Senior Data Engineer

Summary

Join Thirty Madison as a Senior Data Engineer and collaborate with a team of experienced engineers and analysts to build the future of digital health security. You will design and develop robust data architectures and pipelines, optimize data engineering systems, and collaborate with cross-functional teams. The role requires expertise in SQL, Python or Scala, data warehousing, and modern data technologies. Thirty Madison offers a competitive salary, benefits including health, dental, vision, 401k, and flexible time off, plus a generous vacation and happiness stipend. The company is committed to diversity and inclusion and encourages applications from all qualified individuals.

Requirements

• 5+ years of experience experience in Data Engineering, Data Science, Analytics Engineering, or similar field
• Expertise in SQL and proficient in at least one data engineering language, such as Python or Scala
• Experience with Looker and data visualization tools generally
• Excellent communication skills with a history of strong collaborations with technical and non-technical partners
• Experience with an ETL framework (e.g., Prefect, Airflow, or Dagster )
• Expertise with data warehousing and modeling. Hands-on experience with relational databases) and columnar databases (e.g., Snowflake, BigQuery, Redshift)
• Experience with the modern data technologies (Fivetran, Snowflake, dbt, Looker, Hightouch, Hex, or equivalents)
• Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans
• Ability to mentor and guide other data engineers
• Comfortability working in ambiguous environments where problems are not well-defined and evolve quickly

Responsibilities

• Design and develop robust data architectures and data pipelines to support data ingestion, processing, storage, and retrieval
• Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure
• Optimize data engineering systems and processes to handle large-scale data sets efficiently
• Design solutions that can scale horizontally and vertically
• Collaborate with cross-functional teams, such as data scientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs
• Effectively communicate complex technical concepts to non-technical stakeholders
• Develop audits for data quality at scale, implementing alerting and anomaly detection as necessary
• Model the business data layer (normalized and denormalized) that will expose data to downstream consumers, making our data more actionable and clean
• Create scalable dashboards and reports to support business objectives and enable data-driven decision making

Preferred Qualifications

• Experience influencing large organizations on technology or architecture direction
• Experience collaborating with ML engineers to develop and productionize models
• Side projects or open source contributions to data frameworks and tooling
• Experience with data governance within the healthcare industry

Benefits

• Competitive Salary + Annual Incentive Plan + Stock Option Package
• Robust and affordable Health, Dental, and Vision plan options
• 401k with a match, commuter benefits, and FSA
• Annual $750 vacation stipend and $500 happiness stipend
• Flexible time off policy
• Career growth opportunities