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Contract Dbt Sql Jobs (NOW HIRING)

Stash

Senior Analytics Engineer

New York, NY · On-site

$114K - $157K/yr

Advanced SQL and production-grade dimensional / mart modeling. Deep dbt experience (models, tests ... contracts, runbooks)-not just hotfixes. * Collaboration: Strong partnership with engineers, data ...

Inroads

Senior Associate, Analytics

Washington, DC · On-site +1

... contract which ensures millions of Americans have the information they need to get access to ... Create SQL-based data models in dbt. This includes working with data engineers, data scientists ...

Inroads

Senior Associate, Analytics

OR · On-site +1

... contract which ensures millions of Americans have the information they need to get access to ... Create SQL-based data models in dbt. This includes working with data engineers, data scientists ...

Vaco LLC

Data Engineer

Nashville, TN · On-site

$105/hr

Nashville (Remote) Job Type: Full-Time Contract Pay Rate: $105/hour Why This Role Is Open This role ... expertise in Databricks, dbt, SQL, and healthcare data. This individual will help build and ...

Acunor Infotech

Sr.Data Engineer -- PYspark,SQL

Erie, PA · On-site

$111K - $133K/yr

Contract Experience: 10 15 Years Job Summary We are seeking a Senior Full-Stack Data Engineer with ... Experience with Talend, dbt Core, Iceberg, AWS Glue Catalog . * Experience with Snowflake, Redshift ...

New

Jimdo GmbH

$80 - $120/hr

Build and maintain scalable data pipelines, transformations, and reporting models using dbt, SQL ... Exposure to data governance, data contracts, and compliance frameworks. * Experience using AI ...

FastTek

Data Analyst

Okemos, MI

We are seeking an Analytics Engineer (contract) to support development of scalable analytics pipelines and dashboards using Snowflake, dbt, SQL, and Tableau. * The analyst will work across the full ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance ... IBM's DataStage, SQL, SAS, Python; moving to Python, DBT, SQL, Power BI) * Experience with CI/CD ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance ... IBM's DataStage, SQL, SAS, Python; moving to Python, DBT, SQL, Power BI) * Experience with CI/CD ...

System One

Data Engineer

Fairfield, OH · Remote

$55 - $60/hr

Contract To Hire Compensation: $55-60 Work Model: Remote - offsite Hours: 40.0 Security Clearance ... IBM's DataStage, SQL, SAS, Python; moving to Python, DBT, SQL, Power BI) * Experience with CI/CD ...

MegazoneCloud

Senior Data Engineer - GCP

Rochester, NY · On-site

$145K - $165K/yr

Hands-on experience with a SQL transformation framework - Dataform or dbt. * Deep expertise in ... Data governance and catalog work - glossary, policy tags, lineage, data contracts. * Cross-platform ...

Radix Software, Inc

Data Engineer

Scottsdale, AZ · On-site

$120 - $180/hr

Build and maintain robust dbt models, testing frameworks, documentation, schema contracts, and ... Deep expertise with Databricks (or similar modern data platforms), dbt, SQL, Python, and scalable ...

Mixpeek

$83 - $165/hr

This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the ... Turn hand-built SQL into tested, scheduled dbt models -- starting with finance's views, so monthly ...

Comfy

Contract Analytics Engineer

San Francisco, CA · On-site

$165 - $248/hr

This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the ... Turn hand-built SQL into tested, scheduled dbt models -- starting with finance's views, so monthly ...

Mixpeek

Contract Analytics Engineer

San Francisco, CA · On-site

$83 - $165/hr

This is a hands-on contract role with real authority. You'll own the dbt project day to day, be the ... Turn hand-built SQL into tested, scheduled dbt models -- starting with finance's views, so monthly ...

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How much do contract dbt sql jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for contract dbt sql in the United States is $52.60, according to ZipRecruiter salary data. Most workers in this role earn between $43.51 and $59.62 per hour, depending on experience, location, and employer.

What is a contract dbt sql professional?

Contract DBT SQL professionals are data specialists hired on a contractual basis to design, build, and maintain data transformation workflows using DBT (Data Build Tool) and SQL. They help organizations organize, clean, and transform raw data into reliable datasets for analytics and business intelligence purposes. Their responsibilities often include developing data models, writing complex SQL queries, implementing testing protocols, and ensuring data quality. These experts are typically engaged for specific projects or to fill temporary skill gaps within data teams. Contract DBT SQL professionals must have strong SQL skills, familiarity with data warehousing concepts, and hands-on experience with DBT.

What are some common challenges faced by contract dbt sql professionals when joining a new project?

Contract DBT SQL professionals often encounter challenges such as quickly understanding the existing data infrastructure, adapting to varied coding standards, and integrating with established teams. Since contract roles usually require fast onboarding, you may need to familiarize yourself with unfamiliar data sources and business logic on a tight timeline. Effective communication and proactive documentation are key to navigating these transitions and ensuring your work aligns with project goals.

What are the key skills and qualifications needed to thrive as a contract dbt sql developer, and why are they important?

To thrive as a Contract DBT SQL Developer, you need strong SQL expertise, experience with data modeling, and proficiency in dbt (data build tool), often supported by a background in computer science or data engineering. Familiarity with cloud data warehouses (such as Snowflake, BigQuery, or Redshift), version control systems like Git, and dbt Cloud or CLI usage is typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills help you understand business requirements and deliver accurate data solutions. These skills ensure reliable data pipelines, maintainable analytics workflows, and successful collaboration within data-driven teams.

What is the difference between Contract Dbt Sql vs Data Analyst?

AspectContract Dbt SqlData Analyst
Required SkillsSQL, dbt, data modeling, ETL processesSQL, data visualization, reporting, data interpretation
Work EnvironmentProject-based, remote or on-site, technical teamsBusiness units, cross-functional teams, often office-based
CertificationsSQL certifications, dbt certifications beneficialData analysis certifications (e.g., Microsoft, Tableau)

Contract Dbt Sql professionals focus on building data pipelines and transformations using dbt and SQL, often in technical environments. Data Analysts interpret data, create reports, and support business decisions. While both roles require SQL skills, Contract Dbt Sql roles are more technical and development-oriented, whereas Data Analysts focus on analysis and visualization.

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Contract Dbt Sql jobs near you
Infographic showing various Contract Dbt Sql job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 89% Full Time, 2% Part Time, and 8% Contract. Highlights an 78% Physical, 6% Hybrid, and 16% Remote job distribution, with an average salary of $109,407 per year, or $52.6 per hour.

Senior Analytics Engineer

Stash

New York, NY • On-site

$114K - $157K/yr

Full-time

Medical, PTO

Re-posted yesterday

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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