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Contract Data Engineering Jobs in Atlanta, GA (NOW HIRING)

Data Engineer

Atlanta, GA ยท On-site

$110K - $132K/yr

Berkeley Heights, NJ/Atlanta, GA (Hybrid) Duration: 6 months Contract to hire role Note : Need ... Qualifications * 8+ years of experience in data engineering with at least 3 years spent building ...

Alpharetta, GA (Onsite - 5 Days/Week) Duration: Long-Term Contract Domain: BFSI experience is ... This role requires someone who can bridge the gap between Data Engineering, Infrastructure ...

Data Engineer

Atlanta, GA ยท On-site

$77K - $176K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... as well as contract-specific affordability and organizational requirements. The projected ...

... data engineering activities on some of the most mission-driven projects in the industry.You ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Atlanta, GA ยท On-site

$77K - $176K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Atlanta, GA ยท On-site

$77K - $176K/yr

... data engineering activities on some of the most mission-driven projects in the industry. You'll ... as well as contract-specific affordability and organizational requirements. The projected ...

... data engineering or AI/ML workflows may be considered in lieu of a degree Experience Level Expert Level Job Type & Location This is a Contract position based out of Atlanta, GA. Pay and Benefits The ...

Data Engineer

Atlanta, GA ยท On-site

$77K - $176K/yr

Experience with Agile engineering practices Vetting: Applicants selected will be subject to a ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Atlanta, GA ยท On-site

$77K - $176K/yr

Experience with Agile engineering practices Vetting: Applicants selected will be subject to a ... as well as contract-specific affordability and organizational requirements. The projected ...

Experience with Agile engineering practices Vetting: Applicants selected will be subject to a ... as well as contract-specific affordability and organizational requirements. The projected ...

... data engineering or AI/ML workflows may be considered in lieu of a degree Experience Level Expert Level Job Type & Location This is a Contract position based out of Atlanta, GA. Pay and Benefits The ...

Data & ML Engineer

Alpharetta, GA ยท On-site

$111K - $134K/yr

Follow engineering standards for code quality, CI/CD, documentation, security, and operational ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

Data & ML Engineer

Alpharetta, GA

$111K - $134K/yr

Follow engineering standards for code quality, CI/CD, documentation, security, and operational ... This is a full-time, direct-hire position, and no contract options for unsolicited agency ...

Data Engineer

Atlanta, GA ยท On-site

$77K - $176K/yr

Experience with Agile engineering practices Vetting: Applicants selected will be subject to a ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Engineer

Atlanta, GA ยท On-site

$87K - $157K/yr

Leidos is seeking a Data Engineer to support the National Healthcare Safety Network (NHSN) support contract on a strategic modernization initiative to migrate SAS datasets, ETL processes, and ...

Showing results 21-40

Contract Data Engineering information

See Atlanta, GA salary details

$42.8K

$124.7K

$170.7K

How much do contract data engineering jobs pay per year?

As of Aug 7, 2026, the average yearly pay for contract data engineering in Atlanta, GA is $124,743.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 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.
What are the most commonly searched types of Data Engineering jobs in Atlanta, GA? The most popular types of Data Engineering jobs in Atlanta, GA are:
What are popular job titles related to Contract Data Engineering jobs in Atlanta, GA? For Contract Data Engineering jobs in Atlanta, GA, the most frequently searched job titles are:
What job categories do people searching Contract Data Engineering jobs in Atlanta, GA look for? The top searched job categories for Contract Data Engineering jobs in Atlanta, GA are:
What cities near Atlanta, GA are hiring for Contract Data Engineering jobs? Cities near Atlanta, GA with the most Contract Data Engineering job openings:
Infographic showing various Contract Data Engineering job openings in Atlanta, GA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

$101K - $138K/yr

Full-time

Re-posted 25 days ago


Job description

Overview
Job Purpose
We're seeking a talented Senior Data Engineer to join our Enterprise Architecture team in a cross-cutting role that will help define and implement our next-generation data platform. In this pivotal position, you'll lead the design and implementation of scalable, self-service data pipelines with a strong emphasis on data quality and governance. This is an opportunity to shape our data engineering practice from the ground up, working directly with key stakeholders to build mission-critical ML and AI data workflows.
We emphasize building systems that are maintainable, scalable, and focused on enabling self-service data access while maintaining high standards for data quality and governance. The ideal candidate is a problem-solver who enjoys working on complex data systems and is passionate about data quality. You thrive in collaborative environments but can also work independently to deliver solutions. You're comfortable working directly with technical and non-technical stakeholders and can communicate complex technical concepts clearly. Most importantly, you're excited about creating systems that empower others to work with data efficiently and confidently.
Responsibilities
  • Design, build, and maintain our on-premises data orchestration platform using the best-in-breed open-source tools
  • Create self-service capabilities that empower teams across the organization to build and deploy data pipelines without extensive engineering support
  • Implement robust data quality testing frameworks that ensure data integrity throughout the entire data lifecycle
  • Establish data engineering best practices, including version control, CI/CD for data pipelines, and automated testing
  • Collaborate with ML/AI teams to build scalable feature engineering pipelines that support both batch and real-time data processing
  • Develop reusable patterns for common data integration scenarios that can be leveraged across the organization
  • Work closely with infrastructure teams to optimize our Kubernetes-based data platform for performance and reliability
  • Mentor junior engineers and advocate for engineering excellence in data practices

Knowledge and Experience
  • 5+ years of professional experience in data engineering, with at least 2 years working on enterprise-scale data platforms
  • Demonstrated experience with orchestrating workflows, performance optimization, and operational management
  • Strong understanding of data transformation techniques, including experience with testing frameworks and deployment strategies
  • Experience with stream processing frameworks and technologies
  • Proficiency with SQL and Python for data transformation and pipeline development
  • Familiarity with containerized application deployment
  • Experience implementing data quality frameworks and automated testing for data pipelines
  • Ability to work cross-functionally with data scientists, ML engineers, and business stakeholders

Preferred Knowledge and Experience
  • Experience with self-hosted data orchestration platforms (rather than managed services)
  • Background in implementing data contracts or schema governance
  • Knowledge of ML/AI data pipeline requirements and feature engineering
  • Experience leveraging AI tools (e.g., GitHub Copilot, Cursor, Claude Code) to debug, develop unit tests and generate test cases from requirements documents
  • Experience with real-time data processing and streaming architectures
  • Familiarity with data modeling and warehouse design principles
  • Prior experience in a technical leadership role

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.