What are the responsibilities and job description for the Data Engineer position at Kforce Technology Staffing?
Job Details
RESPONSIBILITIES:
Kforce has a client in Lehi, UT that is looking for a Senior Data Engineer. This role focuses on building scalable pipelines and ensuring high-quality data for time-series modeling and predictive insights.
Key Responsibilities:
* Design, develop, and optimize ETL processes and data pipelines for large-scale time-series datasets (e.g., energy consumption, HVAC usage)
* Implement data models and storage solutions for structured and unstructured data, leveraging cloud platforms (AWS, Google Cloud Platform, or Azure)
* Collaborate with Data Scientists to enable efficient model training and deployment for forecasting and anomaly detection
* Ensure data integrity, governance, and security across all systems
* Work with IoT and smart home data streams to support real-time analytics
REQUIREMENTS:
* 5 years in data engineering or related roles
* Residential energy/utility experience, such as time-series data modeling and forecasting
* Strong proficiency in SQL, Python, and distributed computing frameworks (e.g., Spark)
* Experience with cloud-based data platforms (AWS, Google Cloud Platform, or Azure) and big data technologies (e.g., Hadoop, Delta Lake)
* Familiarity with time-series data processing and storage optimization
* Knowledge of residential energy or utility datasets and IoT integration
Preferred:
* Experience with ML Ops and supporting model deployment pipelines
* Background in energy efficiency or smart home technologies
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 has a client in Lehi, UT that is looking for a Senior Data Engineer. This role focuses on building scalable pipelines and ensuring high-quality data for time-series modeling and predictive insights.
Key Responsibilities:
* Design, develop, and optimize ETL processes and data pipelines for large-scale time-series datasets (e.g., energy consumption, HVAC usage)
* Implement data models and storage solutions for structured and unstructured data, leveraging cloud platforms (AWS, Google Cloud Platform, or Azure)
* Collaborate with Data Scientists to enable efficient model training and deployment for forecasting and anomaly detection
* Ensure data integrity, governance, and security across all systems
* Work with IoT and smart home data streams to support real-time analytics
REQUIREMENTS:
* 5 years in data engineering or related roles
* Residential energy/utility experience, such as time-series data modeling and forecasting
* Strong proficiency in SQL, Python, and distributed computing frameworks (e.g., Spark)
* Experience with cloud-based data platforms (AWS, Google Cloud Platform, or Azure) and big data technologies (e.g., Hadoop, Delta Lake)
* Familiarity with time-series data processing and storage optimization
* Knowledge of residential energy or utility datasets and IoT integration
Preferred:
* Experience with ML Ops and supporting model deployment pipelines
* Background in energy efficiency or smart home technologies
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.
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Salary : $80
