Senior Data Engineer (United States)

About the Company

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.

About the Role

This role involves designing, building, and optimizing large-scale data processing systems, ensuring data availability and integrity across platforms.

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.

Qualifications

• 8+ years of hands-on experience in data engineering, ETL development, and pipeline automation.

Required Skills

• 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.

Preferred Skills

• Experience in data modernization or migration projects.
• Familiarity with CI/CD pipelines and containerization (Docker/Kubernetes).

Pay range and compensation package

Full-time W2 contract with client. No C2C

Equal Opportunity Statement

We are committed to diversity and inclusivity.

Interested candidates can apply directly or share resumes at

Let’s build the future of data together