Data Engineer

Jenzabar

8d•$85,000 - $100,000

About The Position

The Data Engineer V leads the design, development, and optimization of scalable data pipelines and analytics platforms. This role partners closely with product, analytics, and engineering teams to deliver high-quality, reliable data solutions that drive business insights.

Requirements

Proficient programming / scripting in Python, SQL
Proficiency in cloud data platforms (Azure preferred)
Experience building data pipelines that ingest, transform, and load source data into curated data models
Experience with data pipeline orchestration and workflow tools
Strong working knowledge of Git-based version control workflows
Strong proficiency in SQL Server including query optimization and performance tuning
Demonstrated ability to scope and deliver projects within timelines
Ability to collaborate effectively with cross-functional teams to deliver data-driven solutions
Strong problem-solving skills and operates with high autonomy and ownership
8 years of relevant experience

Nice To Haves

Experience in programming / scripting in PySpark, Databricks SQL, DAX
Experience with data modeling techniques (star schema, dimensional modeling)
Experience in creating PowerBI reports
Experience delivering projects within Agile/Scrum environments
Experience in communicating complex technical concepts to non-technical stakeholders
Experience following existing coding standards
Bachelor’s degree in Computer Science or relevant field

Responsibilities

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and Spark
Design and maintain processes to integrate and transform source data into curated, analytics-ready data layers
Collaborate with product, analytics, and engineering teams to translate business needs into data solutions
Maintain data documentation including data dictionaries and lineage
Work with SQL Server, including querying and managing data
Leverage AI-enabled tools and analytics to enhance decision-making, improve efficiency, and drive measurable business outcomes when appropriate.
Apply sound judgment and ethical standards when using AI, ensuring accuracy, data privacy, and responsible human-in-the-loop oversight.
Other duties as assigned