ZipRecruiter

Log In

1

Contract Looker Developer Jobs in Norwalk, CT (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 ...

Stash

Senior Analytics Engineer

New York, NY · Hybrid

$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 ...

Stellent IT LLC

UX Designer

New York, NY · On-site

UX Designer New York, New York(Hybrid) Phone+Skype Long Term Contract JD: I need someone with at ... They MUST have strong experience with Looker Studio.*** Additional Notes: Needs to redesign current ...

Current

Director, Analytics Engineering

New York, NY · On-site

$270K - $330K/yr

Extensive experience building scalable data models and reporting layers in Looker (LookML) or ... Familiarity with data mesh or data contract methodologies. * Experience working with and managing a ...

Current

Director, Analytics Engineering

New York, NY · On-site

$270K - $330K/yr

Extensive experience building scalable data models and reporting layers in Looker (LookML) or ... Familiarity with data mesh or data contract methodologies. * Experience working with and managing a ...

Saransh Inc

Snowflake Architect

New York, NY · On-site

$69.75 - $89.75/hr

Contract Experience Level: 10+ Years Job Summary: We are seeking a highly skilled Snowflake ... Collaborate with data engineers, analysts, and business stakeholders to define technical ...

IQVIA

Government Pricing SI/BPO Leader

New York, NY · On-site

Create reporting and alerting (Tableau/Power BI/Looker) for compliance KPIs, variance analysis, and ... Collaborate with engineering to optimize cloud data platforms (AWS/Azure/GCP), storage, and ...

IQVIA

Government Pricing SI/BPO Leader

New York, NY

Create reporting and alerting (Tableau/Power BI/Looker) for compliance KPIs, variance analysis, and ... Collaborate with engineering to optimize cloud data platforms (AWS/Azure/GCP), storage, and ...

Stash

Senior Data Scientist

New York, NY · Hybrid

Programming: Proficiency in Python and advanced SQL against large warehouses. * Business ... Experience with Looker , Mixpanel, and/or Hex (or similar BI / product analytics / notebook stacks)

Stash

Senior Data Scientist

New York, NY · On-site

Programming: Proficiency in Python and advanced SQL against large warehouses. * Business ... Experience with Looker , Mixpanel, and/or Hex (or similar BI / product analytics / notebook stacks)

Refuel Agency

SEM Consultant/Specialist

New York, NY · Remote

$1.5K - $5.0K/mo

Utilize Google Analytics, GA4, Looker Studio, and other reporting platforms to deliver actionable ... Work with developers and analytics teams to troubleshoot tracking issues. * Maintain campaign ...

next page

Showing results 1-20

All JobsContract Looker Developer JobsContract Looker Developer Jobs in Norwalk, CT

Contract Looker Developer information

See Norwalk, CT salary details

$18

$53

$78

How much do contract looker developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for contract looker developer in Norwalk, CT is $53.99, according to ZipRecruiter salary data. Most workers in this role earn between $44.13 and $61.78 per hour, depending on experience, location, and employer.

What is a contract Looker developer?

Contract Looker Developers are professionals hired on a temporary or project basis to design, develop, and optimize data analytics solutions using Looker, a business intelligence and data visualization platform. They work with organizations to create dashboards, data models, and reports that help visualize and analyze business data. Their responsibilities may also include integrating Looker with various data sources, writing LookML code, and ensuring data accuracy. Contract Looker Developers are typically brought in for specific projects, implementations, or to fill short-term skill gaps within a company.

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

To thrive as a Contract Looker Developer, you need strong expertise in SQL, data modeling, and business intelligence concepts, often backed by experience with data warehouses and analytics projects. Familiarity with Looker-specific tools like LookML, and experience with platforms such as BigQuery or Snowflake, are typically required, with Looker certifications considered a plus. Excellent problem-solving skills, attention to detail, and effective communication are vital for translating business requirements into actionable data insights. These skills ensure accurate data visualization, efficient project delivery, and effective collaboration with stakeholders.

What are some common challenges faced by contract Looker developers when working with diverse client datasets?

Contract Looker Developers often encounter challenges related to integrating and modeling disparate data sources, as clients may use a variety of databases and data formats. Ensuring data consistency, accuracy, and optimizing LookML models for complex business logic can be time-consuming, especially when onboarding to new projects quickly. Additionally, balancing client expectations with best practices in data visualization and security requires strong communication and adaptability. Collaborating closely with client data teams is essential for understanding unique data requirements and delivering actionable insights.

What is the difference between Contract Looker Developer vs Contract Data Analyst?

AspectContract Looker DeveloperContract Data Analyst
Required CredentialsExperience with Looker, SQL, data modelingSQL, Excel, data visualization tools
Work EnvironmentTech companies, consulting firms, remote or on-siteBusiness teams, finance, marketing, remote or on-site
Employer & Industry UsageData-driven organizations, SaaS, techCorporate, finance, marketing departments
Search & Comparison IntentFocus on Looker skills, data modelingBroader data analysis, reporting skills

The Contract Looker Developer specializes in building and maintaining data dashboards using Looker, with a focus on data modeling and SQL. In contrast, a Contract Data Analyst performs broader data analysis, reporting, and visualization across various tools. Both roles require strong SQL skills but differ in their specific tools and focus areas, making the Contract Looker Developer more specialized in Looker platform expertise.

What cities near Norwalk, CT are hiring for Contract Looker Developer jobs?

Cities near Norwalk, CT with the most Contract Looker Developer job openings:

Contract Looker Developer jobs near you

Senior Analytics Engineer

Stash

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, PTO

Re-posted 2 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**

Apply