Analytics Engineering Manager

United States·New Yorkmid

OtherAnalytics Engineering Manager

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Quick Summary

Key Responsibilities

Technical Leadership & Execution (60% "Player") Data Architecture & Modeling: Lead the design, development,

Technical Tools

OtherAnalytics Engineering Manager

Responsibilities

~1 min read

Data Architecture & Modeling: Lead the design, development, and maintenance of our centralized data warehouse layers using robust dimensional modeling practices.
Tooling & Infrastructure: Own and optimize our modern data stack (MDS), ensuring high performance, cost-efficiency, and reliability across our ingestion, transformation, and orchestration pipelines.
Code Quality & Best Practices: Set the standard for software engineering practices within data—including version control (Git), CI/CD, data testing, observability, and comprehensive documentation.
Cross-Functional Collaboration: Partner closely with Data Science and Business Analytics to understand their data needs, translating complex business logic into clean, reusable data models.

Team Leadership: Manage, mentor, and support a small, high-performing team of analytics engineers, fostering a culture of continuous learning, psychological safety, and technical excellence.
Career Development: Conduct regular 1-on-1s, define clear performance goals, provide actionable feedback, and guide team members through their career growth paths.
Resource Allocation: Manage the team’s sprint planning, prioritization, and roadmap, balancing technical debt with high-impact business requests.
Hiring & Scaling: Actively participate in recruiting and onboarding as we scale the

Experience: 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).
SQL Mastery: Expert-level SQL skills with the ability to write, optimize, and debug complex queries across large datasets.
Data Modeling Expert: Deep understanding of data warehousing concepts, ETL/ELT pipelines, and modeling methodologies (e.g., Kimball, Data Vault).
Modern Data Stack: Hands-on experience with production-grade data warehouses (e.g., Snowflake, BigQuery, Databricks) and transformation tools like dbt (data build tool).
Programming: Proficiency in Python or a similar language for writing custom data scripts, data tests, or orchestration tasks.
Software Mindset: Strong familiarity with Git workflows, CI/CD pipelines, and data quality testing frameworks.
Communication: Exceptional communication skills with a proven track record of bridging the gap between highly technical engineering teams and business-facing stakeholders.

Nice to Have

~1 min read

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.

What We Offer

~1 min read

✓Compensation: The base salary range is up to $250K, with flexibility depending on a candidate’s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our generous compensation package.

✓Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.

✓Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.

✓Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.

✓Growth & Training: $1,000/year for each employee for professional development, as well as opportunities for tuition reimbursement.

✓Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa.

Location & Eligibility

Where is the job

New York, United States

On-site at the office

Who can apply

Listing Details

Posted: June 11, 2026
First seen: June 11, 2026
Last seen: June 13, 2026

Posting Health

Days active: 0
Repost count: 0
Trust Level: 60%
Scored at: June 11, 2026

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Evolutioniq

greenhouse

EvolutionIQ is an AI-powered claims guidance platform for the insurance industry, designed to improve claims processing, reduce costs, and help injured individuals recover faster.

Employees

125

Founded

2019

Domain

evolutioniq.com

Jobs

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Salary

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