AWS Lakehouse Data Engineer: Scalable AI/ML Pipelines

Guidehouse

Washington (District of Columbia)

In loco

USD 113.000 - 188.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Medical Insurance

401(k) Retirement Plan

Paid Holidays

Descrizione del lavoro

Guidehouse seeks an AWS Lakehouse Data Engineer to design, build, and operate a cloud-native data platform powering AI/ML, analytics, reporting, and data visualization. You will construct a scalable lakehouse on Amazon S3 using Iceberg/Parquet, enable ACID transactions, and provide fast interactive querying with AWS services.

You will implement batch and streaming ingestion, Python/PySpark ETL pipelines, metadata governance, and automated provisioning with CI/CD.

Competenze

Bachelor's degree in Engineering, IT, CS, Data Engineering or four years of equivalent practical experience.
6+ years of relevant experience in data engineering and cloud data platforms.
Hands-on experience delivering AWS-native lakehouse architectures with S3, Glue, Athena, EMR, Lake Formation, and Redshift.

Mansioni

Design, implement, and operate batch and streaming data pipelines using Python and PySpark.
Build a Delta Lakehouse-style platform on AWS with Iceberg and Parquet formats.
Enable governance, metadata, lineage, and fine-grained access control using AWS services.
Develop CI/CD and IaC for repeatable, secure deployments across environments.
Collaborate with analytics, AI/ML, and security teams to meet regulatory and operational needs.