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Senior Data Engineer

Level Access - Remote - India

Posted Apr 10, 2026

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
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Salary
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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
Remote From the posting source checked Jun 20, 2026
In-office days
0 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

Senior Data Engineer Remote - India Level Access is the leading digital accessibility solutions company, helping organizations build products that work for everyone. We are consolidating our business systems into a single, unified data platform to power analytics and AI initiatives. As a Senior Data Engineer , you will play a critical role in designing, building, and operating the data infrastructure that underpins this transformation. This position focuses on creating a robust, governed, and scalable data foundation that integrates data from multiple systems into an AI-ready platform. Responsibilities - Design, build, and maintain a scalable data platform on Databricks and AWS, following Medallion (Bronze/Silver/Gold) architecture principles. - Develop and manage data ingestion and ETL/ELT pipelines from core business systems, ensuring data quality, reliability, and performance. - Implement data quality monitoring (freshness, completeness, validity, anomaly detection) with automated alerting. - Establish and maintain Golden Record identity resolution and reverse sync across source systems. - Govern metadata, lineage, and permissions using Databricks Unity Catalog and platform standards. - Collaborate with cross-functional teams to deliver analytics- and AI-ready datasets that support business objectives. - Apply best practices for infrastructure as code, CI/CD, and version control for data pipelines. - Communicate effectively with stakeholders, manage ambiguity, and drive results in a fast-paced environment. Qualifications Required: - 8+ years of experience in data engineering, building production-grade ETL/ELT pipelines at scale. - Strong proficiency in Python (PySpark, scripting, API integrations, pipeline automation). - Hands-on experience with Databricks (notebooks, jobs, workflows, Unity Catalog) and AWS (Lambda, ECS/Fargate,

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