Sr. Specialist, Yield Management - GTM Data Engineer (Automotive)

Location: Dearborn, Michigan, United States; hybrid with a requirement to be onsite four or more days per week.

Salary: $115,000–$192,900 per year.

Company

hirify.global develops vehicles and mobility services and uses data-driven solutions to improve customer experiences and business decision-making.

What you will do

• Design, build, and maintain scalable ETL/ELT pipelines using Python, SQL, BigQuery, Dataflow, and other cloud data platforms.
• Develop curated business metrics, data marts, dashboards, and data models for advanced analytics, AI/ML models, and executive reporting.
• Implement data catalogs, metadata management, lineage tracking, and governance workflows.
• Optimize BigQuery performance through partitioning, clustering, query tuning, and cost management.
• Build data quality checks, monitoring, alerting, CI/CD pipelines, and API-based ingestion routines.
• Collaborate with analysts, data scientists, product teams, and business stakeholders while enforcing security, privacy, and access-control standards.

Requirements

• Bachelor’s degree in computer science, engineering, information systems, or a related field, or equivalent education and experience.
• 5+ years of experience in data engineering, software engineering, or a full-stack data role.
• 3+ years of experience with Python, SQL, BigQuery, Dataflow, and Dataform.
• Experience building and maintaining data marts, standardized business metrics, BI dashboards, and REST API ingestion routines.
• At least 2 years of experience with testing, monitoring, reliability, maintainable software design, and deployment practices.
• Candidates must be legally authorized to work in the United States.

Nice to have

• Master’s degree in computer science, engineering, information systems, or a related field.
• Experience using AI to build or maintain code and data pipelines.
• Experience with Google Cloud Platform services, Apache Airflow or Cloud Composer, Git, and CI/CD.
• Knowledge of dimensional modeling, star and snowflake schemas, data security, privacy, and governance.
• Experience in automotive, manufacturing, or connected vehicle data domains.

Culture & Benefits

• Hybrid work with regular onsite collaboration in Dearborn.
• Medical, dental, vision, prescription drug, family care, parental leave, and childcare benefits.
• Vehicle discounts, management leases, tuition assistance, and family-building benefits.
• Paid time off, paid holidays, additional vacation purchase options, and paid community service time.
• Active employee resource groups and a global work environment.