Senior Data Engineer, Data Platforms

The Senior Data Engineer, Data Platforms is a pivotal role on our Data Team - with broad responsibility. You're not just managing data; you're pioneering the very platforms that underpin our data and analytics engineering pursuits across the company's extensive landscape. You will own state-of-the-art big data platforms that power the Global Partners data stack -- with your work standing as the backbone supporting all data-centric innovations.

You are fluent with platforms like AWS, Snowflake, Dagster, and dbt at your fingertips, and deploying via tools such as Kubernetes, Docker, and Terraform being second nature, you are primed to spearhead our pursuit of data excellence. Your vast experience, extending from data storage best practices to continuously assessing and integrating new technologies, ensures that Global Partners stays ahead of the curve. You are a problem solver and an automation enthusiast who will be responsible for deploying robust solution for data engineering and data platform management.

At the heart of it all, you're not just an engineer; you see the art in orchestrating 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 Partners offers a collaborative team and an environment where we actively invest to create a culture of data driven excellence.

For over 90 years Global Partners LP has been delivering the energy our communities need to grow, move, and thrive. From Alltown Fresh, with its innovative chef-led creations and guest-focused retail experience, to our vast network of over 50 liquid energy terminals across the eastern seaboard and beyond, Global Partner's integrated network of businesses delivers value day-in and day-out to our guests and customers across the US. At Global Partners we embrace the future, investing in the energy transition with initiatives like GlobalGLO and supporting the communities in which we operate with our charitable work.

We're excited for the next 90 years at Global Partners and what innovative new ideas we can bring to our guests and customers in the future. We're looking for passionate people with great ideas to contribute to our company's future. If you're motivated by what's next, Global Partners can provide you the opportunities to push your career to the next level.

The Types of "Energy" You Bring

• Excellent written and verbal communication skills.

• You are self-motivated and like to take initiative.

• You are a team player with a positive attitude.

• You have strong time management skills.

"Gauges" of Responsibility

• Architect and implement scalable, cloud-native data platforms that serve as the foundation for all data engineering initiatives across the organization, utilizing technologies such as AWS, GCP, or Azure, Python, Docker, Kubernetes

• Automate deployment (CI/CD) pipelines for data infrastructure and applications, leveraging tools like Jenkins, GitLab CI, GitHub Actions to ensure rapid, reliable deployments.

• Implement Infrastructure as Code (IaC) practices using tools such as Terraform or CloudFormation to manage and version control cloud resources.

• Develop and maintain robust data orchestration workflows using modern tools like Apache Airflow, Dagster, or Prefect, ensuring efficient data processing and transformation.

• Develop automated solutions and self-service platforms to enable efficient onboarding of developers to efficiently set up, configure, and monitor their data environments.

• Optimize data storage and processing systems, including data lakes and data warehouses (e.g., Snowflake, BigQuery, Redshift), to ensure cost-effectiveness and performance at scale.

• Implement observability and monitoring solutions for data pipelines and infrastructure using tools like Prometheus, Grafana, or DataDog to ensure system reliability and performance.

• Lead the adoption of DataOps practices, fostering collaboration between data engineering, data science, and operations teams to streamline the entire data lifecycle.

"Fuel" for You

• Coins We offer competitive salaries and opportunities for growth. We mean it We have an amazing Talent Development Team who create trainings for growth and job development.

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

• The Road Ahead – We offer 401k and a match component

• Professional Development - We provide tuition reimbursement; this benefit is offered after 6 months of service.

• Give Back We believe in community support. We know everyone gives in their own way, that's why we offer paid volunteer time-off to you to help an organization of your choice.

The GPS of our Interview Process

• First thing first, if you're interested in the role, please apply.

• A talent acquisition team member will review your resume in partnership with the hiring manager. If your experience would lend to this opportunity a recruiter will contact you.

• We conduct in-person and virtual interviews.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or a related field, or equivalent experience in Data Engineering, DataOps, MLOps, Software Engineering with a minimum of 5 years' experience or 7 years' experience, in lieu of an applicable degree.

• Strong proficiency in designing and implementing scalable, cloud-native (containerized) data platforms using Infrastructure as Code (e.g., Terraform, Docker, Kubernetes).

• Advanced programming skills in Python focusing on data-intensive applications. Strong SQL proficiency and experience with cloud data warehouses (e.g., Snowflake, BigQuery) required

• Proven track record in designing and implementing CI/CD pipelines for data infrastructure and applications, using tools like Jenkins, GitLab CI, or GitHub Actions

• In-depth knowledge of big data technologies (e.g., Apache Spark, Kafka) and data orchestration tools (e.g., Apache Airflow, Dagster). Experience with data transformation frameworks like dbt and ETL/ELT processes in cloud environments

• Strong background in data security, governance, and metadata management. Experience implementing IAM/RBAC policies, encryption, and data access controls in cloud environments.

• Proficiency in implementing monitoring, logging, and alerting solutions for data infrastructure (e.g., Prometheus, Grafana, ELK stack). Familiarity with serverless architectures is a plus.

• Ability to design and develop automated tools and self-service platforms enabling efficient data environment setup and management for data scientists and analyst.

• Experience in optimizing data storage and processing systems for cost-effectiveness and performance at scale. Familiarity with MLOps and integrating ML models into production.

• Exceptional team player with strong communication skills, ability to work with cross-functional teams, and a willingness to mentor and share knowledge.

• Proficiency in modern Agile development methodologies, coupled with excellent problem-solving abilities and a metrics-first mindset.

We value passion and potential. If you are enthusiastic about a position and think you can make a meaningful impact, we encourage you to apply even if you don't check every box. We embrace different perspectives, backgrounds and experiences.

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 781-891-4000.

*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.