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

Requirements

Bachelor's degree in engineering or related field (e.g., Computer Science, Software Engineering or a related field)
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 solutionsdata governance

Soft Skills

stakeholder communicationmentorshipleadershipproblem-solvingquality assurancetechnical discussionsarchitecture reviewssolutioningproject managementclear communication

Certifications

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