Sr. Manager, Data Engineering

Carrot
United States
Workplace: RemoteFull timeUSD 170,000 - 210,000 annuallyFunction: Data Analytics & Business IntelligenceExperience: 8-10 yearsSkills: ["Strategic leadership","Technical excellence","Organization and planning","Communication","Mentorship"]

Lead Carrot’s BI data engineering function as a senior people leader and hands-on architect. Set the technical vision and roadmap for ingesting, transforming, governing, and exposing data, while building production-grade ETL/ELT pipelines in Python and SQL. Architect data warehouse models for self-service BI and operational reporting, improve reliability and observability, and strengthen data quality, lineage, and governance in a regulated healthcare environment.

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Carrot
Carrot
3 days ago

Sr. Manager, Data Engineering

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Last checked: 9 hours agoStatus: Live

Job Summary

Lead Carrot’s BI data engineering function as a senior people leader and hands-on architect. Set the technical vision and roadmap for ingesting, transforming, governing, and exposing data, while building production-grade ETL/ELT pipelines in Python and SQL. Architect data warehouse models for self-service BI and operational reporting, improve reliability and observability, and strengthen data quality, lineage, and governance in a regulated healthcare environment.
Location: United States
Workplace: Remote
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Sr. Manager level

Key Responsibilities

  • •Own the technical vision and roadmap for BI data engineering, aligning it with company strategy and analytics needs.
  • •Design, build, and review scalable ETL/ELT pipelines and workflow orchestration systems, contributing hands-on production code in Python and SQL.
  • •Architect and optimize data warehouse models for advanced analytics, self-service BI, and operational reporting.
  • •Establish standards for reliability, observability, testing, and performance, and improve data quality, lineage, and governance.
  • •Lead, mentor, and develop a team of data engineers, including planning, prioritization, and execution across concurrent workstreams.

Pay and Benefits

Salary: USD 170,000 - 210,000 annually
Equity and Bonus:Equity
Perks:Health Insurance401kEquityParental Leave

Key Requirements

  • •8-10+ years of experience in data engineering or a closely related field, including 3-5+ years leading and managing data or software engineers.
  • •5+ years advanced SQL and 5+ years Python development in production environments, including unit and integration testing.
  • •Hands-on experience designing, building, and maintaining end-to-end ETL/ELT pipelines in production.
  • •Proficiency with cloud data platforms (e.g., Snowflake, AWS) and modern ingestion, transformation, and orchestration tools (e.g., Fivetran, dbt, Prefect, Airflow).
  • •Strong relational modeling and warehouse design knowledge, plus version control (Git preferred) and modern CI/CD practices.
Experience:8-10 yearsHealthcareRegulated industryData engineeringBIData governance
Skills:Strategic leadershipTechnical excellenceOrganization and planningCommunicationMentorship
Languages:English
Tech Stack:PythonSQLETLELTData warehouseSnowflakeAWSFivetranDbtPrefectAirflowGitCI/CDUnit testingIntegration testing

Company Brief

Carrot
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Industry: HealthTech
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