Principal Cloud Data Engineer/GCP

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 Principal Cloud Data Engineer plays a key role in designing, building, and maintaining data pipelines and infrastructure using Google Cloud Platform (GCP) BigQuery. The incumbent will collaborate with data analysts, data scientists, and data engineers to ensure timely access to high-quality data for data-driven decision making across the organization and data products.

The Principal Cloud Data Engineer is a highly technical person with hands-on experience in building data engineering processing solutions and scalable data pipelines to support analytics and exploratory analysis. The incumbent is a key contributor to advancing data engineering practices within the organization. This role will define the data engineering practices, patterns, and standards for the team, data engineering roadmap for the data lake and semantic layer, align data architecture to reporting initiatives with business goals, and foster a data-driven culture. The incumbent will lead by example and mentor a team of Data Engineers, nurturing their skills and ensuring high-quality output while leveraging an iterative delivery approach using agile routines and methodologies to enable the team to focus.

This is a Principal Data Engineering role within Data & Analytics’ Data Core organization working closely with leaders of Data & Analytics. This role is responsible for continually improving the business’s data and analytic solutions, processes, and data engineering capabilities. The incumbent embraces industry best practices and trends and, through acquired knowledge, drives process and system improvement opportunities.

• Design, develop, and maintain robust data architectures and data pipelines to handle diverse and high-volume datasets efficiently.

• Prioritize scalability, performance optimization, and resilience when designing data pipeline infrastructure to support our growing needs.

• Establish and enforce strong data governance and quality control measures for data engineering to ensure the accuracy, integrity, and usability of our data assets.

• Champion data engineering standards and best practices across the organization, ensuring consistency and maintainability in our data solutions.

• Guide, coach, and develop junior/senior data engineers, fostering a collaborative learning environment and elevating the team's overall capabilities.

• Collaborate closely with data scientists, analysts, and key stakeholders to translate business objectives into actionable data engineering solutions.

• Stay abreast of emerging trends in data engineering. Experiment, evaluate, and integrate new technologies to continuously enhance our data platforms.

• Lead and oversee complex data engineering projects, ensuring timely delivery, high-quality standards, and effective collaboration across cross-functional teams.

• Bachelor’s degree or equivalent experience in Computer Science, Mathematics, Information Technology or related field.
• 8+ years of solid hands-on experience as a Data Engineer, demonstrating increasing levels of responsibility and technical leadership.
• Strong understanding of data warehousing concepts and data modeling principles.
• Proven experience with designing and implementing data pipelines using GCP BigQuery or cloud platform.
• Strong SQL and scripting languages like Python (or similar) skills.
• Expert knowledge of data quality tools and techniques.
• Excellent communication and collaboration skills.
• Ability to work independently and as needed 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, Dataflow, Dataproc, Bigquery and Pub/Sub or similar cloud platforms.
• Experience with cloud deployment and automation tools like Terraform.
• Experience with data visualization tools like Tableau / Power BI / Looker.
• Experience with health care data.
• Knowledge of machine learning, artificial intelligence and data science.
• Experience with data governance and healthcare PHI data security best practices.
• Experience building data products by using robust data engineering practices

Surescripts embraces flexibility through its Flexible Hybrid Work model for most positions. This model allows employees to work virtually while still utilizing our offices as collaboration centers. With alignment and agreement from your leadership, you can come and go from the office as needed.
 

Why Wait? Apply Now 

 
We’re a midsize company. This means you’re not just another employee ID number. 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.
 

Benefits include, but are not limited to, comprehensive healthcare (including infertility coverage), generous paid time off including paid childbirth and parental leave and mental health days, pet insurance, and 401(k) with company match and immediate vesting. To learn more, review the Keep You and Yours Healthy, Balancing Work and Life, and Where Talent Takes Shape links under the Better Benefits. Better Work. Better Life section of our careers site.
 

While performing duties of this job, an employee may be required to perform any, or all of the following: attend meetings in and out of the office, travel, communicate effectively (both orally and in writing), and be able to effectively use computers and other electronic and standard office equipment with, or without, a reasonable accommodation. Additionally, this job requires certain mental demands, including the ability to use judgement, withstand moderate amounts of stress and maintain attention to detail with, or without, a reasonable accommodation.

Surescripts is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate on the basis of race, color, religion, age, national origin, ancestry, disability, medical condition, marital status, pregnancy, genetic information, gender, sexual orientation, parental status, gender identity, gender expression, veteran status, or any other status protected under federal, state, or local law.