Motion Recruitment | Jobspring | Workbridge

Senior Data Engineer

Scottsdale, Arizona

Onsite

Full Time

$120k - $145k

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.

Posted by: Carter Smith

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