Staff Data Engineer

Location: HQ, United States of America; teams are based in New York City and Chicago.

Salary: $208,500–$225,000 in New York and $187,500–$202,500 in Illinois.

Company

hirify.global operates Grubhub, a U.S. ordering and delivery marketplace connecting more than 415,000 merchants across over 4,000 cities through restaurant technology and delivery services.

What you will do

• Own the end-to-end architecture of critical data pipelines and domain data products, including ingestion, transformation, modeling, and serving.
• Set data engineering standards across multiple teams for modeling, CI/CD testing, validation, observability, and SLOs for tier-1 datasets.
• Write performant, concise, and secure code for complex business-critical problems and lead design and code reviews across teams.
• Partner with product, analytics, and platform teams to standardize metrics and publish trusted datasets for reporting, experimentation, and analysis.
• Manage technical debt, cost inefficiency, and reliability risks; evaluate technologies and architectural patterns for the platform.
• Mentor engineers, participate in hiring, communicate technical trade-offs to leadership, and promote data engineering best practices.

Requirements

• Bachelor's degree in a science, programming, or engineering-related field, or equivalent experience.
• 6+ years of data engineering experience with a strong foundation in distributed systems and software engineering.
• Deep expertise in dimensional data modeling, including star and snowflake schemas, fact and dimension design, slowly changing dimensions, and reusable governed data products for analytics at scale.
• Advanced SQL and hands-on experience with large-scale distributed processing frameworks such as Spark, PySpark, Spark SQL, Hive, Trino, and Flink, including performance tuning and cost optimization.
• Multi-cloud data platform experience across AWS, including S3 and EMR, and GCP, including BigQuery, GCS, and Dataproc.
• Experience building batch and streaming pipelines with workflow orchestration tools such as Airflow or Azkaban, and experience with event-driven architecture.
• Strong data quality engineering practices covering CI/CD automated testing, data validation, data observability, and data privacy.
• Solid software engineering fundamentals, including Python, data structures and algorithms, clean and testable code, and code reviews.
• Demonstrated staff-scope technical leadership, including setting direction across multiple teams or systems, leading architecture reviews, and influencing without direct authority.
• Clear communication with technical and non-technical audiences, including executive stakeholders, and a pragmatic approach to software quality and standards.

Nice to have

• Java or Scala experience.
• Experience migrating data pipelines and warehouses to GCP and BigQuery.
• Finance and accounting domain experience involving orders, payments, accounting, FP&A, and certified metrics such as GMV and net revenue.
• Experience building reconciliation pipelines from orders through payments to the ledger for month-end close, revenue, and accruals.
• Experience with SOX-compliant data pipelines, including change management, access controls, data lineage, and auditability.

Culture & Benefits

• Data is treated as a product and a critical business asset, with emphasis on cost efficiency, reliability, observability, and safe data use.
• Benefits include equity, a 401(k), medical, dental, and vision plans, and company-paid short- and long-term disability coverage.
• Paid time off, flexible time off for exempt employees, paid vacation for non-exempt employees, paid sick leave, and paid parental leave are available.
• Additional benefits include discounted meals and exclusive perks across the hirify.global family of brands.
• hirify.global supports objective hiring and diversity, equity, and inclusion, and participates in the federal E-Verify program.

Hiring process

• Interviews are scheduled by email or text, with information shared throughout the candidacy process.
• Accommodations are available during the interview process upon request.