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Open nowPosted 174 days ago

Data Engineer - REMOTE MEXICO

Workable (global search)107,990 open roles

Where
Mexico
Work mode
Remote
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Your applicationOpen nowData Engineer - REMOTE MEXICOWorkable (global search) · Mexico

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 6 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 174 days ago

Workable (global search) median: 6 days open

The posting

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, 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.
  • 5+ years of experience in data engineering

Essential Knowledge

  • Strong expertise in Microsoft SQL Server Management Studio
  • SSIS package builds through Visual Studio

Preferred Qualifications

  • ETL experience preferred
  • Git experience preferred
  • SW certification or degree in IT or Computer Science related field

Benefits

  • Contractor scheme
  • 100% Remote
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