Data Engineer III

Love's Travel Stops & Country Stores Inc.; Houston (TX); On-site; USD 110,000 - 150,000; Full time

Benefits offered by this job

Tuition assistance (company funded)

Paid Time Off

401(k) – 100% Match up to 5%

Medical/Dental/Vision Insurance after

Competitive Pay

Career Development

Job summary

Love's Travel Stops & Country Stores Inc. is seeking a Data Engineer III to design, build, and optimize scalable data pipelines across datawarehouse, datalake, and datahub environments in the Houston office.

The role partners with technology and business stakeholders to operationalize data solutions, promotes reusable design standards, and leverages automation and AI-powered development tools to enhance delivery speed and quality.

Qualifications

• Five or more years of progressively responsible experience in data engineering, data integration, data warehousing, or a related technical discipline.

Responsibilities

• Design, build, maintain, and optimize data pipelines supporting data acquisition, ingestion, transformation, staging, modeling, and delivery.
• Develop scalable 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.
• Lead data assessment, mapping, migration, validation, enrichment, and loading activities.
• Design reusable data models and solution architectures using established data engineering and modeling practices.
• Provide architectural and technical input to ensure solutions align with enterprise data strategies, standards, and long-term platform objectives.
• Build and support data solutions across datawarehouse, datalake, datahub, and related data management environments.
• Integrate large, complex, and heterogeneous datasets from internal and external sources.
• Design solutions that are reliable, secure, scalable, maintainable, and focused 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 complex data quality, integration, performance, and production support issues.
• Participate in front-end and back-end development activities when needed to deliver integrated, end-to-end data solutions.
• Assess how architecture decisions affect solution design, development, testing, deployment, and 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 accelerate delivery, reduce defects, improve documentation, strengthen automation, and increase consistency throughout theDataOpslifecycle.
• Research and recommend tools, technologies, and practices that improve data engineering capabilities and team productivity.
• Provide technical guidance, knowledge sharing, and support to other team members.
• Perform other job-related duties as assigned.

Skills

Data engineering

Data warehousing

SQL proficiency

ETL/ELT

Data modeling

Git

DevOps

CDC

Kafka

APIs

Education

Bachelor's degree in Computer Science, MIS, IT, or related field

High school diploma or equivalent

Tools

Snowflake

dbt

Azure Service Bus

Apache NiFi

Apache Kafka

HVR

Power BI

Tableau

SQL Server

SAP HANA

Job description

This position is based in Houston, Texas office; candidates in Houston and the surrounding area arerequired.

Benefits

• Fuel Your Growth with Love's - company funded tuition assistance
• Paid Time Off
• 401(k) – 100% Match up to 5%
• Medical/Dental/Vision Insurance after30 days
• Competitive Pay
• Career Development

Welcome to Love's!

The Data Engineer III designs, builds, and supports scalable data solutions that advance Love’s enterprise data and analytics capabilities. This role develops and optimizes data pipelines, data models, and integration frameworks that transform data into reliable, accessible, and actionable information.

The Data Engineer III partners with Technology teams, business stakeholders, data scientists, data analysts, vendors, and other data consumers to operationalize data and analytics solutions. The position also provides technical guidance on data architecture, promotes reusable design standards, and uses automation and AI-powered development tools to improve delivery speed, quality, and consistency.

MAJOR RESPONSIBILITIES

• Design, build, maintain, and optimizedata pipelines supporting data acquisition, ingestion, transformation, staging, modeling, and delivery.
• Develop scalable 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.
• Lead data assessment, mapping, migration, validation, enrichment, and loading activities.
• Design reusable data models and solution architectures using established data engineering and modeling practices.
• Provide architectural and technical input to ensure solutions align with enterprise data strategies, standards, and long-term platformobjectives.
• Build and support data solutions across datawarehouse, datalake, datahub, and related data management environments.
• Integrate large, complex, and heterogeneous datasets from internal and external sources.
• Design solutions that are reliable, secure, scalable, maintainable, and focused on automation and operational efficiency.
• Develop andmaintaincomplex SQL queries, procedures, transformations, and data validation processes.
• ApplyDataOpsand DevOps practices, including version control, automated builds, testing, deployment, monitoring, and release management.
• Troubleshoot complex data quality, integration, performance, and production support issues.
• Participate in front-end and back-end development activities when needed to deliver integrated, end-to-end data solutions.
• Assess how architecture decisions affect solution 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 accelerate delivery, reduce defects, improve documentation, strengthen automation, and increase consistency throughout theDataOpslifecycle.
• Research and recommend tools, technologies, and practices that improve data engineering capabilities and team productivity.
• Provide technical guidance, knowledge sharing, and support to other team members.
• Perform other job-related duties as assigned.

EXPERIENCE

• Five or more years of progressively responsible experience in data engineering, data integration, data warehousing, or a related technical disciplinerequired.
• Experience designing, building, and supporting enterprise-level data pipelines and integration solutionsrequired.
• Experience working with large, complex, and heterogeneous datasetsrequired.
• Experience supporting datawarehouse, datalake, datahub, or similar data management architecturesrequired.
• Experience working in cloud-based data platforms and modern data engineering environmentsrequired.

HARD SKILLS

• Advanced knowledge of data engineering, data integration, and data warehousing principles.
• Strong experience with cloud data warehouse platforms, preferably Snowflake.
• Strong experience developing andoptimizingcomplex SQL.
• Strong experience with ETL and ELT tools and methodologies.
• Strong experience with data modeling and reusable solution architecture practices.
• Strong experience with Git or similar version-control tools.
• Strong understanding of automated build, testing, deployment, and release-management practices.
• Experience with data replication and change data capture tools, such asFivetranor HVR.
• Experience with messaging and data movement technologies, such as Azure Service Bus, ApacheNiFi, 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.
• Experience withdbtstrongly preferred.
• Experience with Python or R preferred.
• Experience with Microsoft SQL Server preferred.
• Experience with SAP HANA preferred.
• Experience with Tableau or Power BI preferred.
• Experience using AI-powered development and productivity tools preferred.

SOFT SKILLS

• Ability to think strategically while managing detailed technical requirements.
• Ability to work effectively through ambiguity and changing priorities.
• Strong analytical, problem-solving, and troubleshooting skills.
• Ability to manage multiple competing priorities in a fast-paced environment.
• Strong collaboration andrelationship-managementskills.
• Ability to communicate technical information clearly to technical and nontechnical audiences.
• Strong written and verbal communication skills.
• Sound judgment andan appropriate senseof urgency.
• Ability to build trust and work effectivelywithinanenergy tradingarm of the company. This is a fast-moving, high-pressure environment.
• Ability to think on their feet and respond quickly to shifting priorities and time-sensitive data needs.
• Commitment to ethical conduct, regulatory compliance, customer service, data stewardship, and business integrity.
• Demonstrated creativity, accountability, initiative, and attention to detail.

Education

• High school diploma or equivalent required.
• Bachelor’s degree in Computer Science, Management Information Systems, Information Technology, Business, or related field preferred.

WORK ENVIRONMENT

• This position is based in Houston, Texas office; candidates in Houston and the surrounding area arerequired.
• This is a fully on-site role requiring in-officepresencein the Houston office five days per week; it is not a remote or hybrid position.
• The role reports to a manager based in the Oklahoma City corporate office.
• Prolonged sitting, some bending and stooping
• Eye strain (screen use)
• Manual dexterity sufficient tooperatea computer keyboard and calculator
• Occasional lifting of up to 25 pounds
• Requires normal range of hearing and vision
• Additionalhours may be necessary.

Note:The items identified above are representative of those commonly associated with this position but are not exhaustive. Employees mayencounteradditionalor unforeseen responsibilities in the course of their duties.

**This job description should not be construed to imply that these requirements are the exclusive standards of the position. All employees maybe requiredto follow any other instructions, cross train in other positions and to perform other duties as required byworkloads.**

Our Culture:

Fueling customers' journeys since 1964, innovation leads the way for this family-owned and operated business headquartered in Oklahoma City. With nearly 40,000 team members, travel stops are the core business along with products and services that provide value 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.

Love's is an Equal Opportunity Employer. Veterans encouraged to apply.