Below is a curated list of 10 active Data Engineer contract roles across the United States, available on a Corp-to-Corp (C2C) basis. These jobs span technologies like Python, Spark, Hadoop, Kafka, SQL, AWS, and GCP—ideal for engineers building scalable data pipelines and analytics infrastructure.
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These positions are open to both remote and on-site candidates, depending on the client. If you’re actively seeking C2C-based data projects, review and apply to the ones that match your expertise.
10 Data Engineer C2C Jobs
1. Data Engineer
Experienced in SQL, Snowflake, Python, Apache Airflow, dbt, and AWS services, with strong skills in data modeling, performance tuning, automation, and API integration, alongside a solid grasp of data quality, governance, and cloud-native troubleshooting.
- Vendor: Cyber Sphere LLC
- Location: Orlando, FL
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
2. Data & Reporting Engineer
Experienced in data engineering, ETL, Power BI, Genesys PureCloud integration, AI insights, and cloud services, with strong programming and cross-functional collaboration skills.
- Vendor: Zealogics
- Location: Alpharetta, GA
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
3. AWS AI Data Engineer
Skilled in Python, ML frameworks, AWS services, and AI/ML model deployment, with expertise in data classification, RAG, and LLM optimization.
- Vendor: Princeton IT Services
- Location: Remote
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
4. Data Engineer
Proficient in Apache Spark, Scala, and Python, with strong leadership, problem-solving, and performance optimization skills, and experience in big data, software development, and team collaboration.
- Vendor: StratG Inc
- Location: Irving, TX
- Salary: $50 – $55
- Recruiter email: [email protected]
- Link: More details
5. Data Engineer
Expertise in Java, Scala, Python, Redshift, Snowflake, and Agile, focused on building and optimizing cloud-based solutions.
- Vendor: Mindlance
- Location: Reston, VA (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
6. AWS Data Engineer (Python, Dataiku)
Lead data platform modernization, design AWS pipelines, optimize ETL, ensure data quality, and implement security/compliance controls.
- Vendor: American IT Systems
- Location: San Francisco, CA (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
7. Data Engineer (Alteryx)
Use Alteryx for data mapping, consolidate CSV/text data into databases, employ AWS Entity Resolution for deduplication, and optimize AWS data processes.
- Vendor: DataFactZ
- Location: Minneapolis, MN (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
8. Data Engineer
Experienced in data engineering, building AWS applications (S3, Glue, Redshift, Lambda, etc.), SQL, data analysis, APIs, Python, and CI/CD pipelines (CloudFormation, GitLab), with institutional knowledge of Fannie Mae.
- Vendor: Oraapps Inc
- Location: Reston, VA
- Salary: Depends on Experience
- Recruiter email: [email protected]
9. Data Engineer-AWS Cloud
Experienced with Redshift, RDS, DynamoDB, Quicksight, S3, Glue, Athena, CloudWatch, SQL/NoSQL, ETL, data modeling, encryption, PKI, and security best practices, with strong problem-solving and communication skills.
- Vendor: Connexions Data Inc
- Location: Remote
- Salary: Depends on Experience
- Recruiter email: [email protected]
10. Senior Data Engineer
Design data architectures, build ETL pipelines, integrate with Snowflake/Azure, develop analytics (Looker, Power BI), optimize workflows, mentor engineers, and contribute to CI/CD.
- Vendor: Zaass Consulting, LLC
- Location: Remote
- Salary: Depends on Experience
- Recruiter email: [email protected]
The roles above reflect real-time demand for skilled Data Engineers on a contract basis across various U.S. industries. From real-time data streaming to large-scale ETL pipelines, these roles offer exciting opportunities for experienced professionals working on a C2C model.
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