Senior Data Engineer, Data Platforms and Integrations

Global Partners LP; Auburndale (MA); In loco; USD 182.000 - 190.000; Tempo pieno

Vantaggi offerti da questo lavoro

Competitive Pay

Health & Wellness

401k with match

Tuition reimbursement

Professional development

Descrizione del lavoro

Global Partners LP is seeking a Data Engineer to architect and operate our production data ingestion, integration, analytics, and platform solutions. You will design scalable pipelines in AWS using Dagster and develop analytics models in Snowflake and dbt, deploying containerized services via ECS/Fargate.

You will establish CI/CD workflows with GitHub Actions, manage secure configurations, and implement data governance across environments.

Competenze

• Master's degree in Computer Science or related field with five years of relevant experience.
• Five years designing and supporting integration solutions and data-intensive Python applications.
• Experience with REST APIs and Python frameworks such as FastAPI.
• Experience with SQL and NoSQL databases.
• Four years building cloud-native data solutions on AWS/Azure; Docker and Kubernetes.

Mansioni

• Architect, build, and operate production data ingestion, integration, analytics, and data-platform solutions.
• Design scalable pipelines in AWS using Dagster; develop analytics models in Snowflake and dbt.
• Establish CI/CD workflows with GitHub Actions and secure configurations in AWS Secrets Manager.
• Build data applications using Fivetran, Python, FastAPI, and Streamlit; enforce data governance.

Conoscenze

Python

REST API

FastAPI

SQL/NoSQL

AWS

Azure

Docker

Kubernetes

Dagster

dbt

Snowflake

Fivetran

GitHub Actions

Terraform

CloudFormation

CI/CD

Formazione

Master's degree in Computer Science/Information Technology or related field

Strumenti

Docker

Kubernetes

AWS

Azure

Snowflake

dbt

Dagster

Fivetran

GitHub Actions

Terraform

CloudFormation

Prometheus

Grafana

Descrizione del lavoro

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.

Your Role, Your Impact

Responsibilities: Architect, build, and operate the Company's production data ingestion, integration, analytics, and data-platform solutions. Design and orchestrate scalable pipelines in AWS using Dagster, develop tested analytics models and transformation processes in Snowflake and dbt, and deploy containerized platform services on AWS ECS/Fargate using Docker and CloudFormation. Establish CI/CD workflows through GitHub Actions, manage secure configurations and credentials through AWS Secrets Manager, and implement monitoring, alerting, observability, data-quality controls, and privacy safeguards across development, test, and production environments. Build and support source-ingestion, API, reverse-ETL, and backend data applications using tools such as Fivetran, Python, FastAPI, and Streamlit. Develop master data management solutions, governed single sources of truth, and automated data-governance guardrails for key business entities. Apply AI-assisted development tools, contribute reusable AI development capabilities, and build MCP servers and other scalable data products using modern product-development and agile practices. Partner with terminal, wholesale, retail, supply, and trading teams; provide technical leadership and mentorship; maintain architecture documentation and operational runbooks; and champion automation-first engineering standards.

Qualifications

Requirements: Master's degree in Computer Science, Information Technology or a related field and five years of experience as a Data Engineer, Software Developer, Systems Analyst/Architect or related role. Experience must include five years each of the following: designing, developing, and supporting integration solutions; programming in Python on data-intensive applications; working with REST API protocols and Python API frameworks such as FastAPI; and working with SQL and NoSQL databases. Experience must include four years each of the following: building cloud-native data solutions on AWS/Azure; and working with Docker and Kubernetes. Experience must include two years each of the following: building data pipelines with ETL/ELT tools Fivetran, Dagster, dbt and Snowflake; implementing CI/CD using GitHub Actions; authoring infrastructure-as-code using AWS CloudFormation/Terraform; implementing observability and monitoring for data pipelines using tools such as Prometheus, Grafana, or Metaplane; and building and maintaining data pipelines that comply with data privacy and security regulations such as HIPAA/GDPR. Experience may be gained concurrently.

Pay Range

$182,300.00 - $190,000.00

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. 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.

Global Partners LP is an equal opportunity employer. We foster a company culture where ideas from all people help us grow, move and thrive. We embrace the diversity of all applicants and do not discriminate against race, color, religion, sex, age, national origin, sexual orientation, gender identity, disability, protected veteran status or any other basis prohibited by federal, state or local law. If you have a disability and need an accommodation to apply, please contact our recruiting department at 781-747-9675 or 781-7GP-WORK.

Disclaimer. At Global Partners, we don't use lie detector tests for any employment decisions. We follow all the rules and regulations, so we need to let you know. In Massachusetts, it's illegal to require or administer a lie detector test as a condition of employment of continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.