Join Tekmetric as a Data Engineer

About Tekmetric:

Tekmetric is a cutting-edge, cloud-based auto-repair shop management system that prioritizes an intuitive workflow and exceptional customer care. Founded in Houston, Texas in 2015, Tekmetric champions transparency, integrity, and innovation. Our service-mentality puts customers first, ensuring reliable and fast service from day one. As we grow rapidly, the core value of listening to our customers remains steadfast.

We are expanding our team with dynamic candidates who are eager to enhance our industry-leading software. We're dedicated to making our system more intuitive, integrating features that simplify our customers’ lives, optimizing internal processes, and fostering strong relationships with top industry partners. Our customers love our products, we love serving them, and we relish the journey we’re on together.

Role: Data Engineer

As a Data Engineer at Tekmetric, you'll be integral to designing, implementing, and maintaining our data infrastructure and pipelines. Collaborate with cross-functional teams, including engineering, product, and revenue, to ensure data accuracy and accessibility. Your skills will drive the optimization of data flow and storage, allowing us to extract actionable insights and drive innovation.

Key Responsibilities:

• Build scalable data pipelines using Python, Spark, and Airflow to move data from different applications into our data lake.
• Define and implement long-term technology strategies and innovation roadmaps across data engineering areas.
• Provide hands-on technical and execution leadership for the data engineering team.
• Work with various cross-functional teams to maintain the integrity of our data warehouse and infrastructure.
• Collaborate with upstream engineering groups to enhance data generation methods.
• Work with data recipients across Tekmetric to understand usage trends and develop user-friendly data models.
• Contribute to shared data engineering tooling and standards.
• Establish and promote data engineering best practices across the company.

Qualifications:

• 5+ years of software engineering experience focusing on data.
• Expertise in SQL and one or more programming languages (ideally Python, Java, or Scala).
• Experience with ETL tools and frameworks (e.g., Apache Spark, Apache Airflow).
• Proficiency in data modeling, data architecture design, and ETL pipelines.
• Experience with batching and streaming data infrastructure.
• Familiarity with data visualization tools (Looker, Tableau, etc.).
• Ability to thrive in fast-paced and dynamic environments.
• Degree in Computer Science or Engineering.
• Hybrid work model for candidates local to the Arlington, VA area.

Core Values:

Successful candidates will exemplify our core values:

• Build things that matter: Passionate about creating new solutions or improving existing ones to make a positive impact.
• We’re all entrepreneurs: Enjoys learning new things, thrives in a fast-paced, startup-like environment, and can lead oneself and others effectively.
• Yes before no: Open-minded and excited about new ideas, helping others bring their ideas to fruition. Intellectually curious and strategic.
• We matter to each other: Values teamwork and ethics, understanding that individual success contributes to overall success. Protects confidential information responsibly.

Benefits:

Healthcare Insurance and Leave:

• Flexible and remote work opportunities.
• Generous PTO.
• Exceptional leave programs for life’s significant moments, including maternity, paternity, and parental bonding, as well as medical leave.
• Comprehensive Medical, Dental, Vision, and Prescription Drug Coverage.

Financial Benefits:

• 401(k) Retirement Savings Plan with a 6% match.
• Employer-covered Short-Term Disability (STD), Long-Term Disability (LTD), Life, and AD&D Insurance Programs.
• Up to $60 monthly for wellness expenses and activities.
• Education Assistance for undergraduate/graduate courses and continuing