Senior Data Engineer

Get AI-powered advice on this job and more exclusive features.

This range is provided by DOWC. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

$/yr - $/yr

This position is fully on-site in Parsippany, NJ and candidates must reside local to the area. Kindly do not apply if you need hybrid or remote at this time. Please read the full job description before applying.

About Us

Dealer Owned Warranty Company LLC is a leading provider of F&I (Finance and Insurance) partnership services in the automotive industry, offering a full suite of obligor and administrator services, top‑of‑the‑line products, technology, and training. We understand the importance of leveraging process and technology in the F&I industry to drive revenue and ensure success. Our goal is to provide visibility, transparency, and the tools needed for our partners to build their wealth and achieve our goals.

All of our positions are fully on-site in Parsippany, NJ.

Job Summary

The Data Engineer leads the design, development, and maintenance of scalable and secure data architecture, pipelines, and systems to support the company’s data‑driven initiatives. This role not only ensures the integrity, performance, and delivery of data solutions but also guides the broader data engineering team, mentors junior engineers, and drives innovation and best practices. The Senior Data Engineer collaborates cross‑functionally to align data solutions with strategic business goals and plays a critical role in shaping the company’s data infrastructure roadmap.

Duties/Responsibilities:

Data Architecture, Pipeline Development, and Automation

• Design and build robust, scalable, and efficient ETL pipelines that support complex data workflows and meet evolving business needs.
• Lead the automation of data ingestion from diverse sources (databases, APIs, cloud services) and ensure system reliability and failover readiness.
• Oversee the optimization of data storage, processing, and retrieval for performance, cost‑efficiency, and scalability.

Process Improvement and Technical Leadership

• Identify, evaluate, and implement improvements to legacy systems, ensuring alignment with current and future business demands.
• Research, recommend, and introduce advanced tools, frameworks, and technologies to enhance the data platform.
• Provide technical leadership to the data engineering team, including mentoring, code reviews, and enforcing engineering best practices.

Data Governance, Integrity, and Quality

• Ensure end‑to‑end data quality and integrity by establishing and enforcing robust validation, monitoring, and testing protocols.
• Collaborate with cross‑functional stakeholders to translate business requirements into well‑defined data models and transformations.
• Proactively identify and resolve data inconsistencies, gaps, and errors across systems.

Cross‑functional Collaboration

• Partner closely with data analysts, data scientists, product managers, and business leaders to deliver data products that enable analytics, reporting, and advanced modeling.
• Work with Dev Ops, software engineering, and IT teams to ensure seamless integration of data systems with enterprise platforms.
• Drive the creation of self‑service data tools, dashboards, and reporting solutions that empower business teams.

Documentation, Knowledge Sharing, and Strategy

• Develop and maintain comprehensive documentation for data models, pipelines, processes, and system architecture.
• Share knowledge and lead training efforts to upskill the team and promote a data‑driven culture.
• Contribute to the long‑term data strategy, including architecture roadmaps, data governance policies, and compliance initiatives.

Other Responsibilities

• Perform any other duties assigned by the discretion of management.

Required

Skills & Experience:

• Minimum of 7‑10+ years of data engineering experience is required.
• Bachelor's Degree in Data Engineering, Computer Science, Data Analytics or related field is required. Master's Degree preferred.
• MUST have excellent communication skills both written and verbal in English. Must be able to present data to leadership and collaborate with team members.
• Strong technical…