Manager, Analytics Engineering

Extend

. Hire, onboard, develop, and manage the performance of the analytics and data engineering team .

Posted 9/30/2026full-timeRemote • United StatesJuniorMid-Level💰 $165,000 - $195,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing analytics and data engineering teams, with a strong focus on advanced SQL, dbt, and cloud data infrastructure. Capable of translating business needs into effective data models while ensuring high data quality and operational efficiency.

Highest-signal resume keywords

Team ManagementAdvanced SQLDbt ExperienceAWS GluePipeline Engineering

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Advanced SQLDimensional ModelingDbtPythonCloud Data Infrastructure

Soft Skills

Clear Written CommunicationStrong Prioritization Judgment

Tools & Technologies

AWS GlueStep FunctionsLambdaCDKSnowflake

Industry Keywords

Data EngineeringAnalytics EngineeringIncident ResponseData QualityBusiness Intelligence

Tech Stack

Tools & technologies

AWSCloudPythonSQL

About the role

Key responsibilities & impact

Hire, onboard, develop, and manage the performance of the analytics and data engineering team
Set the technical bar and own the dbt repository as a shared platform
Review pull requests, make architecture decisions, and establish standards for tests, documentation, CI, and change control
Own the Snowflake warehouse, dbt, source ingestion and freshness, external tables, and AWS Glue/CDK jobs
Model core business domains including orders, contracts, claims, and service orders
Lead platform migrations, including moving dbt execution to Snowflake-native tooling, and retire legacy components
Partner with internal stakeholders to translate business questions into models and shape roadmap priorities
Improve data quality through schema validation, freshness monitoring, and critical-service audits
Run on-call, monitoring, alerting, incident triage, and root-cause follow-through
Enable self-service through documentation, semantic consistency, and BI access
Automate operational work using AI-assisted workflows for alert triage, refresh requests, and file processing
Report to the Senior Engineering Manager, Data Engineering while leading a remote team

Requirements

What you’ll need

2+ years managing engineers on a data or analytics engineering team, including hiring, performance, and career development
Advanced SQL and dimensional modeling
Deep dbt experience, including version control, testing, pull request review, CI, and change control
Pipeline engineering experience with Python and cloud data infrastructure
Experience with AWS Glue, Step Functions, Lambda, and CDK
Experience running on-call for a data platform, building alerting, and leading incident response
Experience supporting analysts, data scientists, or quantitative teams
Ability to translate business questions into data models
Clear written communication for architecture proposals, incident reviews, and tradeoff summaries
Strong prioritization judgment
Extend does not provide immigration-related sponsorship for this role

Benefits

Comp & perks

Competitive salary based on experience
Full medical benefits
Dental and vision benefits
Stock in an early-stage startup growing quickly
Generous, flexible paid time off policy
401(k) with Financial Guidance from Morgan Stanley
Collaborative and supportive environment
Diverse team