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Data Products Engineer

Job in Maryland Heights, St. Louis city, Missouri, 63043, USA
Listing for: Kforce Inc
Full Time position
Listed on 2026-11-04
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 90000 - 130000 USD Yearly USD 90000.00 130000.00 YEAR
Job Description & How to Apply Below
Location: Maryland Heights

Responsibilities

Kforce has a client that is seeking a Data Products Engineer in Maryland Heights, MO. This role follows a hybrid work schedule, 4 days in office/1 day remote.

Summary:

The Data Products Team builds and certifies the data products that power outage management/reliability reporting. We own the full lifecycle;
From raw source feeds through validated, stakeholder‑ready outputs. This role is needed for expanding the team to keep pace with demand. This is a hands‑on role. The candidate will build and maintain ETL pipelines, write validation logic, monitor daily data quality, and help deliver versioned data product releases to BI and operational stakeholders. They'll work closely with teams across the full delivery cycle.

Key Tasks:

  • Building and maintaining ETL pipelines in AWS Glue, Spark, and Athena that process modem‑level telemetry, outage events, and customer impact data at scale
  • Writing & owning daily data quality checks (scripted SQL validations, threshold alerting, row‑count monitoring) and contributing to ensuring a certification process before data goes to stakeholders
  • Supporting versioned data product releases: authoring test cases and release notes, coordinating go/no-go decisions with end users, and managing patches through a structured release process
  • Integrating data across multiple upstream source systems (AOM, IPDR, Scope, CARS, IRIS, Gisual) to produce unified, stakeholder‑ready outputs
  • Investigating data anomalies (nulls, duplicates, missing intervals, unexpected distributions) and resolving them before downstream impact
Requirements
  • Strong SQL - window functions (LAG, PARTITION BY), grouping sets, null handling, Athena-specific patterns
  • Python for scripting, automation, and data validation
  • AWS data stack experience:
    Glue, Athena, S3, EMR, Step Functions
  • Spark for large‑scale data processing on EMR
  • Comfort owning data quality;
    Not just running checks, but understanding why they matter and knowing when something looks wrong
  • Good written communication: the resource will be coordinating with teammates and documenting methodology clearly
Nice To Have
  • Experience with telecom or network operations data (modem telemetry, outage records, IPDR‑style feeds)

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note:

Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.

This job is not eligible for bonuses, incentives or commissions.

Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

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