Principal 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 13, 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

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

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

Read the full description at blackbaud.wd1.myworkdayjobs.com. FewerJobs shows a preview and links to the original posting.