

Kforce Inc
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Data Engineer in Maryland Heights, MO, with a contract length of unspecified duration. The pay rate is competitive. Key skills include Python, ETL development, Kafka, and data validation. Apache NiFi experience is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
528
-
ποΈ - Date
July 11, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Maryland Heights, MO
-
π§ - Skills detailed
#AI (Artificial Intelligence) #NiFi (Apache NiFi) #Data Quality #Apache NiFi #Spark (Apache Spark) #MongoDB #Python #Big Data #Monitoring #"ETL (Extract #Transform #Load)" #Data Architecture #Data Engineering #Splunk #Data Pipeline #Kafka (Apache Kafka) #Data Ingestion #SQL (Structured Query Language) #Hadoop
Role 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:
β’ Build and maintain data ingestion and ETL pipelines
β’ Create new data flows and enhance existing pipelines
β’ Consume data from Kafka and load/process it into MongoDB
β’ Write and modify Splunk queries for monitoring and analysis
β’ Perform data validation and data quality checks
β’ Troubleshoot pipeline failures and performance issues
β’ Refine and optimize existing pipelines
β’ Support operational issues and production incidents
β’ Occasionally assist with SQL development, table creation, and data investigations as needed
Requirements
β’ 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
β’ Relevant education and/or training will be considered a plus
β’ Experience moving and transforming large volumes of data
β’ Ability to learn and support Splunk
Experience With
β’ Python
β’ ETL/Data Pipeline Development
β’ Kafka
β’ Data Validation/Data Quality
β’ Troubleshooting production data pipelines
Preferred Skills
β’ Apache NiFi (strong preference)
β’ Splunk queries, monitoring, and troubleshooting
β’ MongoDB
β’ SQL
β’ Data flow design and optimization
β’ Streaming/data ingestion architectures
Nice-to-Have:
β’ Experience with Apache NiFi
β’ Telecom or large enterprise data environments
β’ Experience with real-time or streaming data architectures
β’ 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 βApply Todayβ 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.
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:
β’ Build and maintain data ingestion and ETL pipelines
β’ Create new data flows and enhance existing pipelines
β’ Consume data from Kafka and load/process it into MongoDB
β’ Write and modify Splunk queries for monitoring and analysis
β’ Perform data validation and data quality checks
β’ Troubleshoot pipeline failures and performance issues
β’ Refine and optimize existing pipelines
β’ Support operational issues and production incidents
β’ Occasionally assist with SQL development, table creation, and data investigations as needed
Requirements
β’ 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
β’ Relevant education and/or training will be considered a plus
β’ Experience moving and transforming large volumes of data
β’ Ability to learn and support Splunk
Experience With
β’ Python
β’ ETL/Data Pipeline Development
β’ Kafka
β’ Data Validation/Data Quality
β’ Troubleshooting production data pipelines
Preferred Skills
β’ Apache NiFi (strong preference)
β’ Splunk queries, monitoring, and troubleshooting
β’ MongoDB
β’ SQL
β’ Data flow design and optimization
β’ Streaming/data ingestion architectures
Nice-to-Have:
β’ Experience with Apache NiFi
β’ Telecom or large enterprise data environments
β’ Experience with real-time or streaming data architectures
β’ 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 βApply Todayβ 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.






