
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.
🕒 April 21
Improve your chances of getting an interview by checking your resume score before you apply.

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.
• 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
• 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
• 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
Apply Now🕒 April 20
Senior Software Engineer building backend services and APIs for Lithic's modern card issuing platform. Collaborating with teams to make data accessible across the organization.
Airflow
AWS
Cloud
Django
Flask
Kafka
Python
SQL
Terraform
🕒 April 20
Experienced Data Engineer supporting large-scale Oracle to Snowflake migration at Eitacies Inc. Collaborating with onsite and offshore teams in a fully remote role.
ETL
Oracle
SQL
🕒 April 17
Senior Data Engineer responsible for constructing and optimizing data pipeline architecture at Foodsmart. Collaborating closely with cross-functional teams to ensure efficient data delivery and success of data initiatives.
🇺🇸 United States – Remote
💵 $150k - $200k / year
⏰ Full Time
🟠 Senior
🚰 Data Engineer
🦅 H1B Visa Sponsor
Airflow
Amazon Redshift
Apache
BigQuery
Cloud
Java
JavaScript
MySQL
Node.js
Postgres
Python
RDBMS
Scala
SQL
TypeScript
🕒 April 17
Senior Data Engineer at Sightline Payments, overseeing data engineering and cloud-based solutions. Collaborating across teams to prepare and deliver complex data sets for improving customer-centric omnichannel experience.
🇺🇸 United States – Remote
💵 $140k - $160k / year
💰 Corporate Round on 2022-10
⏰ Full Time
🟠 Senior
🚰 Data Engineer
Azure
Cloud
ETL
MongoDB
MS SQL Server
NoSQL
SDLC
SQL
🕒 April 16
Senior Platform Data Engineer managing clinical data pipelines for AI readiness at Geisinger. Owning shared data products and leading data ingestion and transformation efforts.
Kafka
Pandas
PySpark
Python
Spark
SQL
Unity