Data Engineer

Overview

Hybrid
$90,000 - $110,000
Full Time

Skills

Data Modeling
Data Warehouse
ELT
Microsoft Azure
Microsoft Power BI
PySpark
Python
Stored Procedures
Snowflake
SQL

Job Details

We re seeking a Data Engineer to design, build, and optimize data pipelines and analytics solutions. This role focuses on SQL, Python, Snowflake, Power BI, and Azure Data Factory, supporting business intelligence, reporting, and automation initiatives.

< data-start="527" data-end="556">Key Responsibilities</>

  • Develop and maintain ETL/ELT pipelines using Azure Data Factory and related Azure services.

  • Build and optimize data models and transformations for analytics and reporting.

  • Write efficient SQL queries, views, and stored procedures for data integration and validation.

  • Manage and optimize data in Snowflake to support scalable cloud data warehousing.

  • Create and enhance Power BI dashboards to deliver actionable insights.

  • Use Python (pandas, PySpark, etc.) for automation and data manipulation.

  • Ensure data quality, reliability, and performance across systems.

  • Leverage Git/GitHub and Azure DevOps for version control and CI/CD processes.

< data-start="1270" data-end="1293">Qualifications</>

  • Strong skills in SQL and Python for data transformation and automation.

  • Hands-on experience with Snowflake and Azure Data Factory (Synapse or Logic Apps a plus).

  • Knowledge of data modeling, ETL/ELT pipelines, and Power BI.

  • Familiarity with Azure DevOps, Git, and general cloud data architecture.

  • Excellent analytical and communication skills.

  • Bachelor s degree in Computer Science, Data Engineering, or related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.