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# Data Engineer

- **Company:** Vertex, Inc.
- **Location:** Minneapolis, MN, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Airflow, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Data Architecture, Data Validation, Information Engineering, Github, Python (Programming Language), Cloud Services, Standard Sql, Azure Data Lake, SQL Databases, Workflow Management Systems, Parquet, Google Cloud, Azure Data Factory, Snowflake, Microsoft Fabric, Data Lakes, Pyspark, Data Management, Software Version Control, Data Pipelines, Databricks
- **Published:** June 22, 2026
- **Apply:** https://www.dice.com/job-detail/847bd69f-ba63-4374-8110-17eb66379dcc

## About the Role

heavy Azure experience with that Lakehouse, Data Lake and SQL and Python experience necessary to be successful. Also must have the dbt experience as well!, * 7+ years of handson data engineering experience

 * Proven delivery of productiongrade data pipelines
 * Experience working independently with minimal supervision
 * Strong understanding of data quality, reliability, and operational readiness, * Senior, handson data engineer
 * Engineering generalist (not toolonly or reportingonly)
 * Comfortable working in ambiguous, fastmoving environments
 * Strong delivery and ownership mindset

## Description

Senior, handson data engineering contractor to support Modern data platform delivery across Health Payer Domains. This role requires independent ownership of endtoend data pipelines using modern cloud and Lakehouse architecture. This is a hitthegroundrunning role with minimal rampup., * Design, build, and operate endtoend data pipelines

 * Source ingestion transformation analyticsready datasets
 * Develop transformations and data models using SQL and Python
 * Implement automated data quality checks and validations
 * Follow Gitbased development
 * Collaborate with business/domain stakeholders on data rules and definitions
 * Ensure solutions are secure, auditable, reliable, and supportable
 * Produce clear technical documentation and operational notes

 4. Required Technologies (MustHave)

Candidates must have strong, recent handson experience with most of the following:

Languages:

 * SQL
 * Python (PySpark preferred)

Data Platforms / Storage:

 * Cloud data platforms (Azure preferred; AWS/Google Cloud Platform acceptable)
 * Azure Data Lake Storage Gen2 (ADLS Gen2) or equivalent
 * Object storage based data lakes
 * Parquet format
 * Lakehouse concepts (Iceberg and/or Delta)

Transformation & Modeling:

 * dbt (dbt Core and/or dbt Cloud)

Source Control, GitOps & CI/CD:

 * GitHub
 * Pull request based development
 * CI/CD pipelines (GitHub Actions or equivalent)

Compute (one or more):

 * Snowflake
 * Microsoft Fabric
 * Databricks

 5. Preferred / NicetoHave Technologies:

 * Microsoft Fabric Data Factory / Azure Data Factory
 * Fabric or Databricks Notebooks
 * Orchestration tools (Airflow, Dagster, or similar)
 * Healthcare / payer domain experience (Clinical, Claims, Provider)


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