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Contract Data Engineering Jobs (NOW HIRING)

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 ...

QXO

Data Engineering Lead

East Rutherford, NJ

$168K - $210K/yr

We are looking for a Data Engineering Lead to design, build, and operate scalable, cloudnative data ... Data access controls, data contracts, schema enforcement, governancebydesign Nice to Have:

Rubicon

Senior Director of Data

Atlanta, GA · On-site

... engineering roles, with 3+ years leading teams or major programs required. Salesforce data experience preferred. * Order-to-cash, billing, or contract data domain experience is a plus. * Hands-on ...

New

Rubicon Global

Senior Director of Data

Atlanta, GA · On-site

... engineering roles, with 3+ years leading teams or major programs required. Salesforce data experience preferred. * Order-to-cash, billing, or contract data domain experience is a plus. * Hands-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 ...

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 ...

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

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$44.5K

$129.7K

$177.5K

How much do contract data engineering jobs pay per year?

As of Jul 18, 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.

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.
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 July 2026, with employment types broken down into 1% As Needed, 62% Full Time, 19% Part Time, 1% Temporary, and 17% Contract. Highlights an 80% Physical, 2% Hybrid, and 18% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.
Manager of Data Engineering

Manager of Data Engineering

InVita Healthcare Technologies

Baltimore, MD • On-site

$140K - $160K/yr

Full-time

Posted 17 hours ago

Job description

About InVita Healthcare Technologies
InVita Healthcare Technologies is a leading software provider for complex medical, forensics, and community care environments. We build specialized, highly configurable, and integrated systems that support hospitals, blood centers, donation organizations, public health labs, and forensic labs. InVita is the clear leader in the blood, implant, organ procurement, DNA, and Forensic software markets. Our software solutions have built-in compliance safeguards that streamline processes and enable quick and efficient information exchange with better decision making. For more information about our software solutions, please visit invitahealth.com.
Job Title:Manager of Data Engineering
Department:Development
Reporting to: VP of Program Management and Integration Services
Location: Baltimore, MD. This is a hybrid role with 3-days per week required to be worked in the Baltimore, MD office.
Hours of work: Typical hours of work are from 8:30 AM until 5:30 PM local time Monday through Friday. Flexibility of Working Hours dependent on location. Additional hours may be necessary as needed. This position is exempt from overtime.
Compensation: $140,000 - $160,000 annually.
Who we are:
InVita develops specialized medical software for regulated industries that support the advancement of public health and safety. We are the acknowledged leader in the markets we serve. Our subject matter expertise is unmatched in the industry and our products are used by public health and medical professionals across the globe. We have employees spanning across the US and two main offices (Baltimore & Los Angeles).
Overview:
The Manager of Data Engineering is responsible for leading a team of data engineers to build and optimize data pipelines, design scalable systems for data storage and processing, and ensure data-driven decision-making across the organization. This strategic role encompasses project management, team leadership, client-facing technical consultation and close collaboration with other departments to fulfill the company's data needs and business goals.
Essential Functions:
  • Team Leadership: Manage and mentor data engineers, setting clear goals and expectations, and fostering a collaborative and innovative work environment.
  • Strategic Project Management: Oversee the planning, execution, and success of complex data engineering projects. Collaborate with cross-departmental team members to understand their data requirements and deliver timely solutions.
  • Hands-on Technical Oversight: Ensure the architecture and ongoing health of data pipelines, databases, and storage solutions, maintaining data integrity, scalability, efficiency, and availability.
  • Agentic Workflows & ETL Automation: Spearhead the integration of AI agents and LLM-driven workflows to automate complex data investigation, mapping, and ETL processes, optimizing how unstructured and structured data is ingested.
  • Client-Facing Data Strategy: Act as a technical liaison, directly engaging with clients to investigate their data architecture and address data migration or integration concerns. Translate client needs into precise, actionable technical requirements and ensure clear communication of deliverables throughout the project lifecycle.]

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field; Master's preferred.
  • At least 5 years of proven experience in data engineering, including a minimum of 2 years in a leadership role.
  • Expertise in database technologies (e.g., MySQL, PostgreSQL, SQL Server) and familiarity with cloud data platforms (AWS, Azure, Google Cloud). Experience with computer programming, particularly in PHP, is preferred.
  • Strong experience with data modeling, data warehousing, and ETL processes.
  • Hands-on experience deploying and orchestrating agentic workflows (e.g., utilizing LLMs, specialized agents, or similar frameworks) for automated data investigation, extraction, and transformation.
  • Demonstrated ability to lead, inspire, and mentor a team of technical professionals.
  • Proven customer-facing experience with excellent communication and interpersonal skills; highly capable of investigating client environments and articulating complex data-related concepts to both technical and non-technical external stakeholders.

This job description in no way states or implies that these are the only duties to be performed by the employee(s) incumbent in this position. Employee(s) will be required to follow any other job-related instructions and perform any other job-related duties requested by any person authorized to give instructions or assignments.
This document does not create an employment contract, implied or otherwise, other than an "at-will" relationship.
InVita provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
The pay range for this role is:
140,000 - 160,000 USD per year (Maryland)

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