Lead Data Engineer

Atticus

Completely RemoteFull TimeInformation Technology
Posted Today

Job description

About the Company

Atticus makes it easy for any sick or injured American to get life-changing aid. We are a leading platform connecting people with disabilities to government benefits and helping victims of accidents, misconduct, and violence get compensation from insurance.

Responsibilities

  • Own and operate the data warehouse, pipelines, and transformation layer
  • Design, build, and maintain scalable, reliable data pipelines from platform and third-party sources
  • Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance
  • Incrementally improve and modernize existing data systems
  • Implement data quality monitoring, alerting, and documentation practices

Requirements

  • 4+ years of professional experience in data engineering
  • Hands-on experience with BigQuery (or comparable cloud warehouse), dbt, and orchestration tools like Dagster or Airflow
  • Strong SQL skills
  • Fluency in Golang, Python, or another common Data Engineering language
  • Experience improving or modernizing data systems iteratively
  • Strong communication and collaboration skills

Preferred Qualifications

  • Experience transitioning data infrastructure from an outsourced model to an in-house team
  • Familiarity with data observability tools
  • Experience supporting data science functions and ML feature pipelines

Benefits

  • Medical and dental insurance with 100% of premiums covered for employees and families
  • 15 vacation days and ~20 paid holidays per year
  • Free membership to OneMedical
  • $600/year internet stipend
  • $1,000/year education and training stipend
  • Up to $1,200/year student loan repayment assistance
  • 401(k) and optional HSA/FSA
  • Equity for all employees

Skills & tools

BigQueryDBTPythonSQLAirflow

What the team is looking for

Use this list as a quick fit check before you apply.

  1. 014+ years data engineering experience
  2. 02BigQuery or comparable cloud warehouse
  3. 03dbt
  4. 04Dagster or Airflow
  5. 05Strong SQL
  6. 06Golang or Python
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