Senior Big Data Engineer - SAP Concur Complete

Benefits

Parental leave

6 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

6 weeks From the posting source checked Jun 20, 2026

Family-building benefits

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

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

Not verified

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

Schedule

Shift type

Not verified

Weekend work

Not verified

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Senior Big Data Engineer - SAP Concur Complete Country Brazil | Internal Posting Location São Leopoldo We help the world run better At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging - but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. Join us as a Senior Big Data Engineer supporting the SAP Concur platform, working hybrid in Sao Leopoldo. You will design, build, and evolve the data pipelines and infrastructure that process billions of transactions, receipts, and travel events every day - powering the analytics, machine learning, and operational reporting that millions of businesses depend on. What You Will Build - and Why It Matters You will be a hands-on engineer and technical steward of SAP Concur's data platform, owning the full pipeline lifecycle from raw ingestion through curated, analytics-ready data products. Core areas of ownership include: Scalable batch and streaming data pipelines that ingest, transform, and deliver structured and semi-structured data across the SAP Concur platform - processing petabytes of expense, travel, and invoicing data. End-to-end ETL/ELT workflows using industry-standard frameworks, ensuring data is accurate, timely, and traceable from source to consumption

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