Senior Cloud Data Engineer

Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care. We deliver insights at critical points of care for better decisions - from streamlining prior authorizations to delivering comprehensive medication histories to facilitating messages between providers.

The Senior Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) Big Query. The incumbent will collaborate with data analysts, data scientists, and other engineers to ensure timely access to high‑quality data for data‑driven decision‑making across the organization. This highly technical role requires mastery of coding in data processing solutions and scalable data pipelines to support analytics and exploratory analysis.

It involves decomposing new business requirements, implementing end‑to‑end designs that enable data integrity and quality, and building data acquisition programs that handle growing data volume within a Data Lake in GCP Big Query and maintaining a robust data catalog.

• Design, develop, and implement data pipelines using GCP Big Query, Dataflow, and Airflow for data ingestion, transformation, and loading.
• Optimize data pipelines for performance, scalability, and cost‑efficiency.
• Ensure data quality through data cleansing, validation, and monitoring processes.
• Develop and maintain data models and schemas in Big Query to support various data analysis needs.
• Automate data pipeline tasks using scripting languages like Python and tools like Dataflow.
• Collaborate with data analysts and data scientists to understand data requirements and translate them into technical data solutions.
• Leverage Dev Ops Terraform (IaC) to ensure seamless integration of data pipelines with CI/CD workflows.
• Monitor and troubleshoot data pipelines and infrastructure to identify and resolve issues.
• Stay up‑to‑date with the latest advancements in GCP Big Query and other related technologies.
• Document data pipelines and technical processes for future reference and knowledge sharing.

• Bachelor's degree or equivalent experience in Computer Science, Mathematics, Information Technology or related field.
• 5+ years of solid experience as a data engineer.
• Strong understanding of data warehousing/datalake concepts and data modeling principles.
• Proven experience with designing and implementing data pipelines using GCP Big Query, Dataflow, and Airflow.
• Strong SQL and scripting language skills, especially Python.
• Experience with data quality tools and techniques.
• Ability to work independently and as part of a team.
• Strong problem‑solving and analytical skills.
• Passion for data and a desire to learn and adapt to new technologies.
• Experience with other GCP services like Cloud Storage, Pub/Sub, etc.
• Experience with cloud deployment and automation tools like Terraform.
• Experience with data visualization tools such as Tableau, Power BI, or Looker.
• Experience with healthcare data.
• Familiarity with machine learning, artificial intelligence and data science concepts.
• Experience with data governance and healthcare PHI data security best practices.
• Ability to communicate effectively and convey complex technical concepts as well as tasks/project updates.

To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surescripts in the U.S. We are unable to provide immigration sponsorship or participate in academic training programs that require employer endorsement of F‑1/CPT or F‑1/STEM.

We're a midsize company. This means you're not just another employee r. Here, you can build real relationships and feel supported by truly awesome people with diverse backgrounds and talents in an innovative and collaborative work culture. We strive to create an environment where you can be yourself, share your ideas, and work your way. We offer opportunities for employee development, as well as competitive compensation packages and extensive benefits.

Base pay for this position is $153,100 – $187,100…