Senior Cloud DataOps 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.

Job Summary:

The Senior Cloud DataOps Engineer plays a pivotal role in designing, building, and maintaining scalable, reliable, cloud infrastructure on the Google Cloud Platform (GCP) to support data and analytics workflows, data products as well as data pipelines. The Senior Cloud DataOps ensures seamless data flow, optimizes performance, configures cloud infrastructure and drives data-driven decision-making within our organization. The incumbent is required to work within cloud environments with complex data interdependencies, visibility constraints, privacy protections, and security protocols.

This is a senior DataOps engineering role within Data & Analytics' Data Core organization working closely with leaders of the Data & Analytics and Network Technology & Operations departments. The incumbent will build close partnership and relationships with system operations and DevOps teams, data engineers, data scientists and analysts to build and configure cloud infrastructure to support scalable data processing, analytics and machine learning workloads. The incumbent will lead efforts around DataOps process improvement to enhance team effectiveness in leveraging advanced cloud computing and storage techniques in our Google Cloud environment.

Responsibilities:

• Data Transformations and Data Fusion:Support Cloud components for data processing (e-g, operational data pipelines for ETL/ELT, using Python, SQL, and other relevant cloud technologies.) from various sources, by ensuring monitoring, logging, alerting and automations components are configured and available for data engineering teams.
• Data Cleansing, De-Identification, Data Masking:Use appropriate cloud infrastructure components and functions to support data accuracy and consistency by enabling and configuring tools and processes to protect sensitive information by removing or obfuscating personal identifiers, and securing data by replacing sensitive information with cryptographic hashes.
• Containerization:Leverage containers and containerization technologies such as Kubernetes, GKE, DataProc or similar cloud compute orchestration.
• Cloud Processing Composition:Setup and support Composer or (Apache) Airflow, or similar cloud/cluster processing task orchestration experience.

• Infrastructure Management: Provision, configure, and manage GCP resources using IaC (Terraform) e-g, resource provisioning, virtual machines, virtual private cloud, cloud storage. Cloud SQL, automations, monitoring, logging, security components (IAM, Firewall, Encryption) support data processing and analytics workloads and solutions.
• DevOps Practices: Implement and promote DevOps principles, including CI/CD pipelines, infrastructure as code (IaC), and monitoring and alerting in partnership with Network Technology and Operations Department's System Operations function .
• Data Quality and Governance: Implement, configure and integrate data governance tools e-g Informatica, data quality observability tools e-g Bigeye. Google Dataplex Data Quality.
• Performance Optimization: Analyze and optimize data pipeline Infrastructure components, analytics application performance, identifying bottlenecks and implementing strategies to improve efficiency.
• Troubleshooting and Support: Diagnose and resolve infrastructure issues promptly, providing technical support to data engineers, data scientists and BI analysts.
• Continuous Learning:Stay abreast of industry trends, emerging technologies, and best practices in cloud data operations.
• Understand all applicable data privacy and security laws, rules, regulations, and contractual restrictions, and follow all Surescripts data governance and data usage rights policies and procedures.

Qualifications:

Basic Requirements:

• Bachelor's degree in Computer Science, Data Science, or other related field; or equivalent experience
• 5+ years of progressive experience in DevOps roles, with a strong focus on GCP or other Cloud providers
• 3+ years of experience in healthcare transaction data, including data engineering, and reporting
• Experience with DevOps practices, CI/CD pipelines, Rest API integrations and infrastructure as code (IaC using Terraform)
• Strong knowledge of data warehousing/data lake, ETL/ELT processes, and reporting layers solutions
• Expertise in the various cloud data, compute and storage technologies, and their appropriate use-cases. These will include Columnar (e.g., BigQuery), NoSQL (e.g., BigTable), and relational (e.g., AlloyDB).
• Fluency in a relevant cloud programming language such as Python or Java / JavaScript.
• Proficiency with SQL, Relational, NoSQL, and Columnar databases, and Structured and Unstructured data
• Familiarity with data quality and governance concepts and implementation
• Proficiency with cloud processing orchestration technologies, such as Apache Airflow, DataProc, and Kubernetes (e.g., GKE)
• Knowledge of privacy laws and regulations around health data (HIPAA) and PII
• Ability to work independently and as part of a team with excellent collaboration and communication skills

Preferred Qualifications:

• Advanced degree in a computational field (e.g., Computer Science or Data Science)
• Google Cloud environment data storage expertise (BigQuery, BigTable, and AlloyDB)
• Health IT industry knowledge with a particular focus on e-prescribing
• DataOps experience: Data Fusion with CDAP, ETL/ELT, SQL, Python
• Apache Airflow for DataOps Orchestration
• Certifications related to GCP Cloud DevOps Engineer, e.g., IaC with TerraForm
• Experience with containerization technologies (e.g., Docker, Kubernetes)
• Knowledge of cloud security best practices
• Experience with data visualization tools (e.g., Looker, Tableau)

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.