<h3>Job Description</h3><div>Job Description<div><div><div><div><div><div><div><div><div><div><div><div><div><div><div><p><strong>Databricks Lead Data Engineer</strong></p><p>Full Time</p><p>Remote - San Diego, CA, US </p><p><strong>Salary Range: </strong>$200,000 To $260,000 Annually</p><p><strong>Databricks Lead Data Engineer – K2 Insurance Services</strong></p><p>K2 Insurance Services, LLC seeks a full-time Lead Databricks Data Engineer to spearhead our data engineering initiatives, focusing on designing, building, and optimizing scalable data solutions using Databricks. As a leader, you will supervise a team of data engineers, collaborate with cross-functional stakeholders, and define best practices to unlock the full potential of our data.</p><p>K2 Insurance Services offers the opportunity to join an established company in growth mode. Our compensation program includes competitive pay; bonus plan; medical, dental, and vision insurance; paid time-off in year of hire; and 401(k) with employer match. </p><p>Salary Range: $200,000 To $260,000 USD per year</p><p></p><p><strong>Key Responsibilities: </strong></p><ul><li><strong>Leadership & Strategy:</strong><ol><li>Supervise and mentor a team of data engineers in implementing Databricks-based ETL/ELT solutions.</li><li>Define and drive the data engineering strategy, ensuring alignment with business goals.</li><li>IT Product Owner role for organizational data warehouse project.</li></ol></li><li><strong>Databricks Expertise:</strong><ol><li>Design and develop scalable data pipelines and ETL/ELT processes using Databricks.</li><li>Optimize and tune Spark jobs for performance and efficiency.</li><li>Develop and enforce best practices for Databricks cluster management and data security.</li></ol></li><li><strong>Data Architecture:</strong><ol><li>Build and maintain robust data models to support analytics and reporting needs.</li><li>Integrate Databricks with various data sources (cloud storage, databases, APIs).</li><li>Implement Delta Lake for reliable, scalable, and performant data lakes.</li></ol></li><li><strong>Collaboration:</strong><ol><li>Work closely with data scientists, analysts, and stakeholders to deliver actionable insights.</li><li>Act as the technical liaison between the data engineering team and other stakeholders.</li></ol></li><li><strong>Innovation & Optimization:</strong><ol><li>Stay updated on the latest Databricks and Azure features to drive continuous improvements.</li><li>Automate repetitive processes and streamline data workflows.</li></ol></li></ul><p><strong>Qualifications:</strong></p><ul><li>Proven experience (10+ years) in data engineering, with 2+ years as a team supervisor or equivalent role.</li><li>Expertise in Databricks, including Spark, Delta Lake, Delta Live Tables, and MLFlow.</li><li>Proficiency in Python, SQL, and at least one cloud platform (Azure, AWS, or GCP).</li><li>Hands-on experience with data lakes, data warehouses, and big data technologies.</li><li>Strong understanding of CI/CD pipelines and infrastructure as code (IaC).</li><li>Excellent problem-solving and communication skills.</li><li>Prior insurance industry experience is a strong plus.</li></ul><p><strong> </strong></p><p><strong>Preferred Skills:</strong></p><ul><li>Familiarity with Databricks Unity Catalog and Lakehouse architecture.</li><li>Experience with workflow orchestration tools.</li><li>Knowledge of machine learning pipelines and integrations.</li><li>Certifications in Databricks, Azure, AWS, or GCP.</li><li>Previous IT product owner role.</li></ul></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div></div>

Data Engineer K2 Insurance Services, Llc Jobs

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Data Engineer K2 Insurance Services, Llc Jobs

Databricks Lead Data EngineerMarch 6, 2025

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Databricks Lead Data Engineer
March 6, 2025

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