Data Engineer II

What you’ll do

• 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 data requirements.
• Perform data assessment, mapping, migration, validation, enrichment, and loading activities.
• Create reusable data models and solution components using established data engineering and modeling practices.
• Build and support 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.
• Develop solutions that are reliable, secure, scalable, maintainable, with an emphasis on automation and operational efficiency.
• Develop and maintain complex SQL queries, procedures, transformations, and data-validation processes.
• Apply DataOps and DevOps practices, including version control, automated builds, testing, deployment, monitoring, and release management.
• Troubleshoot data quality, integration, performance, and production-support issues, escalating highly complex matters when appropriate.
• Contribute to front-end and back-end development when needed to deliver end-to-end data solutions.
• 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.

What you’ll bring

• Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, Business, or a related field (typically required).
• Two or more years of related 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.
• 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, implementation, and ongoing support.
• dbt experience is strongly preferred.
• Preferred: Python or R, Microsoft SQL Server, SAP HANA, Tableau, Power BI, and AI-powered development tools.
• Ability to analyze and resolve issues of moderate scope using established procedures, sound judgment, and appropriate escalation.
• Ability to manage changing priorities, collaborate effectively, and communicate technical information to technical and nontechnical audiences.
• Strong written and verbal communication, analytical skills, problem-solving, troubleshooting, accountability, initiative, and attention to detail.
• Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity.

Benefits at Love’s Travel Stops

• Fuel Your Growth with Love's - 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

Additional job details

• 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

Fueled by the mission to fueling customers’ journeys since 1964, Love’s is an inclusive workplace where giving back to communities is a hallmark of its award-winning culture. As a family-owned and operated company headquartered in Oklahoma City, Love’s combines innovation with values that support team members and the communities they serve.