform. Familiarity with tools like LookML, version control systems, and possibly certifications such as Looker Business Analyst or Developer are highly valued. Strong problem-solving abilities, clear communication, and a collaborative mindset are important soft skills in this role. These skills are crucial to effectively transform raw data into actionable insights and support decision-making for diverse business stakeholders.

What are the most commonly searched types of Looker Developer jobs in New York? The most popular types of Looker Developer jobs in New York are:
What are popular job titles related to Looker Developer jobs in New York? For Looker Developer jobs in New York, the most frequently searched job titles are:
What job categories do people searching Looker Developer jobs in New York look for? The top searched job categories for Looker Developer jobs in New York are:
Looker Developer jobs near you
Infographic showing various Looker Developer job openings in New York as of August 2026, with employment types broken down into 78% Full Time, 7% Part Time, 1% Temporary, and 14% Contract. Highlights an 80% Physical, 6% Hybrid, and 14% Remote job distribution, with an average salary of $146,978 per year, or $70.7 per hour.

Senior Analytics Engineer

Stash

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, PTO

Posted 5 days ago

Job description

Want to help everyday Americans invest and build wealth? Financial inequality is increasing, and too many people are getting left behind. At Stash, we're passionate about democratizing wealth creation through education, advice, and products that help customers achieve greater financial freedom. We also believe in working smarter-leveraging AI and emerging technologies to move faster, operate more efficiently, and focus our time on solving meaningful problems for our customers.
We're looking for a Senior Analytics Engineer (Technical Level 4) to own and evolve the analytics foundation that powers Stash-our dbt-powered data mart, Looker semantic layer, and the quality systems that keep daily numbers trustworthy for Product, Growth, Finance, and Data Science.
You'll sit at the intersection of data engineering and data science: production-grade SQL modeling, testing and freshness, clear metric definitions, and close partnership with stakeholders who depend on self-serve data. Company bets (quality growth, Financial Advice, tier packaging, OKR visibility) all run through the mart-if models break, definitions drift, or sources go stale, the business loses trust. Your job is to make that trust durable.
This position operates on a hybrid schedule, requiring you to be on-site in our New York office at leastthree days per week to work with stakeholders andfoster team collaboration.
What you'll do:
  • Own core mart domains end-to-end: Design, build, and maintain production dbt models (bronze → silver → gold patterns in our data mart) for high-priority domains such as subscriptions, promotions/attribution, acquisition, and product usage.
  • Raise reliability and quality: Drive down recurring dbt test failures; add meaningful tests; document exceptions; partner on freshness SLAs and alerting so stale or wrong data is caught before Looker, OKRs, or DS models.
  • Keep Eng and the mart aligned: Partner with Backend / Product Engineering on instrumentation and schema changes (e.g., service migrations). Reconcile parity, get stakeholder sign-off, and cut over without silent metric breaks.
  • Enable Data Science and self-serve: Turn DS modeling requests into governed mart objects (grains, definitions, consumers). Build Looker explores/views and documentation so analysts and PMs can answer questions without waiting on a ticket for every pull.
  • Improve ops and performance: Contribute to mart job reliability (retries for transient failures, clear ownership of non-retryable logic failures). Profile and refactor high-cost models when reliability work is on track.
  • Partner across Data: Work with Data Engineering on upstream contracts and ingestion quality; with Data Science on measurement-ready datasets; with stakeholders on metric definitions that stick.
  • Raise the bar for the team: Mentor peers, review PRs for modeling and test quality, and use AI coding assistants productively while owning correctness-especially around financial and customer data.

What we're looking for:
  • Experience: 5+ years in analytics engineering, data engineering (analytics-focused), or closely adjacent roles building production analytical data models. Evidence of Senior / L4-equivalent ownership of critical reporting domains.
  • dbt & SQL craft: Advanced SQL and production-grade dimensional / mart modeling. Deep dbt experience (models, tests, sources, docs, incremental strategies, performance tradeoffs)-not "I've written a few models."
  • Warehouse experience: Hands-on with a modern cloud warehouse (Redshift, dbt, DataFold). Comfort debugging joins, grains, late-arriving data, and cost/runtime.
  • BI / semantic layer: Experience exposing trusted metrics in Looker and caring about naming, descriptions, and explore usability.
  • Quality mindset: You've owned data quality incidents-root cause, stakeholder communication, and durable fixes (tests, contracts, runbooks)-not just hotfixes.
  • Collaboration: Strong partnership with engineers, data scientists, and business stakeholders; able to negotiate definitions and push back when a request would create an unmaintainable model.
  • Programming: Solid Python for analysis, tooling, and light automation; Git/PR workflows are second nature.
  • Education: Bachelor's in a quantitative or technical field, or equivalent experience.
  • AI fluency: Proven hands-on use of AI tools (e.g. Cursor, ChatGPT) in daily workflows, with strong judgment-validating outputs, adhering to Stash guidelines for sensitive data, and owning the quality of AI-assisted work.

Gold Stars:
  • Experience in fintech, subscriptions, or regulated environments (PCI / SOC 2 awareness).
  • Mixpanel / Segment (or similar) event modeling experience.
  • Prior work enabling ML / DS feature tables or experiment assignment grains in the warehouse.
  • Mentorship or informal tech-lead experience on an AE / DE squad.
  • Familiarity with CI/CD on Github actions.

#LI-Hybrid
Our Commitment to Diversity, Equity, and Inclusion
We proudly celebrate the unique qualities that make you you, 365 days a year, and not just because it's the right thing to do or good for business. We embed the principles and practices of diversity, equity, and inclusion (DEI) into all that we do to prioritize people, a Stash core value, and to ensure Stashers of all backgrounds and experiences can be their authentic selves.
We are also proud to be the first and only venture-backed fintech to join the CEO Action for Diversity & Inclusion™, and as an Equal Opportunity Employer, Stash is committed to building an inclusive environment for people of all backgrounds.
If you require any reasonable accommodations to make your application process more accessible, please reach out to recruiting@Stash.com.
Helping You Invest in Yourself
  • Comprehensive total rewards package, comprising compensation (salary and equity) and health care benefits
  • Complimentary subscription to Stash+ account
  • Flexible work policy - We offer a flexible work environment that blends working from home with in-person collaboration at our NYC office to support productivity and team culture.
  • Flexible PTO
  • Annual learning and development reimbursement benefit
  • Work-from-home equipment stipends; home internet subsidy
  • Paid Parental Leave (offerings for birth giving and non-birth giving parents) Primary & Secondary
  • Enhanced health and wellness benefits through One Medical, Gympass, and Maven Health

External Recognition for Stash
  • Benzinga's 2023 Best Brokerage for Beginners and Best Robo-Advisor Awards
  • Qorus-Accenture's 2023 Banking Innovation Awards
  • USA Today and Statista's 2023 Top 500 Best Financial Advisory Firms
  • Comparably's Best Company Awards: Best Places to Work, Best Company Outlook, and Best Engineering Team for Diversity, Women, Culture, and more! (2023)
  • Fintech Breakthrough Award: Best Personal Finance App (2023)
  • BuiltIn's Best Places to Work (2022, 2021, 2020, 2019)
  • Forbes Fintech 50 (2021, 2020, 2019)
  • Best Digital Bank, Finovate Awards (2020)
  • Tearsheet Challenge Awards, Best Banking Card Product - Stock-Back® Card, 2020
  • LendIt Fintech Innovator of the Year (2020, 2019)

Salary Range: $150,000 - $180,000
The base salary range represents the reasonably anticipated low and high end of the salary range for this position. Actual salaries will vary and will be based on various factors, such as the candidate's qualifications, skills, experience and competencies, as well as internal equity and alignment with market data for companies of our size and industry.
**No recruiters, please**

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