The Role
The Staff Software Engineer will oversee the data ingestion system, ensuring reliability and quality in data processing while leading strategic architectural decisions and mentoring other engineers.
Summary Generated by Built In
RevolutionParts is a mission-driven organization and pioneer in industry cloud, disrupting and innovating in the automotive space by creating the most active parts network in North America. Since our inception, dealerships have sold more than $1 BILLION in parts and accessories online using the RevolutionParts platform. We are here to transform the way parts buyers and sellers connect.
At the heart of RevolutionParts are our core values: Think Big, Own It, Wow Them, Leave Your Ego at the Door, Work Together Win Together, and Move Fast, Fail Fast.
Join us in transforming the automotive industry, committed to making a positive impact on our customers and their digital transformation journey.
The Role:
RevolutionParts is growing rapidly, and the reliability and quality of our core data—catalog, pricing, and inventory—is paramount to our success. This data flows through our established, high-volume ETL pipeline, which is the heart of our platform.
As a Staff Software Engineer, Data Ingestion, you will serve as the technical authority for our data ingestion and persistence ecosystem. You are a "force multiplier," balancing deep hands-on execution with high-level architectural strategy. You will own the reliability of our mission-critical, high-volume ETL pipelines (PHP, MySQL, PostgreSQL) while simultaneously defining the 2–3 year roadmap for our next-generation data architecture.
Please note: Applicants must be authorized to work for any employer in the U.S. We are unable to sponsor employment-based visas at this time.
- Please note that preference will be given to candidates who live in the greater Phoenix, Arizona, area.
- This role will require working in our Tempe, AZ (HQ) twice a week.
At RevolutionParts, we expect team members to actively use modern tools — including AI-powered systems — to improve decision-making, productivity, and quality of work.
This includes:
- Using AI tools responsibly to accelerate research, analysis, documentation, and problem-solving
- Exercising strong judgment around data privacy, accuracy, and ethical use
- Continuously learning and adapting as AI capabilities evolve
Proven examples of using AI to improve outcomes in prior roles is expected.
Responsibilities:
- Cross-Functional Liaison and Project Management: Act as the primary technical partner for Product, BI, Platform Engineering, and Executive Leadership, translating complex data trade-offs into business strategy. Own the end-to-end lifecycle of complex, multi-quarter initiatives—from technical discovery to execution. You will utilize Agile, Scrum, or Kanban to manage dependencies across teams, ensuring high-velocity delivery without compromising architectural integrity.
- Technical Roadmap: Define, govern, and drive the long-term evolution of the data ingestion stack. You will lead the strategic transition toward a V2 architecture (e.g., event-based processing, modern languages/services) while ensuring the current PHP-based pipeline remains performant and stable.
- Architectural Governance: Establish and enforce engineering standards and data hygiene practices (e.g., schema design, query optimization, observability) across all teams interacting with core persistence tiers.
- Complex Problem Resolution: Lead the investigation of the most ambiguous, high-severity issues regarding data quality, latency, or performance that span multiple microservices and databases.
- Expert System Ownership: Become the ultimate authority on our custom ETL workflows for catalog, pricing, and inventory data, taking accountability for its architecture and day-to-day performance.
- Data Reliability Champion: Design and implement sophisticated monitoring, alerting, and validation frameworks that ensure data accuracy and timely delivery across the organization.
- Pragmatic Debt Management: Own the final technical decisions for the ingestion domain, striking the critical balance between immediate stability, feature delivery, and long-term technical debt.
- Mentorship: Act as a formal coach for Senior Engineers, leveling up the organization’s skills in high-volume database performance, distributed systems, and advanced data modeling.
- Experience: 10+ years of experience in software or data engineering, with at least 3+ years in a leadership or staff-level capacity managing complex, high-volume systems.
- Expertise in orchestrating ELT/ETL pipelines using dbt, Airflow, or Dagster, with a focus on data modeling and warehouse optimization (Snowflake, BigQuery, or Databricks).
- Proficiency in real-time streaming architectures using Kafka, Redpanda, or Flink to bridge the gap between application backends and analytical layers.
- Technical Depth: Deep, hands-on mastery of PHP and backend application development (or comparable imperative languages) in mission-critical environments.
- Database Expert: Exceptional ability to design, tune, and optimize complex SQL and relational schemas (MySQL/PostgreSQL).
- System Design: Proven track record of architecting distributed systems and migrating legacy pipelines to modern architectures (e.g., microservices, event-driven systems).
- Education: Bachelor’s and/or Master’s degree in Computer Science, Engineering, or equivalent professional experience.
- Leadership: Experience leading through influence across multiple teams using Agile, Scrum, or Kanban methodologies.
- Communication: Elite ability to communicate technical complexity to non-technical stakeholders and executives.
- Core: PHP, MySQL, PostgreSQL, AWS, Kubernetes, Golang.
- Experience with Python, dbt, AWS Glue, or modern event-streaming platforms (Kafka/Kinesis).
- Experience in the domains of payments, eCommerce, Marketplaces, and/or complex Product Information Management modeling.
Are you not sure you meet 100% of the qualifications? You should still give it a shot! Research shows that men will apply to a job when only meeting 60% of the requirements, whereas women and members of other underrepresented groups typically only apply when they meet every single requirement. At Revolution Parts, we are Revolutionaries. We build tools, products, and our people. We value diversity in backgrounds and thoughts, so take a shot and apply! Please highlight some of your accomplishments in your resume and cover letter so we can talk about how you can grow with us.
RevolutionParts is proud to provide all full-time Revolutionaries with a comprehensive employment package including competitive compensation, career development, benefits, 401K match, parental leave, and many more valuable perks. You can learn more about our core-value driven culture at our career page.
RevolutionParts is an Equal Opportunity Employer; we value diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, gender orientation, gender identity or expression, sexual identity, sexual orientation, age, marital status, family status, genetic information, veteran status, or disability status.
Please Note: You will only receive correspondence through the Gem ATS or from a @revolutionparts.com email address. If you are receiving communication through any other platform or domain, it may be fraudulent, and we urge you to ignore the communication.
CompensationThe base pay range for this role is $160,000 – $180,000 per year.
Top Skills
Airflow
AWS
BigQuery
Dagster
Databricks
Dbt
Flink
Go
Kafka
Kubernetes
MySQL
PHP
Postgres
Redpanda
Snowflake
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The Company
What We Do
RevolutionParts accelerates OEM parts and accessories sales for every major automotive brand. The company’s core focus is on delivering an enterprise-ready platform for parts retail and wholesale commerce channels. The RevolutionParts platform powers more than $425M in annual sales and reaches millions of unique buyers globally. For more information, visit www.revolutionparts.com.
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