

PARSETEK INC
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer supporting the Tennessee Department of Health's Snowflake Data Repository. Contract length is unspecified, with a pay rate of "unknown." Key skills required include Snowflake, ETL, SQL, and data integrity. On-site work in Nashville, TN is mandatory.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
520
-
🗓️ - Date
March 27, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
On-site
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Nashville, TN
-
🧠 - Skills detailed
#Data Pipeline #Snowflake #Spark (Apache Spark) #Data Engineering #BI (Business Intelligence) #Data Integrity #Security #Data Quality #"ETL (Extract #Transform #Load)" #Cloud #SQL (Structured Query Language)
Role description
Integrated Data System Position – Snowflake (Data Engineer)
This posting is for TN residents only with a requirement to attend in-person staff meetings at least once monthly. 710 James Robertson Parkway, Nashville, TN 37243.
Position Description: The Tennessee Department of Health (TDH) is currently recruiting a qualified candidate to support the ongoing development and maintenance of TDH’s cloud-based Snowflake (SPARK) Data Repository and associated business intelligence as a part of the Office of Informatics and Analytics (OIA).
The Snowflake Data Engineer will be responsible for designing, implementing, and optimizing data solutions using the states Snowflake data platform (SPARK).
The position will work closely with cross-functional teams to ensure data integrity, security, and performance. This role requires a deep understanding of data warehousing, ETL processes, the Snowflake platform, and SQL.
The Snowflake Data Engineer will be responsible for developing system requirements, assisting with the ascertainment of newly identified data sources with the primary directive of onboarding those data sources into the SPARK platform. This will require the position to work closely with data stewards and internal partners to better understand their current and future needs, expected outcomes and uses of their data within the Snowflake data platform (SPARK).
As part of the onboarding activities this position will be responsible for development of ingestion processes, mapping, validation, and transformation of partner data, in conjunction with ensuring data quality, automating data pipelines, accurately mapping data fields from disparate sources, and troubleshooting ingestion errors for seamless system adoption
Integrated Data System Position – Snowflake (Data Engineer)
This posting is for TN residents only with a requirement to attend in-person staff meetings at least once monthly. 710 James Robertson Parkway, Nashville, TN 37243.
Position Description: The Tennessee Department of Health (TDH) is currently recruiting a qualified candidate to support the ongoing development and maintenance of TDH’s cloud-based Snowflake (SPARK) Data Repository and associated business intelligence as a part of the Office of Informatics and Analytics (OIA).
The Snowflake Data Engineer will be responsible for designing, implementing, and optimizing data solutions using the states Snowflake data platform (SPARK).
The position will work closely with cross-functional teams to ensure data integrity, security, and performance. This role requires a deep understanding of data warehousing, ETL processes, the Snowflake platform, and SQL.
The Snowflake Data Engineer will be responsible for developing system requirements, assisting with the ascertainment of newly identified data sources with the primary directive of onboarding those data sources into the SPARK platform. This will require the position to work closely with data stewards and internal partners to better understand their current and future needs, expected outcomes and uses of their data within the Snowflake data platform (SPARK).
As part of the onboarding activities this position will be responsible for development of ingestion processes, mapping, validation, and transformation of partner data, in conjunction with ensuring data quality, automating data pipelines, accurately mapping data fields from disparate sources, and troubleshooting ingestion errors for seamless system adoption






