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Contract Data Engineering Jobs in Bothell, WA (NOW HIRING)

Data Engineer - Seattle, WA

Seattle, WA

$130K - $156K/yr

You'll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial ... establishing clear data contracts, documentation, and semantic layers. ● Build use cases ...

... contracts. At DAT Outgo, we're changing that. We're building an intelligent fintech platform from ... Our seasoned engineering team brings deep experience from both successful startups and leading ...

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

... Contract (On W2) Need a Strong candidate with Big data and Kafka Provide thought leadership for the MFS data platform team and collaborate with cross-functional engineering teams to streamline or ...

Big Data developer

Redmond, WA · On-site

$59.25 - $77/hr

... Contract (On W2) Need a Strong candidate with Big data and Kafka • Provide thought leadership for the MFS data platform team and collaborate with cross-functional engineering teams to streamline or ...

... contracts, and accelerating proof-of-concept use cases across engineering, manufacturing, and supply chain. This position is hybrid. The selected candidate will be required to perform some work ...

... contracts, and accelerating proof-of-concept use cases across engineering, manufacturing, and supply chain. This position is hybrid. The selected candidate will be required to perform some work ...

... contracts, and accelerating proof-of-concept use cases across engineering, manufacturing, and supply chain. This position is hybrid. The selected candidate will be required to perform some work ...

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Showing results 1-20

Contract Data Engineering information

See Bothell, WA salary details

$49.7K

$145K

$198.4K

How much do contract data engineering jobs pay per year?

As of Jul 9, 2026, the average yearly pay for contract data engineering in Bothell, WA is $145,008.00, according to ZipRecruiter salary data. Most workers in this role earn between $128,000.00 and $153,700.00 per year, depending on experience, location, and employer.

Are data engineers still in demand?

Data engineers are currently in high demand due to the increasing reliance on data-driven decision making and the growth of big data technologies. Organizations seek professionals skilled in tools like SQL, Python, and cloud platforms to build and maintain data pipelines, making the role essential across many industries.

What is the difference between Contract Data Engineering vs Data Analyst?

AspectContract Data EngineeringData Analyst
Required SkillsSQL, Python, ETL, cloud platforms, data pipeline developmentSQL, Excel, data visualization, reporting tools
Work EnvironmentProject-based, technical teams, cloud or on-premises infrastructureBusiness units, reporting teams, often in office or remote
Industry UsageTech, finance, healthcare, retailMarketing, finance, healthcare, retail

Contract Data Engineers focus on building and maintaining data pipelines and infrastructure, requiring technical skills in programming and cloud platforms. Data Analysts interpret data, create reports, and visualize insights, often using different tools. While both roles work with data, Contract Data Engineering is more technical and infrastructure-oriented, whereas Data Analysts focus on data interpretation and business insights.

What engineers make $500,000?

Senior data engineers, especially those with extensive experience, specialized skills in cloud platforms, and expertise in big data tools, can earn $500,000 or more annually. High compensation is often associated with leadership roles, contract positions, or working in competitive industries like finance or technology. Achieving this level typically requires advanced certifications, a strong track record, and often working in high-cost-of-living areas or on high-stakes projects.

What is contract data engineering?

Contract data engineering refers to hiring data engineers on a temporary or project basis, rather than as full-time employees. Contract data engineers are responsible for designing, building, and maintaining data pipelines, databases, and other infrastructure to support data analytics and business needs. Companies often hire contract data engineers to handle specific projects, scale up teams quickly, or bring in specialized skills for a limited time. This arrangement offers flexibility for both the company and the engineer, and is common in industries with fluctuating data workloads or short-term projects.

Can a data engineer make 200k?

Senior data engineers with extensive experience, specialized skills in tools like Spark or cloud platforms, and working in high-cost-of-living areas can earn salaries of $200,000 or more. Compensation varies based on location, industry, and company size, with some roles offering bonuses and stock options that contribute to total earnings.

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

To thrive as a Contract Data Engineer, you need strong proficiency in data modeling, ETL processes, and programming languages such as Python or SQL, often supported by a degree in computer science or a related field. Familiarity with big data platforms (e.g., Hadoop, Spark), cloud services (AWS, Azure, GCP), and relevant certifications like Google Cloud Professional Data Engineer are typically required. Excellent problem-solving, adaptability, and effective communication are crucial soft skills in this role. These competencies enable efficient project delivery, seamless collaboration with stakeholders, and the ability to quickly adapt to new technical environments and client requirements.

What are some common challenges faced by contract data engineers and how can they be addressed?

Contract data engineers often face the challenge of quickly familiarizing themselves with a company's existing data infrastructure and processes. Since contracts are typically short-term, there is limited time to onboard, understand unique data pipelines, and build relationships with stakeholders. To address this, successful contract data engineers proactively communicate with team members, document their work thoroughly, and leverage their prior experience with a variety of tools and platforms. Flexibility and strong problem-solving skills are essential for adapting to new environments and delivering results efficiently.

What engineers make 300,000 a year?

Senior data engineers, especially those with extensive experience, advanced skills in cloud platforms, and expertise in big data tools like Spark and Hadoop, can earn $300,000 or more annually. High compensation is often associated with working in large organizations, in-demand industries, or holding leadership roles such as lead or principal data engineer.
What are the most commonly searched types of Data Engineering jobs in Bothell, WA? The most popular types of Data Engineering jobs in Bothell, WA are:
What are popular job titles related to Contract Data Engineering jobs in Bothell, WA? For Contract Data Engineering jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Bothell, WA look for? The top searched job categories for Contract Data Engineering jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Contract Data Engineering jobs? Cities near Bothell, WA with the most Contract Data Engineering job openings:
Infographic showing various Contract Data Engineering job openings in Bothell, WA as of July 2026, with employment types broken down into 1% As Needed, 61% Full Time, 23% Part Time, 1% Temporary, and 14% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $145,008 per year, or $69.7 per hour.

Data Engineer - Seattle, WA

Nscale

Seattle, WA

$130K - $156K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Job description

About Nscale

Nscale is the GPU cloud engineered for AI. We provide cost-effective, high-performance infrastructure for AI start-ups and large enterprise customers.  Nscale enables AI-focused companies to achieve superior results by reducing the complexity of AI development. Our GPU cloud bolsters technical capabilities and directly supports strategic business outcomes, including cost management, rapid innovation, and environmental responsibility.

We thrive on a culture of relentless innovation, ownership, and accountability, where every team member takes pride in their work and drives it with excellence and urgency. As an Nscaler, you’ll build trust through openness and transparency, where everyone is inspired to do their best work. If you join our team, you’ll be contributing to building the technology that powers the future.

About the Role (Job Purpose)

We’re looking for a Data Engineer to help design, build, and operate the data foundations that underpin Nscale’s platform, internal operations, and customer-facing capabilities.

This is a high-impact, early-stage role. You’ll work closely with Operations, Infrastructure, Platform Engineering, Product, and Commercial teams to turn raw operational signals — from GPUs, clusters, customers, and internal systems — into reliable, scalable data products that ensure delivery at a previously unseen pace. You’ll help define how data is collected, modelled, served, and trusted across the company, and have the opportunity to build on Palantir Foundry, as well as other products.

This role is ideal for someone who enjoys building data systems from first principles, thrives in ambiguous environments, and wants to see their work directly influence product decisions, platform reliability, and customer outcomes.

What You’ll be Doing (Responsibilities)

Data Platform & Architecture

●     Design and build scalable, reliable data pipelines that ingest data from infrastructure, platform services, and business systems.

●     Define data models and schemas that support operational workflows and use cases across the business, monitoring, and analytics.

●     Clean, transform and structure the data to create a digital twin of Nscale.

●     Implement permissioning and manage access and security of the Foundry implementation.

Data Products & Enablement

●     Create trusted datasets and metrics that power workflows and processes, internal tools, and customer-facing insights.

●     Enable self-serve analytics by establishing clear data contracts, documentation, and semantic layers.

●     Build use cases including but not limited to capacity planning, cost optimisation, reliability analysis, and customer reporting to drive our business forward.

●     Collaborate with Product and Commercial teams to translate real-world questions into robust data solutions.

Reliability, Quality & Governance

●     Implement data quality checks, monitoring, and alerting to ensure data correctness and availability.

●     Codify data lineage, freshness, and consistency across systems.

●     Establish best practices around data versioning, access control, and governance appropriate for a fast-scaling company.

●     Continuously improve system resilience and observability.

Early-Stage Ownership & Growth

●     Take end-to-end ownership of projects, from design through to production and iteration.

●     Help define standards, tooling, and ways of working for data at Nscale.

●     Contribute to technical decision-making as the company scales its platform and customer base.

●     Act as a thought partner to engineers and operators, not just a service function.

About You (Skills / Qualifications)

●     Deep, hands-on experience building in Palantir Foundry, including ontology modelling, pipeline development, API integration, and large-scale data platform design.

●     Strong proficiency in Python, with experience applying data engineering libraries and frameworks (e.g. Spark, PySpark, Dask, pandas) to work with large, complex datasets.

●     Familiarity with API-driven data integration, including REST, GraphQL, and Foundry Action APIs.

●     Practical experience working in Git-based development workflows, including code reviews, version control, and CI/CD pipelines.

●     Comfort working in ambiguous, early-stage environments where requirements evolve quickly.

●     Strong communication skills — able to explain data concepts clearly to technical and non-technical stakeholders.

●     A bias toward ownership, pragmatism, and shipping useful solutions.

Nice to Have

●     Experience with cloud platforms (AWS, GCP, Azure) and infrastructure telemetry.

●     Familiarity with distributed systems, monitoring data, or usage-based billing data.

●     Experience supporting customer-facing data products or platforms.

What We Can Offer You

At Nscale, you\'ll find a collaborative, supportive, and innovative environment where your contributions spark real impact. We\'re building something extraordinary, and we want you at the core.

●        Highly competitive package (base + equity) with reviews every 12 months.

●        Join the fastest-growing tech startup, your chance to push boundaries, collaborate with brilliant minds, and make your mark on cutting-edge AI. ✨

●        Expect a dynamic progression plan tailored to your ambitions. Grow by trying new things, leading, challenging the status quo, and owning your impact, always with our full support.

●        Human-First Flexibility: We treat you as humans first. Our flexible workplace trusts Nscalers to deliver, giving you the autonomy to shape your day around life\'s moments.

●        Join our thriving remote-first team. Geography is no barrier to impact or connection. We build seamless virtual collaboration, empowering you, wherever you work.

Interview Process

●        Phone screen

●        Coding interviews

●        Hiring Manager interview

Equal Opportunities Statement

We strongly encourage applications from people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from lower socio-economic backgrounds.

If there’s anything we can do to accommodate your specific situation, please let us know.

The responsibilities outlined in this job description are not exhaustive and are intended to provide a general overview of the position. The employee may be required to perform additional duties, tasks, and responsibilities as assigned by management, consistent with the skills and qualifications required for the role.

The range below reflects the base salary for the position. Actual compensation may vary based on job-related factors such as skill set, experience, education, and location. In addition to base salary, this role may be eligible for bonus, equity, and/or commission programs. Nscale may offer a competitive benefits package including medical, dental, vision, flexible paid time off, parental leave, and retirement plan participation.

Salary Range$130,000—$160,000 USD

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.