DNASURE_ExxonMobil - Lead Azure 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

Senior 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

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Weekend work

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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

DNASURE_ExxonMobil - Lead Azure Data Engineer - TL Mexico Lead Azure Data Engineer (Ingeniero líder de Datos Azure) Location: Mexico (Mexico City, Guadalajara, Monterrey) - Hybrid as per Infosys Mexico policy (CDT/EDT time) Role Overview As a Lead Azure Data Engineer , you will drive the architecture, design, and optimization of scalable data platforms and pipelines on Azure, while providing technical leadership and guidance to engineering teams. You will apply advanced expertise in SQL, Python, and Spark to build efficient ETL/ELT solutions, lead data modeling and performance tuning efforts, and ensure seamless integration with diverse data sources and BI tools. Additionally, you will establish and enforce data governance, security, and compliance standards, collaborate with stakeholders to translate business needs into robust solutions, and mentor team members to ensure high-quality delivery and alignment with enterprise data strategy. Key Responsibilities - Monitor and respond to alert emails regarding execution failures across all team tools-such as Databricks, Azure Data Factory, or data quality gap reports within our processes. - Proactively respond to user questions on team Zoom channels, capture issues in our processes, and implement necessary fixes. - Work extensively with Azure Cloud Services, Azure Data Factory, Databricks, Python, and Spark, snowflake including handling user requested break-ins such as issue investigation, missing data analysis and remediation of jobs or pipelines that did not run according to their pre-configured schedules. Basic Qualifications - Bachelor's degree or foreign equivalent in Computer Science or related field. - 8+ years of IT experience , including pipeline design,

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