We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Senior Software Engineer, Data Platform
Location
United States
Posted
2 days ago
Salary
Not specified
Job Description
Role Description
This role offers the opportunity to design, build, and operate large-scale data services that power critical healthcare applications and APIs. The Senior Software Engineer will work on high-volume, complex data pipelines, collaborating across engineering and product teams to deliver reliable, scalable, and cost-efficient solutions. You will tackle operational challenges, optimize data processing workflows, and contribute to platform evolution while ensuring data privacy and regulatory compliance. This position involves working with state-of-the-art technologies, including cloud data warehouses, streaming pipelines, and modern data frameworks, in a fast-paced startup environment with mission-critical impact. Ideal candidates are innovative, collaborative, and motivated by open-ended technical challenges that directly improve healthcare outcomes.
- Build, operate, and maintain scalable data services that drive applications, APIs, and data products.
- Collaborate with engineering and product teams to prototype, develop, and deploy new functionality.
- Ensure high data quality, accuracy, and freshness across large-scale datasets.
- Implement and optimize streaming pipelines and batch processing workflows using modern data technologies.
- Contribute to platform reliability, performance, and operational stability at scale.
- Stay current with emerging tools and technologies to improve efficiency and innovation in data services.
- Participate in cross-functional initiatives to enhance the platform’s functionality and compliance with regulatory requirements.
Qualifications
- Proven experience designing, developing, and operating operationally stable, scalable, and cost-efficient data services.
- Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
- Strong programming skills in Go, Python, or similar languages.
- Familiarity with data processing technologies such as Apache Spark, Apache Iceberg, dbt, or equivalent.
- Knowledge of deployment technologies (GitHub Actions, CircleCI), cloud platforms (AWS, Azure, GCP), and Infrastructure as Code (Terraform, CloudFormation).
- Experience working with large-scale datasets and distributed systems.
- Strong problem-solving, collaboration, and communication skills, with the ability to thrive in a startup environment.
- Experience with healthcare data and APIs, familiarity with FHIR and/or TEFCA standards is a plus.
Benefits
- Competitive compensation including base salary and equity.
- Comprehensive health insurance and wellness benefits.
- 401(k) plan with company match.
- Unlimited Paid Time Off and flexible work arrangements.
- Opportunity to work with a passionate team driving innovation in healthcare technology.
- Exposure to cutting-edge data technologies and mission-critical projects.
- Collaborative and supportive startup culture that encourages learning and growth.
Job Requirements
- Proven experience designing, developing, and operating operationally stable, scalable, and cost-efficient data services.
- Experience with cloud data warehouses such as Snowflake, BigQuery, Redshift, or Databricks.
- Strong programming skills in Go, Python, or similar languages.
- Familiarity with data processing technologies such as Apache Spark, Apache Iceberg, dbt, or equivalent.
- Knowledge of deployment technologies (GitHub Actions, CircleCI), cloud platforms (AWS, Azure, GCP), and Infrastructure as Code (Terraform, CloudFormation).
- Experience working with large-scale datasets and distributed systems.
- Strong problem-solving, collaboration, and communication skills, with the ability to thrive in a startup environment.
- Experience with healthcare data and APIs, familiarity with FHIR and/or TEFCA standards is a plus.
Benefits
- Competitive compensation including base salary and equity.
- Comprehensive health insurance and wellness benefits.
- 401(k) plan with company match.
- Unlimited Paid Time Off and flexible work arrangements.
- Opportunity to work with a passionate team driving innovation in healthcare technology.
- Exposure to cutting-edge data technologies and mission-critical projects.
- Collaborative and supportive startup culture that encourages learning and growth.
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