About
is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.
At , we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.
Job Summary
We are looking for a Data Engineer to join our DataOps team, focused on delivering high-quality data pipelines, transformations, and integrations for healthcare-related data.
This role is highly hands-on with SQL, data processing, and troubleshooting, working closely with internal teams and external partners to ensure data accuracy, scalability, and performance.
RequirementsKey Responsibilities
- Extracting, cleansing, and loading data.
- Building data pipelines using SQL, Kafka, and other technologies.
- Investigate and troubleshoot issues with data and data pipelines.
- Investigation and documentation of new data sets
- Implement new data transformation configurations or ad-hoc reports
- Triage incoming bugs and incidents.
- Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and define additional implementation details.
- Monitor data pipeline execution and performance. Resolve discovered issues collaboratively.
- Perform and implement data quality checks to maintain consistent and accurate data.
Required Qualifications
- Solid grasp of modern relational and non-relational models and differences between them.
- Expert in writing complex SQL, including pivots, window functions, and complex date calculations
- Expert in analyzing and parsing flat file data structures.
- Proficient in EDI X12 formats related to healthcare claims processing
- Proficient in the use of Excel and familiar with analytical tools such as Tableau, MicroStrategy, PowerBI, etc…
- Familiarity with API usage for healthcare data integration including data parsing and conversion.
- Familiarity with EFT file movement principles and tools including encryption.
- Ability to translate data movement and transformation concepts and details from existing to new tech stacks.
- Ability to clearly communicate data-related concepts and details with internal colleagues, and external data partners and vendors.
- Detail-oriented and able to examine data and code for quality and accuracy.
- 2+ years of experience in data engineering
Preferred Qualifications
- ETL experience preferred
- Git experience preferred
- SW certification or degree in IT or Computer Science related field
Benefits
- Contractor scheme
- 100% Remote
