Staff Data Engineer

TL;DR

Staff Data Engineer: Leading the modernization, design, implementation, and maintenance of our data platform, architecting a robust and scalable solution that seamlessly blends real-time and batch workloads with an accent on data quality, security, privacy, and governance standards. Focus on implementing automated data profiling, cleansing, and validation processes to ensure the accuracy, completeness, and timeliness of our data.

Location: Remote (US)

Salary: $115,000 - $215,000 a year

Company

hirify.global is dedicated to transforming communication for school districts nationwide by developing cutting-edge solutions that empower schools to build strong brands and effectively reach their audiences.

What you will do

• Lead the modernization, design, implementation, and maintenance of our data platform.
• Own the architecture and development of end-to-end data pipelines, ensuring data hygiene and distributing the processed data to downstream systems.
• Establish a single source of truth for all core data entities and define a synchronization strategy to ensure data integrity and consistency across all hirify.global products and services.
• Define and enforce data quality, security, privacy, and governance standards.
• Act as a technical mentor and set best practices and technical standards for data engineering, modeling, and pipeline development.
• Partner with product, engineering, and customer success teams to translate business requirements into scalable data solutions and accessible data assets.

Requirements

• A Bachelor's or Master's degree in Computer Science, Statistics, Informatics, Information Systems, or a related quantitative field, or equivalent experience with 8+ years of experience in software engineering or data engineering, with at least 3 years in a senior or staff-level role.
• Proven experience at the Staff or Principal level in a data engineering or related technical role.
• Demonstrated success in designing and implementing complex, end-to-end data platforms.
• Expertise in Python, SQL, and other relevant languages for data manipulation and automation.
• Experience with data streaming frameworks such as Kafka and Kinesis to provide realtime data ingestion and distribution.
• Strong knowledge of data architecture, data modeling, data warehousing and entity resolution concepts.

Nice to have

• Prior experience with K-12 district and school data systems, particularly Student Information Systems (SIS), such as PowerSchool, Infinite Campus, or Skyward.
• Experience in the B2B SaaS industry.
• Experience with AirFlow and DBT.
• Familiarity with event-driven architectures and messaging services.

Culture & Benefits

• Comprehensive medical, dental, vision, and life insurance coverage
• Retirement 401(k) with employer match
• Health Savings Accounts (HSA) and Flexible Spending Accounts (FSAs)
• Mental Health Reimbursement
• Unlimited paid time off
• Company-wide Winter Break