Note: The job is a remote job and is open to candidates in USA. OnTrac is a provider of same-day and next-day delivery services in the U.S. The Director of Data Engineering leads the data engineering function, establishes enterprise data platform and governance strategies, and oversees scalable pipelines and AI-ready data products. The role also manages budgets, staffing, cross-functional partnerships, and development of a high-performing data engineering team.
Responsibilities
- Data engineering strategy & operating model: Set the strategy and operating model for enterprise data engineering, including pipelines, platforms, tooling, standards, and the long-term migration to scalable data solutions
- Pipeline performance & reliability: Oversee the design, development, performance, reliability, and uptime of ETL/ELT pipelines that extract, cleanse, enrich, and prepare data from core systems and non-system sources
- Governed, AI-ready data products: Lead the development of governed, documented, and AI-ready data assets that support trusted analytics, certified reporting, self-service BI, and business decision-making
- Cross-functional requirements & data alignment: Partner with IT, business leaders, BI teams, analysts, and data stewards to define requirements, align metric definitions, strengthen governance, and ensure data products have clear business context
- Engineering standards, quality & lifecycle governance: Establish and enforce data engineering standards, documentation practices, quality controls, and lifecycle processes that reduce duplication, improve consistency, and protect enterprise data integrity
- Budget, staffing & resource prioritization: Manage departmental budgets, staffing plans, priorities, and resource allocation to support high-value data initiatives and the efficient use of specialized talent
- Team leadership & development: Build, lead, and develop a high-performing data engineering team, overseeing hiring, coaching, performance management, corrective action, and talent development
Skills
- • 12+ years of relevant experience, including management experience, with a Bachelor's degree or equivalent
- • Deep knowledge of data engineering practices, including ETL/ELT pipelines, extraction layers, data cleansing, enrichment, performance optimization, and platform scalability
- • Strong understanding of modern data architecture, including landing zones, cloud-based data platforms, analytics layers, reporting layers, data warehouses, data lakes, and AI-ready data assets
- • Demonstrated ability to partner with IT, Operations, Commercial, Finance, corporate teams, BI engineers, analysts, and data stewards to align priorities and resolve data-quality or metric-definition issues
- • Familiarity with GCP/BigQuery, OneLook, Power BI, and core operational/source systems such as FasTrac, OTM, Oracle, Salesforce, Dayforce, EPC, INVDB, YMS, SLOF, and SLEF
- • Proficiency in SQL and Python, with the ability to guide the development of scalable data pipelines, analytics layers, reporting-ready datasets, and self-service BI models
- • Familiarity with modern data engineering and analytics engineering practices, including Git-based development, CI/CD, documentation standards, dbt or similar transformation frameworks, Databricks or equivalent data processing platforms, and governed data lifecycle management
- • Ability to travel up to 25%
Benefits
- Remote work in states where the company is authorized to employ individuals
- Medical, dental, and vision insurance
- Life and short- and long-term disability coverage
- 401(k) retirement savings plan with company match
- Flex vacation in states other than CA, CO, IL, MA, MT, and NE, with accruals up to 96 hours for first year of employment with tenure-based increases up to 160 hours
- Two (2) floating holidays per year
- Paid sick leave
- Six (6) paid company holidays
- Two (2) weeks paid pregnancy disability leave, four (4) weeks paid parental bonding leave
- Additional wellness and employee assistance programs
- This position may also be eligible for bonus, commission, or other incentive compensation in accordance with the terms of the applicable plan of up to a 25% Bonus Target
- Washington state employees are eligible for up to 56 hours of paid sick leave annually.
Company Overview
Company H1B Sponsorship