Lead Data Engineer

🕒 April 21

🇺🇸 United States – Remote

💵 $174k - $230k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 29%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Atticus

WebsiteLinkedInAll Job Openings

51 - 200 employees

🏥 Healthcare

🛡️ Insurance

⚖️ Legal

Healthcare • Insurance • 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 the data warehouse, pipelines, and transformation layer • Design, build, and maintain scalable, reliable data pipelines ingesting data from the platform and third-party sources • Ensure data is available and trustworthy for downstream consumers • Partner with data scientists and analysts to deliver clean, well-documented datasets • Optimize query performance • Assess, prioritize, and thoughtfully migrate existing data systems • Implement data quality monitoring, alerting, and documentation practices • Translate business needs into well-designed data products • Collaborate with Engineering, Business Operations, data scientists, business analysts, and product leaders • Help shape data engineering processes, standards, and team culture as the function grows

🎯 Requirements

• 4+ years of professional experience in data engineering • Hands-on experience with the modern data stack • Proficiency with BigQuery or a comparable cloud warehouse • Proficiency with dbt • Experience with an orchestration tool like Dagster or Airflow • Strong SQL skills • Fluency in Golang, Python, or another common Data Engineering language • Track record of improving or modernizing data systems iteratively • Comfortable inheriting legacy infrastructure and systems and making them progressively better • Strong communication and collaboration skills across technical and business-oriented teams • Experience transitioning data infrastructure from an outsourced or contractor model to an in-house team (bonus / nice-to-have) • Familiarity with data observability tools (bonus / nice-to-have) • Experience supporting or collaborating with a data science function, including ML feature pipelines (bonus / nice-to-have) • Currently reside in the United States • Must answer whether visa sponsorship will be required now or in the future

🏖️ Benefits

• Equity for all employees • Medical and dental insurance with 100% of premiums covered for employees and their families • 15 vacation days & ~20 paid holidays each year (including two weeks at end-of-year) • Free membership to OneMedical • $600/year internet stipend • $1,000/year reimbursable stipend for education and training outside of work • Up to $1,200/year student loan repayment assistance • 401(k) • Optional HSA/FSA • Travel to LA on the company dime as needed to be with colleagues • Quarterly in-person gatherings and offsites