Data Engineer

Indigo Technologies; Woburn (MA); On-site; USD 140,000 - 190,000; Full time

Job summary

Indigo Technologies is seeking an experienced data platform lead to build and operate our vehicle and driver data platform. You will integrate and catalog datasets across usage, charging, maintenance, safety, and driver operations, while defining canonical data models and governance practices.

The role requires 8+ years building data platforms, strong SQL and data-engineering language skills, and experience with cloud storage/warehousing and orchestration tools.

Qualifications

• BS/MS in Computer Science or related field (or equivalent experience).
• 8+ years of practical experience building data platforms for large-scale operational, event and time-series datasets.
• Proficiency in SQL and at least one data engineering language; familiarity with cloud storage/retrieval/warehouse and orchestration tools.
• Track record implementing data quality frameworks, schema/version control, and data governance (privacy/security).
• Strong data modeling and stakeholder communication; familiarity with vehicle/driver operations a plus.

Responsibilities

• Build and operate the vehicle-and-driver data platform: integrate, transform, and catalog datasets across usage, charging, maintenance, safety, and driver operations.
• Define canonical data models and contracts; implement governance for quality, lineage, privacy, and retention.
• Deliver analytics-ready tables, feature stores, and secure APIs for engineering, operations, and customer reporting.
• Partner with Product, Engineering, and Operations to prioritize data needs, standardize metrics, and support experiments/dashboards.

Job description

• Build and operate the vehicle-and-driver data platform: integrate, transform, and catalog datasets across usage, charging, maintenance, safety, and driver operations.
• Define canonical data models and contracts; implement governance for quality, lineage, privacy, and retention.
• Deliver analytics-ready tables, feature stores, and secure APIs for engineering, operations, and customer reporting.
• Partner with Product, Engineering, and Operations to prioritize data needs, standardize metrics, and support experiments/dashboards.

Experiential Background:

• BS/MS in Computer Science or related field (or equivalent experience).
• 8+ years of practical experience building data platforms for large-scale operational, event and time-series datasets.
• Proficiency in SQL and one at least one data engineering language; familiarity with cloud storage/retrieval/warehouse and orchestration tools.
• Track record implementing data quality frameworks, schema/version control, and data governance (user and system privacy/security).
• Strong data modeling and stakeholder communication; familiarity with vehicle/driver operations a plus.