Director of Data Engineering

Director Of Data Engineering

OnTrac is hiring a Director of Data Engineering! Are you eager to join a dynamic and expanding company where you can both learn and make a meaningful impact? If you possess a strong sense of empathy, enjoy assisting others, thrive in a fast-paced environment, and excel at problem-solving, we encourage you to apply today to connect with a recruiter!

Founded in 1986, OnTrac has evolved into the leading provider of same-day and next-day delivery services in the U.S. for premier e-commerce and product-supply businesses, including five of the largest retailers in the U.S.

Location: Remote - This position may be performed remotely in states where the company is authorized to employ individuals.

Compensation: The expected starting base pay range for this position is $180,000 - $225,000, with full potential base salary range over a successful candidate's tenure in the position of $180,000 - $270,000. Actual compensation will be determined based on experience, skills, internal equity, and other job-related factors. 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.

The Director of Data Engineering leads the overall data engineering function, setting strategic priorities and ensuring alignment with broader organizational goals. This role establishes long-term operating strategies for enterprise data platforms, pipelines, tooling, governance, and migration to scalable data solutions. The Director oversees departmental budgeting, staffing, resource planning, and performance optimization while leading a high-performing data engineering team. This role partners across IT, Operations, Commercial, Finance, corporate functions, BI, Analytics, and Data Governance to create trusted, documented, and AI-ready data products.

Employees are eligible for a comprehensive benefits package which may include:

• 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

Benefits eligibility and offerings are subject to the terms and conditions of the applicable plans and company policies.

The Must-Haves:

• 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%

Your Mission in Motion:

• 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.

Paving your way to your success:

• You bring a strong governance mindset, establishing standards, documentation, controls, and repeatable processes that create a single source of truth and reduce inconsistent or conflicting metrics.
• You apply strong financial and operational acumen to manage budgets, prioritize enterprise data initiatives, and allocate specialized talent to the highest-value work.
• You communicate complex technical and data concepts clearly to senior leaders, business stakeholders, and technical teams while maintaining appropriate confidentiality.
• You translate business requirements into governed, trusted, and well-documented data products that support analytics, BI, executive reporting, and operational decision-making.
• You translate business segment strategy into functional plans, lead effective execution, and contribute to enterprise-wide methodologies, best practices, and performance criteria for initiatives and talent.

Posting Timeline: This job posting is anticipated to remain open for at least 15 days from the date of posting.

Disclosures:

*Washington state employees are eligible for up to 56 hours of paid sick leave annually.

The salary range above represents the national range for this position. The salary range may be inclusive of several career levels at OnTrac, and the actual base salary offered may vary depending on several factors including, but not limited to: Geographic location, candidate experience and qualifications, job-related skills and competencies, market alignment, and financial considerations.

Compensation decisions are made based on the specific circumstances of each hire to ensure fair and competitive pay.

ADA Statement: We are committed to providing equal employment opportunities to all qualified individuals. If you require reasonable accommodation to participate in the application or interview process, perform essential job functions, or access other employment benefits, please contact Human Resources.

If you are excited to be part of our team and grow with our OnTrac family, we invite you to apply! OnTrac is proud to be an Equal Opportunity Employer.

Lasership, Inc. dba OnTrac Final Mile with its affiliates, including OnTrac Logistics, Inc. (collectively, "OnTrac" or the "Company") is an equal opportunity employer. We value diversity and welcome applications from individuals of all backgrounds, abilities, and experiences. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or age. Join us in our commitment to creating a diverse and inclusive workplace. If you are excited to be part of our team and contribute to our talent acquisition efforts, we invite you to apply.