Engineer, Data Integration

Navitus Health Solutions, LLC•,

1d•$101,335 - $126,669•Remote

About The Position

Due to growth, we are adding a Engineer, Data Integration to our team! The Engineer, Data Integration ensures efforts are in alignment with the Enterprise Architecture team to support customer-focused objectives and the IT Vision, a collaborative partner delivering innovative ideas, solutions and services to simplify people’s lives. The Engineer, Data Integration will help define and grow our data centric architecture. The Engineer, Data Integration is responsible for implementing data ingestion, validation, and transformation pipelines. The Engineer, Data Integration will design and maintain batch and streaming integrations across a variety of data domains and platforms. The Engineer, Data Integration will be responsible for designing streaming capabilities for the internal and external movement of data to support our clients’ needs. The Engineer, Data Integration will align our data structures, designs, and capabilities with the needs of the organization and in support of our strategic direction. The ideal candidate is experienced in Domain driven development and event driven architecture with real time data transformations.

Requirements

College degree or equivalent experience required in the field of computer science, information systems or software engineering and/or a minimum of 5+ years of professional experience
Excellent understanding of coding methods and best practices
Proven experience collaborating with business teams to analyze business requirements and develop technical specifications
Proven experience designing complex data flows with end-to-end automation of complex requirements
Proven experience with streaming platforms such as Kafka
Proven experience developing test cases and test plans
Demonstrated understanding of Software Development Life Cycle
Experience with relational databases
Background with unit and integration testing basics
Fundamental knowledge of distributed data processing and storage
Fundamental knowledge of working with structured, unstructured, and semi structured data.
Fundamental knowledge of API frameworks
Knowledge of healthcare industry practices, HIPAA, and applicable data privacy practices preferred
Participate in, adhere to, and support compliance program objectives
The ability to consistently interact cooperatively and respectfully with other employees

Nice To Haves

Experience developing data exchange pipelines using HL7 FHIR, SOA, XML / JSON, and REST API would be a plus
Experience with NoSQL such as MongoDB is desired

Responsibilities

Work with stakeholders to design and develop data ingest, validation, and transform pipelines
Lead the effort for design, development and implementation on a project-by-project basis to deliver solutions which are easily maintainable and scalable
Participate in data strategy and road map planning, data architecture definitions, centralized data platform design, and implementation
Develop and maintain user manuals and guidelines
Assist in the development and maintenance of a data catalog
Ability to diagnose and troubleshoot data issues, recognizing common data integration and transformation patterns
Maintain enterprise metadata so that it can be reported and leveraged for re-use
Define and maintain standards for data object naming and other data administration standards
Design and manage conceptual, logical, and physical data models, including versioning and governance
Utilizes one or more of the following: Oracle, MS SQL, Informatica, Automic, .NET Core, Microservices Architecture, Event Driven Architecture, Confluent/Kafka, Application Program Interface (API), and Qlik Replicate (CDC)
Other duties as assigned