Senior Data Engineer

Tasks

• Build a modern AWS data platform, migrate existing Azure workloads to AWS, and develop scalable data solutions for analytics and AI.

Requirements

• Need Local
• 10+ Years
• Visa: GC, USC, H4 EAD, H1B
• AWS | Azure-to-AWS Migration
• Strong hands-on experience with AWS data services: S3, Glue, Redshift, Athena, Lambda, Step Functions, and Lake Formation.
• Experience with Snowflake and/or Databricks, including lakehouse development.
• Expertise in medallion architecture (Bronze, Silver, Gold) and data modeling.
• Hands-on experience migrating Azure data workloads to AWS.
• Strong Python, PySpark, and advanced SQL skills.
• Experience with dbt, ELT pipelines, CDC, and data quality testing.
• Knowledge of Apache Iceberg, Delta Lake, and Parquet.
• Experience with Amazon Bedrock or SageMaker, RAG, LLM integration, and vector databases.
• Familiarity with Terraform/CDK, CI/CD, data governance, and cloud security.
• Salesforce integration and Tableau experience are a plus.
• 10+ years in Data Engineering, including 7+ years of hands-on AWS experience.
• Production experience with Snowflake and/or Databricks.
• At least one cloud migration project; Azure-to-AWS migration preferred.
• At least one production AI/ML or GenAI solution.
• Strong communication and stakeholder management skills.

How to apply

• Share your updated resume.

Location

• Washington, DC (Hybrid)