Contract
Data Engineer
Posted on 30 March 26 by Suganya Prabhakar
- Dallas, TX
- $0.00 - $0.00
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Job Description
Strategic Staffing Solutions is currently looking for Data Engineer for a W2 contract opportunity with one of our largest clients!
This is a W2 contract opportunity, and the candidates should be willing to work on our W2 ONLY, NO C2C.
Data Engineer
Location: Dallas/TX Charlotte, NC
Type: W2 Contract – 12 months
Work Schedule: Onsite all 5 days
Top Skills:
GCP/Azure/AWS
Data pipelines—Spark-based
Strong exp in SQL
Nice to have: AI tools
Nice to have experience building AI agents
Summary:
Summary:
In this contingent resource assignment, you may: Consult on complex initiatives with broad impact and large-scale planning for Software Engineering. Review and analyze complex, multi-faceted, larger-scale, or longer-term software engineering challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented factors. Contribute to the resolution of complex and multi-faceted situations requiring solid understanding of the function, policies, procedures, and compliance requirements that meet deliverables. Strategically collaborate and consult with client personnel.
Key Responsibilities
- Design and develop ETL/ELT workflows and data pipelines for batch and real-time processing.
- Build and maintain data pipelines for reporting and downstream applications using open‑source frameworks and cloud technologies.
- Implement operational and analytical data stores leveraging Delta Lake and modern database concepts.
- Optimize data structures for performance and scalability across large datasets.
- Collaborate with architects and engineering teams to ensure alignment with target‑state architecture.
- Apply best practices for data governance, lineage tracking, and metadata management, including integration with Google Dataplex for centralized governance and data quality enforcement.
- Develop, schedule, and orchestrate complex workflows using Apache Airflow, with strong proficiency in designing and managing Airflow DAGs.
- Troubleshoot and resolve issues in data pipelines and ensure high availability and reliability.
Required Qualifications: 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work or consulting experience, training, military experience, education.
“Beware of scams. S3 never asks for money during its onboarding process