data
Posted Feb 4Senior Data Engineer
at Prompt
GlobalHybrid
Requirements
- We’ve established ourselves as the go-to platform in the space and are rapidly growing our market share by delivering software people love.
- Responsibilities - Drive Prompt’s mission to improve healthcare through high-quality, actionable data that informs client and internal decision-making - Own the design, development, and iteration of complex data systems — from raw data ingestion through transformation, modeling, and downstream analysis - Perform exploratory analysis and hypothesis-driven investigations to surface insights and guide both client-facing and internal decision-making - Leverage modern AI and LLM-powered tools (e.g., code
- experience designing, building, and operating end-to-end data workflows—from raw data ingestion through transformation, modeling, and downstream analysis - Proven ability to work with complex, messy, and evolving data sources and turn them into reliable, well-modeled datasets -
- Experience performing exploratory and hypothesis-driven analysis to inform product, operational, or client-facing decisions - Strong judgment around data quality, correctness, observability, and maintainability in production data systems - Strong proficiency in Python and SQL for data transformation, analysis, and pipeline development -
- Experience leveraging modern AI and LLM-powered tools (e.g., code assistants, agents, automation frameworks) to accelerate data engineering and analysis workflows - Strong problem-solving mindset and ability to operate effectively in ambiguous, fast-paced environments - Interest in a hands-on, high code-contribution role; this is not an engineering management position, though growth opportunities exist over time Nice-to-Haves -
- Experience with complex healthcare datasets – including patient care, operations, and billing data - Hands-on
- experience with analytics engineering tools such as dbt for data transformations and metabase for building analytics dashboards (or other data transformation and dashboarding tools) -
- Experience working in AWS (e.g., S3, Athena, RDS, Redshift, DMS, Glue, ECS, Lambda, or similar services) -
- Experience working with relational databases and warehouses (e.g., PostgreSQL, Athena, Redshift, Snowflake, BigQuery) -
Experience
- Qualifications - 4+ years of
Benefits
- Experience building internal or client-facing analytics products used by multiple teams or customers Perks - What you can expect: - Competitive salaries - Remote/hybrid environment - Potential equity compensation for outstanding performance - Flexible PTO - Company-wide sponsored lunches - Company paid disability and life insurance
- benefits - Company paid family and medical leave - Medical, dental, and vision insurance
- benefits - Discounted pet insurance - FSA/DCA and commuter
- benefits - 401k - Complimentary subscription to digital fitness classes and wellness content - Recovery suite at HQ – includes a cold plunge, sauna, and shower Here at Prompt, we are committed to fostering a fair and respectful work environment.
Additional details
- Job Title: Senior Data Engineer Prompt is a mission-driven startup looking for an experienced Senior Data Engineer to help push forward an ambitious set of data initiatives in healthcare, with a particular emphasis on making data actionable to drive decision making.
- Prompt delivers highly automated and modern B2B enterprise software to rehab therapy businesses, their teams, and most importantly the patients they serve.
- As we scale, data is becoming increasingly central to how we make decisions and drive improvement.
- Comfort developing hypotheses, modeling datasets, and analyzing that data to guide client and internal decision making is essential.
- This role will contribute to internal and external facing data and analytic products – helping drive extraordinary outcomes for our clients and their patients while internally driving efficiency and decision-making across Product, Client Success, Growth, and Operations.
- This is a high-ownership role focused on iteratively building systems, partnering closely with stakeholders, and ensuring our data products deliver real value.
- experience building data systems, including data pipelines, transformations, and analytical datasets - Strong
- As part of this commitment, it is our policy not to hire individuals from Prompt Customers unless they have obtained their current employer's explicit consent.
- We believe in upholding strong professional relationships and respecting the agreements and commitments our customers have with their employees.
- We appreciate your understanding and cooperation regarding this policy.