AWS Lakehouse Data Engineer- GrantSolutions experienced only

**AWS Lakehouse Data Engineer** =============================== **Client:** GrantSolutions.gov **Location:** 100% Remote **Rate:** $70/hour **Visa:** No visa restrictions **About the Role** ------------------ We are seeking an experienced **AWS Lakehouse Data Engineer** to design, build, and operate a modern AWS\-native data platform supporting analytics, reporting, visualization, and AI/ML workloads. The ideal candidate will have strong hands\-on experience with **AWS data services, Amazon S3, Apache Iceberg, Python, PySpark, SQL, ETL/ELT pipelines, and data governance**. **Responsibilities** -------------------- * Design and build scalable **batch and streaming data pipelines** using Python and PySpark. * Build and maintain an **AWS\-native lakehouse on Amazon S3** using Apache Iceberg and Parquet. * Develop ETL/ELT workflows, incremental processing, CDC, schema validation, and reusable transformations. * Use services such as **AWS Glue, Athena, EMR, Lake Formation, and Redshift** for data processing, querying, and governance. * Implement metadata management, lineage, data quality, encryption, and fine\-grained access controls. * Automate AWS infrastructure using **Infrastructure as Code (IaC)** and support CI/CD pipelines across development, test, and production environments. * Monitor and optimize platform **performance, reliability, security, and cost**. * Collaborate with data, analytics, AI/ML, security, and cloud teams and maintain technical documentation. **Required Qualifications** --------------------------- * Hands\-on experience building **AWS data lake/lakehouse architectures**. * Strong **Python, PySpark, and SQL** skills with production ETL/ELT experience. * Experience with **Apache Iceberg**, including ACID transactions, schema evolution, snapshots, partitioning, and optimization. * Experience with AWS services including **S3, Glue, Athena, EMR, Lake Formation, IAM, KMS, and Redshift**. * Experience with data governance, metadata, lineage, data quality, and fine\-grained access controls. * Experience with **IaC, CI/CD, AWS security, and distributed data\-processing environments**. **Nice to Have** ---------------- * Databricks or Delta Lake experience, including migration to AWS\-native platforms. * Experience with **Terraform, CloudFormation/CDK, Docker, GitHub Actions, Jenkins, Step Functions, MWAA, Kinesis, Lambda, DMS, or MSK**. * Experience with **QuickSight, Tableau, or Power BI**. * Knowledge of **AI\-assisted development, Knowledge Graphs, and Graph RAG**, including ontology modeling, entity resolution, and hybrid graph/vector retrieval.