DOMA Technologies · 7 hours ago
Senior Data Engineer
United States
Full-time
Remote
Mid, Senior Level
4+ years expDOMA Technologies is focused on data-centric transformation in healthcare, aiming to enhance health outcomes and improve processes. As a Senior Data Engineer, you will design and maintain scalable data pipelines and architectures to support various business needs, collaborating closely with data scientists and analysts to deliver high-quality data solutions.
Cloud ComputingEnterprise SoftwareSoftwareInformation TechnologyCloud Data ServicesDocument ManagementEnterprise
Responsibilities
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
Qualification
Required
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
Bachelor's degree in computer science, Information Technology, or a related field
Preferred
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)
Company
DOMA Technologies
DOMA is a game changing tech innovator that frames all of its endeavors through its passion for people.
201-500 employees
Funding
Current Stage
Growth StageTotal Funding
unknown2024-11-13Acquired
Leadership Team
Pat Feliciano
President & CEO
Damian Breland
Chief Technology Officer
Recent News
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2025-07-18
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