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Contract Databricks Developer Jobs in Seattle, WA

Sparq

Senior Client Executive

Seattle, WA · On-site +1

$170K - $220K/yr

We're a modern product engineering partner blending strategy, craftsmanship, and speed to help ... contracts are smart, fair, and favorable. * Cross-Functional Alignment: Collaborate with revenue ...

Sensor Tower

Technical Product Manager

Seattle, WA · On-site

$190K - $219K/yr

You can define a data contract or integrate existing services with an MCP server. You have ... Win buy-in for your proposals across Product, Engineering, Data Science and Business teams.

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Seattle, WA

Contract Databricks Developer information

See Seattle, WA salary details

$23

$69

$90

How much do contract databricks developer jobs pay per hour?

As of Sep 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 the key skills and qualifications needed to thrive as a Contract Databricks Developer?

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 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 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:

Contract Databricks Developer jobs near you
Infographic showing various Contract Databricks Developer job openings in Seattle, WA as of September 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution, with an average salary of $145,555 per year, or $70 per hour.

Program Manager IV IT Analytics Transformation

Lynnwood, WA • Remote

Globenet Consulting Corp
See more jobs at Globenet Consulting Corpexternal

$60 - $70/hr

Full-time

Re-posted 19 days ago

Job description

Program Manager IV – IT Analytics Transformation
Location: Alpharetta, Georgia, or Remote within the United States

Let’s Create Our Future Together at The AES Group
The AES Group is a technology and engineering consulting company with more than 20 years of experience connecting leading organizations with exceptional talent and innovative solutions.
Why Join This Opportunity?
  • Lead a high-visibility enterprise analytics transformation program
  • Partner with executive sponsors and senior business leaders
  • Drive adoption of AI-enabled contract intelligence and analytics
  • Manage technology, data, legal, and operational workstreams
  • Influence improvements in pricing intelligence and operational efficiency
  • Work remotely within the United States or from Alpharetta, Georgia
Position Overview
The AES Group Inc. is seeking an experienced Program Manager IV to lead a strategic analytics transformation initiative for one of our enterprise clients.
This program will convert complex contract data into actionable business intelligence through data engineering, artificial intelligence, document intelligence, analytics, and enterprise system integrations.
The selected professional will manage the full program lifecycle, including planning, execution, governance, budgeting, stakeholder engagement, risk management, and organizational change.

Key Responsibilities
  • Lead end-to-end delivery of a complex enterprise analytics transformation program.
  • Develop integrated program plans, roadmaps, milestones, dependencies, and critical paths.
  • Manage scope, schedule, budget, risks, issues, assumptions, and decision logs.
  • Establish governance frameworks, executive reporting, and steering committee communications.
  • Coordinate technology, analytics, legal, operations, business, and vendor workstreams.
  • Partner with executive sponsors, senior leaders, technology teams, and external providers.
  • Facilitate executive presentations, workshops, status reviews, and decision-making sessions.
  • Gather, prioritize, document, and manage business requirements.
  • Lead delivery of contract analytics, AI-enabled document analysis, pricing analytics, dashboards, and reporting.
  • Oversee enterprise data repositories, Salesforce data enrichment, system integrations, and data platforms.
  • Manage program budgets, forecasts, resources, vendors, contractors, and benefit tracking.
  • Develop change-management, training, communication, deployment, and adoption strategies.
  • Define success metrics and drive sustained adoption of analytics capabilities.
Required Qualifications
  • Bachelor’s degree in Business, Information Technology, Engineering, Data Analytics, or a related field; equivalent experience may be considered.
  • At least 7 years of program or project management experience.
  • At least 5 years leading enterprise technology, analytics, data modernization, or digital transformation programs.
  • Experience managing large-scale programs with executive visibility.
  • Strong background leading cross-functional business and technology teams.
  • Expertise in governance, risk management, financial forecasting, and dependency management.
  • Experience managing budgets, vendors, contractors, and distributed teams.
  • Strong executive communication, presentation, negotiation, and stakeholder-management skills.
Preferred Qualifications
  • PMP, PgMP, Agile, Scrum, or equivalent certification.
  • Experience with Databricks, Salesforce, or enterprise business intelligence platforms.
  • Experience delivering AI, machine learning, data engineering, or modernization initiatives.
  • Knowledge of contract analytics, legal technology, document intelligence, or pricing analytics.
  • Experience leading enterprise integrations and organizational change programs.
Ready to make an impact? Apply now and join us on our journey!

This is a remote position.