Data & Analytics Engineer II

Praxis Precision Medicines, Inc.
4hRemote

About The Position

We’re looking for a Data and Analytics Engineer II who brings both technical excellence and systems thinking to help us scale our data infrastructure and insights delivery. You’ll lead the development of robust pipelines, intuitive dashboards, and analytics tooling that directly supports our clinical, research, and operational priorities. You’ll act as a thought partner to our data science and business teams, help elevate our engineering standards, and explore emerging technologies—including the use of AI—to improve efficiency and impact. This role is ideal for someone who thrives in a fast-moving, low-ego environment where data makes a difference for real patients.

Requirements

  • Bachelor’s degree required; Master’s degree preferred in a technical field such as Computer Science, Engineering, Data Science, or related disciplines
  • 3-5+ years of hands-on experience in a data engineering, analytics engineering, or data science role
  • Proficient in Python, R, SQL, and Power BI, with experience operationalizing analytics at scale
  • Strong experience with Git and collaborative development workflows
  • Experience designing data architectures and maintaining complex pipelines
  • Familiarity with Databricks and cloud platforms (e.g., AWS, Azure)
  • Interest or experience in applying AI to streamline or augment data workflows
  • Excellent communication skills with a demonstrated ability to work across technical and non-technical teams

Nice To Haves

  • Experience working with patient-level data or in regulated environments (e.g., HIPAA, GxP, FDA)

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT pipelines that support cross-functional data needs
  • Build, deploy, and optimize Power BI dashboards and other reporting tools to support strategic decision-making
  • Write well-structured, testable code in Python, R, and SQL to support analytics workflows
  • Lead the development and enforcement of version control, documentation, and coding standards
  • Partner with data scientists to bring analytics products from prototype to production
  • Identify and integrate AI-driven tools to enhance data processing and reporting capabilities
  • Mentor junior team members and contribute to a culture of knowledge sharing and continuous improvement

Benefits

  • 99% of the premium paid for medical, dental and vision plans
  • company-paid life insurance, AD&D, disability benefits, and voluntary plans to personalize your coverage
  • match dollar-for-dollar up to 6% on eligible 401(k) contributions and sweeten the deal with long-term stock incentives and ESPP
  • discretionary quarterly bonus
  • extremely flexible wellness benefit
  • generous PTO, paid holidays and company-wide shutdowns
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service