Livanta is the largest healthcare quality improvement organization in the United States and trusted adviser to the Centers for Medicare and Medicaid Services (CMS). We have a unique understanding of beneficiaries and have developed programs that improve beneficiary outcomes, increase satisfaction, and drastically reduce readmissions. 

With technology at its core, Livanta has built a portfolio of telehealth, data analytics, and tracking mechanisms that position it to inspire a better healthcare system that connects beneficiaries, providers, and payers to improve health outcomes, increase efficiency, and manage costs. 

As a Sr. Data Engineer you will be responsible for designing, building, and maintaining efficient, scalable, and fully automated data pipelines and architectures that support various business needs ranging from operational reporting to sophisticated AI/ML analytics. The ideal candidate will have a strong background in data engineering, cloud technologies, and data management practices at scale using modern data platforms and tools.

• Design, develop, and maintain scalable data pipelines to collect, process, and transform data from various sources.
• Integrate data from multiple sources, ensuring data quality and consistency across the organization.
• Build and maintain data storage solutions, including data warehouses and data lakes, ensuring optimal performance and reliability.
• Implement data transformation and enrichment processes to prepare data for analytics and reporting.
• Leverage cloud technologies, particularly AWS, to optimize and manage data infrastructure.
• Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
• Create and maintain comprehensive documentation for data pipelines, data models, and related processes.
• Mentors and guides junior data engineers/ analysts on data engineering best practices and industry standards.
• Other duties as assigned.

Essential Knowledge:

• Minimum of 4 years of experience in data engineering or a related field.
• Strong experience with data pipeline/ orchestration and ETL development using tools such as Apache Airflow, Kubernetes, Databricks Workflows or similar.
• Demonstrated experience in designing highly efficient programs capable of processing terabytes of data.
• Strong Proficiency in SQL and experience with relational databases (e.g., SQLServer, PostgreSQL) and NoSQL databases (e.g., MongoDB, OpenSearch).
• Experience with cloud technologies, particularly AWS (e.g., S3, Redshift, Glue, Lambda, Athena).
• Proficient in writing data programs in R, Python, Scala, or similar language.
• Familiarity with big data technologies such as Apache Spark, Databricks, or similar.
• Familiarity with data visualization tools and data migration methods.
• Excellent problem-solving skills and attention to detail.
• Strong communication and interpersonal skills, with the ability to work effectively with diverse teams and stakeholders.

Essential Education:

• Bachelor’s degree in computer science, Information Technology, or a related field.

Essential Skills:

• Familiarity with data governance and data quality best practices is a plus.
• Familiarity with healthcare data standards i.e. (FHIR, HL7)
• Familiarity working with unstructured data i.e. pdfs, free-text, etc.
• Databricks Data Engineering certifications.
• Data Visualization/ Reporting skills (i.e. PowerBI, Tableau, or Quicksight)

Livanta LLC is an equal employment opportunity employer. All personnel processes are applied without discrimination on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military and veteran status or any other characteristic protected by applicable law.  

If you need assistance or an accommodation due to a disability, you may contact us at 757-306-4920 or hr@livanta.com.