Senior / Lead Data Engineer
Location: Multiple Client Locations across the USA (Open to Relocation)
Experience: 8+ Years
Employment Type: Full-time and w2 Contract with client. No C2C
About the Role
We’re looking for an experienced Senior or Lead Data Engineer to join our client projects across diverse domains - finance, healthcare, retail, and cloud-based ecosystems. This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms.
Key Responsibilities:
• Architect, build, and maintain scalable data pipelines and ETL processes using modern tools and cloud technologies
• Develop and deploy data ingestion frameworks for structured and unstructured data sources.
• Work closely with data scientists, analysts, and DevOps teams to design efficient data models and ensure seamless integrations.
• Optimize performance of large-scale data lakes and warehouses.
• Implement data governance, lineage, and quality frameworks.
• Lead and mentor junior data engineers and ensure best practices in data engineering.
Required Skills:
• 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation.
• Strong expertise in at least one cloud platform - AWS, Azure, or GCP.
• Hands-on with Spark, PySpark, Databricks, Kafka, Snowflake, Airflow, SQL, and Python.
• Experience with data warehousing (Redshift, BigQuery, Synapse, etc.) and streaming technologies.
• Solid understanding of data modeling, orchestration, and performance tuning.
• Excellent communication skills and ability to work in collaborative, cross-functional teams.
Nice to Have:
• Experience in data modernization or migration projects.
• Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).
Interested candidates can apply directly or share resumes at
[email protected]
• Let’s build the future of data together!