Senior Manager, Data Engineering

🕒 April 4

🏈 Alabama, Alaska, +44 more states – Remote

🏈 Alabama – Remote 🐻 Alaska – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🐊 Florida – Remote 🌺 Hawaii – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🐎 Kentucky – Remote ⚜️ Louisiana – Remote 🦞 Maine – Remote 🦬 Montana – Remote 🌾 Nebraska – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🌶️ New Mexico – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🌾 North Dakota – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🎸 Mississippi – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote ⚓ Rhode Island – Remote 🌴 South Carolina – Remote 🗿 South Dakota – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⛷️ Utah – Remote 🍁 Vermont – Remote ⚔️ Virginia – Remote ☕ Washington – Remote ⛰️ West Virginia – Remote 🧀 Wisconsin – Remote 🦬 Wyoming – Remote

💵 $128.1k - $252.2k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Mercury Insurance

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 1962

💸 Finance

👥 B2C

Insurance • Finance • B2C

Mercury Insurance is a leading provider of insurance products, focusing on protecting individuals and their assets with a commitment to privacy and customer service. The company operates through independent agents and offers a range of insurance services including auto, home, and other personal insurance products. Mercury Insurance prioritizes the security of personal information and compliance with privacy laws, ensuring that customer data is handled with care and only shared when necessary for account servicing or as legally required.

📋 Description

• Manage and guide data teams with hands-on experience to execute on enterprise data strategy. • Provide technical guidance for the team, raise the bar on the latest data technologies, and mentor data resources. • Design, develop, and implement end-to-end EDW data processing encompassing multiple Data Marts. • Build and manage scalable data pipelines to load EDW and data science environments. • Automate data operations to manage 100s of pipelines. • Automate data validation and testing of pipelines. • Collaborate with engineering teams to productionize data pipelines with high reliability and performance.

🎯 Requirements

• BS in Computer Science or Equivalent. MS Preferred. • 5-10 years People Management Experience: experience managing, mentoring, and growing high-performing teams of data and analytics engineers. • Architectural Expertise: Proven experience redesigning foundational data pipelines and enterprise data models with the ability to make high-quality decisions regarding grain, entities, relationships, and slowly changing dimensions. • Strong Modeling Standards: Mastery of modern modeling patterns (3NF, dimensional, and Star/Snowflake) and the ability to guide teams toward structures that support real-world business processes and analytics. • Operational Excellence: A passion for data reliability, including the implementation of data quality frameworks, observability, and guardrails to reduce manual processes and technical debt. • Technical Skills: Expert-level proficiency in SQL, Python, and production experience with Informatica, DBT (models, tests, packages), along with familiarity with orchestration tools (Airflow, Tivoli, or Dagster). Data streaming(Kafka or similar) knowledge preferred. • Modern Stack Experience: Hands-on experience with Lakehouse/Warehouse technologies (Redshift, Databricks, Snowflake, or BigQuery) and layered architecture (Bronze/Silver/Gold). • Engineering Best Practices: A commitment to automation-first principles, using Git, CI/CD, and DRY patterns within a cloud environment (AWS/GCP/Azure). • Data Leadership: A "data product" mindset rather than a "ticket" mindset, with the ability to translate business problems into requirements, prioritize roadmaps, and manage stakeholders. • Experience in leveraging GenAI/LLMs(OpenAI/Claude/Gemini) to solve time-consuming critical problems. • Experience in an Insurance, SaaS, or marketplace environment is a plus.

🏖️ Benefits

• Competitive compensation • Flexibility to work from anywhere in the United States for most positions • Paid time off (vacation time, sick time, 9 paid Company holidays, volunteer hours) • Incentive bonus programs (potential for holiday bonus, referral bonus, and performance-based bonus) • Medical, dental, vision, life, and pet insurance • 401 (k) retirement savings plan with company match • Engaging work environment • Promotional opportunities • Education assistance • Professional and personal development opportunities • Company recognition program • Health and wellbeing resources, including free mental wellbeing therapy/coaching sessions, child and eldercare resources, and more