Lead Data Engineer

At Dynatron Software, we help automotive service departments increase revenue and
profitability with our suite of services. We strive to be a people-first company where employees enjoy coming to work, the people they work with, and are given the autonomy to succeed. Our company culture is built on a foundation of teamwork, accountability, integrity, clear communication, and positive attitudes.
We are currently looking to add new talent to our growing team!
About the Role:
We are seeking a true data engineering “expert” that will hit the ground running. This role will be critical to the success of the Dynatron SaaS and DaaS product portfolio. Your focus will be ensuring our data pipelines, data warehouse, and overall data quality are rock-solid and will support the company’s strategic vision around data. To be successful in this role you must have:

• BOTH leadership and hands-on experience. You will be a thought leader in evaluating and recommending best practices. You will also be hands-on in implementing these best practices.
• Provide technical leadership and mentorship to a team of data engineers, fostering a culture of collaboration, innovation, and continuous learning.
• An ability to challenge the current architecture based on your prior experience and justify your recommendations. Don’t just accept the status quo.
• Desire to become an “expert” on all aspects of Dynatron data
• Extensive experience designing, implementing and automating best-of-breed data pipelines using platforms such as Airbyte, Airflow, Snowflake, and Stored Procedures 
• Extensive experience designing, modeling and implementing data warehouses on the Snowflake platform. You MUST have expert experience in Snowflake. Experience with other platforms is also helpful (e.g Redshift)
• Extensive experience with custom ETL and pipeline development using languages such as Python and PHP
• Extensive experience with approaches to ensure data quality throughout the data pipelines and in the data warehouse and addressing data quality issues with the current architecture
• Experience with AWS technology stack, including S3 and Lambda
• Experience creating custom ML models and creating generative AI solutions is a nice to have
• Collaborate closely with cross-functional teams, including product owners, software engineers, data scientists and business stakeholders, to understand data requirements and deliver solutions that meet evolving business needs.
• Lead by example, demonstrating a commitment to excellence, integrity, and professionalism in all aspects of your work.

Additional Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.
• 5+ years of experience in designing, implementing, and maintaining relational/data warehousing environments.
• Experience working with relational databases such as MySQL and Vitess (sharded databases)
• Experience with CI/CD pipelines and version control systems (e.g., Bitbucket) for managing codebase and deployments.
• Experience with Big Data technologies such as Hadoop, Spark, Beam, Flink, or similar technologies is a plus.
• Excellent problem-solving skills with a strong attention to detail.
• Ability to work both independently and as part of a team.
• Excellent verbal and written communication skills.

In Return for Your Expertise, You Will Receive:

• Excellent benefits including health, dental, and vision insurance, stock options, work from home and flexible scheduling depending on job requirements, professional development opportunities, 9 paid holidays, and 15 days PTO.
• Home office setup support for remote employees.
• A welcome “swag bag” with branded clothing as an official welcome to the team.
• The chance to work for an organization that puts people first and fosters a culture of teamwork, integrity, communication, accountability, and positive attitude!
• Dynatron Software is an Equal Opportunity Employer and encourages all qualified individuals to apply.

Compensation Range: $140,000 - $160,000