Job Description
Senior / Lead Data Engineer Location: Multiple Client Locations across the USA (Open to Relocation) Experience: 8+ Years Employment Type: Full-time 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! Apply tot his job