

Databricks Developer
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Databricks Developer in Houston, TX, with a contract length of unspecified duration and a pay rate of "unknown." Key skills required include Databricks, Python, SQL, and Spark/PySpark, along with cloud experience, preferably AWS.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
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ποΈ - Date discovered
August 16, 2025
π - Project duration
Unknown
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ποΈ - Location type
On-site
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Houston, TX
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π§ - Skills detailed
#Spark (Apache Spark) #Cloud #AWS (Amazon Web Services) #Data Ingestion #Migration #Data Engineering #Data Migration #Python #Data Analysis #Databricks #PySpark #Microsoft Power BI #SQL (Structured Query Language) #Data Modeling #BI (Business Intelligence) #"ETL (Extract #Transform #Load)"
Role description
Role: Databricks Developer
Location: Houston, TX - prefers candidates in Houston
Onsite 4 days a week
Visa: anything that can work W2 without sponsorship
Overview: Client is building a team to conduct a full-scale Databricks implementation with Priority Power. 3 MDC resources alongside US Solutions Architect: 1 Business/Data Analyst; 2 Data Engineers. Solutions Architect will be responsible for setting up the Databricks environment, starting with the AWS infra/hosting, Databricks workspace (alongside DBX SA), and data migration solution. Engineers will be responsible for building all of the "plumbing" and data ingestion, ETL, modeling.
β’ We are looking for a Senior Engineer with strong Databricks experience and hands-on skills in Python, PySpark, and SQL.
β’ They will be responsible for building data ingestion processes/ETL pipelines to ingest data from various sources into Databricks (bronze layer)
β’ They should have experience in data modeling, transformations and curation of data through medallion architecture.
β’ Needs cloud experience, AWS preferred, to migrate workflows from AWS to Databricks
β’ The Engineers will be more-so responsible for getting the data into Databricks, data curation and transformation within Databricks models; MDC team will bring in Data Engineers with some Power BI experience to mock up a couple reports.
β’ Subsequent phases will be more deeply engaged in the BI aspect and can assess additional resourcing needs at that time.
Must Have
β’ Databricks
β’ Python
β’ SQL
β’ Spark/PySpark
β’ Data warehousing, ETL, modeling fundamentals
β’ Cloud experience (AWS preferred)
Nice to Have: DLT, Power BI
Role: Databricks Developer
Location: Houston, TX - prefers candidates in Houston
Onsite 4 days a week
Visa: anything that can work W2 without sponsorship
Overview: Client is building a team to conduct a full-scale Databricks implementation with Priority Power. 3 MDC resources alongside US Solutions Architect: 1 Business/Data Analyst; 2 Data Engineers. Solutions Architect will be responsible for setting up the Databricks environment, starting with the AWS infra/hosting, Databricks workspace (alongside DBX SA), and data migration solution. Engineers will be responsible for building all of the "plumbing" and data ingestion, ETL, modeling.
β’ We are looking for a Senior Engineer with strong Databricks experience and hands-on skills in Python, PySpark, and SQL.
β’ They will be responsible for building data ingestion processes/ETL pipelines to ingest data from various sources into Databricks (bronze layer)
β’ They should have experience in data modeling, transformations and curation of data through medallion architecture.
β’ Needs cloud experience, AWS preferred, to migrate workflows from AWS to Databricks
β’ The Engineers will be more-so responsible for getting the data into Databricks, data curation and transformation within Databricks models; MDC team will bring in Data Engineers with some Power BI experience to mock up a couple reports.
β’ Subsequent phases will be more deeply engaged in the BI aspect and can assess additional resourcing needs at that time.
Must Have
β’ Databricks
β’ Python
β’ SQL
β’ Spark/PySpark
β’ Data warehousing, ETL, modeling fundamentals
β’ Cloud experience (AWS preferred)
Nice to Have: DLT, Power BI