Design and build data integration and transformation pipelines that support analytics and business decision-making.

Develop data pipelines to integrate and transform data for analysis
Sequence and manage jobs and processes that transform data into data lake and data warehouse
Perform data profiling and create data documentation
Measure, enforce, and improve data quality using manual verification and automated data quality tests
Design and develop data models to represent information
Support analytic projects, including data extracts, demonstrations, and proof of data capabilities in the warehouse
Enable applied use of data by supporting other data users and helping stakeholders use data to meet objectives
Convene business meetings to understand data and business needs, capture agreement on business rules, and build consensus around data products and insights
Learn new technical concepts and software languages as needed
Provide additional support and complete other duties as assigned

2+ years professional experience developing software to solve business problems
Bachelor’s degree in Computer Science, Computer Information Systems, or a business degree with focus on data transformation (or analysis), or equivalent work experience
Basic understanding of programming design and coding techniques
Familiarity with the systems development life cycle
Understanding of database technologies and query semantics
Experience with public cloud database technologies, including: RedShift, SnowFlake, DataBricks, Azure Synapse, BigQuery
Experience programming with ETL or ELT technologies
Understanding of data warehouse data model theory and techniques
Python programming experience
Experience with data engineering system design and software implementation
Experience with all parts of the systems development life cycle
Experience leading and coordinating technical initiatives

Data Engineer

Job Description