

Zeektek
Data Engineer Ll Talend to Databricks Migration Arizona
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer II focused on Talend to Databricks migration in Arizona, with a contract through mid-2026. Key skills include Databricks expertise and experience in enterprise data migrations. Local candidates preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
February 6, 2026
π - Duration
More than 6 months
-
ποΈ - Location
On-site
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Arizona, United States
-
π§ - Skills detailed
#Documentation #Databases #DevOps #Databricks #PySpark #Spark (Apache Spark) #Scala #Data Accuracy #Talend #"ETL (Extract #Transform #Load)" #Azure #Data Pipeline #Data Integrity #Oracle #ADLS (Azure Data Lake Storage) #Data Migration #Spark SQL #Delta Lake #Migration #Data Engineering #ADF (Azure Data Factory) #SQL (Structured Query Language)
Role description
Data Engineer II β Databricks Migration (Contract)
Location: Arizona (Local Preferred)
Duration: Contract through mid-2026
Role Overview
Seeking a Data Engineer to own and drive an in-flight data platform migration from Talend to Databricks. This role is critical to maintaining data integrity, continuity, and reporting accuracy during a legacy system sunset scheduled for mid-2026.
The ideal candidate is an experienced individual contributor who has led or significantly contributed to enterprise data migrations, brings deep Databricks expertise, and can operate with autonomy, sound judgment, and a problem-solving mindset.
Key Responsibilities
β’ Take ownership of the ongoing migration of legacy Talend ETL workflows into Databricks-based pipelines
β’ Analyze existing data workflows and translate them into scalable, reliable Databricks solutions
β’ Ensure data accuracy, consistency, and parity throughout the migration process
β’ Troubleshoot and resolve pipeline issues to maintain operational stability
β’ Collaborate with data, application, and business stakeholders to align migration outcomes with reporting and analytics needs
β’ Document pipelines, processes, and operational runbooks to reduce single points of failure
β’ Serve as a technical leader by influenceβproviding guidance, making informed tradeoffs, and keeping the project moving forward
Required Qualifications
β’ Proven experience supporting or leading data platform or ETL migrations in enterprise environments
β’ Strong hands-on experience with Databricks (PySpark, Spark SQL, Delta Lake, orchestration/workflows)
β’ Experience translating or modernizing legacy ETL workflows (Talend or similar tools strongly preferred)
β’ Solid background in data movement and transformation involving relational databases (SQL/Oracle or similar)
β’ Demonstrated ability to troubleshoot failures, identify root causes, and implement durable solutions
β’ Strong documentation and communication skills
Preferred Qualifications
β’ Prior experience migrating from Talend to Databricks
β’ Familiarity with Azure data services (ADLS, ADF, DevOps pipelines)
β’ Experience working in healthcare, analytics, or regulated environments
β’ Local to Arizona (strongly preferred)
What Success Looks Like
β’ Migration progress continues steadily toward the June 2026 deadline
β’ Data pipelines run reliably with minimal disruption to reporting or downstream systems
β’ Legacy workflows are accurately replicated and validated in Databricks
β’ Knowledge is documented and shared, reducing dependency on any single individual
Data Engineer II β Databricks Migration (Contract)
Location: Arizona (Local Preferred)
Duration: Contract through mid-2026
Role Overview
Seeking a Data Engineer to own and drive an in-flight data platform migration from Talend to Databricks. This role is critical to maintaining data integrity, continuity, and reporting accuracy during a legacy system sunset scheduled for mid-2026.
The ideal candidate is an experienced individual contributor who has led or significantly contributed to enterprise data migrations, brings deep Databricks expertise, and can operate with autonomy, sound judgment, and a problem-solving mindset.
Key Responsibilities
β’ Take ownership of the ongoing migration of legacy Talend ETL workflows into Databricks-based pipelines
β’ Analyze existing data workflows and translate them into scalable, reliable Databricks solutions
β’ Ensure data accuracy, consistency, and parity throughout the migration process
β’ Troubleshoot and resolve pipeline issues to maintain operational stability
β’ Collaborate with data, application, and business stakeholders to align migration outcomes with reporting and analytics needs
β’ Document pipelines, processes, and operational runbooks to reduce single points of failure
β’ Serve as a technical leader by influenceβproviding guidance, making informed tradeoffs, and keeping the project moving forward
Required Qualifications
β’ Proven experience supporting or leading data platform or ETL migrations in enterprise environments
β’ Strong hands-on experience with Databricks (PySpark, Spark SQL, Delta Lake, orchestration/workflows)
β’ Experience translating or modernizing legacy ETL workflows (Talend or similar tools strongly preferred)
β’ Solid background in data movement and transformation involving relational databases (SQL/Oracle or similar)
β’ Demonstrated ability to troubleshoot failures, identify root causes, and implement durable solutions
β’ Strong documentation and communication skills
Preferred Qualifications
β’ Prior experience migrating from Talend to Databricks
β’ Familiarity with Azure data services (ADLS, ADF, DevOps pipelines)
β’ Experience working in healthcare, analytics, or regulated environments
β’ Local to Arizona (strongly preferred)
What Success Looks Like
β’ Migration progress continues steadily toward the June 2026 deadline
β’ Data pipelines run reliably with minimal disruption to reporting or downstream systems
β’ Legacy workflows are accurately replicated and validated in Databricks
β’ Knowledge is documented and shared, reducing dependency on any single individual






