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Senior Manager, Data Engineering

3 weeks, 1 day ago
United States
Full-time
Lead
Data Engineer
DevOps and Infrastructure
Apache Airflow CI/CD dbt GCP Kafka Python Snowflake SQL
Apply Now
Unite Us

Unite Us

Unite Us offers a whole person care platform that connects healthcare providers, government agencies, and community organizations to create coordinated care networks, enabling them to address the comprehensive needs of individuals by integrating social...

Diversified Consumer Services
251-1K
Founded 2013
$195M raised
View All Jobs 8

Description

  • Lead, mentor, and develop a team of data engineers while supporting technical excellence and career growth.
  • Manage team performance from both technical and people leadership perspectives.
  • Own the on-call rotation structure and reduce operational toil through automation and self-service tooling.
  • Design and implement data architecture and infrastructure aligned with business goals and the company platform.
  • Drive performance, cost efficiency, data modeling standards, access controls, and query optimization for the data lakehouse.
  • Establish engineering best practices for code review, testing, CI/CD, monitoring, and incident response.
  • Champion documentation practices, including runbooks, architecture decision records, and onboarding guides.
  • Own the team roadmap, including priorities, sequencing, and execution against business goals.
  • Manage capacity planning, sprint planning, and roadmap prioritization with stakeholders.
  • Partner cross-functionally to translate data and business requirements into scalable pipeline and platform solutions.

Requirements

  • 7+ years of experience with a track record of building and scaling high-performing engineering teams and delivering high-quality software solutions.
  • 3+ years of direct management experience with product-focused engineering teams.
  • Experience with cross-functional collaboration, data-driven performance tracking, and customer or stakeholder engagement.
  • Experience owning production data pipelines at scale, ideally with Apache Airflow.
  • Deep hands-on experience with Snowflake or a comparable cloud data warehouse such as Redshift or BigQuery.
  • Strong SQL skills and proficiency in at least one scripting language, with Python preferred.
  • Experience with modern data stack tools such as dbt, Fivetran, Airbyte, Kafka, or similar.
  • Experience with data governance, lineage, or data quality frameworks.
  • Experience operating in a regulated or compliance-sensitive data environment.
  • BS/BA in Computer Science or equivalent experience.

Benefits

  • Target salary range of $190,000-$215,000.
  • Remote U.S.-based work arrangement.
  • Medical, dental, and vision insurance, including unlimited virtual mental health and acute medical visits.
  • Mental health benefits, including an Employee Assistance Program and wellness platform subscription.
  • Flexible time off, including volunteer days, mental health days, and 14 paid company holidays.
  • Paid parental leave, including for adoptive parents.
  • 401(k) with employer match, immediate vesting, and financial wellness resources.
  • Company-provided home office equipment for remote work.

Interested in this position?

Apply directly on the company website

Apply Now

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