

Kforce Inc
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Houston, TX, with a contract length of "unknown" and a pay rate of "unknown." Requires a Bachelor's/Master's degree, 4+ years of data analysis, SQL, programming, and 2+ years in Databricks and GCP.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
496
-
ποΈ - Date
October 31, 2025
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Houston, TX
-
π§ - Skills detailed
#Computer Science #AWS (Amazon Web Services) #R #Data Analysis #Big Data #Programming #Python #Data Engineering #Tableau #Databricks #Visualization #Scala #SQL (Structured Query Language) #SAS #BI (Business Intelligence) #AI (Artificial Intelligence) #Cloud #GCP (Google Cloud Platform) #Automation #Datasets #Oracle #Data Quality #Databases #Data Mart #Microsoft Power BI
Role description
Responsibilities
Kforce has a client that is seeking a Data Engineer in Houston, TX. Key Responsibilities:
β’ Data Engineer will gather and manage large, complex datasets
β’ Redesign data marts for scalability and optimization
β’ Implement process improvements (automation, data delivery, infrastructure)
β’ Develop dashboards and executive reports using Tableau or Power BI
β’ As a Data Engineer, you will build and maintain data models in Oracle and AWS
β’ Collaborate with business and analytics teams on data quality and standards
β’ Provide ad hoc reporting and support marketing tests
Requirements
β’ Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related discipline/experience with 4+ years of experience; Or Master's degree in Computer Science, Computer Engineering, Information Systems, or related discipline/experience with 3+ years
β’ 4+ years of professional experience in business intelligence and data analysis
β’ 3+ years of SQL experience
β’ 3+ years of programming experience
β’ 2+ years of hands-on experience in Databricks and GCP
β’ 2+ years of experience with any one of visualization tools like Tableau/Power BI
β’ Good understanding of cloud technologies with 1+ years of hands-on experience in AWS and big data distributed ecosystems
β’ Hands-on experience in one of programming languages like SAS/R/Python is a must
β’ Experience with dimensional modeling and improving data reliability and data quality
β’ Experience working with large datasets
β’ Good understanding of relational and non-relational databases
Preferred Qualifications
β’ Retail energy or gas/power industry experience
β’ Root cause analysis and process improvement skills
β’ Strong communication and organizational skills
β’ Ability to work with incomplete data and ambiguity
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 has a client that is seeking a Data Engineer in Houston, TX. Key Responsibilities:
β’ Data Engineer will gather and manage large, complex datasets
β’ Redesign data marts for scalability and optimization
β’ Implement process improvements (automation, data delivery, infrastructure)
β’ Develop dashboards and executive reports using Tableau or Power BI
β’ As a Data Engineer, you will build and maintain data models in Oracle and AWS
β’ Collaborate with business and analytics teams on data quality and standards
β’ Provide ad hoc reporting and support marketing tests
Requirements
β’ Bachelor's degree in Computer Science, Computer Engineering, Information Systems, or related discipline/experience with 4+ years of experience; Or Master's degree in Computer Science, Computer Engineering, Information Systems, or related discipline/experience with 3+ years
β’ 4+ years of professional experience in business intelligence and data analysis
β’ 3+ years of SQL experience
β’ 3+ years of programming experience
β’ 2+ years of hands-on experience in Databricks and GCP
β’ 2+ years of experience with any one of visualization tools like Tableau/Power BI
β’ Good understanding of cloud technologies with 1+ years of hands-on experience in AWS and big data distributed ecosystems
β’ Hands-on experience in one of programming languages like SAS/R/Python is a must
β’ Experience with dimensional modeling and improving data reliability and data quality
β’ Experience working with large datasets
β’ Good understanding of relational and non-relational databases
Preferred Qualifications
β’ Retail energy or gas/power industry experience
β’ Root cause analysis and process improvement skills
β’ Strong communication and organizational skills
β’ Ability to work with incomplete data and ambiguity
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.






