Landing.jobs - Data Engineer Mid/Senior

At Promptly Health (Permanent / Contractor)
Expires at: 2025-06-09
Remote policy: Global remoteWhat's Promptly in a nutshellAn end-to-end provider of Real-World Evidence solutions, generating new knowledge from high-quality harmonized datasets. What's our purposeWe exist to empower every patient and every health organization on the planet with evidence on the outcomes of care!Why do we get up in the morning? Well, most healthcare professionals have chosen to work in healthcare driven by their desire to make a difference in patients' lives. And so have we! We have chosen to follow this calling by addressing the biggest problem in healthcare: the lack of real-world evidence on the outcomes of care. For us, society denying patients better care due to lack of access to data is unethical, in a world where technology improved so many aspects of our world. Making the right evidence available to healthcare organizations to help prevent one lost life, one care complication, one failed treatment is the moral obligation that big tech companies have - it's our Hippocratic Oath. At Promptly, everything we do is driven by our core purpose: to promote better healthcare at lower costs for patients every day, by making health outcomes available. What you'll be expected to do

• Build the infrastructure required for optimal extraction, transformation and load from a wide variety of data sources
• Build, maintain and improve rock solid ETL pipelines
• Experience with some commonly known technologies as Apache Airflow, Spark, Dagster, Trino, AWS redshift, ClickHouse, Airbyte, etc
• Keep data secure
• Enforce privacy and security by design
• Collaborate with engineering and product team to build a high-quality data-driven product
• Strong intuition to interpret trends and patterns
• Prepare data for prescriptive and predictive modeling
• Being self-driven, have a pro-active mindset and sense of ownership
• Collaborate with a team of other talented people
• Use best practices and excel at what you do
• Troubleshooting and problem solving using high performance solutions
• Choose the right tool/tech-stack for the job

• Full-time
• Remote-first

• Advanced SQL and Python skills
• Proven experience as a Data Engineer should include a track-record of scaling data analytics products from small pilots to live, well-functioning products working for thousands (millions) of people
• Experience building and optimizing big data pipelines, architectures and data sets
• Strong analytical skills related to working with unstructured data sets
• Experience with AWS technologies
• Experience with common data science and Big Data
• Great numerical and analytical skills
• Experience working with Health Data frameworks (e. g. OMOP-CDM) is a plus
• Great communication skills
• Data-oriented personality
• Design and write efficient and well-structured test procedures
• Writing test specifications, test case scenarios, and performing continuous testing
• Review requirements, specifications, and technical design documents
• Create quality measurements to track improvement in products
• Collaborating with the Engineering team, working with an agile and continuous delivery mindset
• You will work across our product squads, collaborating closely with the Head of Product and the CTO
• Support and train the development team to improve attention to detail and testing skills
• Responsible for the product quality assurance
• Create high-quality documentation that meets applicable standards

• Ownership, defining your own career pathway
• A unique growth opportunity, being one of the firsts on a fast-growing team that will make healthcare better and have a significant impact in people's lives
• Fantastic working environment, with a young and enthusiastic, and talented 30+ team coming from highly reputed players from Healthcare to Unicorn Startups, and leading Multinational
• Financial benefits
  • Competitive salary
  • Annual bonus
  • Equity compensation via our ESOP (open to ALL team members of our team)
  • Private health insurance
  • Allowance for home-office equipment
• Non-financial benefits
  • Equal opportunity and inclusive environment
  • Flexible work schedule
  • Flexible vacation policy
  • Corporate events (all-hands; retreats; . )