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Data Engineer Contract Jobs in Decatur, GA (NOW HIRING)

Ubertal Inc

Senior Data Engineer

Atlanta, GA · On-site

$101.90K - $138.50K/yr

Contract Start Date: November 17, 2025 End Date: June 30, 2026 Schedule: Full-time Job Overview We are seeking a skilled Senior Data Engineer to support the modernization of our data estate under ...

Solomon Page

Senior Data Engineer

Atlanta, GA · On-site

$45 - $55/hr

We are seeking a Senior Data Engineer with strong hands-on expertise in building and maintaining ... Contract Duration: 8+ Months * Rate Range- $45-55/hr on W2 * Only W2 Candidates, NO C2C ...

TriOptus LLC

Network/Data Engineer

Atlanta, GA · On-site

Job Code - Network/Data Engineer Work Location - Atlanta GA 30319 or Bridgeton MO 63044 Total Hours - 3 year contract Description * Project based work in a team environment * Cisco CCNA and/or ...

TriOptus LLC

Network/Data Engineer

Atlanta, GA · On-site

Job Title - Network/Data Engineer Work Locations - Atlanta G 30319, Bothell WA 98011 or Dallas TX 75202 Duration - 3 year contract TOP SKILLS NEEDED * Project based work in a team environment * Cisco ...

Kforce Technology Staffing

Senior Data Engineer

Atlanta, GA · On-site +1

$101.90K - $138.50K/yr

Kforce has a client seeking a remote Senior Data Engineer to join their team. Summary: This team is ... Hourly employees on a Service Contract Act project are eligible for paid sick leave. Note: Pay is ...

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Data Engineer Contract information

See Decatur, GA salary details

$43.4K

$126.6K

$173.3K

How much do data engineer contract jobs pay per year?

As of May 30, 2026, the average yearly pay for data engineer contract in Decatur, GA is $126,646.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,800.00 and $134,200.00 per year, depending on experience, location, and employer.

What is a Data Engineer Contract job?

A Data Engineer Contract job is a temporary or project-based role where a data engineer is hired for a specific duration to design, build, and maintain data pipelines and infrastructure. Contract data engineers often work with big data technologies, ETL processes, and cloud platforms to ensure data is efficiently processed and accessible. These roles can be short-term (a few months) or long-term (a year or more), depending on the project's needs. Contractors may work independently or as part of a larger data team, and they are typically paid hourly or per project rather than receiving a fixed salary and benefits like full-time employees.

What are the key skills and qualifications needed to thrive in the Data Engineer Contract position, and why are they important?

To thrive as a Data Engineer Contract, you need expertise in data modeling, ETL processes, and proficiency with programming languages such as Python or SQL, often supported by a degree in computer science or related field. Familiarity with big data platforms like Hadoop or Spark, experience with cloud services (AWS, GCP, or Azure), and certifications in relevant technologies are highly valued. Strong problem-solving skills, effective communication, and the ability to work independently are crucial soft skills. These abilities ensure data engineers can efficiently design scalable pipelines, troubleshoot issues, and collaborate across teams to support data-driven decision-making.

What are the typical daily responsibilities of a Data Engineer on a contract basis?

As a Data Engineer contractor, your day-to-day tasks often include designing, building, and maintaining data pipelines, implementing ETL processes, and preparing datasets for analytics or machine learning teams. You may be asked to collaborate with data scientists, analysts, and other engineers to understand data requirements and resolve technical issues. Contractors also frequently assess data quality, optimize performance, and document their work for seamless team integration. The role is fast-paced and may require you to quickly adapt to new projects or technologies, making it ideal for those who enjoy dynamic, project-based environments.
More about Data Engineer Contract jobs
What are the most commonly searched types of Data Engineer jobs in Decatur, GA? The most popular types of Data Engineer jobs in Decatur, GA are:
What are popular job titles related to Data Engineer Contract jobs in Decatur, GA? For Data Engineer Contract jobs in Decatur, GA, the most frequently searched job titles are:
What job categories do people searching Data Engineer Contract jobs in Decatur, GA look for? The top searched job categories for Data Engineer Contract jobs in Decatur, GA are:
What cities near Decatur, GA are hiring for Data Engineer Contract jobs? Cities near Decatur, GA with the most Data Engineer Contract job openings:
Data Engineer Contract jobs near you
Infographic showing various Data Engineer Contract job openings in Decatur, GA as of May 2026, with employment types broken down into 100% Contract. Highlights an 100% Remote job distribution, with an average salary of $126,646 per year, or $60.9 per hour.
Senior Data Engineer

Senior Data Engineer

Ubertal Inc

Atlanta, GA • On-site

$101.90K - $138.50K/yr

Contractor

Posted 18 days ago

Job description

Senior Data Engineer

Location: Atlanta, GA (Hybrid – Onsite Tuesday–Thursday, per manager's discretion)
Job Type: Contract
Start Date: November 17, 2025
End Date: June 30, 2026
Schedule: Full-time

Job Overview

We are seeking a skilled Senior Data Engineer to support the modernization of our data estate under broad supervision. This role combines technical expertise in database administration with hands-on contributions to data pipeline development, legacy system migrations, and scalable data solutions using modern Microsoft and Azure technologies. The position works on high-complexity projects, providing technical support to development teams while ensuring efficient, secure, and compliant data management.

Key Responsibilities

  • Assist in designing, building, and maintaining ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks.

  • Support the migration and maintenance of SSIS packages from legacy systems.

  • Implement medallion architecture (Bronze, Silver, Gold) to manage data lifecycle and ensure quality.

  • Create and manage notebooks (Fabric Notebooks, Databricks) for data transformation using Python, SQL, and Spark.

  • Build curated datasets to support Power BI dashboards and reporting needs.

  • Collaborate with data analysts, business stakeholders, and teams to deliver fit-for-purpose data assets.

  • Apply data governance policies using tools like Microsoft Purview or Unity Catalog.

  • Support monitoring, logging, and CI/CD automation through Azure DevOps.

Technical Stack

  • Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake)

  • Azure Databricks

  • SQL Server / SQL Managed Instances

  • Power BI

  • SSIS (for migration and maintenance)

  • LangGraph and RAG DB (for advanced workflows)

Required Qualifications

  • Bachelor's degree in Computer Science, Information Systems, or related field.

  • 3–5 years of experience in data engineering or related roles.

  • Proficiency in SQL, Python, and Spark.

  • Familiarity with LangGraph and RAG DB concepts.

  • Understanding of ETL/ELT pipelines and data warehousing concepts.

  • Must be physically located in Georgia and available for mandatory in-person meetings (All Hands, Enterprise Applications).

Preferred Qualifications

  • Knowledge of CI/CD automation with Azure DevOps.

  • Familiarity with data governance tools such as Microsoft Purview or Unity Catalog.

  • Experience with SSIS package migration and maintenance.

Additional Details

  • Interview: Webcam or in-person.

  • Engagement is contingent upon funding renewal; must start within 2 weeks of selection.

  • All absences over two weeks require advance approval.