DNACRL_Driscoll's - Data Engineer - TL Mexico

Benefits

Parental leave

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Non-birth-parent leave

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Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Not verified
• Surrogacy assistance: Not verified

Mental health support

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Relocation assistance

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Childcare support

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Learning budget

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Verification

Not verified checked Jun 7, 2026

Salary

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401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$111,944 U.S. median for this role

Projected growth (BLS Employment Projections)

+13.7% - Much faster than average

Matched to SOC 15-1252 - Data and ML aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Data From the posting source checked Jun 20, 2026

Seniority

Mid From the posting source checked Jun 20, 2026

Work mode

Hybrid From the posting source checked Jun 20, 2026

In-office days

2 days From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

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Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Application

Cover letter

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Assessment

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Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

DNACRL_Driscoll's - Data Engineer - TL Mexico Data Engineer (Ingeniero de Datos) Location: Mexico (Mexico City, Guadalajara, Monterrey) - Hybrid as per Infosys Mexico policy (CDT/EDT time) Role Overview As Data Engineer you'll design, build, and maintain modern data pipelines on AWS that power analytics and business decision ‑ making. You'll work hands ‑ on with services like AWS Glue, Lambda, Step Functions, DMS, and EventBridge to ingest and transform data from multiple sources into scalable data platforms. You'll store and analyze data using S3, Redshift, and Athena, write clean and efficient data processing logic in Python and SQL, and work with databases such as MySQL, Oracle, and Amazon Redshift. Version control and collaboration are handled through GitHub, and you'll help ensure data security, auditing, and compliance using AWS CloudTrail. You'll collaborate closely with analytics, BI, and application teams, playing a key role in delivering reliable, high ‑ quality, production ‑ ready data solutions. Key Responsibilities - Design, build, and operate AWS data pipelines using Glue, Lambda, Step Functions, DMS, and EventBridge to ingest and transform data at scale. - Manage analytics data platforms on S3, Athena, and Redshift, ensuring performant, well ‑ modeled, and analytics ‑ ready datasets. - Develop and maintain data logic using Python and SQL, working across MySQL, Oracle, and Redshift, with clean version-controlled code in GitHub. - Ensure reliability, security, and quality through monitoring, logging, data validation, and auditing using AWS CloudTrail and best practices. Basic Qualifications - Bachelor's degree or foreign equivalent in Computer

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