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SENIOR DATA ENGINEER-REMOTE

SENIOR DATA ENGINEER-REMOTE

Compass Group, North AmericaUnited States
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E15 Group

​Salary : $130,000-$140,000 (commensurate with experience)

At E15, we are the spark that ignites. Our team delivers next-generation insights based on data, not hunches, to drive business in healthcare, campus, corporate, sports, entertainment, hospitality, and retail industries to help companies make forward-looking decisions to benefit their business and their guests. For more information on what we are about as a company, check us out by following the link below : www.e15group.com

Job Summary

We are looking for a hands-on, collaborative Senior Data Engineer with experience working with clients to join the E15 Program. In this role, you will have the chance to build pipelines that will deliver data solutions primarily to Levy, our restaurants and stadium sector. You will help bring best practices to the team while working with a collaborative group of data stewards.

As a Senior Data Engineer, you will complete POCs, manage your time without oversight to complete tasks, and be a vocal contributor to team decisions. We are using a tech stack of primarily Snowflake and dbt, with other AWS services as needed. This role will also involve completing the scoping&discovery of the requirements of the business, identifying dependencies, and communicating those to all parties.

If you have a git repository, we would be excited to see it!

Core Responsibilities

Lead the design, development, and deployment of scalable, resilient data pipelines using Snowflake, dbt, AWS, Fivetran, and other engineering tools.

Own and deliver technically complex, cross-functional data projects aligned with quarterly goals, navigating ambiguity with autonomy.

Collaborate with reporting, analytics, and data science teams to understand business needs, data sources, and define requirements.

Shape and influence architectural decisions, contribute to roadmap development, and champion best practices for ETL and engineering excellence.

Gather, enrich, and transform data to drive actionable insights, ensuring infrastructure changes are well-documented and pipelines are robust and performant.

Drive high standards for data and software quality through code reviews, documentation, and implementation of scalable, reusable solutions.

Mentor junior engineers and apprentices, providing technical guidance, modeling craft, and fostering a culture of growth and inclusion.

Proactively identify gaps in the data platform, recommend technical solutions, and advocate for improvements that enhance long-term sustainability.

Support testing efforts by defining and validating criteria aligned with business expectations, ensuring future-proofed deliverables.

Facilitate business alignment by clearly communicating the value and design of data solutions, incorporating user feedback to iterate.

Collaborate with third-party vendors and cross-functional stakeholders to scope requirements and deliver value across teams.

Take ownership of operational issues, proactively respond to incidents, and build safeguards that improve system resilience.

Act as a strategic partner—breaking down complex projects into executable phases, setting realistic goals, and delivering customer impact.

Participate in interviews and team-building efforts, helping to hire and level up a diverse, high-performing engineering team.

Maintain awareness of Compass Group’s organizational structure and priorities, aligning data solutions to broader business goals.

Required Skills

Bachelor’s degree in Computer Science, Information Systems, Analytics, or related field

3 – 5 years of experience in ETL or Data Engineering role, building and implementing data pipelines

AWS Data Engineering Certification, AWS Solution Architect Associate Certification, Snowpro Certification or similar

Solid understanding of data structures and data warehouses

Strong skills with SQL with the ability to write efficient queries

Previous experience working in a highly collaborative environment

Highly self-motivated and directed with an attention to detail

Experience designing pipelines with event driven architecture

Experience working in AWS

Experience working with Snowflake and dbt

Experience managing tickets in Azure DevOps or similar

Experience in Agile software development

Strong communication skills with the business&technical teams

Preferred Skills :

Experience in DevOps and CI / CD technologies and methodologies

AWS Security best practices

Hospitality knowledge / experience a plus

Apply to E15 today!

E15 is a member of Compass Group USA

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. 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.

Associates at E15 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 : 1456004

E15 Group

MARY DICKSON

[[req_classification]]

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