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Contract Databricks Developer Jobs in Seattle, WA

Sr. Counsel, Product

Bellevue, WA · On-site

$197K - $272K/yr

... Databricks' engineering and product management teams as we navigate rapidly evolving global laws ... contracts, including those in DPAs and BAAs. * Provide general legal support on a flexible, as ...

New

Job Title MLOps Engineer to work on AWS GovCloud Databricks Projected Start Date05-09-2025 Projected End Date10-31-2025 Position Type Contract Location : Bellevue, WA Remote Work100% Primary ...

Data Engineer

Bellevue, WA · On-site

$129K - $155K/yr

Contract to Hire * Design build and maintain robust scalable and efficient data pipelines using ... Handson experience with Azure data services ADF Synapse Databricks ADLS and Azure DevOps * Deep ...

Data Engineer

Redmond, WA · On-site

$128K - $154K/yr

Contract * Design, develop, and maintain scalable data pipelines using Azure Data Factory, PySpark ... Databricks. * Work with large-scale data lake and data warehouse solutions using Azure Synapse ...

Data platforms (Databricks, Snowflake, etc.) integration, grounding and context patterns that fully ... Partner across the organization to drive agreement on interface contracts, especially around MCP ...

Data Engineer

Bellevue, WA · On-site

$128K - $154K/yr

... contracts, models, and transformations sometimes independently and sometimes as specified by the Senior Data Engineer. • Builds pipelines in Snowflake (including Iceberg tables) and/or Databricks ...

New

Senior AI Engineer - Privacy

Bellevue, WA · On-site

$117K - $162K/yr

Contract Must Have Skills: * 7 yrs of exp - AI Engineer - Privacy * 7 yrs of exp - Azure Data Factory, Azure , GitLab * 5 yrs of exp - Databricks, Snowflake Description: * The Senior AI Engineer ...

Data Engineer

Seattle, WA · On-site

$130K - $156K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

Data platforms (Databricks, Snowflake, etc.) integration, grounding and context patterns that fully ... Partner across the organization to drive agreement on interface contracts, especially around MCP ...

Data Engineer

Seattle, WA

$130K - $156K/yr

Build and support API-first data services, data contracts, and integration workflows using REST ... Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar ...

... Long Term Contract Interviews: There will be 3 round of interviews and there will be coding ... Spark), Databricks, NoSQL DB & RDBMS, NonFunctional & Automation test, GIT, ADO/Jenkins, CICD ...

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Contract Databricks Developer information

See Seattle, WA salary details

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$69

$90

How much do contract databricks developer jobs pay per hour?

As of Jul 8, 2026, the average hourly pay for contract databricks developer in Seattle, WA is $69.98, according to ZipRecruiter salary data. Most workers in this role earn between $62.93 and $77.40 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are some common challenges faced by Contract Databricks Developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer, and why are they important?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.
What are the most commonly searched types of Databricks Developer jobs in Seattle, WA? The most popular types of Databricks Developer jobs in Seattle, WA are:
What are popular job titles related to Contract Databricks Developer jobs in Seattle, WA? For Contract Databricks Developer jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Contract Databricks Developer jobs in Seattle, WA look for? The top searched job categories for Contract Databricks Developer jobs in Seattle, WA are:
Infographic showing various Contract Databricks Developer job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 63% Full Time, 20% Part Time, 1% Temporary, and 15% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $145,555 per year, or $70 per hour.
Sr. Counsel, Product

Sr. Counsel, Product

Databricks

Bellevue, WA • On-site

$197K - $272K/yr

Full-time

Posted 3 days ago

New


Job description

GAQ427R191
Databricks is seeking a Senior Product Counsel to help the Databricks legal team provide cutting-edge, practical legal advice to Databricks' engineering and product management teams as we navigate rapidly evolving global laws and regulations in big data, including data privacy, data protection, and AI. This role will report to the Assistant General Counsel, Product.
The impact you will have:
  • Demonstrate expertise in product counseling, data protection laws, marketing, and technology transactions, as well as the capacity to be a generalist and learn new areas of law and legal skills quickly.
  • Exercise keen business and legal judgment. You know when to say "yes", "no, unless ...", and "no", but you also know when to escalate concerns.
  • Contribute to developing processes to improve our product counseling function.
  • Provide end-to-end product counseling - from ideation to end of life.
  • Partner with teams across Databricks and close external partners that are building, deploying, and operating technology for external and internal users.
  • Work cross-functionally with the commercialization, product marketing, marketing, and communications teams to bring our transformative offerings to market.
  • Collaborate with other legal leaders in commercial, go-to-market, compliance, corporate, and public affairs with respect to product issues.
  • Deeply understand product and data risk issues to be able to hear and answer questions that aren't asked and translate technical and security concerns into answers understandable to non-technical lawyers.
  • Assist your product stakeholders in developing process improvements.
  • Draft and update form agreements regarding products and services, and negotiate product and security-related changes to customer contracts, including those in DPAs and BAAs.
  • Provide general legal support on a flexible, as-needed basis with respect to other areas of the business.
  • Work with potential vendors to understand data flows to determine privacy and data protection risk, and coordinate with the privacy legal team as appropriate.
  • Advise on cybersecurity issues as a member of incident response teams.
  • Contribute as a team player to further the legal department's reputation as an effective, respected, and valued resource within the company.

What we look for:
  • 6+ years of relevant legal experience at a top law firm and/or in-house (a combination of both is a plus), with a minimum of 2 years focused experience in product, privacy, and/or IP law
  • Experience with AI, FedRAMP requirements, or payments a plus
  • Experience working for a company offering platform services to business customers is a plus
  • Deep understanding of cloud and software technology, and a strong desire to work on legal issues in these areas
  • Technical background -- either an engineering or hard science academic background, demonstrated ability to acquire deep product understanding, or significant life experience as a general technology nerd
  • State bar membership required
  • Ability to prioritize and manage time, and client expectations, in the face of competing demands, often without direct guidance as we scale our rapidly expanding business
  • Comfortable working with distributed teams
  • Ability to exercise good judgment in raising issues and when collaborating with others
  • Outstanding written and verbal communication skills

Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
Zone 2 Pay Range
$197,800-$272,050 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 - rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
BenefitsAt Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.