Data Engineer (Operations & Manufacturing Data)
Chesterfield, Missouri, United States of America
Contract
1 week ago
$45 - $62 USD
Key skills
PythonSQLAIscikit-learnPandasNumPyData EngineeringAnalyticsLookerBIBusiness IntelligenceTableauPower BIBigQueryGoogle CloudGrafanaCommunicationCollaboration
About this role
RESPONSIBILITIES:
Kforce's client in Chesterfield, MO is seeking a Data Engineer to join a global Smart Manufacturing Solutions team responsible for connecting operational technology (OT) environments with enterprise data platforms. This role focuses on building, supporting, and improving the reliability of cloud-based data pipelines that enable business intelligence, analytics, reporting, automation, and future AI initiatives. This position is ideal for a hands-on engineer who enjoys working across cloud technologies, manufacturing systems, data analytics, and production support in a highly visible operational environment.
Key Responsibilities:
* Design, develop, and support data pipelines that move operational and manufacturing data from facility systems to Google Cloud Platform (Google Cloud Platform)
* Build dashboards, reports, and monitoring solutions that improve operational visibility and pipeline health
* Develop alerting, logging, and automation capabilities to proactively detect and resolve issues
* Troubleshoot pipeline failures, data quality issues, and operational incidents
* Perform root cause analysis and implement improvements to increase reliability and resilience
* Collaborate with global teams across IT, operations, engineering, and business functions
* Create and maintain technical documentation, support procedures, and troubleshooting guides
* Support data governance initiatives focused on data quality and integrity
REQUIREMENTS:
* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline
* 2-5 years of experience in Data Engineering, Analytics Engineering, Production Support, or a related field
* Experience building and supporting data pipelines and cloud-based data solutions
* Hands-on experience with Google Cloud Platform (Google Cloud Platform)
* Strong SQL and Python skills
* Experience with monitoring, alerting, logging, and production support processes
* Ability to troubleshoot complex data flows and identify points of failure
* Comfortable working in a fast-paced, collaborative environment supporting business-critical systems
* Strong ownership mentality
* Organized and detail-oriented
* Curious and proactive problem solver
* Sense of urgency and ability to prioritize
* Strong communication and collaboration skills
Technical Skills:
* Google Cloud Platform (BigQuery, Dataflow, Cloud Monitoring)
* SQL
* Python (Pandas, NumPy, Scikit-Learn)
* Data Engineering & Data Pipelines
* Dashboarding and Analytics
* Monitoring, Alerting, and Logging
* Systems Support and Reliability Engineering
Preferred:
* Node-RED or similar automation tools
* OSIsoft PI or industrial data historians
* API integrations
* Grafana
* Looker, Power BI, or Tableau
* Dataform or Collibra
* Experience within manufacturing or industrial environments
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.
Kforce's client in Chesterfield, MO is seeking a Data Engineer to join a global Smart Manufacturing Solutions team responsible for connecting operational technology (OT) environments with enterprise data platforms. This role focuses on building, supporting, and improving the reliability of cloud-based data pipelines that enable business intelligence, analytics, reporting, automation, and future AI initiatives. This position is ideal for a hands-on engineer who enjoys working across cloud technologies, manufacturing systems, data analytics, and production support in a highly visible operational environment.
Key Responsibilities:
* Design, develop, and support data pipelines that move operational and manufacturing data from facility systems to Google Cloud Platform (Google Cloud Platform)
* Build dashboards, reports, and monitoring solutions that improve operational visibility and pipeline health
* Develop alerting, logging, and automation capabilities to proactively detect and resolve issues
* Troubleshoot pipeline failures, data quality issues, and operational incidents
* Perform root cause analysis and implement improvements to increase reliability and resilience
* Collaborate with global teams across IT, operations, engineering, and business functions
* Create and maintain technical documentation, support procedures, and troubleshooting guides
* Support data governance initiatives focused on data quality and integrity
REQUIREMENTS:
* Bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline
* 2-5 years of experience in Data Engineering, Analytics Engineering, Production Support, or a related field
* Experience building and supporting data pipelines and cloud-based data solutions
* Hands-on experience with Google Cloud Platform (Google Cloud Platform)
* Strong SQL and Python skills
* Experience with monitoring, alerting, logging, and production support processes
* Ability to troubleshoot complex data flows and identify points of failure
* Comfortable working in a fast-paced, collaborative environment supporting business-critical systems
* Strong ownership mentality
* Organized and detail-oriented
* Curious and proactive problem solver
* Sense of urgency and ability to prioritize
* Strong communication and collaboration skills
Technical Skills:
* Google Cloud Platform (BigQuery, Dataflow, Cloud Monitoring)
* SQL
* Python (Pandas, NumPy, Scikit-Learn)
* Data Engineering & Data Pipelines
* Dashboarding and Analytics
* Monitoring, Alerting, and Logging
* Systems Support and Reliability Engineering
Preferred:
* Node-RED or similar automation tools
* OSIsoft PI or industrial data historians
* API integrations
* Grafana
* Looker, Power BI, or Tableau
* Dataform or Collibra
* Experience within manufacturing or industrial environments
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.