Senior Data Engineer at Enlitic | Powderkeg

Location: Remote

Employment Type: Full-time

Team: Engineering

About Us

We are shaping the next generation of diagnostic healthcare tools to help patients around the globe. By using AI and deep learning, we help Radiologists diagnose earlier and with more accuracy. We believe we are working on one of the biggest impact opportunities in healthcare and are deploying our technology around the globe. Our mission is to bridge human and artificial intelligence to advance medical diagnostics to improve patient outcomes. We have been featured on TED, CNN, WSJ, NYTimes, Inc, Fortune, named 5th smartest AI company by MIT Tech Review.

Opportunity Overview

The Data Science team is looking for a passionate, self-motivated, and hard- working data engineer to join a diverse, fast paced and high-energy team! We are seeking an experienced Data Engineer to build high quality, scalable and resilient distributed systems that power the analytics platform and data pipelines. You will develop some of the key components of the platform, collaborate with cross-functional teams to gather requirements, and mentor junior members on the team. At Enlitic we believe the impossible is possible and that together with our customers we can turn the impossible into real powerful solutions that impact the entire continuum of care for patients.

Candidates who have a passion for pushing technologies to the limits and will work with our team of talented engineers to design and build the next generation healthcare AI delivery platform, solutions, and decision support tools. This is a unique opportunity to join a growing team and have a significant impact across multiple healthcare platforms and products. To be successful in this position you will demonstrate a detailed knowledge of the industry’s best practices and evidence a professional track record of effective management, analysis, and a thorough understanding of software engineering and modern tech stacks.




-Bachelor's Degree in computer science or related field, or equivalent practical experience-


-5+ years’ experience in data analytics and/or data management

-Proficient in Python

-Experience in SQL, data modeling and managing databases

-Experience in building and optimizing ETL pipelines

-Experience with AWS or other cloud technology

-Proficient in data analysis and visualization

-Experience working with medical data (DICOM, HL7, EHR)

-Experience with Apache Spark + other big data tools

-Experience working with Apache Airflow

-Experience working with Postgres, Oracle, MS SQL

Position Responsibilities

-Design and manage large scale data systems with serverless, event-driven cloud technology, such as AWS Glue, Batch and Lambda

-Work closely with software engineers to build ETL pipelines around our data sources, applications, deployments, and integrations

-Support Machine Learning Engineers and Data Scientists to automate and optimize data discovery, access, and feature enrichment

-Support remote data ETL for deployments to partners and clients

-Collaborate with clinicians, product managers, researchers, regulatory experts, and IT stakeholders to tackle complex problems on a mission driven product team

-Participate in data modeling, schema design, and SQL development

-Ingest and aggregate data from both internal and external data sources to build our world class datasets

-Be involved in testing and fixing of new or enhanced solutions for data products and reports, including automating ETL testing

-Assist with the development and review of technical and end user documentation including ETL workflows, research, and data analysis

-Build monitoring dashboards and automate data quality testing

-Own meaningful parts of our service, have an impact, grow with the company


Our people love working here because they are challenged by unique and difficult problems in a nimble startup environment that is backed by five plus years of success in performance.

-Health, vision, and dental insurance

-Company paid Short Term Disability

-Company paid Long Term Disability

-Company paid employee Life Insurance

-Up to 10% 401k match

-Unlimited PTO

-$180 a month health and fitness stipend


-Annual Salary Range: $110K to $140K depending on experience

-Annual Bonus

Job Summary
  • Job Title
    Senior Data Engineer
  • Company
  • Location
    San Francisco, CA
  • Employment Type
    Full time
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