Data Engineer, Integrations

Participate in the design and build of Application and Data integrations. Plan, execute, and manage integration of new applications with existing systems and software. Provide primary ongoing support for existing applications and data integrations. Translate integration requirements into specific systems, applications, and process designs. Develop and support integration processes and migration plans/schedules. Support technical environments for integration toolsets with upgrades, administration, troubleshooting, performance monitoring, and regression testing. Create and maintain technical documentation, such as Requirements Specifications, Concepts of Operation, Product and Performance Specifications, Interface Control Documents, Compliance Matrices, Qualification Test Plans, Procedures, and Reports. Use SQL to query, analyze, and manipulate data. Design and build efficient and reusable integrations based on requirements and data analysis. Build and test integrations using various tools, including SSIS, SQL, iPaas (Boomi, Mulesoft), Fivetran, MoveIT, and Dagster. Work with peers, clients, and 3rd parties in design, development, and testing. Build an expert level technical understanding of in-scope applications, data and processes.

Must have a Bachelor's degree in Computer Science, Information Technology, or a related field plus at least three (3) years of experience in IT as a Developer, Systems Analyst, Architect, or a related position. Experience must include three (3) years with each of the following: designing, developing and supporting integration solutions, including conducting research into application integration issues and products; programming in Python on data-intensive applications; working with REST API protocols and XML constructs; and SQL, NoSQL, and document DBs. Experience must include two (2) years with each of the following: working with ETL tools; building cloud-native data solutions using AWS/Azure; Docker and Kubernetes; building data application solutions using Fivetran, Airflow, Dagster, and Snowflake; Census; implementing observability and monitoring solutions for data pipelines and infrastructure using Prometheus, Grafana, or DataDog; and building and maintaining data pipelines for compliance with data privacy and security regulations, including HIPAA, GDPR, and CCPA. Experience may be gained concurrently.

$160,500.00 - $240,800.00

The pay range for this position is outlined above. The final amount offered at the start of employment is determined based on factors including, but not limited to, experience level, knowledge, skills, abilities and geographic location, and the Company reserves the right to modify base salary at any time, including for reasons related to individual performance, Company or individual department/team performance and market factors.

Our Commitments to You Competitive Pay - We offer competitive salaries and opportunities for growth within.

Health & Wellness - Medical, Dental, Visions and Life Insurance. Along with additional wellness support.

The Road Ahead - We offer 401k and a match component. We also provide tuition reimbursement; this benefit is offered after 6 months of service.

Professional Development - We value lifelong learning and have many internal development programs and access to other on-demand learning for continued career growth.

These commitments are offered to employees in permanent roles, as part of our support for long-term growth and success

What to Expect From the Hiring Process

We value passion and potential. Please apply if you're qualified and interested-we'd love to hear from you.

A member of our Talent Acquisition team will review your application and may connect you with the hiring manager if your experience is a strong match.

Interviews are conducted virtually and in person, depending on the role. We'll provide more details about next steps if selected to move forward.

The Data Engineer, Integrations is a key contributor on our Data Team-with a focus on building and maintaining the robust data pipelines that underpin our data and analytics initiatives. You're not just managing data; you're supporting the platforms that enable our data-centric innovations across the organization. You will work with modern tools such as AWS, Snowflake, Dagster, and dbt, and utilize technologies like ECS, Docker, and CloudFormation to help maintain and evolve our data stack.Your hands-on experience in developing and monitoring data pipelines, combined with a passion for automation and continuous improvement, ensures that Global GP LLC remains at the forefront of data excellence. As you collaborate with cross-functional teams and adopt best practices, you will be instrumental in shaping our data environment.At the heart of it all, you're not just an engineer; you see the art in orchestrating and engineering data. As you engage with teams, provide strategic guidance, and champion the consistent adoption of best practices, you're also shaping the future of data analytics. If you're ignited by the prospect of being at the helm of technological evolution, where every decision melds strategy with data - Join us. Global GP LLC offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence. At Global Partners, business starts with people. Since 1933, we've believed in taking care of our customers, our guests, our communities, and each other-and that belief continues to guide us. The Global Spirit is the cornerstone of our commitment to success. As a Fortune 500 company with 90+ years of experience, we're proud to fuel communities-responsibly and sustainably. We show up every day with grit, passion, and purpose-anticipating needs, building lasting relationships, and creating shared value.