Data Engineer, Integrations

Global Partners LP•Waltham, MA

About The Position

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 how we work to fuel that long term 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.

Requirements

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

Responsibilities

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.