VITech is looking for a talented Senior Software Engineer in our offices and remotely to join a new team working on a project in the healthcare domain.
About the client
Our client is one of the biggest players in the population health management sector and leading it several years in a row by supporting healthcare organizations to achieve financial success in value-based care (recognized as Best in KLAS in Value-Based Care Managed Services). The company delivers enterprise-level transformational healthcare outcomes.
About the project
The team specialize in developing data ingestion, transformation, and eligibility-filtered data brokerage services that ensure compliant, secure, cost-effective, and scalable delivery of healthcare datasets. The project has architectural impact, opportunity for domain and technology growth, autonomy at work, high trust and collaborative team culture.
Project technical stack
- Programming Languages: Java, Scala
- Data Processing & Transformation: Apache Spark, DBT (via dbt-spark), Apache NiFi
- Orchestration & Deployment: Kubernetes, Argo Workflows, Argo CD, Helm
- Build & CI/CD: Gradle, Maven, GitHub Actions
- Other Tools & Context: GitHub (code repository)
Responsibilities
- Contribute as a senior software engineer to the migration of legacy data connectors and ETL workflows to a modern architecture using Apache Spark and DBT.
- Design and implement scalable data pipelines for ingestion, transformation, and export.
- Work with structured and semi-structured data delivered via SFTP, REST APIs, and stored in AWS S3.
- Contribute to orchestration and deployment using Argo Workflows, Argo CD, and GitHub Actions.
- Collaborate with engineers and architects to analyze legacy code and propose improved data flow designs.
- Write clean, testable code and build reusable components for common ingestion and processing logic.
- Monitor and troubleshoot pipelines in staging and production environments.
- Participate in agile processes including daily standups, sprint planning, and code reviews.
- Stay up to date with industry best practices in data engineering, ETL modernization, and cloud-native data processing.
Qualification and skill set
- Experience:
- 5+ years of professional experience in data engineering or backend development.
- Proven experience designing and implementing ETL/ELT pipelines.
- Hands-on expertise with Apache Spark.
- Experience with Apache NiFi or comparable data pipeline and orchestration tools.
- Infrastructure & tools:
- Practical experience deploying and running applications in Kubernetes-based environments.
- Familiarity with DBT or similar tools for data modeling and transformation (e.g., SQL-based ELT workflows).
- Understanding of CI/CD pipelines; experience with GitHub Actions, Gradle, or Maven is a plus.
- Working knowledge of cloud storage and infrastructure (e.g., AWS S3, IAM roles, VPC networking) is a plus.
- AWS certification (e.g., AWS Certified Data Engineer, Solutions Architect, or Developer) is a plus.
- Collaboration & communication:
- Strong sense of ownership, autonomy, and ability to drive tasks to completion.
- Comfortable contributing to technical designs and reviewing code.
- Strong communication and collaboration skills; ability to work cross-functionally with DevOps, Data, and Backend teams.
- Willingness to support and mentor less experienced engineers when needed.
Why join VITech?
- Work in an agile team with a high-quality code environment and use modern technologies to deliver software that provides value.
- Interesting projects with a focus on the Healthcare industry, where communication with clients is a part of daily work.
- Professional growth opportunities with our corporate development programs.
- People-oriented corporate culture where your individuality is appreciated.
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