Director of Data Engineering

Confirmed live in the last 24 hours

Tekmetric (Auto Repair SaaS)

Remote (Eastern or Central Time Zones)

Hybrid

Posted April 3, 2026

Job Description

About Tekmetric

Tekmetric is the all-in-one, cloud-based platform helping auto repair shops run smarter, grow faster, and serve customers better.

Built by a shop owner and shaped by the needs of the industry, Tekmetric brings together innovation, real-world experience, and a thriving community to help shops thrive - not just survive. From running a shop, to securing payments to engaging customers, our platform simplifies operations so shop owners can focus on what really matters: delivering exceptional service, earning trust, and growing sustainably.

Officially founded in Houston in 2017, Tekmetric has grown from a single shop’s vision to the industry’s leading solution - all by staying true to our values of transparency, integrity, innovation, and a service-first mindset.

But we’re not just building software. We’re building a movement. We’re empowering repair shops to rise above the daily grind, create meaningful connections with their customers, and lead the industry forward - one interaction at a time.

Come build with us. Join the journey. Shape the future of auto repair.

Working the Tekmetric Way

At Tekmetric, we’re building a culture where winning matters - not for ego, but because when our customers win, we win together.

We move fast, stay curious, and take full ownership of our results — no excuses, no finger-pointing. If you thrive in ambiguity, take initiative, and view honest feedback as fuel for growth, you’ll feel right at home here.

We’re direct but respectful, ambitious yet grounded, and collaborative at every level. Everyone leads through impact and is encouraged to speak up, share ideas, and challenge assumptions (even your manager’s). This is a place for builders, not bystanders.

Success here takes focus, follow-through, and a willingness to roll up your sleeves — but if you’re driven by meaningful work and real results, it’s deeply rewarding. You’ll join a team that cares about the work, supports one another, and takes smart risks to achieve bold goals. Be yourself, stay mission-focused, and you’ll thrive. If that energizes you, we can’t wait to meet you.

At Tekmetric, great work happens anywhere, but great teams are built through intentional connection. We offer hybrid and remote work models based on your proximity to our office hubs. Because we value in-person collaboration, travel is an expected part of every role. We come together several times a year for team and company-wide offsites to align on goals and strengthen relationships. Attendance at these events is expected and fully supported.

What You'll Do

Tekmetric is looking for a Director of Data Engineering; you'll drive the strategy, architecture, and execution of our data platform. In this role you’ll be focused on building the data foundations that power our product and fuel our AI/ML capabilities. This is a hands-on leadership role: you'll grow a small, talented team while staying close enough to the work to make architectural calls and push code when it counts.

Own the data engineering roadmap, tightly coupled to Tekmetric's product vision and AI ambitions.
Lead, mentor, and scale a high-performing data engineering team.
Design and evolve our core data infrastructure on AWS, Apache Airflow, and Apache Spark.
Build the pipelines and feature stores that feed directly into product features and AI/ML models.
Partner with Product and Engineering to identify where data and AI can create step-change improvements in the customer experience.
Design data architectures that support both analytical workloads and real-time, in-product data serving.
Champion data quality, governance, and observability across the organization.

What You'll Bring

7–10 years in data engineering or data-focused software engineering, with 3+ years leading and developing engineers.
Deep expertise with Apache Airflow, Apache Spark, and AWS data services (S3, Redshift, EMR, Bedrock, Lambda).
Strong SQL and Python skills; Java or Scala a plus.
Experience building data infrastructure that serves product features and AI/ML workloads — not just analytics and reporting.

pythonjavagorustawsaidataanalyticsproductdesign