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Data Engineer

Kforce Technology StaffingMaryland Heights, MO🇺🇸United StatesPosted 14 Jul 2026

Why This Role Stands Out

This hybrid Data Engineer role offers significant opportunities to build and optimize critical data pipelines, leveraging your strong Python and ETL skills for impactful work. You'll thrive here if you enjoy problem-solving and have a knack for transforming large datasets, with the potential for growth in a reputable tech environment. Apply now to contribute to exciting data initiatives!

Quick Overview

Work Type
Hybrid
Level
Mid Senior

Job Description

RESPONSIBILITIES:
Kforce is seeking a Senior Data Engineer for a client in Maryland Heights, MO working 4 days in office.

Overview:
This role is focused on ETL/data pipeline development and support. The ideal candidate will have strong Python skills and experience building, maintaining, troubleshooting, and optimizing data pipelines. Experience with Apache NiFi is highly preferred, but candidates with other enterprise ETL platforms are welcome.

Responsibilities:
* Build and maintain data ingestion and ETL pipelines
* Create new data flows and enhance existing pipelines
* Consume data from Kafka and load/process it into MongoDB
* Write and modify Splunk queries for monitoring and analysis
* Perform data validation and data quality checks
* Troubleshoot pipeline failures and performance issues
* Refine and optimize existing pipelines
* Support operational issues and production incidents
* Occasionally assist with SQL development, table creation, and data investigations as needed

REQUIREMENTS:
* To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
* Relevant education and/or training will be considered a plus
* Experience moving and transforming large volumes of data
* Ability to learn and support Splunk

Experience with:
* Python
* ETL/Data Pipeline Development
* Kafka
* Data Validation/Data Quality
* Troubleshooting production data pipelines

Preferred Skills:
* Apache NiFi (strong preference)
* Splunk queries, monitoring, and troubleshooting
* MongoDB
* SQL
* Data flow design and optimization
* Streaming/data ingestion architectures

Nice-to-Have:
* Experience with Apache NiFi
* Telecom or large enterprise data environments
* Experience with real-time or streaming data architectures
* Exposure to Hadoop, Spark, or other big data platforms

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.

By clicking ?Apply Today? you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

Skills

MongoDB
SQL
ETL
Splunk
Apache
Data Pipeline
Hadoop
Kafka
LESS
Python

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