Senior Data Engineer

Benefits

Parental leave

Not verified

Non-birth-parent leave

Not verified

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

Not verified checked Jun 7, 2026

Salary

Not verified

401(k) match

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

Was this benefit information wrong? Tell us.

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 Data Engineer State/Province1 | Job Posting Country IN India | State/Province Karnataka | Job Posting City Bangalore | City Zip Code 560087 Job Purpose and Impact The Senior Data Engineer designs, builds, and operates scalable, reliable data products and platforms that power analytics, reporting, and downstream applications. This role owns end‑to‑end delivery of batch and streaming data pipelines on a modern AWS‑based cloud data platform, applying strong engineering patterns to ensure performance, security, observability, and cost efficiency. With minimal supervision, the role partners closely with product, analytics, and platform teams to translate business requirements into robust technical solutions across a Lakehouse (Iceberg) and approved warehousing platforms (e.g., Snowflake). The Senior Data Engineer also mentors other engineers, drives code quality, and raises the engineering bar across the organization. Key Accountabilities Data & Analytical Solutions Designs and delivers scalable data products using standard cloud and data engineering architectures. Owns technical decisions (batch vs. streaming, Lakehouse vs. warehouse) and ensures solutions meet reliability, security, governance, latency, and cost requirements. Reviews designs and contributes reusable components, templates, and standards. Data Pipelines Builds and operates end‑to‑end batch and streaming pipelines. Implements transformations using SQL/dbt and PySpark as needed. Integrates real‑time or event‑driven ingestion using Kafka. Orchestrates workflows with Airflow; establishes SLAs/SLOs and CI/CD‑based deployments. Data Systems & Architecture O

Read the full description at jobs.cargill.com. FewerJobs shows a preview and links to the original posting.