Principal Data Engineer

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 last checked Jun 13, 2026

Salary

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401(k) match

Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.

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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.

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

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Where they hire

State eligibility is not yet verified.

About this role

Principal Data Engineer Hyderabad - India The Principal Data Engineer sets the technical direction that assists engineers and data engineers to take on large, complex data problems/initiatives. This role has considerable technical influence within the Data and Software Engineering teams at JustGiving. This individual acts as an evangelist for proper data strategy with other teams at JustGiving. What you'll do: Maintain and assess a legacy SQL Server-based Kimball-style data warehouse, identifying opportunities for modernization and optimization. Design and build scalable data pipelines and ETL/ELT processes using modern tools and frameworks. Collaborate with peers to define and evolve reusable tools and pipeline patterns that support efficient and consistent data transformation. Partner with product managers, data analysts, and engineering teams to design technical solutions that solve real customer problems. Contribute to the development and implementation of data governance practices, ensuring data sovereignty, privacy, security, and regulatory compliance. Monitor and troubleshoot data workflows to ensure high availability, reliability, and performance. Develop and maintain unit and integration tests for data pipelines to ensure reliability and correctness. Champion a culture of documentation to support maintainability, onboarding, and cross-team collaboration. Continuously challenge the status quo and advocate for improvements in data architecture and engineering practices. Stay current with advancements in distributed computing, data architecture, and emerging technologies. What you'll bring: 8+ years of experience in data engineering or a related field. Hands-on experience with Spark-based platforms such as Microsoft Fabric or Databricks. Solid understanding of distributed system design patterns and experience contributing to their implementation in

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