Sr. Data Engineer

AnewHealth is one of the nation’s leading pharmacy care management companies that specializes in caring for people with complex, chronic needs—wherever they call home. We enable better outcomes for patients and the healthcare organizations that support them. Established in 2023 through the combination of ExactCare and Tabula Rasa HealthCare, we provide a suite of solutions, including comprehensive pharmacy services; full-service pharmacy benefit management; and specialized support services for the Program of All-Inclusive Care for the Elderly. With over 1,400 team members, we care for more than 100,000 people across all 50 states.

Job Details

The Senior Data Engineer will be responsible for designing, building, and maintaining scalable data pipelines and systems, collaborating with data scientists, data analysts, and other stakeholders to ensure data quality, accessibility, and security. The ideal candidate will have extensive experience in data engineering, strong problem-solving skills, and a passion for working with data warehouse technologies like Snowflake, MySQL, and AWS DynamoDB. The work involves handling health data from different sources, including FHIR, HL7, CCDA, CSV, and Parquet files.

Responsibilities

• Design, develop, and maintain scalable data pipelines and ETL processes.
• Lead data curation, data readiness, and MLOps towards a comprehensive data strategy and execution.
• Collaborate with Data Analysts, Data Scientists, and Applied Scientists to understand data requirements and ensure data availability and quality.
• Implement data governance and security best practices to ensure data integrity and compliance.
• Optimize data storage and retrieval mechanisms to enhance performance and efficiency.
• Develop and maintain documentation related to data architecture, processes, and workflows.
• Monitor and troubleshoot data-related issues, ensuring minimal disruption to operations.
• Collect and analyze feedback from Snowflake to continuously improve system performance.
• Deploy data solutions to AWS cloud platform and integrate them with existing applications.
• Work with Multi-Tier architecture using Data Vault modeling style.
• Apply healthcare standards such as HL7, FHIR, and CCDA.
• Utilize AWS technologies: S3, RDS, ECS, Fargate, Lambda, DynamoDB, Step Functions.
• Stay updated on emerging technologies and trends in data engineering and AI.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 8 to 10 years of experience in data engineering, including building and managing data pipelines.
• Experience in supporting scalable cloud solutions in AWS.
• Proficiency in programming languages: Python, SQL, and JavaScript.
• Experience with AWS big data technologies (e.g., EMR, Redshift, Kinesis) and data warehousing solutions like Snowflake, Redshift, BigQuery.
• Strong knowledge of AWS database management systems (e.g., RDS, DynamoDB, Aurora).
• Experience in generating sample data using statistical modeling techniques and integrating data solutions with applications in the AWS cloud platform.
• Excellent problem-solving, analytical, communication, and collaboration skills.
• Experience with CI/CD and DevOps practices.
• Experience in the healthcare industry is an added bonus, particularly in innovating to simplify clinical workflows.

AnewHealth provides equal employment opportunity to all qualified applicants regardless of race, color, religion, national origin, sex, sexual orientation, gender identity, age, disability, genetic information, veteran status, or any other legally protected classification in the state where a person seeks employment. Applicants are encouraged to confidentially self-identify when applying. Local applicants are encouraged to apply. We maintain a drug-free work environment. Applicants must be eligible to work in this country.