Senior Data Engineer (P1754) (P1752)

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Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with the Kroger Family of Companies (i.e. H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status)

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