Senior Data Engineer

A leading national automotive finance and warranty services provider headquartered in Scottsdale, Arizona is seeking a highly skilled Senior Data Engineer to join our growing Data Engineering team.
We’re looking for a hands-on technical expert with a passion for architecting scalable data solutions that support enterprise-wide reporting, compliance, and analytics. Qualifications:

• Hold a bachelor’s degree in Computer Science, Information Systems, or a related field.
• Bring 10+ years of experience in data engineering or closely related roles.
• Extensive experience building and maintaining ETL/ELT pipelines for both batch and streaming data.
• Advanced SQL skills (complex joins, window functions, CTEs) and strong proficiency in Python for automation, pipeline development, and data validation.
• Proven success with cloud-based data platforms such as Snowflake, Databricks, and AWS (e.g., S3, Glue, Redshift, Lambda, Secrets Manager).
• Solid knowledge of data warehousing principles, including dimensional modeling, star schemas, slowly changing dimensions, and aggregate strategies.
• Experience working with unstructured and semi-structured data (e.g., JSON, APIs, NoSQL databases).
• Skilled in using workflow orchestration tools like Airflow or Prefect.
• Familiar with data transformation and integration tools like dbt, Talend, or FiveTran.
• Strong understanding of data governance and regulatory compliance frameworks such as PCI-DSS, GDPR, SOX, and CPRA.
• Bonus: Experience with Lakehouse technologies such as Delta Lake, Apache Iceberg, or Hudi.

Daily Duties:

• Design, develop, and maintain scalable data pipelines that support enterprise reporting, regulatory compliance, and analytics.
• Implement data validation frameworks to ensure high accuracy, consistency, and integrity across systems.
• Administer and optimize cloud-native data platforms and services with a focus on performance, security, and cost-efficiency.
• Support both operational and analytical data needs across departments, including Finance, Audit, and Reporting.
• Collaborate with stakeholders to align data architecture with evolving business and compliance requirements.
• Build and maintain data models and structures to enable reliable self-service analytics through tools like Tableau.
• Create and iterate on proof-of-concepts to validate architectural improvements and new technologies.
• Take full ownership of projects from design through delivery, ensuring results are measurable and impactful.
• Document systems, pipelines, and architecture thoroughly to support long-term scalability.
• Proactively identify opportunities to improve data infrastructure and mentor junior engineers.