Summary
✨ AI‑Generated
Work as a senior big data engineer designing and maintaining scalable enterprise data solutions for a major healthcare environment. You will build reliable data integration and transformation pipelines on GCP, onboard new data sources, and enhance cloud data-platform components using managed services and infrastructure-as-code. Strong emphasis is placed on data quality, performance, availability, and production readiness.
Highlights
Senior data engineering opportunity focused on enterprise-scale solutions for a major healthcare environment. Provides hands-on work with GCP, scalable data pipelines, modern cloud architecture, infrastructure as code, and enterprise data integration.
Description
About The Role
As a Senior Big Data Engineer, you will contribute to building enterprise-scale data solutions for a leading US healthcare provider focused on dialysis services.
You will work within SoftServe’s Big Data & Analytics Center of Excellence, delivering scalable data products and supporting the evolution of modern data architectures across multiple business domains
Responsibilities
Design, develop, and maintain scalable data integration and transformation solutions, including onboarding new data sources such as Snowflake and Salesforce into the Enterprise Data Platform (EDP)Create low-level designs for data integrations and implement reliable, production-ready data pipelines using GCP services, ensuring high data quality, performance, and availabilityBuild, enhance, and support data workflows and platform components leveraging technologies such as Dataflow, BigQuery, Composer, Cloud SQL, Terraform, CI/CD, and related cloud infrastructure toolsCollaborate with data architects, engineers, and business stakeholders to translate business requirements into scalable technical solutions and actionable insightsOptimize data processing systems and platform services for performance, scalability, reliability, and cost efficiencyContribute to the evolution of the data platform by introducing new technologies, best practices, automation, and AI-driven approaches for data governance and configuration managementSupport implementation of data mesh principles, continuous improvement initiatives, and modernization of data engineering practices across the platformProduce technical documentation, knowledge transfer materials, and reusable implementation patterns to support long-term platform sustainabilityParticipate in proof-of-concept activities and technical evaluations to validate new solutions and capabilities
Requirements
Strong hands-on experience gained over 6+ years of working as a Data EngineerStrong hands-on experience with Google Cloud Platform services, including BigQuery, Dataflow, Composer, and Cloud SQL, gained over 2+ years of practical workProficiency in Python or Java for creating pipelinesStrong hands-on experience with SQL for building data solutions and processing pipelinesExperience with schema migration tools such as Liquibase or FlywaySolid understanding of data integration, databases, and data connectivity conceptsExposure to Snowflake data platformFamiliarity with CI/CD tools such as GitLab CI, Terraform, and version control systemsUnderstanding of ETL/ELT processes and modern data architectures like Data Lakehouse/Data MeshAttention to detail, strong sense of ownership, and problem-solving skills to collaborate in a cross-functional environmentUpper-intermediate or higher English level for effective communication in global teams
SoftServe is an equal opportunity employer.
Qualified applicants will receive consideration regardless of race, color, ancestry, ethnicity, national origin, religion, sex, sexual orientation, gender identity or expression, age, citizenship, disability, health condition, marital or family status, veteran status, or any other characteristic protected by applicable law.
