Job Summary
Launch your data engineering career by helping build reliable data pipelines and analytics-ready datasets. As an entry-level Data Engineer, you’ll work with experienced teammates to support data management integration, data modeling, and data warehousing across public cloud and SQL database environments. You’ll contribute to solutions that help teams access and use information effectively.
Duties
- Your impact: Build and maintain dependable data pipelines so analysts and business teams can access consistent, useful information.
- Support ETL (extract, transform, load) pipeline development, data warehouse design, and dimensional modeling.
- Assist with database design, query management, and data model design for Microsoft SQL Server, Oracle, and cloud databases.
- Help integrate linked data and data from RESTful application programming interfaces (APIs); contribute to analytics and model training workflows.
- Collaborate in an Agile software development process and document data engineering work.
Skills
- Essential: Foundational SQL and Python skills, analysis skills, and an understanding of data modeling, data management integration, and software development.
- Preferred: Exposure to AWS, Azure Data Lake, public cloud, big data systems, Hadoop, Apache Hive, Spark, Java, Bash (Unix shell), or shell scripting.
- Familiarity with Informatica or Talend, Looker or other business intelligence tools, analytics, data warehouses, SQL databases, and data warehousing design is an asset.
- Interest in big data and practical experience through coursework or projects are welcome; no specific experience threshold is stated.
Pay: $29.67 - $35.74 per hour
Benefits:
Work Location: In person
