Sr Data Engineer
Overview
Client is a venture-backed startup, prior to Series A, on a mission to transform health care.
Our platform is designed to empower large provider groups and health systems to succeed in value-based care contracts with payers by improving patient outcomes and reducing cost of care through better coordination, analytics, and disease management. We are building a scalable operating system for managing complex conditions across the healthcare spectrum.
This is a rare opportunity to join a mission-driven founding team at a pivotal stage and help define the future of healthcare technology, with the power to improve the lives of patients.
The Role
Client is seeking a skilled and dedicated developer to join our Engineering team. As a software engineer at Client, you show a clear passion for quality and love to bring software to life. You are energized by the idea of building something new and want to work on problems that matter.
In order to do this job well, you must be a curious and eager problem solver with a hunger for building well-designed, high-quality solutions. You have a passion for great work and strive to produce simple solutions to complex problems. Knowing there are always multiple answers to a problem, you know how to engage in a constructive dialogue to find the best path forward.
When applying, please include a description of why you’re interested in this role.
What You'll Do
● Design and Architect Data Systems: Lead the design, construction, installation, and
optimization of highly reliable, scalable, and secure data architecture.
● Develop Data Pipelines: Build and maintain complex, production-grade data pipelines to
ingest, process, and enrich large volumes of healthcare data.
● Data Quality and Governance: Establish and enforce data quality standards, monitoring,
and validation processes to ensure the accuracy, completeness, and consistency of data
used for analytics.
● Performance Optimization: Implement query tuning, indexing, and partitioning strategies
to maximize the performance and efficiency of data processing systems and data retrieval.
● Cloud Infrastructure: Design and deploy scalable, secure, cloud infrastructure leveraging
infrastructure-as-code best practices.
● Safeguard Data: Ensure strict compliance with healthcare data regulations (e.g., HIPAA,
HITRUST) and implement data security best practices.
What We're Looking For
● Experience with healthcare data regulations (e.g., HIPAA, HITRUST) and data formats (e.g.
FHIR)
● Bachelor's degree in Computer Science, Software Engineering, or related field, or
equivalent work experience
● Minimum 5 years of dedicated professional experience in a Data Engineering role,
preferably within a startup or fast-paced healthcare technology environment.
● Expert proficiency in SQL and at least one programming language used for data processing
(Python or Scala).
● Deep experience designing and managing Data Warehouses (e.g., Snowflake, Google
BigQuery, AWS Redshift) and experience with Data Lake technologies (e.g., S3, Delta Lake).
● Demonstrated hands-on experience with Big Data processing frameworks like Apache
Spark or Dask.
● Deep understanding of cloud platforms (AWS preferred) and cloud-native development,
including services like S3, Lambda, and RDS.
● Hands-on experience with workflow orchestration tools such as Apache Airflow or AWS
Step Functions for managing data pipelines.
● Expert knowledge of system architecture, scalability, and performance optimization for
data systems.
● Experience with test automation, CI/CD, and DevOps best practices for data deployments.
● Ability to work independently and make high-impact technical decisions.
● Must be legally authorized to work in the United States and not require employer
sponsorship now or in the future
Why Join
● Competitive salary and equity in an early-stage startup. The starting salary for this role is
● Opportunity to define the technical solution from the ground up
● Possibly fully remote work environment with flexible hours
● Health benefits, learning stipends, and professional development support
● A collaborative and transparent company culture that values creativity and ownership
Preferred of healthcare IT / data experience;