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Contract Data Engineering Jobs (NOW HIRING)

Data Engineer

Cupertino, CA · Hybrid

$52 - $67/hr

... engineering and infrastructure responsibilities • Solid understanding of data modeling, warehousing, and big data ecosystems • MS or equivalent experience preferred Type: Contract Duration: 12 ...

Data Engineering Vice President

Brentwood, TN · On-site

$170K - $219K/yr

Maintain full accountability for department budget, vendor relationships, and platform contracts What You'll Bring * Bachelor's degree required; Master's degree in Computer Science, Data Engineering ...

... 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 ...

Data Engineer

San Francisco, CA

$134K - $162K/yr

... contract - JD Summary: 10+ years of experience in Data Engineering, Integrations, Data Modeling, Data Profiling, Data Quality, Orchestration Hands on expert experience in the AWS Data Engineering ...

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

... 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 ...

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Showing results 1-20

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 Jun 8, 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, 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.
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:
Infographic showing various Contract Data Engineering job openings in the United States as of May 2026, with employment types broken down into 68% Full Time, 27% Part Time, and 5% 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

Contractor

Posted 6 days ago


Job description

Title: Sr. Manager Data Engineering
Location: REMOTE
Job Type: Contract
Rate: $Open/hr.
Requirements
Job Summary:
  • Data engineering/architect role with demonstrable experience in data integration and data warehouse projects.
  • Experience developing and configuring data pipelines, testing and enable activation based on prioritized business use cases
  • Experience defining data sets and strategies
  • GCP/BigQuery expertise
  • Snowflake on Azure experience is desired
  • Strong experience working on Informatica ETL
  • Data modeling expertise

Nice to have:
  • Experience in working with source systems
  • Python scripting experience
  • Experience with reporting tools like Tableau and Business Objects

Benefits
Note: If interested please send your updated resume to joseph.prabakar@two95intl.com and include your salary requirement along with your contact details with a suitable time when we can reach you. If you know of anyone in your sphere of contacts, who would be a perfect match for this job then, we would appreciate if you can forward this posting to them with a copy to us.
We look forward to hearing from you at the earliest!

TWO95 International logo

About TWO95 International

Sourced by ZipRecruiter

At TWO95 International, we believe it is imperative that a hiring company is assured of procuring the right candidate to fill a job requirement. We have an extensive local and International network, and a fully digitalized sourcing approach that allows us to find a candidate best suited for the job. Furthermore, we strive to secure well matched opportunities that align with the personal and career aspirations of our candidates.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Cherry Hill, NJ, US

Year founded

2009

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