Scalepex
Tech / AI / Software
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Scalepex. Skills: SQL, data pipelines, data processing, troubleshooting, data accuracy, scalability, performance. Extracting, cleansing, and loading data. Building data pipelines using SQL, Kafka, and other technologies”
What You'll Achieve.
delivering high-quality data pipelines, transformations, and integrations; ensure data accuracy, scalability, and performance; maintain consistent and accurate data
Industry & Context.
Investigate and troubleshoot issues with data and data pipelines; Triage incoming bugs and incidents
What They're Looking For.
Must Have
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, 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
Nice to Have
ETL experience preferred, Git experience preferred, SW certification or degree in IT or Computer Science related field
What You'll Do.
Building data pipelines using SQL
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
Monitor data pipeline execution and performance
Perform and implement data quality checks to maintain consistent and accurate data
How You'll Work.
Team & Collaboration
working closely with internal teams and external partners; Resolve discovered issues collaboratively; Participation in sprint refinement, planning, and kick-off to help estimate stories, raise awareness and define additional implementation details
Communication Scope
Ability to clearly communicate data-related concepts and details with internal colleagues, and external data partners and vendors
Process & Methodology
Participation in sprint refinement, planning, and kick-off
Full Job Description
### **About Scalepex** Scalepex 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 Scalepex, 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**. **Requirements** ### **Key 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,
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