Senior DataOps Engineer (Automotive)

Location: Remote within the United States; occasional in-person meetings and travel for company events may be required. The role is not eligible for remote work in New York City.

Salary: Initial base salary of $140,000–$170,000 annually; California base salary range of $154,000–$187,000 annually. The position is full-time, exempt, and eligible for an annual performance bonus.

Company

hirify.global is developing electric pick-up trucks and rugged SUVs by electrifying and digitizing an iconic American automotive brand.

What you will do

• Design, implement, automate, maintain, and support enterprise-scale cloud data platforms using Databricks, AWS, and infrastructure as code.
• Lead the design, development, optimization, and operational management of ETL/ELT, batch, streaming, and event-based data pipelines.
• Build and optimize Databricks clusters, Delta Lake solutions, data models, data integration infrastructure, and high-availability data services.
• Develop BI dashboards for trends and forecasts and design, train, and deploy machine-learning models.
• Implement monitoring, data governance, security, compliance, reliability, scalability, and performance improvements.
• Collaborate with software, systems, security, product, development, and business teams on robust data solutions.

Requirements

• Bachelor’s degree in computer science, information technology, or a related field, or equivalent work experience.
• 8+ years of hands-on DataOps engineering experience in a manufacturing or automotive environment.
• Experience with streaming and event-based architecture and implementing data lakehouse solutions using Databricks.
• Experience with infrastructure as code using Terraform.
• Proficiency building data pipelines with Python and SQL.
• Experience with AWS data services such as Glue, Kinesis, and Firehose, or comparable services; several years of experience with AWS and Azure.
• Experience with structured, unstructured, and time-series databases, including RDS, DynamoDB, DocumentDB, Mongo, Cassandra, and Influx.
• Proven ability to develop and deploy scalable ML models, extract actionable insights using ML techniques, and use ML algorithms for forecasting and decision-making.
• Strong problem-solving, troubleshooting, communication, collaboration, adaptability, and clean-implementation skills.

Culture & Benefits

• Entrepreneurial, inclusive, collaborative, and fast-paced environment focused on building products and a company from the ground up.
• Medical, dental, vision, and income-protection insurance plans.
• 401(k) program with employer match and immediate vesting.
• 20 days of planned PTO, 40 hours of unplanned PTO, and 14 company or floating holidays annually.
• Up to 16 weeks of paid parental leave, plus paid leave for bereavement, jury duty, voting time, and military leave.