SENIOR DATA ENGINEER-REMOTE

Compass Group, North America; Las Vegas (NV); Remote; USD 130,000 - 140,000; Full time

Job summary

A data solutions firm is looking for a Senior Data Engineer to design and develop data pipelines using Snowflake and AWS. The role involves collaboration with analytics teams and mentoring junior engineers. Candidates should have a Bachelor’s degree and 3-5 years of ETL experience. Benefits include comprehensive health insurance, retirement plan, and paid time off.

Benefits

Medical insurance

Dental and vision coverage

Paid parental leave

Flexible spending accounts

Employee assistance program

Qualifications

• 3-5 years of experience in ETL or Data Engineering role.
• Experience working in Agile software development.
• AWS Data Engineering Certification is preferred.

Responsibilities

• Lead the design and development of scalable data pipelines.
• Collaborate with analytics teams to understand business needs.
• Mentor junior engineers and provide technical guidance.

Skills

SQL proficiency

Data pipeline design

Collaboration

Attention to detail

AWS experience

Education

Bachelor’s degree in Computer Science or related field

Tools

Snowflake

dbt

AWS

Azure DevOps

Job description

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.

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 and 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 and technical teams

Preferred Skills:

• Experience in DevOps and CI/CD technologies and methodologies

• AWS Security best practices

• Hospitality knowledge/experience a plus

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 offer many fantastic benefits, including Medical, Dental, Vision, Life Insurance/AD, Disability Insurance, Retirement Plan, Paid Time Off, Holiday Time Off, Associate Shopping Program, Health and Wellness Programs, Discount Marketplace, Identity Theft Protection, Pet Insurance, Commuter Benefits, Employee Assistance Program, Flexible Spending Accounts (FSAs), and Paid Parental Leave.