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Contract Data Engineering Jobs (NOW HIRING)

Dropbox

Senior Manager, Data Engineering

$202K - $274K/yr

Strong data modeling fundamentals and the ability to design a semantic layer and data contracts ... AI-Forward Engineering: Experience integrating AI coding tools and LLM-based tooling into the ...

CoreWeave

Staff Data Engineer - Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Establish durable data contracts, system boundaries, and reusable engineering patterns across teams. * Identify and resolve systemic performance, reliability, and scalability constraints across the ...

7-Eleven

Senior Manager, Data Engineering

Irving, TX · On-site

... contracts. * Partner with Data Platform, Governance, and Quality teams to ensure every pipeline ... Mentor engineers, technical leads, and managers, and coach offshore engineering teams on ...

7-ELEVEN

Senior Manager, Data Engineering

Irving, TX · On-site

... contracts. * Partner with Data Platform, Governance, and Quality teams to ensure every pipeline ... Mentor engineers, technical leads, and managers, and coach offshore engineering teams on ...

ACCLiiVE

Azure Data Engr

Houston, TX · On-site

$52.50 - $65.25/hr

Houston Duration : Long term contract Job Overview : Design and Build the integration jobs that move data from existing SoR applications into and throughout the Microsoft Cloud environment (Data Lake ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Implement standardized data contracts, define SLAs, establish data certification processes, and automate manual quality processes. * Work with planning scientists, software engineers, BI engineers ...

Amazon

Data Engineer II , UTR Data Engineering

Bellevue, WA · On-site

$129K - $155K/yr

Implement standardized data contracts, define SLAs, establish data certification processes, and automate manual quality processes. * Work with planning scientists, software engineers, BI engineers ...

Changeis

Data Engineer

$117K - $140K/yr

If you have experience in data engineering, ETL development, or related fields, and you're interested in exciting contract roles with competitive pay and benefits, we'd love to connect with you! By ...

Apex Informatics

Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Contract to hire Duration: 12+ Months Location: Jersey City, NJ, and Columbus, OH - Hybrid 3 Days in Office. As a Data Engineer: We are looking for an exceptional candidate that shares our passion ...

HarbourVest

Vice President, Data Engineering

Boston, MA · Hybrid

$245K - $275K/yr

Ensure data engineering capabilities are tightly integrated with application data needs, including trusted data supply, clear data contracts, reliable pipelines, and production-ready consumption ...

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All JobsContract Data Engineering Jobs

Contract Data Engineering information

See salary details

$44.5K

$129.7K

$177.5K

How much do contract data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for contract data engineering in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

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 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.

What are the key skills and qualifications needed to thrive as a contract data engineer?

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.
More about Contract Data Engineering jobs
What cities are hiring for Contract Data Engineering jobs? Cities with the most Contract Data Engineering job openings:
What are the most commonly searched types of Data Engineering jobs? The most popular types of Data Engineering jobs are:
What states have the most Contract Data Engineering jobs? States with the most job openings for Contract Data Engineering jobs include:
What job categories do people searching Contract Data Engineering jobs look for? The top searched job categories for Contract Data Engineering jobs are:
Contract Data Engineering jobs near you
Infographic showing various Contract Data Engineering job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Manager, Data Engineering

Dropbox

Remote

$202K - $274K/yr

Full-time

Posted 7 days ago

Job description

Role Description
We are seeking a Senior Manager, Data Engineering to lead the team responsible for the reliability, quality, cost, and velocity of Dropbox's core data platform. This is a hands-on engineering leader who owns the pipelines and data products that Product, GTM, Finance, and the CTO organization depend on to make decisions.
In this role, you will lead and grow a team of data engineers building and operating our ingestion, transformation, orchestration, and serving layers, as well as the self-serve analytics substrate that lets partner teams answer their own questions without bespoke engineering work.
The ideal candidate is a deeply technical, product-minded engineering leader who can hold a high bar on system reliability and data quality while partnering closely with Data Science, Business Intelligence Engineering, Analytics, and Product to turn fragmented, ticket-driven data work into durable, reusable data products.
Responsibilities
  • Data Quality & Observability: Establish and enforce a rigorous data quality culture: lineage, freshness monitoring, anomaly detection, and outcome-oriented, gaming-resistant quality metrics.
  • Self-Serve Platform: Lead the engineering of the self-serve analytics substrate, reducing bespoke request volume and increasing partner-team autonomy.
  • Cost & Efficiency: Own the unit economics of the data platform - compute and storage efficiency - and drive measurable improvements without sacrificing reliability.
  • Cross-Functional Partnership: Partner deeply with Data Science, BIE, Analytics, Product, Data Platform, and the CTO org to define the semantic layer, modeling standards, and data contracts that make downstream work trustworthy and fast.
  • Engineering Culture: Establish rigorous engineering practices - code review, testing, CI/CD for data, incident response, and postmortems - and champion the effective, measured use of AI coding tools to improve engineering productivity.
  • Team Leadership: Lead, mentor, and grow a high-talent-density team of data engineers, fostering a culture of ownership, technical excellence, psychological safety, and continuous learning.
Requirements
  • 8+ years of data engineering or backend/data infrastructure experience with increasing scope, ideally in high-scale environments.
  • 3+ years of experience directly managing and growing engineering teams, including hiring, coaching, performance management, and team design.
  • Deep Technical Expertise: Proven track record building and operating large-scale batch and streaming pipelines (e.g., Spark, dbt, Airflow/orchestration) on a modern lakehouse or warehouse stack (e.g., Databricks, Snowflake, BigQuery).
  • Reliability & Quality: Demonstrated ownership of data SLAs, observability, lineage, and incident response for business-critical pipelines.
  • Systems & Modeling: Strong data modeling fundamentals and the ability to design a semantic layer and data contracts that serve many downstream consumers.
  • Stakeholder Management: Excellent communication and the ability to align engineering, data science, analytics, and business partners around shared reliability and quality goals.
Preferred Qualifications
  • Platform / Self-Serve Experience: Track record building self-serve data or analytics platforms that reduced bespoke request volume and increased partner autonomy.
  • AI-Forward Engineering: Experience integrating AI coding tools and LLM-based tooling into the engineering workflow, with a measured approach to impact and guardrails.
  • Cost Discipline: Demonstrated success improving compute/storage unit economics without regressing reliability.
  • Familiarity with modern data governance, privacy, and access-control practices.
  • Experience operating in a pod or embedded model serving multiple business partners.

Durable Skills
AI fluency means using these tools to amplify human judgment, not replace it. We believe people with these skills will thrive as work and technology continue to evolve:
  • Awareness: Understand yourself and others.
  • Judgment: Evaluate information and make decisions in complex situations.
  • Adaptability: Learn, adjust, and stay effective through change.
  • Connection: Communicate, collaborate, and build trust.

To learn more about why these skills matter and what the data shows about thriving through change, read this blog post from our Chief People Officer, Melanie Rosenwasser.
Compensation
US Zone 1
This role is not available in Zone 1
US Zone 2
$202,700-$274,300 USD
US Zone 3
$180,200-$243,800 USD

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