Bachelor's Degree in Computer Science, MIS, Mathematics, Business Analytics, or STEM
3+ years of professional Data Development experience
3+ years of experience with Databricks
3+ years of experience with PySpark/Spark
3+ years of experience developing in Python or Java
Strong understanding of ETL and Data Warehousing concepts
Experience with CI/CD and version control software
Responsibilities
Drive features through all phases of the SDLC
Design and develop Databricks and Cloud-based solutions
Implement automated unit and integration testing
Collaborate with architecture and lead engineers for consistent practices
Mentor junior engineers
Translate analytical needs into reliable data pipelines
Prepare and validate governed data for analytics
Benefits
Comprehensive health plans including medical, dental, and vision
401(k) with Roth option and matching contributions
Health Savings Account with matching contributions
Generous paid time off including 5 weeks of vacation and 7 wellness days
Paid leave for maternity, paternity, and family care
Full Job Description
Take ownership of features and drive them to completion through all phases of the entire 84.51° SDLC. This includes internal and external facing applications as well as process improvement activities:
Participate in the design and development of Databricks and Cloud-based solutions
Implement automated unit and integration testing
Collaborate with architecture and lead engineers to ensure consistent development practices
Provide mentoring to junior engineers
• Collaborate within a cross-functional team of data scientists, Product partners, and engineers to translate analytical needs into reliable data pipelines and scalable solutions
Participate in retrospective reviews
Participate in the estimation process for new work and releases
Collaborate with other engineers to solve and bring new perspectives to complex problems
Drive improvements in data engineering practices, procedures, and ways of working
Embrace new technologies and an ever-changing environment
Prepare, validate, and organize governed data and metadata to support reliable analytics and downstream data consumers.
QUALIFICATIONS, SKILLS, AND EXPERIENCE
Bachelor's Degree (Computer Science, Management Information Systems, Mathematics, Business Analytics, or STEM)
3+ years proven ability of professional Data Development experience
3+ years proven ability of developing with Databricks
3+ years of experience with PySpark/Spark
3+ years of experience developing with either Python or Java
Full understanding of ETL concepts and Data Warehousing concepts
Experience with Pipeline Orchestration
Experience with CI/CD
Experience with version control software
Strong understanding of Agile Principles (Scrum)
Experience preparing and validating data for downstream consumers, with an emphasis on data quality, governance, and clear metadata documentation.
BONUS POINTS FOR EXPERIENCE IN THE FOLLOWING
Experience with Azure
Experience with Databricks Delta Tables, Delta Lake, Delta Live Tables
Proficient with Relational Data Modeling
Experience with Python Library Development
Experience with Structured Streaming (Spark or otherwise)
Experience with Kafka and/or Azure Event Hub
Experience with Github SaaS / Github Actions
Exposure to BI Tooling (Tableau, Power BI, Cognos, etc.)
Experience with Kubernetes and Azure Kubernetes Service (AKS).
Experience building APIs with FastAPI.
#LI-AB1
Pay Transparency and Benefits
The stated salary range represents the entire span applicable across all geographic markets from lowest to highest. Actual salary offers will be determined by multiple factors including but not limited to geographic location, relevant experience, knowledge, skills, other job-related qualifications, and alignment with market data and cost of labor. In addition to salary, this position is also eligible for variable compensation.
Below is a list of some of the benefits we offer our associates:
Health: Medical: with competitive plan designs and support for self-care, wellness and mental health. Dental: with in-network and out-of-network benefit. Vision: with in-network and out-of-network benefit.
Wealth: 401(k) with Roth option and matching contribution. Health Savings Account with matching contribution (requires participation in qualifying medical plan). AD&D and supplemental insurance options to help ensure additional protection for you.
Happiness: Paid time off with flexibility to meet your life needs, including 5 weeks of vacation time, 7 health and wellness days, 3 floating holidays, as well as 6 company-paid holidays per year. Paid leave for maternity, paternity and family care instances.
Base Pay Range
$121,000-$169,000 USD
About 84.51
84.51° is a wholly owned subsidiary of The Kroger Co. and is based in Cincinnati, Ohio. The company was founded in 2015 and provides data analytics and customer insights to Kroger and other consumer-packaged goods companies. The name 84.51° refers to the longitude of the company's headquarters in Cincinnati.
