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Senior Data Engineer, Data Platforms and Integrations

Pay
$182,300–190,000/yearAnnual period assumed. Location-specific pay — pay source
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.
Read the full posting
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full posting
  • Design and orchestrate scalable AWS pipelines using Dagster

  • Develop tested analytics models and transformations in Snowflake and dbt

  • Build source-ingestion, API, and reverse-ETL data applications

  • Establish CI/CD workflows through GitHub Actions

  • Develop master data management and automated data-governance guardrails

From the employer’s posting
Design and orchestrate scalable pipelines in AWS using Dagster
develop tested analytics models and transformation processes in Snowflake and dbt
Build and support source-ingestion, API, reverse-ETL, and backend data applications
Establish CI/CD workflows through GitHub Actions
Develop master data management solutions, governed single sources of truth, and automated data-governance guardrails for key business entities
Education & alternatives
Additional Job Description: 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:
Apply at Global Partners LP

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 2, 20262 days ago
Recorded sightings
3
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

$127K–$190K is typical

The middle half of what similar US postings state. This one doesn’t list pay.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 2

Early. Similar jobs usually come down between day 6 and day 54.

From 10,845 similar postings that came down. Coming down is not always a hire.

Global Partners LP is hiring

3 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Takes jobs down at a usual pace
Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • dbt
  • Docker
  • Fivetran
  • Grafana
  • Kubernetes
  • NoSQL
  • Snowflake
  • Terraform
  • Dagster
  • FastAPI
  • Streamlit
Where the posting names them
Job Description: 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. Additional Job Description:
Additional Job Description: 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:

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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗


Job Summary:

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. 

Job Description:

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.

Additional Job Description:

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

  • Coins! We offer competitive salaries and opportunities for growth. 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.

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.  

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.

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Pay
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.
Location & working pattern

Newton Office

Working pattern and location restrictions need checking in the full posting.

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