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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.
 

At Surescripts, base pay is one part of our Total Rewards Package (which may also include bonus, benefits etc.) and is determined within a range. The base pay range for this position is $129,200 - $157,900 per year. Your base pay may vary within or outside of this range depending on a number of factors, including (but not limited to) your qualifications, skills, experience, and location.


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.
 

Physical and Mental Requirements

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.


 

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Average salary estimate

$143550 / YEARLY (est.)
min
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$129200K
$157900K

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What You Should Know About Senior Cloud DataOps Engineer, Surescripts

At Surescripts, we're at the forefront of health intelligence sharing, focused on enhancing patient safety and reducing costs in healthcare. We're looking for a passionate and skilled Senior Cloud DataOps Engineer to join our team in the United States. In this pivotal role, you'll design, build, and maintain scalable cloud infrastructure on the Google Cloud Platform (GCP), supporting our data and analytics workflows. Your expertise will ensure the seamless flow of data and drive data-driven decision-making within our organization. You'll collaborate closely with data engineers, scientists, and business intelligence analysts, forging vital partnerships to optimize our cloud capabilities. Your responsibilities will include everything from implementing data transformations and ensuring data cleansing to managing infrastructure with Terraform. You'll champion DevOps principles, analyzing performance and enhancing our processes to boost team efficiency. Plus, you'll stay updated with industry trends, ensuring that we leverage the best practices in cloud data operations. At Surescripts, we value flexibility, creativity, and collaboration. We offer competitive compensation and a comprehensive benefits package to support your personal and professional growth. Join us to make a significant impact in the health tech landscape while working alongside a diverse team of talented individuals!

Frequently Asked Questions (FAQs) for Senior Cloud DataOps Engineer Role at Surescripts
What are the key responsibilities of a Senior Cloud DataOps Engineer at Surescripts?

As a Senior Cloud DataOps Engineer at Surescripts, you'll be instrumental in designing, building, and maintaining cloud infrastructure on Google Cloud Platform (GCP). You'll manage and optimize data pipelines, ensure data consistency and compliance with privacy laws, and implement DevOps practices such as CI/CD. Furthermore, you'll collaborate with data engineers and analysts to enhance our data processing capabilities and drive data-driven decision-making.

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What qualifications are required for the Senior Cloud DataOps Engineer position at Surescripts?

To apply for the Senior Cloud DataOps Engineer role at Surescripts, a Bachelor's degree in Computer Science, Data Science, or a related field is required, along with at least 5 years of experience in DevOps with a strong focus on GCP. Candidates should have expertise in data engineering, ETL processes, and strong programming skills in languages such as Python or Java. Familiarity with data privacy regulations, particularly in healthcare, is also essential.

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How does Surescripts support professional growth for Senior Cloud DataOps Engineers?

At Surescripts, we are committed to the professional growth of our team members, including Senior Cloud DataOps Engineers. We offer opportunities for continuous learning and professional development through training sessions, certifications, and access to the latest industry tools. You'll also have the chance to collaborate with experts across various teams, which can significantly enhance your skills and knowledge.

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What is the work culture like for a Senior Cloud DataOps Engineer at Surescripts?

The work culture at Surescripts is collaborative, innovative, and supportive. As a Senior Cloud DataOps Engineer, you will be part of a diverse team that values ideas and teamwork. Our Flexible Hybrid Work model allows you to balance remote work and in-office collaboration, creating an ideal environment for creativity and productivity.

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What technologies will a Senior Cloud DataOps Engineer work with at Surescripts?

Senior Cloud DataOps Engineers at Surescripts will work with a suite of cutting-edge technologies including Google Cloud Platform (GCP), Terraform for infrastructure as code, containerization tools like Kubernetes, and data orchestration platforms such as Apache Airflow. You'll also engage with various database technologies, including SQL, NoSQL, and columnar storage systems, to optimize our data processing workflows.

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Common Interview Questions for Senior Cloud DataOps Engineer
Can you explain your experience with Google Cloud Platform and its services?

When approaching this question, highlight specific GCP services you've used, such as BigQuery, DataProc, or Cloud Storage. Discuss how you've implemented these services for data processing and analytics, and provide examples of successful projects where GCP features significantly influenced outcomes.

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How do you ensure data security and compliance in your DataOps practices?

Discuss your understanding of data privacy laws, especially HIPAA, and how you've implemented security measures to comply with these regulations. Mention specific tools or processes you've used for data cleansing, masking, and securing sensitive data, and emphasize your proactive approach to data governance.

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Describe a challenging data pipeline you’ve built and how you optimized its performance.

It's essential to frame your response around a specific project. Explain the initial challenges, the steps you took to build and optimize the pipeline, and the results. Use metrics to quantify improvements in performance, efficiency, or data accuracy resulting from your efforts.

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What is your experience with infrastructure as code, particularly using Terraform?

Share your proficiency with Terraform, detailing specific scenarios where you have used it to provision and manage GCP resources. Explain how using Terraform has aided in achieving consistency and repeatability in your infrastructure deployments.

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What DevOps principles do you find most effective in a DataOps role?

Discuss the core DevOps principles such as CI/CD, automation, and collaboration. Provide examples of how you've implemented these principles within DataOps, focusing on improved team effectiveness and faster delivery of data products or services.

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How do you approach monitoring and troubleshooting cloud infrastructure?

Express your methodologies for monitoring applications and infrastructure in GCP. Discuss specific tools you've used for logging and alerting, as well as your systematic approach to diagnosing and resolving issues, emphasizing your experience with incident management.

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Can you describe your experience with data orchestration tools like Apache Airflow?

Detail your hands-on experience with Airflow, including how you've set up and managed workflows to automate data processing tasks. Highlight any unique challenges you faced while using it and how you overcame them to ensure smooth orchestration.

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What strategies do you use for effective communication within cross-functional teams?

Emphasize the importance of clear and transparent communication in a cross-functional environment. Discuss specific strategies you've employed, such as regular stand-ups, shared documentation, and collaborative platforms that foster teamwork and eliminate misunderstandings.

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What cloud security best practices have you implemented in past roles?

Describe your understanding of cloud security principles, such as using IAM for access control, encryption for data at rest and in transit, and regular security audits. Provide examples of how you've applied these practices in previous roles to safeguard cloud environments.

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Where do you see the future of Cloud DataOps heading, and how do you keep up with industry trends?

Share your insights on emerging trends in Cloud DataOps, such as increased automation, use of AI, or integration of more advanced tools. Discuss how you actively keep updated through industry publications, online courses, webinars, or relevant networking opportunities.

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Surescripts serves the nation through simpler, trusted health intelligence sharing, in order to increase patient safety, lower costs and ensure quality care.

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Full-time, hybrid
DATE POSTED
April 14, 2025

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