Senior Data Engineer

Location: Hybrid, with three days per week on-site in the San Francisco office

Salary: $175,000–$190,000 base compensation per year, plus equity and benefits

Company

hirify.global builds software for active people, helping athletes track workouts, connect with others, and achieve their goals.

What you will do

• Design, build, and operate foundational data systems and shared data assets for analytical, operational, and business use cases.
• Build scalable data ingestion and transformation frameworks across the data lake and data warehouse, including dbt-based capabilities.
• Develop durable domain data models for core areas such as users, subscriptions, and activities.
• Implement data governance, privacy, and regulatory workflows covering GDPR deletion, retention, access, and lifecycle management.
• Improve data platform reliability through testing, quality checks, lineage, monitoring, alerting, and observability tooling.
• Partner with data, software, security, privacy, infrastructure, and data science teams on scalable architecture and engineering standards.

Requirements

• 3–5+ years of professional experience in data engineering, data infrastructure, software engineering, or a related field, with ownership of production data systems.
• Strong SQL and data modeling experience for large-scale analytical systems.
• Experience with ETL/ELT and data processing frameworks such as dbt, Airflow, or Spark.
• Proficiency in at least one general-purpose programming language, such as Python, Scala, Java, or Go.
• Experience with data warehouse and data lake architectures, large datasets, schema evolution, incremental processing, deduplication, backfills, and data quality.
• Understanding of lineage, retention, deletion, access control, PII handling, GDPR/privacy requirements, cloud infrastructure, and production observability.

Nice to have

• Experience with Kafka, Flink, Kubernetes, Iceberg, open table formats, data catalogs, lineage systems, schema management, CDC, or internal developer platforms for data engineering.

Culture & Benefits

• Flexible hybrid work model with regular in-office collaboration in San Francisco.
• Equity and employee benefits are included in the total compensation package.
• Inclusive workplace focused on movement, accessibility, and helping people live active lives.
• Opportunity to work on software used by more than 200 million athletes across over 185 countries.