Analytics Engineering Manager

EvolutionIQ • New York, NY

1d • $0 - $250,000

About The Position

EvolutionIQ's mission is to deliver state-of-the-art technology that helps insurance claims teams make claims handling more accurate, fair, and efficient, so that more people impacted by injury or illness can continue their lives with dignity and stability. We are currently experiencing massive growth and to accomplish our goals, we are hiring world-class talent who want to help build and scale internally, and transform the insurance space. Our team is our #1 priority, and we have been named one of Inc.’s Best Workplaces 3 years in a row and Built In’s Best Places to work in 2025 and 2026!

The Mission: We are looking for an Analytics Engineering Manager (Tech Lead Manager) to lead and scale our growing Analytics Engineering team. In this role, you will act as a "player/coach"—combining deep technical expertise in data modeling and architecture with a passion for mentoring and managing people.
As part of our centralized Data Organization, your team will sit at the intersection of Data Engineering, Data Science, and Business Analytics. You will be responsible for building the robust, scalable data foundation that empowers our analysts to uncover insights and our data scientists to build predictive models, while directly managing the engineers making it happen.

Requirements

• 5+ years of experience in analytics engineering, data engineering, or a highly technical data analytics role, with 1-2+ years of experience directly managing or leading engineers (e.g., Tech Lead or Team Lead).
• Expert-level SQL skills with the ability to write, optimize, and debug complex queries across large datasets.
• Deep understanding of data warehousing concepts, ETL/ELT pipelines, and modeling methodologies (e.g., Kimball, Data Vault).
• Hands-on experience with production-grade data warehouses (e.g., Snowflake, BigQuery, Databricks) and transformation tools like dbt (data build tool).
• Proficiency in Python or a similar language for writing custom data scripts, data tests, or orchestration tasks.
• Strong familiarity with Git workflows, CI/CD pipelines, and data quality testing frameworks.
• Exceptional communication skills with a proven track record of bridging the gap between highly technical engineering teams and business-facing stakeholders.

Nice To Haves

• Experience with data orchestration tools (e.g., Airflow, Prefect, Dagster).
• Familiarity with data governance, security, and access control frameworks.
• Background working in a high-growth startup or a scaling tech environment.

Responsibilities

• Lead the design, development, and maintenance of our centralized data warehouse layers using robust dimensional modeling practices.
• Own and optimize our modern data stack (MDS), ensuring high performance, cost-efficiency, and reliability across our ingestion, transformation, and orchestration pipelines.
• Set the standard for software engineering practices within data—including version control (Git), CI/CD, data testing, observability, and comprehensive documentation.
• Partner closely with Data Science and Business Analytics to understand their data needs, translating complex business logic into clean, reusable data models.
• Manage, mentor, and support a small, high-performing team of analytics engineers, fostering a culture of continuous learning, psychological safety, and technical excellence.
• Conduct regular 1-on-1s, define clear performance goals, provide actionable feedback, and guide team members through their career growth paths.
• Manage the team’s sprint planning, prioritization, and roadmap, balancing technical debt with high-impact business requests.
• Actively participate in recruiting and onboarding as we scale the team.

Benefits

• Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching.
• Additional family, wellness, and pet benefits.
• Paid time off and sick leave.
• 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers).
• Flexible schedule for new parents returning to work.
• Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
• $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Education Level: No Education Listed