13 days ago
Chicago, IL, USA or Cincinnati, OH, USASenior
Base Salary
$121k - $169k/yr
Responsibilities
- Design and develop Databricks and cloud-based data solutions.
- Build reliable data pipelines and scalable solutions for analytical needs and downstream consumers.
- Prepare, validate, organize, and govern data and metadata with an emphasis on data quality.
- Implement automated unit and integration testing.
- Collaborate with architecture, lead engineers, data scientists, product partners, and other engineers.
- Drive features through all phases of the software development lifecycle.
- Mentor junior engineers and improve data engineering practices, procedures, and ways of working.
- Participate in estimation, release planning, retrospective reviews, and complex problem solving.
Requirements
- Bachelor’s degree in Computer Science, Management Information Systems, Mathematics, Business Analytics, or another STEM field.
- At least 3 years of professional data development experience.
- At least 3 years of experience developing with Databricks.
- At least 3 years of experience with PySpark or Spark.
- At least 3 years of experience developing with Python or Java.
- Strong understanding of ETL, data warehousing, data quality, data governance, and metadata documentation.
- Experience with pipeline orchestration, CI/CD, version control software, and Agile principles including Scrum.
- Preferred experience with Azure, Databricks Delta Tables, Delta Lake, Delta Live Tables, relational data modeling, Python library development, and Structured Streaming.
- Preferred experience with Kafka or Azure Event Hub, GitHub SaaS or GitHub Actions, Tableau, Power BI, Cognos, Kubernetes, AKS, and FastAPI.
Benefits
- Five-day in-office work schedule.
- Medical, dental, vision, mental health, and wellness support.
- 401(k) with Roth option and matching contribution.
- Health Savings Account with matching contribution for eligible medical plan participants.
- AD&D and supplemental insurance options.
- Five weeks of vacation, seven health and wellness days, three floating holidays, and six company-paid holidays annually.
- Paid maternity, paternity, and family care leave.
Tech Stack
Categories
Data Engineering
About 84.51˚
84.51° is a retail data science, insights, and media company that builds analytics platforms and retail media solutions for The Kroger Co. and consumer packaged goods brands. It commercializes Kroger first-party loyalty data through products such as 84.51° Insights and Kroger Precision Marketing to support targeting, measurement, and merchandising decisions. Founded in 2015 and headquartered in Cincinnati, it operates as a privately held company offering subscriptions, consulting, and managed media services.