> Markdown version of [/jobs/ext/3541701-databricks-data-engineer-aws](https://www.wearedevelopers.com/jobs/ext/3541701-databricks-data-engineer-aws). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Databricks Data Engineer - AWS - **Company:** TalentOla View all jobs - **Location:** Wilmington, DE, United States - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Amazon Web Services, Amazon S3, Extract Transform Load (ETL), Elasticsearch, Identity and Access Management, MongoDB, Networking Basics, Query Optimization, Data Streaming, Istio, Apache Spark, Software Troubleshooting, Indexer, Amazon Virtual Private Cloud (VPC), Backend, Event Driven Architecture, Data Lakes, Pyspark, AWS Data Analytics, Machine Learning Operations, Cloudwatch, Api Gateway, Amazon Simple Queue Service (SQS), Serverless Computing, Databricks - **Published:** September 30, 2026 - **Apply:** https://www.careerjet.com/jobad/usc175e9a2ec0068f1d714ae4a2597655f ## About the Role * Deep knowledge in Databricks & AWS eco-systems * Delta Lake + Lake house architecture (Lake flow, Lake Base) * PySpark/Scala Spark * High volume Production-grade Databricks ELT/ETL engineering * Nice to have * Streaming/DLT experience * ML Ops on Databricks * Data Mesh architecture knowledge * Advance cost/performance engineering * Experience * Databricks & AWS data engineer ## Description * AWS backend engineering ( IAM, VPC/networking basics, CloudWatch, S3, ALB/API Gateway, ECS/EKS or Lambda, and RDS/Aurora, MongoDB etc) * Python Backend API engineering * Amazon DocumentDB expertise (Data modeling for documents, indexing/query tuning, connection management, performance troubleshooting, backup/restore, and understanding MongoDB-compatibility constraints) * Container platform (EKS/ECS scaling, service mesh basics, blue/green or canary deployments) * Nice to have * Data/analytics & search (OpenSearch/Elasticsearch, streaming ingestion, and building read models for search/reporting) * Serverless-first expertise (Advanced Lambda patterns, Step Functions,) * Event-driven + orchestration patterns (SQS/SNS/event-driven architecture and designing resilient async workflow) * Experience * AWS Full stack developer with Document DB experience