Data Engineer II

Love’s Travel Stops is hiring a Data Engineer II in Oklahoma City, OK (onsite) to build and support enterprise data and analytics capabilities.

Responsibilities

• Design, build, maintain, and optimize data pipelines for acquisition, ingestion, transformation, staging, modeling, and delivery
• Develop data integration solutions using ETL/ELT, data replication, change data capture, messaging technologies, APIs, and other data movement methods
• Evaluate and qualify source data to support master, reference, and transactional requirements
• Perform data assessment, mapping, migration, validation, enrichment, and loading activities
• Build reusable data models and solution components using established engineering and modeling practices
• Deliver data solutions across data warehouse, data lake, data hub, and related data-management environments
• Integrate large, complex, and heterogeneous datasets from internal and external sources
• Create solutions focused on reliability, security, scalability, maintainability, automation, and operational efficiency
• Develop and maintain complex SQL queries, procedures, transformations, and data-validation processes
• Apply DataOps and DevOps practices: version control, automated builds, testing, deployment, monitoring, and release management
• Troubleshoot data quality, integration, performance, and production-support issues; escalate highly complex matters when appropriate
• Support front-end and back-end development activities when needed to deliver end-to-end data solutions
• Assess how technical decisions impact design, development, testing, implementation, and ongoing support
• Collaborate with business and Technology partners to translate data requirements into effective technical solutions
• Use AI-powered development tools such as GitHub Copilot, Claude Code, or similar technologies to improve delivery speed, quality, documentation, automation, and consistency across the DataOps lifecycle
• Research and recommend tools, technologies, and practices to improve data engineering capabilities and team productivity
• Share knowledge and provide technical support to team members within the scope of assigned work
• Perform other job-related duties as assigned

Requirements

• Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, Business, or a related field (typically required)
• Two or more years of experience in data engineering, data integration, data warehousing, or a related technical discipline (required)
• Experience building and supporting data pipelines, integration solutions, large or varied datasets, cloud-based data platforms, and modern data-management environments (required)
• Working knowledge of data engineering, data integration, data warehousing, and data-management principles
• General proficiency with cloud data warehouse platforms, preferably Snowflake, and with developing and optimizing complex SQL (required)
• Experience with ETL/ELT tools and methodologies, data modeling, reusable solution components, and Git or similar version control tools
• Understanding of automated build, testing, deployment, monitoring, and release-management practices
• Experience with data replication and change data capture tools, such as Fivetran or HVR
• Experience with messaging and data movement technologies, such as Azure Service Bus, Apache NiFi, or Apache Kafka
• Experience with APIs and API-based data acquisition and integration
• Knowledge of data governance, metadata management, data quality, and master-data concepts
• Understanding of solution architecture and its impact on design, development, testing, deployment, and support
• dbt experience strongly preferred
• Experience with Python or R, Microsoft SQL Server, SAP HANA, Tableau, Power BI, and AI-powered development tools preferred
• Ability to analyze and resolve moderate-scope issues using established procedures, sound judgment, and appropriate escalation
• Ability to manage changing priorities, collaborate effectively, and communicate technical information clearly to technical and nontechnical audiences
• Strong written and verbal communication, analytical and problem-solving skills, troubleshooting ability, accountability, initiative, and attention to detail
• Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity

Technologies

• ETL, ELT, SQL, Snowflake, Git
• Fivetran, HVR
• Azure Service Bus, Apache NiFi, Apache Kafka
• APIs, dbt
• Python, R, Microsoft SQL Server, SAP HANA
• Tableau, Power BI
• GitHub Copilot, Claude Code
• DataOps, DevOps

Benefits

• Company funded tuition assistance
• Paid Time Off
• 401(k) with 100% match up to 5%
• Medical/Dental/Vision Insurance after 30 days
• Competitive pay
• Career development

Typical Physical Demands

• Requires prolonged sitting, some bending and stooping
• Frequent computer and screen use, with manual dexterity sufficient to operate a computer keyboard and calculator
• Occasional lifting up to 25 pounds
• Requires normal range of hearing and vision
• Additional hours may be necessary

Our Culture

• Family-owned and operated business headquartered in Oklahoma City, fueling customers’ journeys since 1964
• Nearly 40,000 team members across travel stops and related products and services for professional drivers, fleets, traveling public, RVers, alternative energy, and wholesale fuel customers
• Giving back to communities and an inclusive workplace are hallmarks of the award-winning culture