Looking for active Data Engineer contract roles in the United States? Below are 10 updated Corp-to-Corp (C2C) opportunities tailored for professionals in data pipeline development, ETL processing, cloud computing (AWS/GCP/Azure), Spark, Kafka, Python, and big data analytics.
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These roles offer flexibility with remote and hybrid work setups, competitive hourly rates, and long-term engagement potential. Whether you’re a contractor with experience in data warehousing, streaming, or cloud-native tools, there’s likely something here for you.
10 Data Engineer C2C Jobs in the USA
1. Data Engineer
Proficient in SQL-based Big Data systems, designing data warehouses with Google BigQuery, and developing data pipelines in Python using modern ETL tools.
- Vendor: Cogent IBS, Inc
- Location: Philadelphia, PA
- Salary: $40+
- Recruiter email: [email protected]
- Link: More details
2. Snowflake Data Engineer
Expert in SQL development, leading technical teams, with strong communication skills, experience in Snowflake/cloud data warehousing, modern ETL tools, and SAFe Agile methodology, plus relevant certifications.
- Vendor: VLink Inc
- Location: Atlanta, GA (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
3. Data Engineer
Design and optimize scalable ETL pipelines, collaborate with stakeholders, develop data models using tools like Informatica and AWS Glue, ensure data quality, and work with cloud platforms like AWS, Azure, and GCP.
- Vendor: Sripen
- Location: Denver, CO (Local)
- Salary: Depends on Experience
- Recruiter email: [email protected]
4. Data Engineer
Experienced in managing Public Health data via APIs, IOP, and automating data workflows with Python/Jupyter Notebooks in Cloudera CML.
- Vendor: Digitek Software, Inc.
- Location: Columbus, OH (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
5. Jr Data Engineer
Develop and optimize large-scale data pipelines with Python and PySpark, design data lakes/warehouses on AWS, ensure data quality, and improve workflows for performance and reliability.
- Vendor: K-Tek Resourcing LLC
- Location: Charlotte, NC (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
6. Data Engineer
Develop data pipelines with Python/AWS, optimize ETL processes, ensure data integrity, and collaborate on business needs, with expertise in ETL tools, SQL, and data warehousing.
- Vendor: Pebal Bright Technologies LLC
- Location: Dallas, TX (Local)
- Salary: Depends on Experience
- Recruiter email: [email protected]
- Link: More details
7. Data Engineer
Experienced in collecting and managing Public Health data via APIs (US Census, CDC), using the Innovation Ohio Platform (IOP), and automating data workflows with Python/Jupyter Notebooks in Cloudera CML, curating data into Apache HIVE.
- Vendor: GoAhead Solutions
- Location: Columbus, OH (Hybrid)
- Salary: Depends on Experience
- Recruiter email: [email protected]
8. Data Engineer
Experienced in building data pipelines, analyzing raw data, preparing data for modeling, and creating dashboards, while ensuring data quality and collaborating with teams.
- Vendor: Alltech Consulting Services, Inc.
- Location: Dallas, TX
- Salary: $50 – $60
- Recruiter email: [email protected]
9. AI Data Engineer
Design and implement complex AI/ML data pipelines using Python, Snowflake, AWS, GCP, and Vertex AI, focusing on generative AI, RAG architectures, data quality, and integration with data warehouses, graph databases, and unstructured data solutions.
- Vendor: Corporate Systems Associates
- Location: Hartford, CT (Hybrid)
- Salary: $75 – $85
- Recruiter email: [email protected]
10. Cloud Data Engineer
Designing, developing, and automating data warehouse solutions, creating reports, and improving processes. Connect with Akash Gupta for quick apply.
- Vendor: Stefanini
- Location: San Francisco, CA
- Salary: $70 – $75/ hr
- Recruiter email: [email protected]
The Data Engineer C2C roles listed above are in high demand across industries like finance, healthcare, retail, and tech. These jobs require solid knowledge in data architecture, real-time processing, and scalable infrastructure. Make sure to review the specific skills and location preferences before applying.
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