Lead Data Engineer

Vantor • Westminster, CO

1d • $107,000 - $179,000

About The Position

Vantor is forging the new frontier of spatial intelligence, helping decision makers and operators navigate what’s happening now and shape what’s coming next. Vantor is a place for problem solvers, changemakers, and go-getters—where people are working together to help our customers see the world differently, and in doing so, be seen differently. Come be part of a mission, not just a job, where you can: Shape your own future, build the next big thing, and change the world. To be eligible for this position, you must be a U.S. Person, defined as a U.S. citizen, permanent resident, Asylee, or Refugee. Note on Cleared Roles: If this position requires an active U.S. Government security clearance, applicants who do not currently hold the required clearance will not be eligible for consideration. Employment for cleared roles is contingent upon verification of clearance status. Export Control/ITAR: Certain roles may be subject to U.S. export control laws, requiring U.S. person status as defined by 8 U.S.C. 1324b(a)(3). Please review the job details below.

Requirements

• 8+ years of experience in data engineering, analytics engineering, or data platform roles, with 2–3+ years in a technical lead capacity.
• Proven experience designing, building, and operating scalable data ingestion and transformation pipelines across structured, semi-structured, and unstructured data sources.
• Hands-on, production experience with Fivetran (or equivalent managed ingestion tools) for source system ingestion, connector management, schema evolution, and data reliability.
• Deep, hands-on experience with dbt for: Building modular, reusable transformation models, Implementing data tests, freshness checks, and documentation
• Strong experience implementing modern ELT architectures on cloud data platforms such as Snowflake or Databricks.
• Demonstrated ability to build reusable data frameworks with embedded:, Automated data quality validation and testing, Monitoring, alerting, and SLA tracking, Operational reliability and observability
• Strong understanding of data modeling, partitioning, performance optimization, and cost management for large-scale analytical workloads.
• Experience partnering with data architecture and governance teams to: Capture lineage and metadata, Embed governance and quality checks into data pipelines, Enforce standards through code and automation
• Experience supporting analytics, AI/ML, or geospatial product teams with timely, trusted, and production-ready data.
• Advanced proficiency in SQL and Python.
• Strong communication and collaboration skills, with the ability to lead technical design discussions and mentor engineers.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or equivalent practical experience.

Responsibilities

• Build scalable ingestion, transformation, and delivery pipelines for structured, semi-structured, and unstructured data.
• Develop reusable ELT/ETL frameworks with built-in validation, testing, and monitoring.
• Automate pipeline health checks, alerting, and SLA tracking for reliability and freshness.
• Partner with architects to optimize data storage, partitioning, and compute performance.
• Integrate CI/CD pipelines for data workflows (testing, deployment, rollback automation).
• Collaborate with governance to capture lineage and embed validation as part of deployment.
• Support analytics, AI, and geospatial product teams with timely, trusted data delivery.

Benefits

• Vantor offers a competitive total rewards package that goes beyond the standard, including a robust 401(k) with company match, mental health resources, and unique perks like student loan repayment assistance, adoption reimbursement and pet insurance to support all aspects of your life.
• You can find more information on our benefits at: https://www.Vantor.com/careers
• Additionally, this position is incentive eligible with a target based on contribution, company performance, and/or individual results achieved; the specific incentive plan and target amount will be determined based on the role and breadth of contributions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level