Data Engineering Manager

Confido

• $150K — $180K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 7+ years in data or analytics engineering, with at least 2 years in management roles.
  • Experience building and maintaining a data warehouse from an early or messy state.
  • Strong SQL and data modeling skills, with experience in production-level ETL/ELT pipelines.
  • Familiarity with tools like Snowflake, dbt, Airflow, or Dagster.
  • Track record of hiring engineers and mentoring them in their roles.
  • Ability to translate vague requests into actionable data strategies.
  • Comfortable balancing management tasks with active coding.

Responsibilities

  • Manage and develop the data team, including mentoring the Senior Analytics Engineer.
  • Determine project priorities and effectively communicate them across the company.
  • Make critical technical decisions regarding data warehouse design and management.
  • Recruit and onboard new data engineers as the team expands.
  • Establish standards for data modeling, testing, documentation, and monitoring.
  • Collaborate with various departments to define metrics and understand data needs.
  • Take responsibility for data accuracy and implement solutions to prevent issues.
  • Write SQL queries and oversee code reviews, especially in the initial phase.

Benefits

  • Equity - own a meaningful piece of the company you’re helping build.
  • Fully paid health coverage through Aetna - we cover 100% of employee premiums.
  • Top-tier dental and vision coverage through Guardian.
  • Carrot Fertility Pro - comprehensive fertility and family-forming support.
  • 12 weeks of paid parental leave.
  • Unlimited PTO - plus regular 4-day holiday weekends.
  • 401(k) through Vestwell.
  • Paid relocation support to NYC.
  • Fully equipped workspace with a personalization stipend.
  • Team perks including catered meals and unlimited snacks.
Full Job Description
THE ROLE

Data at Confido feeds customer-facing reports, internal dashboards, and a lot of day-to-day decisions. Right now it lives in too many places and is owned by too many people. We're hiring a Data Engineering Manager to fix that and to build the team that keeps it fixed.

You'll manage our Senior Analytics Engineer to start, and you'll hire as the team grows. For the first stretch you'll write a good amount of code yourself. Later, more of your time will go to hiring, planning, and working with other teams.

What You'll Do
  • Manage and develop the data team, starting with our Senior Analytics Engineer.
  • Decide what the team works on and in what order, and explain those calls to the rest of the company.
  • Make the big technical decisions on warehouse design, pipelines, orchestration, and tooling.
  • Hire data engineers as we grow. You'll write the job descriptions, run the interviews, and onboard new hires.
  • Set standards for modeling, testing, docs, monitoring, and on-call.
  • Work with Engineering, Product, Ops, and Customer teams to agree on metric definitions and figure out what data they actually need.
  • Be accountable when numbers are wrong or pipelines break, and put fixes in place so the same problems don't come back.
  • Write SQL, build models, and review PRs, especially early on.


What We're Looking For
  • 7+ years in data or analytics engineering, with at least 2 years managing engineers.
  • You've built a data warehouse from an early or messy state before, and you've kept it running afterward.
  • Strong SQL and data modeling skills. You've built and maintained ETL/ELT pipelines in production.
  • Experience with Snowflake, dbt, Airflow, Dagster, or similar tools.
  • You've hired engineers and helped them get better at their jobs.
  • You can take a vague request like "we need better reporting," figure out what's really needed, and turn it into a plan.
  • You're happy splitting your time between managing and building.


Success in This Role

A year in, people across Confido trust the data and know where to find it. There's one set of core models the whole company uses, pipelines break less often, and when they do break, someone notices before a customer does. The team is bigger than one person, and it has clear standards that new hires can pick up quickly.

Perks + Benefits
  • Equity - own a meaningful piece of the company you're helping build
  • Fully paid health coverage through Aetna - we cover 100% of employee premiums
  • Top-tier dental and vision coverage through Guardian
  • Carrot Fertility Pro - comprehensive fertility and family-forming support
  • 12 weeks of paid parental leave
  • Unlimited PTO - plus regular 4-day holiday weekends we actually take
  • 401(k) through Vestwell
  • Paid relocation support - we'll help you make the move to NYC
  • Fully equipped workspace from day one - laptop, monitor, keyboard, and a $200 stipend to personalize your setup
  • Team perks - catered Friday lunches, team dinners, and unlimited coffee + snacks featuring products from the brands we work with


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