Get Well is hiring a highly motivated Senior Data Software Engineer to help build and scale our modern cloud-native data platform that supports AI, analytics, and clinical applications. You'll focus on developing robust and compliant data processing workflows while working closely with platform and architecture teams to operationalize next-generation, healthcare-specific data systems.
This role is ideal for an experienced engineer passionate about transforming complex healthcare data into meaningful applications through engineering excellence, collaboration, and innovation. You will play a key role in the continued growth of our data platform and help ensure that our data systems are secure, reliable, and high-performing within the healthcare industry.
Candidates must have hands-on software development experience with at least one healthcare company—preferably in the provider space—with exposure to EHRs and core healthcare data domains.
ResponsibilitiesData Engineering & Pipeline Development- Design, implement, and maintain scalable batch and real-time data pipelines across a variety of sources and formats.
- Develop high-performance ETL/ELT workflows using tools and frameworks such as Apache Spark, Databricks, dbt, and Snowflake.
- Collaborate with Staff Engineers and Architects to translate platform architecture into executable, maintainable solutions.
- Automate data orchestrations using Airflow or other workflow managers to enable continuous data processing and delivery.
- Ingest and normalize healthcare datasets (e.g., EHR, FHIR, HL7, CCDA, Claims) in accordance with internal data models.
- Work with governance and compliance teams to meet regulatory requirements including HIPAA and GDPR.
- Implement best practices for encryption, data masking, access control, and auditability across the platform.
- Support efforts around metadata management, data lineage, and structured logging for traceability and transparency.
- Tune Spark-based pipelines and SQL transformations for performance, reliability, and resource efficiency.
- Participate in code reviews, unit testing, and CI/CD processes to ensure code quality and maintainability.
- Work collaboratively across product, informatics, and DevOps teams to translate business needs into technical solutions.
- Contribute to documentation, analytics enablement, and reusability of shared platform components.
- Mentor junior engineers through code reviews, paired programming, and collaborative development practices.
- Model and advocate for engineering best practices, including clean architecture, effective testing, and proactive monitoring.
- Stay current with trends in distributed systems, cloud-native computing, data privacy, and healthcare interoperability.
- Propose and implement technical upgrades and innovative approaches based on tools like Delta Lake, Apache Iceberg, and emerging GenAI capabilities.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related technical field.
- 6+ years of relevant experience in data engineering roles, with at least 3 years focused on cloud-native or large-scale data systems.
- Must have software development experience in at least one healthcare company, preferably in the provider space, with exposure to EHR systems or key healthcare data domains.
- Direct experience designing and building pipelines that move and transform healthcare data, with production-quality data quality checks at scale.
- Proficient in Python, SQL, and Apache Spark for distributed processing and transformation.
- Hands-on experience with modern data platforms—such as Snowflake, Databricks, Redshift, or BigQuery.
- Deep experience working with public cloud providers, particularly Azure, including native services for data storage, processing, and orchestration (e.g., Azure Data Lake, Azure Synapse).
- Experience with orchestration tools like Airflow and transformation layers such as dbt.
- Familiar with data pipelines in regulated environments, including auditing, encryption, and compliance controls.
- amiliarity with healthcare-specific data formats (FHIR, HL7, EDI) and terminologies (ICD-10, SNOMED, LOINC).
- Strong problem-solving skills with a focus on quality, performance, and pragmatism.
- Excellent communication and teamwork skills, with the ability to work across multidisciplinary teams.
- High accountability and ownership mindset with a commitment to excellence in healthcare technology.
About GW RhythmX
GW RhythmX is revolutionizing healthcare through connected, AI-native intelligence that unites clinical insight, patient engagement, and system-wide care orchestration. The company combines market-leading AI precision care technology with extensive trusted patient engagement leadership to help health systems deliver the right care, at the right time, through the right clinician and channel. Its solutions are deployed across more than 150 health systems, touching more than 85M patients including 8M U.S. military veterans. The company's award-winning solutions were recognized again in 2024 by KLAS Research, Fierce Healthcare, and AVIA Marketplace. A SymphonyAI Group company, GW RhythmX leverages various firm assets, including $1B+ in R&D investment, longitudinal data related to 300 million patients, 4.4 billion total annual claims, and 1.8 million healthcare professionals at more than 3,000 facilities globally.
GW RhythmX is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age or veteran status.
