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Contract Data Engineering Jobs (NOW HIRING)

Senior Data Engineer

Livingston, NJ · On-site

$182K - $242K/yr

The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines ...

The Data Engineering team at Albertsons is looking for people who are excited about reimagining the ... contracts, and domain ownership -- while overseeing feature stores, vector databases, and RAG ...

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 ...

... company strategy into data contracts and platform investments * Lead audits of existing ... Backend engineering experience (ideally in JS/TS) with sufficient depth to effectively evaluate ...

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 ...

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 ...

Project Manager IV IT

Alpharetta, GA · On-site

$54.50 - $72.25/hr

This role will oversee the successful delivery of a cross-functional analytics transformation program involving data engineering, AI, analytics, contract intelligence, and enterprise system ...

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 ...

Software Engineer, Data Engineering

San Francisco, CA · On-site +1

$134K - $162K/yr

This role supports Core Engineering needs within the organization and builds on top of existing ... Ensure data quality, contracts and integrity with best practices around access, governance, and ...

Showing results 41-60

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 26, 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 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.

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.

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:

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, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Senior Data Engineer

CoreWeave

Livingston, NJ • On-site

$182K - $242K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago


CoreWeave rating

9.8

Company rating: 9.8 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 225 rated it services


Job description

CoreWeave is The Essential Cloud for AI™. Built for pioneers by pioneers, CoreWeave delivers a platform of technology, tools, and teams that enables innovators to build and scale AI with confidence. Trusted by leading AI labs, startups, and global enterprises, CoreWeave combines superior infrastructure performance with deep technical expertise to accelerate breakthroughs and turn compute into capability. Founded in 2017, CoreWeave became a publicly traded company (Nasdaq: CRWV) in March 2025. Learn more at www.coreweave.com.
What You'll Do:
The Data Engineering Team builds and operates the foundational data infrastructure powering analytics, AI, and operational decision-making across CoreWeave. We design resilient data pipelines, scalable lakehouse systems, and high-quality datasets that enable teams across Finance, HR, Operations, and Engineering to move faster and make smarter decisions. Our mission is to make CoreWeave's data reliable, accessible, and actionable at scale.
About the role:
We're seeking a Senior Data Engineer to design and build the foundational datasets that power analytics, business intelligence, and AI across CoreWeave. You will own the development of dimensional data models, enterprise metrics, and curated data products that enable analysts, data scientists, and business stakeholders to answer complex questions with confidence. Day-to-day, you'll partner closely with business domains and analytics teams to translate operational processes into scalable data models while ensuring performance, quality, and consistency across the data ecosystem. This role combines deep data modeling expertise with strong software engineering skills across our modern lakehouse platform.
Who You Are:
  • Bachelor's degree in Computer Science, Information Systems, or a related field (or equivalent experience)
  • 5+ years of experience designing and building analytical data models in enterprise data warehouse or lakehouse environments.
  • Expertise in at least one programming language such as Python, Scala, or Rust, with experience building production-grade data systems.
  • Advanced SQL skills with demonstrated experience developing, optimizing, and troubleshooting complex analytical workloads.
  • Hands-on experience building and operating distributed data processing systems using Spark, Flink, or similar technologies.
  • Experience working with modern lakehouse architectures and analytical technologies such as Iceberg, Delta, StarRocks, Clickhouse, or Trino.
  • Deep expertise applying dimensional modeling techniques to scaled OLAP workloads.
  • Strong experience building curated datasets, semantic models, and enterprise metrics that support business intelligence, advanced analytics, and AI use cases.
Preferred:
  • Experience operating event-driven architectures using Kafka, AutoMQ, Pulsar, or similar streaming platforms
  • Experience operating data-intensive workloads on Kubernetes
  • Experience in high-growth technology or infrastructure-focused organizations

Wondering if you're a good fit? We believe in investing in our people, and value candidates who can bring their own diversified experiences to our teams - even if you aren't a 100% skill or experience match. Here are a few qualities we've found compatible with our team. If some of this describes you, we'd love to talk.
  • You love building data products with the same rigor applied to production software
  • You're curious about emerging technologies in streaming, lakehouse, and AI-powered analytics
  • You're an expert at designing scalable systems for processing and serving data
Why CoreWeave?
At CoreWeave, we work hard, have fun, and move fast! We're in an exciting stage of hyper-growth that you will not want to miss out on. We're not afraid of a little chaos, and we're constantly learning. Our team cares deeply about how we build our product and how we work together, which is represented through our core values:
  • Be Curious at Your Core
  • Act Like an Owner
  • Empower Employees
  • Deliver Best-in-Class Client Experiences
  • Achieve More Together

We support and encourage an entrepreneurial outlook and independent thinking. We foster an environment that encourages collaboration and provides the opportunity to develop innovative solutions to complex problems. As we get set for take off, the growth opportunities within the organization are constantly expanding. You will be surrounded by some of the best talent in the industry, who will want to learn from you, too. Come join us!
The base salary range for this role is $182,000 to $242,000. The starting salary will be determined based on job-related knowledge, skills, experience, and market location. We strive for both market alignment and internal equity when determining compensation. In addition to base salary, our total rewards package includes a discretionary bonus, equity awards, and a comprehensive benefits program (all based on eligibility).
What We Offer
The range we've posted represents the typical compensation range for this role. To determine actual compensation, we review the market rate for each candidate which can include a variety of factors. These include qualifications, experience, interview performance, and location.
In addition to a competitive salary, we offer a variety of benefits to support your needs. The benefits below reflect our US-based offerings for full-time employees; for roles in other locations, benefits vary and are shared during the hiring process. These include:
  • Medical, dental, and vision insurance - 100% paid for by CoreWeave
  • Company-paid Life Insurance
  • Voluntary supplemental life insurance
  • Short and long-term disability insurance
  • Flexible Spending Account
  • Health Savings Account
  • Tuition Reimbursement
  • Ability to Participate in Employee Stock Purchase Program (ESPP)
  • Mental Wellness Benefits through Spring Health
  • Family-Forming support provided by Carrot
  • Paid Parental Leave
  • Flexible, full-service childcare support with Kinside
  • 401(k) with a generous employer match
  • Flexible PTO
  • Catered lunch each day in our office and data center locations
  • A casual work environment
  • A work culture focused on innovative disruption

California Applicants
California Consumer Privacy Act
Equal Opportunity & Accommodations
CoreWeave is an equal opportunity employer, committed to fostering an inclusive and supportive workplace. All qualified applicants and candidates will receive consideration for employment without regard to race, color, religion, sex, disability, age, sexual orientation, gender identity, national origin, veteran status, or genetic information.
As part of this commitment and consistent with the Americans with Disabilities Act (ADA), CoreWeave will ensure that qualified applicants and candidates with disabilities are provided reasonable accommodations for the hiring process, unless such accommodation would cause an undue hardship. If reasonable accommodation is needed, please contact: careers@coreweave.com.
Export Control Compliance
This position requires access to export controlled information. To conform to U.S. Government export regulations applicable to that information, applicant must either be (A) a U.S. person, defined as a (i) U.S. citizen or national, (ii) U.S. lawful permanent resident (green card holder), (iii) refugee under 8 U.S.C. § 1157, or (iv) asylee under 8 U.S.C. § 1158, (B) eligible to access the export controlled information without a required export authorization, or (C) eligible and reasonably likely to obtain the required export authorization from the applicable U.S. government agency. CoreWeave may, for legitimate business reasons, decline to pursue any export licensing process.

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