Data Engineer
1 week ago
Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most-their patients.
Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems.
We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense.
The Role
Our generative AI-powered products are revolutionizing the practice of medicine, and we're looking for a highly motivated Data Engineer to join our growing US-based Data Engineering team. In this crucial role, you will build and optimize large scale data infrastructure to drive business decisions and machine learning research.
What You'll Do
- Build and maintain scalable data services, pipelines and storage solutions for the feedback of unstructured application data for ML training and evaluation purposes.
- Build and manage OLAP databases, ELTs and general data tooling for analytics , business decisions and products features.
- Work closely with a team of frontend and backend engineers, product managers, and analysts.
- Optimize data infrastructure to enhance the throughput, latency and reliability of the data system.
- Investigate and correct issues identified through data operations monitors, tools, and reports.
- Designs data integrations and data quality framework.
- 5+ years of experience in Data Engineering or Backend Engineering with a focus on data systems.
- Proficient in at least one general purpose programming language (e.g., Python, Java, Scala) and SQL (any variant)
- Proficiency with at least one modern cloud provider (GCP, AWS, Azure) and accompanying data services
- Experience in building systems that manage the ingest, transformation, and management of both structured and unstructured data types
- Deep knowledge of modern data infrastructure best practices
- Experience with distributed systems and different distributed processing frameworks
- Experience with Terraform, Kubernetes, and containerization technologies.
- Familiarity with the deploying ML models at scale a bonus
- Experience in building data products that are well-modeled, documented and easy to understand and maintain.
- Ability to prioritize amidst changing priorities in a fast moving environment
The salary range provided is based on transparent pay guidelines and is an estimate for candidates residing in the San Francisco and New York City metro areas. The actual base salary will vary depending on the candidate's location, relevant experience, skills, qualifications, and other job-related factors. Additionally, this role may include the opportunity to participate in a company stock option plan as part of the total compensation package.
Must be willing to work from our SF office at least 3x per week
This position requires a commitment to a hybrid work model, with the expectation of coming into the office a minimum of (3) three times per week. Relocation assistance is available for candidates willing to move to San Francisco.
Must be willing to travel up to 10%
Abridge typically hosts a three-day builder team retreat every 3-6 months. These retreats often feature internal hackathons, collaborative project sessions, and social events that allow the team to connect in person.
We value people who want to learn new things, and we know that great team members might not perfectly match a job description. If you're interested in the role but aren't sure whether or not you're a good fit, we'd still like to hear from you.
Why Work at Abridge?
- Be a part of a trailblazing, mission-driven organization that is powering deeper understanding in healthcare through AI
- Opportunity to work and grow with talented individuals and have ownership and impact at a high-growth startup.
- Flexible/Unlimited PTO - Salaried team members can take off as much approved time off as they need, plus 13 paid holidays
- Equity - For all salaried team members
- Medical insurance - We pay 100% of the premium for you + 75% for dependents. 3 Aetna plans to choose from.
- Dental & Vision insurance - We pay 100% of the premium for you + 75% for dependents. 2 Aetna plans to choose from.
- Flexible Spending (FSA) & Health Savings (HSA) Accounts
- Learning and Development budget - $3,000 per year for coaching, courses, workshops, conferences, etc.
- 401k Plan - Contribute pre-tax dollars toward retirement savings.
- Paid Parental Leave - 16 weeks paid parental leave, for all full-time employees
- Flexible working hours - We care more about what you accomplish than what specific hours you're working.
- Home Office Budget - We provide up to $1,600 in a one-time reimbursement to set up your home office.
- Sabbatical Leave - 30 days of paid Sabbatical Leave after 5 years of employment.
- ...Plus much more
At Abridge, we're driven by our mission to bring understanding and follow-through to every medical conversation. Our culture is founded on doing things the "inverse" way in a legacy system-focusing on patients, instead of the system; focusing on outcomes, instead of billing; and focusing on the end-user experience, instead of a hospital administrator's mandate.
Abridgers are engineers, scientists, designers, and health policy experts from a diverse set of backgrounds-an experiment in alchemy that helps us transform an industry dominated by EHRs and enterprise into a consumer-driven experience, one recording at a time. We believe in strong ideas, loosely held, and place a high premium on a growth mindset. We push each other to grow and expose each other to the latest in our respective fields. Whether it's holding a PhD-level deep dive into understanding fairness and underlying bias in machine learning models, debating the merits of a Scandinavian design philosophy in our UI/UX, or writing responses for Medicare rules to influence U.S. health policy, we prioritize sharing our findings across the team and helping each other be successful.
Diversity & Inclusion
Abridge is an equal opportunity employer. Diversity and inclusion is at the core of what we do. We actively welcome applicants from all backgrounds (including but not limited to race, gender, educational background, and sexual orientation).
Staying Safe - Protect Yourself From Recruitment Fraud
We are aware of individuals and entities fraudulently representing themselves as Abridge recruiters and/or hiring managers. Abridge will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Abridge recruiting team will come from an @abridge.com email address. You can learn more about how to protect yourself from these types of fraud by referring to this article. Please exercise caution and cease communications if something feels suspicious about your interactions.
-
High-Performance Data Processing Systems Engineer
24 hours ago
San Francisco, California, United States Braintrust Data Full timeAbout Braintrust DataWe are a cutting-edge developer platform for building world-class AI products. Our innovative approach combines code and datasets, incrementally refining both using frequent evaluations. We provide a rich set of tools to visualize changes and interrogate failures, empowering developers to integrate our platform into their continuous...
-
San Francisco, United States Amazon Data Services, Inc. Full timeThis unique vantage point allows the Design Managers to maintain a close connection with project details and drive project outcomes.You will have an impact on the design direction and ability to improve design delivery for an entire region, while establishing design procedures and protocols for the development of future systems.Responsibilities...
-
Staff Data Scientist
17 hours ago
San Francisco, United States Data Masked Full timeThis range is provided by Harnham. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range $200,000.00/yr - $250,000.00/yr Additional compensation types Annual Bonus and RSUs Data Science Focused Recruitment Consultant Title: Staff Data Scientist Location: Company based in SF, CA - willing to...
-
Experienced Data Scientist Machine Learning
7 days ago
San Francisco, United States Data Masked Full timeExperienced Data Scientist Machine Learning - Identity Verification We believe that the way people interact with their finances will drastically improve in the next few years. We’re dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions...
-
Experienced Data Scientist Machine Learning
5 days ago
San Francisco, United States Data Masked Full timeExperienced Data Scientist Machine Learning - Identity Verification We believe that the way people interact with their finances will drastically improve in the next few years. Were dedicated to empowering this transformation by building the tools and experiences that thousands of developers use to create their own products. Plaid powers the tools millions of...
-
Data Engineer
3 weeks ago
san francisco, United States Harnham Full timeData Engineer1 Year ContractHybrid (2 Days Onsite)$75-85/hrWe are partnered with a leading beauty retailer, delivering innovative and personalized beauty experiences to their customers. We are looking for a highly skilled Data Engineer to join the team and help enhance our data platforms and analytics capabilities. You will work with cutting-edge...
-
Data Engineer
3 weeks ago
San Francisco, United States Harnham Full timeData Engineer1 Year ContractHybrid (2 Days Onsite)$75-85/hrWe are partnered with a leading beauty retailer, delivering innovative and personalized beauty experiences to their customers. We are looking for a highly skilled Data Engineer to join the team and help enhance our data platforms and analytics capabilities. You will work with cutting-edge...
-
Data Engineer
3 weeks ago
san francisco, United States Harnham Full timeData Engineer1 Year ContractHybrid (2 Days Onsite)$75-85/hrWe are partnered with a leading beauty retailer, delivering innovative and personalized beauty experiences to their customers. We are looking for a highly skilled Data Engineer to join the team and help enhance our data platforms and analytics capabilities. You will work with cutting-edge...
-
Data Engineer
4 weeks ago
San Francisco, United States Legalist Full timeJob DescriptionJob DescriptionIntro description:Legalist is an institutional alternative asset management firm. Founded in 2016 and incubated at Y Combinator, the firm uses data-driven technology to invest in credit assets at scale. We are always looking for talented people to join our team.As a highly collaborative organization, our data engineers work...
-
Data Center Operations Specialist
2 weeks ago
San Francisco, California, United States Amazon Data Services, Inc. Full timeAbout Amazon Data Services, Inc.At Amazon Data Services, Inc., we're passionate about delivering exceptional customer experiences. As the world's most comprehensive and broadly adopted cloud platform, we're committed to innovation and excellence in all that we do.We're seeking a highly skilled Data Center Operations Specialist to join our team. In this...
-
Lead Data Science Architect
5 days ago
San Francisco, California, United States Windfall Data, Inc. Full timeWindfall Data, Inc. is seeking a seasoned data professional to play a pivotal role in developing and scaling our foundational predictive models.This is a highly impactful position where you will influence the core of our data product offerings and collaborate with cross-functional teams to maintain the highest standards of model performance.We're on a...
-
Lead Data Engineer
3 weeks ago
san francisco, United States Unreal Gigs Full timeDescriptionCompany Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building scalable and reliable data infrastructure that enables advanced analytics, machine learning, and business...
-
Lead Data Engineer
4 months ago
San Francisco, United States Unreal Gigs Full timeCompany Overview: Welcome to the forefront of data-driven innovation! Our company is dedicated to harnessing the power of data to drive transformative change and solve complex problems across industries. We're committed to building scalable and reliable data infrastructure that enables advanced analytics, machine learning, and business intelligence. Join us...
-
Data Engineer
3 days ago
San Francisco, United States Glocomms Full timeAs the Founding Data Engineer, you will play a pivotal role in establishing and building out the data organization within the Finance and Strategy department. Your primary responsibilities will include building a data warehouse, developing customer reporting systems, transforming data, and leveraging AI to solve business problems. This role requires a...
-
Software Engineering Lead
16 hours ago
San Francisco, California, United States People Data Labs Full timeRole OverviewWe are seeking an exceptional Software Engineering Lead to join our team at People Data Labs. This role is a fantastic opportunity to drive our self-serve product offerings, grow new revenue, and develop innovative data products.
-
Data Engineer
1 week ago
San Francisco, United States Diverse Lynx Full timeDesign, build, and maintain scalable and efficient data platform using data engineering technologies such as Glue, EMR, Athena, Redshift, Lake Formation, Apache Spark, Hive, HDFS and Trino. • Build/manage data pipelines, and common data related cross cutting concerns like data catalog, data lineage, data quality, data profiling, data discovery, metadata...
-
Data Engineer
1 week ago
San Francisco, United States Coastal Carbon Full timeWho are we? Coastal Carbon is a seed-funded startup on a mission to create positive impact through earth observation and AI. Founded at the University of Waterloo by a team of PhDs and engineers, we're backed by some of the best AI and climate tech investors like HF0, Inovia Capital and Propeller Ventures, angels like James Tamplin (cofounder Firebase) and...
-
Data Engineer
2 weeks ago
San Francisco, United States ZipRecruiter Full timeJob DescriptionAre you passionate about designing, building, and maintaining data pipelines that support robust data architectures and facilitate seamless data flow? Do you excel in creating scalable solutions that empower data-driven decision-making? If you’re ready to develop and optimize data systems that drive impactful analytics, our client has the...
-
Data Engineer for Scalable Data Pipelines
5 days ago
San Francisco, California, United States Trunk Full timeWe're on a mission to empower software organizations to deliver high-quality projects quickly. Our unique approach enables engineering teams to stay focused on designing and implementing software, leading to the creation of magical projects and happier teams.Our team is growing rapidly, with our founders leveraging their experience from some of the world's...
-
Senior Data Engineer
5 days ago
San Francisco, California, United States WEX, Inc. Full timeJob Overview:WEX, Inc. is seeking a highly motivated and experienced Senior Data Engineer to join our Data team. As a key member of the team, you will be responsible for designing, developing, and implementing large-scale data platforms and systems that support business-critical applications.About the Role:In this role, you will work closely with...