Discount Tire · 19 hours ago
Senior Data Engineer - Omni Channel
Scottsdale, AZ
Full-time
Hybrid
Senior Level
5+ years expDiscount Tire is a company that has been growing for over 60 years and is currently transforming its technological landscape to make data a central component of its strategy. The Senior Data Engineer will design, build, and operate scalable data solutions on the Databricks-based lakehouse platform, supporting enterprise analytics, business intelligence, and data science initiatives.
AutomotiveLogisticsRetail
Responsibilities
Designs, develops, and maintains Databricks-based lakehouse solutions leveraging medallion architecture (Bronze, Silver, Gold) and Delta Lake
Builds scalable, high-performance analytical data models to support reporting, analytics, and downstream consumption
Ensures data solutions align with enterprise standards for security, governance, scalability, and cost efficiency
Develops, tests, and maintains batch and streaming ELT pipelines using Spark SQL
Implements incremental data processing, dependency management, and idempotent pipeline patterns across multiple data sources
Integrates structured and semi-structured data from transactional, digital, and third-party systems into the lakehouse
Develops and maintains Databricks notebooks, workflows, and jobs across development, QA, and production environments
Leverages Delta Lake features including ACID transactions, schema enforcement and evolution, and time travel
Partners with platform and DevOps teams to support environment promotion, scheduling, and deployment automation
Implements automated data quality checks, validation frameworks, and monitoring to ensure accuracy, completeness, and timeliness of data
Proactively identifies and resolves data issues, ensuring reliable data availability for business partners
Troubleshoots data pipeline and query performance issues and implements optimizations related to Spark execution, partitioning, file sizing, and data layout
Documents root cause analysis and corrective actions and provide recommendations to improve system performance and reliability
Owns data pipelines end-to-end in production, including monitoring, alerting, incident response, and operational support
Contributes to runbooks, operational documentation, and continuous improvement of production readiness practices
Writes clean, maintainable, and well-tested code using Python (PySpark) and SQL
Contributes to data engineering standards, reusable frameworks, and best practices across the Analytics Engineering team
Produces clear technical documentation, including design specifications and data flow diagrams
Participates in design reviews and code reviews, providing constructive feedback to ensure quality and consistency
Collaborates closely with data engineers, analytics engineers, data scientists, digital analysts, and business stakeholders to translate business needs into scalable data solutions
Works cross-functionally with project managers, platform teams, and external partners to deliver high-impact analytics capabilities
Mentors and supports less experienced data engineers through technical guidance and best-practice sharing
Leads technical design discussions for complex datasets and influences architectural decisions within the team
Stays current with emerging data engineering technologies, trends, and industry best practices
Identifies opportunities to improve efficiency, reliability, and scalability across data engineering workflows
Performs other duties as assigned
Qualification
Required
5+ years of experience in data engineering, data integration, or analytics engineering roles
Experience with cloud-based analytics platforms and modern data architecture
Advanced experience with SQL and Spark (PySpark and Spark SQL) in large-scale data environments
Strong experience designing and maintaining ELT pipelines in a cloud-based lakehouse architecture
Deep understanding of data modeling for analytics, including star schemas and slowly changing dimensions
Strong knowledge of data governance, security, and compliance best practices
Extensive experience with Databricks and Delta Lake for analytics and data engineering workloads
Experience with cloud object storage platforms such as AWS S3
Familiarity with orchestration, scheduling, and monitoring of data pipelines
Experience working with large, complex datasets in analytics and reporting contexts
Familiarity with BI and visualization tools such as Tableau, Looker, or Power BI
Experience working within SDLC methodologies such as Agile and Waterfall
Familiarity with CI/CD and version control practices for data engineering workflows
Ability to clearly communicate complex technical concepts to technical and non-technical audiences, including leadership
Strong written and verbal communication skills, including documentation and presentation of technical solutions
Demonstrated ability to work collaboratively across teams and with business stakeholders
Strong customer service mindset with a focus on delivering reliable and high-quality data solutions
Strong troubleshooting and analytical skills with a proactive, solution-oriented approach
Ability to work effectively in a fast-paced, evolving environment and manage multiple priorities
Intellectual curiosity and passion for data, analytics, and continuous learning
Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field, or equivalent practical experience
Preferred
Experience with streaming or near-real-time data processing
Experience with digital analytics data (e.g., Adobe Analytics or Google Analytics)
Data or cloud-related certifications
Company
Discount Tire
Our boards are a place to gather ideas, share tips, and enjoy the beauty of the automotive world. Your Journey Starts Here.
10001+ employees
H1B Sponsorship
Discount Tire has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (1)
Funding
Current Stage
Late StageLeadership Team
Andrew Haus
Chief Financial Officer
Tom Williams
Executive Vice President & Chief Experience Officer (CXO) Customer Experience
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