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Tier-1 employer and metro location increase applicant density, but senior specialization limits pool.
Core data engineering skills are transferable but SOX/finance context and principal seniority increase domain specificity.
Explicit 10+ years requirement plus principal-level and specific Databricks/AWS/ETL skills enforce strict filters.
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Architect and develop solutions for ingesting, maintaining, enhancing, and exposing internal data across the company.
Lead technical design and project work for data engineering challenges involving the Data Lake, collaborating with multiple teams and stakeholders to support strategic initiatives.
Contribute to modernizing infrastructure by transitioning from SQL to Databricks and AI-based solutions while ensuring security and SOX compliance.
Bachelor’s or Master’s degree in Computer Science or equivalent.
10+ years of software engineering experience with deep expertise in data engineering.
Proficiency in Python, SQL, ETL pipelines, AWS technologies including EC2, and experience with relational databases.
Work Experience Required: Proven track record as a Lead or Principal Software Engineer; Databricks experience highly preferred.
Experienced in leading technical projects and influencing engineering decisions at a senior level without direct managerial duties.
Comfortable collaborating with non-technical stakeholders across corporate functions such as Finance, Sales, and Executives.
Ready to work in a data-driven environment focused on enterprise solutions with strong emphasis on security and regulatory compliance.