Senior/Lead Data Engineer for Large-Scale Data Processing Systems

💼 Senior / Lead Data Engineer

Location: Multiple Client Locations across the USA (Open to Relocation)

Experience: 8+ Years

Employment Type: Full-time (All Visa Types Accepted – H1B, H4 EAD, GC, USC, TN, L2, etc.)

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

rajesh@precisiontechcorp.com

Let’s build the future of data together!