

Kforce Inc
Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Nashville, TN, with a contract length of unspecified duration and a pay rate based on experience. Key skills include advanced SQL, Snowflake, Git workflows, and data quality frameworks. Healthcare data experience is preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
560
-
ποΈ - Date
February 14, 2026
π - Duration
Unknown
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Nashville, TN
-
π§ - Skills detailed
#AWS S3 (Amazon Simple Storage Service) #Automation #GitHub #"ETL (Extract #Transform #Load)" #AI (Artificial Intelligence) #Snowflake #Scala #GIT #SQL (Structured Query Language) #EDW (Enterprise Data Warehouse) #Observability #AWS (Amazon Web Services) #Data Processing #Data Modeling #Data Engineering #Python #Cloud #Monitoring #Airflow #S3 (Amazon Simple Storage Service) #Data Quality
Role description
Responsibilities
Kforce has a client in Nashville, TN that is seeking a Data Engineer with exceptional SQL expertise and proven experience building scalable, complex data transformation pipelines. Snowflake experience is important, but deep, hands-on SQL mastery is the primary qualification. Candidates must be able to operate independently, support production-grade workflows, and deliver in a modern cloud data environment. Responsibilities:
β’ Query performance, analytical functions, set-based operations, and data modeling techniques
β’ Translate business logic into efficient, maintainable SQL pipelines
β’ Dimensional modeling (star, snowflake, denormalized)
β’ Designing and optimizing complex transformation logic at scale
Requirements
β’ DE III: 7+ years of experience in data engineering
β’ DE II: 3-7+ years of experience in data engineering
β’ Advanced to expert-level SQL with a consistent track record of designing and optimizing complex transformation logic at scale
β’ Practical Snowflake experience working within an EDW or analytics environment
β’ Experience with Git-based workflows (GitHub preferred)
β’ Exposure to orchestration tools (Snowflake Tasks required; Airflow/MWAA nice to have)
β’ Strong grounding in data quality frameworks, automated validation, and testing
β’ Familiarity with: COPY INTO and Snowflake-native ingestion patterns; Snowflake Tasks for orchestration and scheduling
β’ Strong, clear communicator; able to simplify complex concepts
β’ Analytical thinker with a structured, methodical problem solving approach
β’ Comfortable working autonomously and engaging cross-functional teams
β’ Detail-oriented, proactive, and accountable with production systems
Preferred Qualifications
β’ Hands-on Python for data processing and automation
β’ Familiarity with CI/CD patterns (GitHub Actions preferred)
β’ Experience with AWS (S3, Glue)
β’ Exposure to Airflow DAG development
β’ Experience in large, complex enterprise data ecosystems
β’ Background in SRE-style automation, monitoring, observability
β’ Healthcare data experience, including PHI/PII handling, claims lifecycle, and EDI 835/837 formats
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 in Nashville, TN that is seeking a Data Engineer with exceptional SQL expertise and proven experience building scalable, complex data transformation pipelines. Snowflake experience is important, but deep, hands-on SQL mastery is the primary qualification. Candidates must be able to operate independently, support production-grade workflows, and deliver in a modern cloud data environment. Responsibilities:
β’ Query performance, analytical functions, set-based operations, and data modeling techniques
β’ Translate business logic into efficient, maintainable SQL pipelines
β’ Dimensional modeling (star, snowflake, denormalized)
β’ Designing and optimizing complex transformation logic at scale
Requirements
β’ DE III: 7+ years of experience in data engineering
β’ DE II: 3-7+ years of experience in data engineering
β’ Advanced to expert-level SQL with a consistent track record of designing and optimizing complex transformation logic at scale
β’ Practical Snowflake experience working within an EDW or analytics environment
β’ Experience with Git-based workflows (GitHub preferred)
β’ Exposure to orchestration tools (Snowflake Tasks required; Airflow/MWAA nice to have)
β’ Strong grounding in data quality frameworks, automated validation, and testing
β’ Familiarity with: COPY INTO and Snowflake-native ingestion patterns; Snowflake Tasks for orchestration and scheduling
β’ Strong, clear communicator; able to simplify complex concepts
β’ Analytical thinker with a structured, methodical problem solving approach
β’ Comfortable working autonomously and engaging cross-functional teams
β’ Detail-oriented, proactive, and accountable with production systems
Preferred Qualifications
β’ Hands-on Python for data processing and automation
β’ Familiarity with CI/CD patterns (GitHub Actions preferred)
β’ Experience with AWS (S3, Glue)
β’ Exposure to Airflow DAG development
β’ Experience in large, complex enterprise data ecosystems
β’ Background in SRE-style automation, monitoring, observability
β’ Healthcare data experience, including PHI/PII handling, claims lifecycle, and EDI 835/837 formats
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.






