Senior Cloud Data Engineer — Build Scalable Data Platforms

ValueMomentum

Illinois

On-site

USD 120,000 - 160,000

Full time

3 days ago

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Job summary

ValueMomentum is seeking an experienced Cloud Data Platform Engineer to design and build scalable data pipelines on AWS. You will develop ingestion, processing, and quality validation components using Python, PySpark, Snowflake, and dbt, while orchestrating with Prefect.

Collaboration with global teams and strong communication are essential. Demonstrated expertise in data engineering, DevOps, and cloud-native tooling will drive production readiness and reliability across complex pipelines in a

Qualifications

8-10 years overall work experience in CS/Engineering field.
5+ years in building Cloud Data Platform data engineering solutions.
Strong Python, PySpark, SparkSQL coding with tests and version control.
Hands-on with Snowflake, dbt, Airbyte and Prefect orchestration.
Experience with AWS data ecosystem and DevOps practices.

Responsibilities

Design and build cloud data platform data pipelines for ingestion, processing, quality validations, and integration.
Develop reliable Prefect workflows with retry and recovery for production pipelines.
Work with S3-based data lakes, Databricks on AWS, and related services.
Monitor, troubleshoot, and optimize end-to-end data workflows via Prefect UI/Cloud.
Collaborate with on‑shore/off‑shore teams and ensure smooth solution delivery.