MDM DATA ENGINEER (REMOTE)

Compass Digital; Georgia (VT); Remote; USD 120,000 - 140,000; Full time

Job summary

Compass Digital is looking for a collaborative MDM Data Engineer to design and implement robust data architectures using AWS. This role involves optimizing data pipelines and APIs, ensuring data quality, and collaborating with cross-functional teams to enhance business intelligence and analytics.

Benefits

Medical

Dental

Vision

Life Insurance/ AD

Paid Time Off

Qualifications

• 5+ years of experience in data engineering roles.
• 3+ years programming experience in Python.
• Strong SQL skills and experience with AWS services.

Responsibilities

• Design and deploy scalable data pipelines on AWS.
• Build and maintain ETL workflows using AWS Glue and Python.
• Collaborate across teams for data model design.

Skills

Python

SQL

AWS services

Data governance

Data architecture

Education

Bachelor’s degree in computer science, Information Systems, Analytics

Tools

AWS Glue

AWS Lambda

Snowflake

PostgreSQL

DynamoDB

Job description

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Compass Digital

Salary: $120,000 - $140,000 (commensurate with experience)

Who We Are

We are Compass Digital—the digital and technology arm of Compass Group North America. We build and scale digital products and technologies to exceed the expectations of our guests and clients. Backed by research, we create remarkable user experiences with increased choice and convenience. We offer end-to-end solutions, simultaneously boosting sales and guest satisfaction.

Compass Digital was developed from within Compass Group, focusing on driving transformation and innovation in the hospitality spaces across Business & Industry, Education, and Healthcare. We power digital in the hospitality experience, ensuring that each touchpoint is optimized for guest satisfaction while leveraging data to achieve additional outcomes.

We firmly believe in the power of imagination, constantly asking ourselves, “What If?” We are fully integrated into Compass Group, proudly serving its’ various clients through scalable, cutting-edge technologies and solutions.

Compass Group is the leading foodservice management and support services company, with $26 billion in revenue in 2023. In 2023, Compass Group was named one of Forbes’ America’s Best Large Employers along Springbuk’s Healthiest 100 Workplaces in America (since 2019).

Job Summary

We are seeking a hands-on, collaborative Master Data Management (MDM) Data Engineer to join our data platform team. This role involves designing and implementing scalable, cloud-native data architectures and solutions across AWS. You’ll work closely with data engineers, developers, and business stakeholders to manage data pipelines from ingestion to modeling, while also building APIs to support analytics, reporting, and business intelligence.

Our technology stack centers around Python and AWS, leveraging services such as S3, PostgreSQL, DynamoDB, Athena, Snowflake, Redshift, Lambda, and Glue. Familiarity with modern data stack technologies, DevOps, and data security best practices is a strong advantage.

Key Responsibilities:

• Design, develop, and deploy scalable and secure data pipelines and cloud-native architectures (data lakes, warehouses, and streaming pipelines) on AWS.
• Build and maintain ETL/ELT workflows using AWS Glue, Lambda, and Python to support a variety of data integration needs.
• Develop, deploy, and optimize APIs to enable seamless data access for business intelligence, analytics, and operational systems.
• Analyze, debug, and resolve data quality issues and pipeline failures to ensure data accuracy and reliability.
• Collaborate across teams—including data science, analytics, and software engineering—to design and implement reusable data models.
• Ensure efficient, scalable, and secure serverless operations through performance tuning and best practices in AWS environments.
• Create and maintain documentation, architecture diagrams, and data flow maps for internal and external use.
• Implement and manage data governance, security protocols, compliance standards, and privacy best practices.
• Incorporate AI tools, such as ChatGPT, to streamline engineering tasks, documentation, and data exploration.
• Lead integration efforts with third-party APIs and data sources to expand the organization’s data capabilities.
• Establish and enforce architectural best practices, CI/CD pipelines, and Infrastructure as Code (IaC) in collaboration with DevOps teams.
• Mentor team members, stay current with AWS innovations, and champion modern data practices across the organization.
  
  

Qualifications:

• Bachelor’s degree in computer science, Information Systems, Analytics, or related field.
• 5+ years of experience in data architecture, engineering, or similar roles.
• 3+ years of hands-on programming experience with Python.
• 3+ years of experience building and managing ETL/ELT data pipelines.
• Strong SQL skills and ability to write performant queries across various data stores.
• Proficient with AWS services: Lambda, Glue, S3, DynamoDB, Athena, Redshift, and Snowflake.
• Solid understanding of OLTP, ODS, and dimensional modeling techniques.
• Experience designing APIs and integrating with API-driven data workflows.
• Strong knowledge of serverless architecture patterns and best practices.
• Excellent problem-solving, analytical, and communication skills.
• Experience in agile development environments with CI/CD workflows.
• Ability to collaborate across engineering, data, and business teams.
  
  

Preferred Skills:

• AWS Certifications (e.g., AWS Solutions Architect).
• Experience with modern data stack tools such as dbt, Snowflake, Databricks.
• Familiarity with machine learning pipelines and AI-driven analytics.
• Experience with Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation.
• Background in DevOps and automated deployment strategies for data workflows.
• Experience integrating with ServiceNow application.
  
  

Apply to Compass Group today!

Click here to Learn More about the Compass Story

Compass Group is an equal opportunity employer. At Compass, we are committed to treating all Applicants and Associates fairly based on their abilities, achievements, and experience without regard to race, national origin, sex, age, disability, veteran status, sexual orientation, gender identity, or any other classification protected by law.

Qualified candidates must be able to perform the essential functions of this position satisfactorily with or without a reasonable accommodation. Disclaimer: this job post is not necessarily an exhaustive list of all essential responsibilities, skills, tasks, or requirements associated with this position. While this is intended to be an accurate reflection of the position posted, the Company reserves the right to modify or change the essential functions of the job based on business necessity. We will consider for employment all qualified applicants, including those with a criminal history (including relevant driving history), in a manner consistent with all applicable federal, state, and local laws, including the City of Los Angeles’ Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, and the New York Fair Chance Act.

Compass Digital maintains a drug-free workplace.

Applications are accepted on an ongoing basis.

Associates At Corporate Are Offered Many Fantastic Benefits.

• Medical
• Dental
• Vision
• Life Insurance/ AD
• Disability Insurance
• Retirement Plan
• Paid Time Off
• Holiday Time Off (varies by site/state)
• Associate Shopping Program
• Health and Wellness Programs
• Discount Marketplace
• Identity Theft Protection
• Pet Insurance
• Commuter Benefits
• Employee Assistance Program
• Flexible Spending Accounts (FSAs)
• Paid Parental Leave
• Personal Leave
  
  

Associates may also be eligible for paid and/or unpaid time off benefits in accordance with applicable federal, state, and local laws. For positions in Washington State, Maryland, or to be performed Remotely, click here for paid time off benefits information.

Req ID: 1423166

Compass Digital

MARY DICKSON

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Information Technology

• Industries

  IT Services and IT Consulting

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