Senior Data Engineer
Core
Design, build, and optimize production data pipelines and platforms on AWS for diverse customer environments, ranging from modernizing legacy systems to building lakehouse architectures.
Role type
Senior hands-on IC Data Engineer
Builds
Scalable data processing workloads, data lakes, lakehouse architectures, and analytical data warehouses on AWS
Domain
Cloud Data Engineering (AWS)
Required skills
Apache Spark/PySpark, Python, SQL, AWS data services (S3, Glue, Redshift, Kinesis), data modeling, ETL/ELT, streaming architectures, troubleshooting, infrastructure automation
Preferred skills
Apache Iceberg, Amazon OpenSearch, BI tools (QuickSight, Tableau), Terraform, CI/CD, ML platform preparation (SageMaker), GenAI/Bedrock (via careerplan.io/jobs/26-003-FB-A50-senior-data-engineer)
Technologies
AWS, Spark, PySpark, Python, SQL, S3, Apache Iceberg, AWS Glue, Amazon Redshift, Kafka, Kinesis, QuickSight, Terraform, SageMaker, Bedrock
Responsibilities
Design and optimize production data pipelines; build scalable data processing workloads; modernize data lakes and lakehouse architectures; design and troubleshoot analytical workloads; modernize legacy ETL/ELT processing; work with streaming data pipelines; investigate production data problems; take ownership of customer projects end-to-end; collaborate with Data Scientists and DevOps; contribute to dashboards; apply engineering practices for data quality and security
Seniority
Senior, hands-on IC
