Surescripts
Overview
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. 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 automation 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:
Set up and support Composer or Apache Airflow, or similar cloud/cluster processing task orchestration experiences. 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) to support data processing and analytics workloads. 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), and Google Dataplex Data Quality. Performance Optimization:
Analyze and optimize data pipeline infrastructure components and 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. Compliance:
Understand applicable data privacy and security laws, rules, regulations, and contractual restrictions, and follow Surescripts data governance and data usage rights policies and procedures. Qualifications
Basic Requirements: Bachelor's degree in Computer Science, Data Science, or another 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 layer solutions Expertise in cloud data, compute and storage technologies (e.g., BigQuery, BigTable, AlloyDB) Fluency in Python or Java / JavaScript Proficiency with SQL and both relational and NoSQL databases, and handling structured and unstructured data Familiarity with data quality and governance concepts Proficiency with cloud processing orchestration technologies (Apache Airflow, DataProc, Kubernetes/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 data storage expertise (BigQuery, BigTable, AlloyDB) Health IT industry knowledge with focus on e-prescribing DataOps experience: Data Fusion with CDAP, ETL/ELT, SQL, Python Apache Airflow for DataOps orchestration GCP Cloud DevOps Engineer certifications; IaC with Terraform Experience with containerization (Docker, Kubernetes) Knowledge of cloud security best practices Experience with data visualization tools (Looker, Tableau) To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM. 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 and is determined within a range. The base pay range for this position is $134,200 - $164,000 per year. Your base pay may vary within or outside of this range depending on a number of factors, including qualifications, skills, experience, and location. Benefits include 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 attend meetings in and out of the office, travel, communicate effectively, and use computers and other office equipment with or without reasonable accommodations. This role may involve mental demands including the ability to use judgment, withstand moderate stress, and maintain attention to detail with or without accommodations. Surescripts is 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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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. 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 automation 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:
Set up and support Composer or Apache Airflow, or similar cloud/cluster processing task orchestration experiences. 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) to support data processing and analytics workloads. 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), and Google Dataplex Data Quality. Performance Optimization:
Analyze and optimize data pipeline infrastructure components and 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. Compliance:
Understand applicable data privacy and security laws, rules, regulations, and contractual restrictions, and follow Surescripts data governance and data usage rights policies and procedures. Qualifications
Basic Requirements: Bachelor's degree in Computer Science, Data Science, or another 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 layer solutions Expertise in cloud data, compute and storage technologies (e.g., BigQuery, BigTable, AlloyDB) Fluency in Python or Java / JavaScript Proficiency with SQL and both relational and NoSQL databases, and handling structured and unstructured data Familiarity with data quality and governance concepts Proficiency with cloud processing orchestration technologies (Apache Airflow, DataProc, Kubernetes/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 data storage expertise (BigQuery, BigTable, AlloyDB) Health IT industry knowledge with focus on e-prescribing DataOps experience: Data Fusion with CDAP, ETL/ELT, SQL, Python Apache Airflow for DataOps orchestration GCP Cloud DevOps Engineer certifications; IaC with Terraform Experience with containerization (Docker, Kubernetes) Knowledge of cloud security best practices Experience with data visualization tools (Looker, Tableau) To be considered for employment, applicants must have a valid U.S. work authorization allowing work without restrictions with Surecripts in the U.S. At this time, we are unable to provide support or sponsorship for immigration benefits such as work visas. Additionally, we do not participate in academic training programs or work-study programs through an academic institution that require employer endorsement of F-1/CPT or F-1/STEM. 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 and is determined within a range. The base pay range for this position is $134,200 - $164,000 per year. Your base pay may vary within or outside of this range depending on a number of factors, including qualifications, skills, experience, and location. Benefits include 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 attend meetings in and out of the office, travel, communicate effectively, and use computers and other office equipment with or without reasonable accommodations. This role may involve mental demands including the ability to use judgment, withstand moderate stress, and maintain attention to detail with or without accommodations. Surescripts is 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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