developing and optimizing scalable data pipelines to support critical analytics and business intelligence
designing, building, and maintaining data models and architectures that enable efficient storage, retrieval, and processing of large-scale datasets
working with key stakeholders to define the business problem, determine requirements, and ensure quality deliverables
managing and prioritizing data engineering roadmaps in partnership with business leaders, translating strategic objectives into actionable work items and clear delivery plans
implementing best‑practice data governance, data quality, and data security standards, ensuring that pipelines and datasets are reliable, well‑documented, and compliant with organizational requirements
facilitating regular stakeholder communication, providing updates on progress, risks, and dependencies while ensuring expectations are aligned across technical and non‑technical audiences
conducting code reviews and enforcing data engineering best practices

Requirements

Bachelor's degree in engineering or related field (e.g., Computer Science, Software Engineering or a related field)
Must be passionate about contributing to an organization focused on continuously improving consumer experiences
Proven track record of managing technical initiatives from planning to delivery, maintaining high standards of quality, and guiding engineers through mentorship and best practice adoption
Ability to lead technical discussions, architecture reviews, and solutioning
5+ years of experience as a Data Engineer or similar role
3+ years of hands-on experience with Databricks
Proficient in designing and implementing ETL/ELT workflows with strong expertise in Python, PySpark, and SQL
Experience designing and implementing cloud-based big data solutions using Azure, AWS, or GCP
Solid understanding of version control (Git), CI/CD pipelines, and software development lifecycle (SDLC) best practices
Excellent communication skills and the ability to convey complex data in a clear and concise manner

Benefits

medical, dental and vision benefits
401(k) retirement savings plan
time off (including paid time off, company and personal holidays, volunteer time off, paid parental and caregiver leave)
short-term and long-term disability
life insurance
many other opportunities

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data pipelinesdata modelsdata architecturesETL workflowsELT workflowsPythonPySparkSQLcloud-based big data solutionsversion control

Soft Skills

communication skillsmentorshipleadershipstakeholder managementproblem-solvingcollaborationquality assurancetechnical discussionsguidanceexpectation management

Certifications

Bachelor's degree in engineeringBachelor's degree in Computer ScienceBachelor's degree in Software Engineering