That’s Nice, But What’s the Job?

In short, we're looking for a Data Engineer who is passionate about transforming complex, raw data into trusted, business-ready insights. This role will be instrumental in building and optimizing scalable data models within Snowflake using dbt Core, helping teams across the organization make smarter, faster decisions. You'll partner closely with data engineers, analysts, and business stakeholders to create reliable data foundations, improve performance, enforce data quality standards, and support a modern, scalable analytics ecosystem.

In Long, as the Data Engineer, you will be responsible for:

• Developing, maintaining, and optimizing dbt Core models to transform raw data into clean, analytics-ready datasets within Snowflake.
• Designing scalable and efficient data models that support reporting, analytics, and self-service business intelligence initiatives.
• Collaborating with data engineering teams to define, build, and enhance ELT pipelines and data workflows.
• Leveraging Python to automate data transformation processes, implement data quality checks, and improve operational efficiencies.
• Monitoring, troubleshooting, and optimizing Snowflake query performance while balancing platform cost efficiency.
• Building and maintaining testing frameworks and validation processes to ensure data accuracy, consistency, and reliability.
• Creating and maintaining documentation, metadata, and data lineage information to support governance and transparency.
• Partnering with analysts and business stakeholders to understand reporting requirements and deliver scalable data solutions.
• Supporting enterprise data governance initiatives and helping establish best practices for data management.
• Contributing to the continuous improvement of the organization's data architecture, standards, and analytical capabilities.
• Working independently while effectively collaborating with cross-functional teams and stakeholders across the business.

• Self-starters who thrive in fast-paced environments and can take ownership of projects from concept to delivery.
• Strong problem-solvers who enjoy working with complex datasets and translating business needs into technical solutions.
• Collaborative team players who communicate effectively with both technical and non-technical audiences.
• Professionals who are passionate about data quality, governance, and building trusted data products.
• Curious learners who stay current with emerging technologies and best practices in data engineering and analytics.
• Highly organized individuals who can balance multiple priorities while maintaining attention to detail.
• Results-oriented contributors with a mindset focused on continuous improvement and operational excellence.

• 3+ years of experience in BI Engineering, Analytics Engineering, Data Engineering, or Data Modeling.
• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required; Master's degree preferred.
• Hands-on experience building and maintaining data models using dbt Core.
• Strong experience working with Snowflake and modern cloud-based data platforms.
• Extensive experience designing, building, and optimizing scalable data pipelines and data infrastructure.
• Proficiency with SQL and advanced data modeling techniques.
• Strong programming experience in Python and familiarity with data engineering languages such as Java or Scala.
• Experience working with on-premises SQL Server environments.
• Experience integrating and managing data workflows utilizing Kafka, Argo, and SSIS.
• Knowledge of ELT/ETL architecture, data warehousing concepts, and analytics engineering best practices.
• Experience implementing data quality testing, monitoring, and validation frameworks.
• Understanding of metadata management, data lineage, and data governance principles.
• Strong analytical, troubleshooting, and problem-solving abilities.
• Excellent verbal and written communication skills.

• Experience with BI and data visualization tools such as Sigma
• Familiarity with Argo orchestration frameworks.
• Experience working in large-scale enterprise data environments.
• Exposure to advanced cloud data architecture and modern analytics platforms.
• Experience supporting self-service analytics initiatives and business intelligence programs.

So What About the Perks? Perks matter

• Work From Home. Feel free to rock the casual wear while still being camera ready.  You will be working from your home office (in an approved city & state) and make sure you have a conducive and quiet workspace with no distractions and reliable and secure internet.
• Medical, dental, and vision, oh my! DriveTime Family of Brands covers a sizable amount of insurance premiums to ensure our employees receive top-tier healthcare coverage. 
• But Wait, There’s More. 401(K), Company paid life insurance policy, short and long-term disability coverage to name a few.
• Growth Opportunities. You grow, I grow, we all grow!  But seriously, DriveTime Family of Brands is committed to providing its employees with every opportunity to grow professionally with roughly over 1,000 employees promoted year over year.
• Tuition Reimbursement. We’re as passionate about your professional development as you are. With that, we’ll put our money where our mouth is.
• Wellness Program. Health is wealth! This program includes self-guided coaching and journeys, cash incentives and discounts on your medical premiums through engaging in fun activities!
• Gratitude is Green.  We offer competitive pay across the organization, because, well… money matters!

• Paid Time Off.Not just lip service: we work hard, to play hard!  Paid time off includes (for all full-time roles) wellness days, holidays, and good ole' fashioned YOU time!  For our Part-timers, don't fear you get some time too...vacation time is available - the more you work, the more you earn!

Anything Else?  Absolutely.

Buckle up for plenty of opportunities to grow in a professional, fun, and high-energy environment!