Lead Data Engineer

🕒 April 21

🇺🇸 United States – Remote

💵 $174k - $230k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

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Atticus

51 - 200 employees

Legal

Atticus is a law firm dedicated to helping individuals navigate the complexities of obtaining various types of aid, such as disability benefits, workers' compensation, and veterans' benefits, from government and insurance agencies. The firm emphasizes its commitment to cutting through bureaucracy and providing fast, effective, and personalized legal assistance. Atticus offers free advice through a team of in-house, Stanford-trained lawyers and matches clients with vetted law firms who work on a contingency fee basis. With high ratings and numerous positive client testimonials, Atticus is trusted for its expertise and client-focused approach in delivering better outcomes than attempting the process alone.

📋 Description

• Own and operate our data warehouse, pipelines, and transformation layer • Design, build, and maintain scalable, reliable data pipelines that ingest data from across our platform and third-party sources, ensuring data is always available and trustworthy for downstream consumers • Partner with data scientists and analysts to deliver clean, well-documented datasets and optimize query performance so teams spend less time wrangling data and more time generating insights • Incrementally improve and modernize our existing data systems - you won't build everything from scratch, but you'll know how to assess what we have, prioritize what matters, and migrate thoughtfully • Implement data quality monitoring, alerting, and documentation practices that build trust across the organization

🎯 Requirements

• 4+ years of professional experience in data engineering, ideally at a high-growth startup or fast-moving team within a larger organization • Hands-on experience with the modern data stack - proficiency with BigQuery (or a comparable cloud warehouse), dbt, and an orchestration tool like Dagster or Airflow • Strong SQL skills and fluency in Golang, Python, or another common Data Engineering language • Track record of improving or modernizing data systems iteratively - you're comfortable inheriting legacy infrastructure and systems and making them progressively better • Strong communication and collaboration skills - able to work fluidly across both technical and business-oriented teams

🏖️ Benefits

• Medical and dental insurance with 100% of employee premiums covered • 15 vacation days & ~20 paid holidays each year (including two weeks at end-of-year) • Free membership to OneMedical • $600/year reimbursable stipend for internet service • $1,000 reimbursable stipend for education and training outside of work • Up to $1,200/year student loan repayment assistance • 401(k) and optional HSA/FSA

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