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

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · On-site +1

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · Remote

$117K - $140K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer - GCP

Atlanta, GA · On-site

$110K - $132K/yr

Provide technical guidance and best practices to the data engineering and business teams ... This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or ...

Data Engineer 3

Atlanta, GA · On-site

$110K - $132K/yr

Atlanta/ Hybrid Client- Southern Co Gas Corp Contract- 1 Year Position Overview The Quality Assurance Data Engineer plays a critical role in validating the integrity, reliability, and performance of ...

Data Engineer III

Atlanta, GA · On-site

$110K - $132K/yr

Location - Atlanta, GA 30308 / Birmingham, AL 35203 Contract - 1 Year Client - Alabama Power Position Overview We are seeking an experienced Data Engineer (Level 3) to build, optimize, and maintain ...

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Data Analytics Engineer

Atlanta, GA · On-site

$50 - $55/hr

Immediate W2 contract position available in Atlanta, GA (Hybrid). * The position is listed as ... Data Engineering & Integration * * Design, build, and support enterprise data pipelines using ETL ...

Palantir Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will apply strong data engineering and software development practices to build ... as well as contract-specific affordability and organizational requirements. The projected ...

Palantir Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

The ideal candidate will apply strong data engineering and software development practices to build ... as well as contract-specific affordability and organizational requirements. The projected ...

Data Analytics Engineer

Atlanta, GA · On-site

$110K - $132K/yr

This is a long term contract and hybrid position based out of Atlanta, GA. Candidates must be ... Requirements * 3-7 years of experience in Data Engineering, Analytics Engineering, or Software ...

Palantir Data Engineer

Atlanta, GA · On-site +1

$110K - $132K/yr

The ideal candidate will apply strong data engineering and software development practices to build ... as well as contract-specific affordability and organizational requirements. The projected ...

Sr. Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Contract • Experience Required: 2-3 years Key Responsibilities • Assist in designing, building ... data engineering or related roles. • Proficiency in SQL, Python, Spark. • Familiarity with ...

Data Engineer

Atlanta, GA · On-site

$110K - $132K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness. * Instrument data pipelines for monitoring, alerting ...

Deep understanding of data engineering fundamentals, including data modeling, data contracts, metadata, lineage, governance, data quality, and batch/streaming architectures. * Experience integrating ...

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Showing results 1-20

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 11, 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, 11% Part Time, and 6% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $124,743 per year, or $60 per hour.

Data Engineer - GCP

The Data Sherpas

Atlanta, GA • On-site, Remote

$110K - $132K/yr

Full-time

Medical, Dental, Vision

Re-posted 2 days ago


Job description

Who We Are: 

We are a dynamic team focused on building innovative and scalable data solutions on Google Cloud Platform (GCP). Our Google Cloud Data Engineer will play a key role in designing, developing, and managing scalable data pipelines and data infrastructure, ensuring data availability, accuracy, and performance for business insights and machine learning models.


What We Are Looking For: 

We are seeking an experienced and highly skilled Google Cloud Data Engineer who will be responsible for developing and managing data pipelines on GCP. The ideal candidate will bring strong expertise in cloud-based data processing, big data technologies, and data modeling to help us provide high-performance data solutions.


Responsibilities:

Data Pipeline Development and Management:

  • Design, build, and maintain scalable and reliable data pipelines using Cloud Dataflow, Cloud Pub/Sub, and Cloud Composer.
  • Develop ETL/ELT processes to process and transform large volumes of structured and unstructured data.
  • Optimize data pipeline performance, scalability, and reliability.
  • Ensure data processing and ingestion workflows are monitored and meet performance SLAs.

Data Storage and Management:

  • Design and implement data storage solutions using BigQuery, Cloud Storage, and Firestore.
  • Optimize data structures and partitioning for performance and cost efficiency.
  • Ensure data security, integrity, and availability in all storage solutions.
  • Manage data lifecycle policies and archiving processes.

Data Transformation and Processing:

  • Develop data transformation processes using BigQuery, Apache Beam, and Cloud Functions.
  • Implement data quality checks, validation rules, and monitoring solutions.
  • Support real-time and batch data processing needs.

Data Integration and Automation:

  • Integrate data from multiple sources, including APIs, databases, and third-party applications.
  • Automate data ingestion, transformation, and export using tools like Cloud Composer and Cloud Functions.
  • Ensure data consistency across different environments and systems.

Collaboration and Stakeholder Engagement:

  • Work closely with data scientists and analysts to understand data needs and business goals.
  • Provide technical guidance and best practices to the data engineering and business teams.
  • Collaborate with security and compliance teams to ensure data governance standards are met.

Performance Monitoring and Troubleshooting:

  • Monitor data pipeline performance and troubleshoot issues in real-time.
  • Analyze data pipeline failures and implement fixes to prevent recurrence.
  • Set up logging and monitoring using Stackdriver and Cloud Monitoring.


Qualifications:

  • Bachelor’s degree in Computer Science, Data Engineering, or a related field; Master’s degree is a plus.
  • 3+ years of experience in data engineering, with at least 2+ years working with Google Cloud Platform.
  • Google Professional Data Engineer certification is required.
  • Strong proficiency with GCP services such as BigQuery, Cloud Dataflow, Cloud Composer, Cloud Pub/Sub, Firestore, and Cloud Functions.
  • Hands-on experience with big data tools and frameworks such as Apache Beam, Hadoop, Spark, or Flink.
  • Proficiency in programming languages such as Python, Java, or Scala.
  • Strong knowledge of SQL, data modeling, and query optimization.
  • Experience with CI/CD tools and version control (e.g., Git, Cloud Build).
  • Strong understanding of data governance, security, and compliance requirements.
  • Ability to manage large-scale data processing and real-time data pipelines.
  • Excellent problem-solving, analytical, and communication skills.


Preferred Skills:

  • Experience with machine learning pipelines and AI/ML model deployment.
  • Familiarity with Terraform and Infrastructure as Code (IaC) principles.
  • Experience with NoSQL databases and key-value stores on GCP.
  • Knowledge of containerization and orchestration using Google Kubernetes Engine (GKE).


What We Offer:

  • Competitive salary and performance-based incentives.
  • Comprehensive health, dental, and vision coverage.
  • Professional development and training opportunities (including GCP certification).
  • Flexible work environment and remote work options.


Join us and be part of a team building innovative and scalable data solutions on Google Cloud Platform!


This position is open to multiple engagement models, including Permanent/Full-Time, Contract, or Corp-to-Corp (C2C) arrangements. We are looking for the best talent and are flexible on the employment structure for the right candidate.


We cannot work with third-party agencies at this time. Resumes submitted via unapproved agencies will be automatically rejected.