Remote Databricks Data Engineer - Migration Project

Global Technical Talent, Inc.

Boise (ID)

Remote

USD 110,000 - 140,000

Full time

4 days ago
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Benefits offered by this job

Medical, Vision, and Dental
401k Retirement Fund

Job summary

Global Technical Talent, Inc. is seeking a Data Engineer 3 for a 6-month contract in Boise, ID. The role supports a Databricks migration engagement and is 100% remote with onsite flexibility.

Responsibilities include designing Databricks ingestion pipelines, building silver and gold tables, collaborating with BI teams, and performing tests and reviews to ensure data quality. 4+ years of related experience preferred.

Qualifications

  • Strong SQL experience with queries, tables, and updates (T-SQL).
  • ETL development using Azure Databricks, DBSQL, SSIS, and SQL Server.
  • Experience ingesting data from diverse sources (RDBMS, XML/JSON, flat files, APIs).
  • Knowledge of data warehousing concepts, data models, and performance tuning.

Responsibilities

  • Ingests: design Databricks ingestion pipelines leveraging various sources.
  • Designs silver and gold tables in Databricks from existing SQL Server solutions.
  • Collaborates with BI analysts/devs to implement data models.
  • Prepares and participates in design/code reviews per standards.
  • Tests and troubleshoots reporting solutions; resolves complex issues.
  • Ensures compliance with HIPAA and corporate privacy policies.

Skills

SQL Proficiency
ETL Expertise
Data Ingestion
Database Expertise
Data Warehousing Design
Communication/Collaboration

Tools

Azure Databricks
DBSQL
Microsoft SQL Server
Transact SQL
SSIS
Power BI
Epic
Health Catalyst

Job description

Global Technical Talent, Inc. is seeking a Data Engineer 3 for a 6-month contract in Boise, ID. The role supports a Databricks migration engagement and is 100% remote with onsite flexibility.

Responsibilities include designing Databricks ingestion pipelines, building silver and gold tables, collaborating with BI teams, and performing tests and reviews to ensure data quality. 4+ years of related experience preferred.

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