Data Products Engineer - ETL & Data Quality in AWS

Kforce Inc

Maryland Heights (MO)

Hybrid

USD 90,000 - 130,000

Full time

6 days ago
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Benefits offered by this job

Medical/dental/vision insurance
401(k) plan
HSA/FSA

Job summary

Kforce Inc. is seeking a Data Products Engineer in Maryland Heights, MO for a hybrid role (4 days in‑office, 1 day remote).

The team builds and certifies data products powering outage management and reliability reporting, owning the full lifecycle from raw feeds to stakeholder-ready outputs. You will develop ETL pipelines, implement data validations, monitor data quality, and manage versioned data product releases, collaborating with cross‑functional teams to ensure timely, accurate data

Qualifications

  • Strong SQL with window functions and data manipulation skills.
  • Proficiency in Python for scripting, automation and validation.
  • Experience with AWS data stack and Spark for large-scale processing.
  • Ability to own data quality and explain its significance.

Responsibilities

  • Build and maintain ETL pipelines using AWS Glue, Spark, and Athena.
  • Write and monitor daily data quality checks and validations.
  • Coordinate versioned data product releases and release notes.
  • Integrate data across upstream source systems to produce unified outputs.
  • Investigate anomalies and resolve issues before downstream impact.

Skills

SQL window functions (LAG, PARTITION)
Python scripting
Data quality ownership
Written communication

Tools

AWS Glue
Athena
S3
EMR
Step Functions
Spark

Job description

Kforce Inc. is seeking a Data Products Engineer in Maryland Heights, MO for a hybrid role (4 days in‑office, 1 day remote).

The team builds and certifies data products powering outage management and reliability reporting, owning the full lifecycle from raw feeds to stakeholder-ready outputs. You will develop ETL pipelines, implement data validations, monitor data quality, and manage versioned data product releases, collaborating with cross‑functional teams to ensure timely, accurate data

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