Senior Data Engineer

Job Summary: Our client is seeking a Senior Data Engineer to join their team! This position is remote. Duties: • Design and implement scalable data pipelines using Azure Databricks and Azure Data Factory • Ensure performance, reliability, security, and compliance in all data engineering solutions • Collaborate across teams to define technical direction and support platform-level decisions • Deliver high-quality, timely releases aligned with business goals, technical standards, and data governance policies • Drive improvements in system reliability, scalability, and maintainability through refactoring and documentation • Mentor and coach team members • Partner with leaders to align priorities, maintain standards, and support team growth • Participate in agile processes and recruitment efforts to strengthen the engineering team Desired Skills/Experience: • Bachelor's degree required • 4+ years of relevant experience required • Cloud Engineering across Azure or AWS and Databricks experience required • Experience designing and building enterprise data pipelines, databases/data warehouses, and system integrations (APIs, ETL, or middleware) • One or more of the following preferred: Databricks Certified Data Engineer Associate, Databricks Certified Data Engineer Professional, AWS Certified Data Engineer – Associate Google Certified Professional Data Engineer, Microsoft Certified: Azure Data Engineer Associate Benefits: • Medical, Dental, & Vision Insurance Plans • Employee-Owned Profit Sharing (ESOP) • 401K offered The approximate pay range for this position starting at $120,000-$145,000. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.