Data Engineering Lead
Chicago, IL
- Pay
Multiple pay statements — pay source
*This role will be 3 days in office in the West Loop and 2 days remote. Full Salary Range: $145,200/year (minimum), $155,100/year (midpoint), $165,000/year (maximum). Pay is based on relevant experience, skills, education, internal equity, and market data. Well-qualified candidates can generally expect offers around the midpoint. Candidates who meet the minimum qualifications but have more limited directly relevant experience for this specific role are typically placed nearer the minimum, while highly experienced candidates with strong role alignment may be placed closer to the maximum.
Salary 145,200 – 165,000 USD per year About Coates
Read the full posting- Work setup
- Unconfirmed
- Employment
Full-time — employment source
Employment type Full-time
Read the full posting
What you’ll work on
Full postingLead foundational technical decisions across tooling, infrastructure, data design, scalability, and operational efficiency
From the employer’s posting
•Define enterprise standards for data architecture, modeling, observability, reliability, and platform performance Lead foundational technical decisions across tooling, infrastructure, data design, scalability, and operational efficiency •Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment practices across the data platform
Tools in this posting
- Python
- SQL
- AWS
- dbt
- Kafka
- Redshift
- S3
- Snowflake
- Spark
- Terraform
- Databricks
- Airflow
Source — Tool mentions in context
•Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift •Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows •Experience implementing workflow orchestration solutions, preferably Airflow
We are curious, charismatic, authentic and we value and leverage the diversity of our crew. We are imaginers, kindness enthusiasts, experts, creators, thinkers, challengers, collaborators and over-achievers. And together, as a Crew, we are revolutionizing the way the world’s leading brands leverage technology to drive the best customer experiences. Design, build, and lead the evolution of Coates’ next-generation enterprise data platform on AWS, establishing scalable and secure foundations for how data is integrated, governed, transformed, and consumed across the organization. This role enables business intelligence, analytics, operational decision-making, and future AI capabilities through hands-on technical leadership, architecture design, and cross-functional partnership. Responsibilities
Responsibilities •Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities •Design and implement reliable, production-grade data pipelines and processing frameworks for batch and near real-time data
•Proven experience building, modernizing, or significantly evolving enterprise data platforms and architectures •Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift •Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows
•Experience implementing workflow orchestration solutions, preferably Airflow •Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK •Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks
•Ability to work collaboratively across technical and business stakeholders while providing hands-on technical leadership and direction •Exposure to streaming technologies (e.g., Kafka or Kinesis), transformation frameworks such as dbt, multi-cloud environments, and/or ML and data science workflows is beneficial Qualifications
•Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK •Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks *This role will be 3 days in office in the West Loop and 2 days remote.
•Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows •Experience implementing workflow orchestration solutions, preferably Airflow •Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK
About Coatesgroup
Together, we are creators, allowing us to make our purpose a reality – to create immersive brand experiences for everyone.
In the employer’s words · Read in context
Job description
Be Part of Our Next Chapter
For over almost 60 years, our solutions have enabled impactful connections between some of the world’s leading brands and their customers. And while we’ve already done a lot of work we’re proud of, we’re just getting started!
We’re a global technology company focused on creating dynamic, smart, personalized and engaging customer experiences powered by our range of digital hardware, our proprietary content management system and our industry leading signage solutions. (For example: If you’ve ordered in-store or in the drive-thru at McDonald’s somewhere in the world in the last few years, chances are you’ve interacted with our digital solutions.) We work in over 50 global markets and have 9 offices around the world, with a global headquarters proudly located in our founding home of Sydney, Australia.
Coates Group has the values of a family-owned business and the innovative spirit of a start-up, both which fuel our purpose – Creating Connections. Empowering Partnerships. Always Evolving. Through hard work, dedication and creativity, we’ve become industry leaders who have won awards and set records while remaining focused on continual growth and evolution. We are a 2x Australia Good Design Award winner and successfully completed the largest hardware deployment in Quick Service Restaurant history.
We are curious, charismatic, authentic and we value and leverage the diversity of our crew. We are imaginers, kindness enthusiasts, experts, creators, thinkers, challengers, collaborators and over-achievers. And together, as a Crew, we are revolutionizing the way the world’s leading brands leverage technology to drive the best customer experiences.
Design, build, and lead the evolution of Coates’ next-generation enterprise data platform on AWS, establishing scalable and secure foundations for how data is integrated, governed, transformed, and consumed across the organization. This role enables business intelligence, analytics, operational decision-making, and future AI capabilities through hands-on technical leadership, architecture design, and cross-functional partnership.
Responsibilities
•Architect and evolve a scalable, cost-efficient AWS data platform that enables enterprise analytics, reporting, and future AI capabilities
•Design and implement reliable, production-grade data pipelines and processing frameworks for batch and near real-time data
•Define enterprise standards for data architecture, modeling, observability, reliability, and platform performance
• Lead foundational technical decisions across tooling, infrastructure, data design, scalability, and operational efficiency
•Implement and maintain infrastructure-as-code, CI/CD pipelines, and automated deployment practices across the data platform
•Enable high-quality, accessible, and governed data products through scalable semantic layers, curated datasets, and transformation standards
•Provide hands-on technical leadership, mentoring, and architectural direction for a growing team of data engineers and cross-functional stakeholders
Capabilities
•Ability to design scalable, secure, and cost-efficient data architectures that support enterprise analytics and future AI initiatives
•Strong technical problem-solving and decision-making skills, including balancing tradeoffs between scalability, complexity, performance, and cost
•Ability to establish engineering standards, operational best practices, and reliable platform governance processes
•Strong understanding of CI/CD pipelines, modern software engineering practices, and production support models
•Experience enabling accessible, high-quality data products for analytics, reporting, and downstream business consumers
•Ability to work collaboratively across technical and business stakeholders while providing hands-on technical leadership and direction
•Exposure to streaming technologies (e.g., Kafka or Kinesis), transformation frameworks such as dbt, multi-cloud environments, and/or ML and data science workflows is beneficial
Qualifications
•5+ years of experience in data engineering with strong expertise in scalable system and platform design
•Proven experience building, modernizing, or significantly evolving enterprise data platforms and architectures
•Deep hands-on experience within the AWS data ecosystem, including production-scale data lake or lakehouse environments utilizing technologies such as S3, Glue, Spark, Athena, and/or Redshift
•Strong proficiency in Python and SQL with experience developing production-grade data pipelines and transformation workflows
•Experience implementing workflow orchestration solutions, preferably Airflow
•Experience with infrastructure-as-code and automated deployment practices using tools such as Terraform or AWS CDK
•Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks
*This role will be 3 days in office in the West Loop and 2 days remote.
Full Salary Range: $145,200/year (minimum), $155,100/year (midpoint), $165,000/year (maximum).
Pay is based on relevant experience, skills, education, internal equity, and market data. Well-qualified candidates can generally expect offers around the midpoint. Candidates who meet the minimum qualifications but have more limited directly relevant experience for this specific role are typically placed nearer the minimum, while highly experienced candidates with strong role alignment may be placed closer to the maximum.
Salary
145,200 – 165,000 USD per year
About Coates
We are industry leaders who have won awards and set records. We are a 2x Australia Good Design Award winner and we successfully completed the largest hardware deployment in Quick Service Restaurant history.
We are led by a forward-thinking CEO who has demonstrated a true passion for people and making Coates a place where people genuinely enjoy working. Our growth plans enable a focus on providing rapid career advancement opportunities for our talent.
Together, we are creators, allowing us to make our purpose a reality – to create immersive brand experiences for everyone.
Join a Crew that Cares
Be part of a global team of talented, ambitious, creative people that value integrity, individuality and inclusivity. (Ask us about our Equality + Empowerment Initiatives).
The benefits include an annual market competitive bonus program and our “Thrive Program” which includes a suite of flexible work options because we’re strong believers that you should never miss an important life or work moment. Thrive also provides dedicated time to prioritize our health and wellbeing (think virtual Yoga or meditation sessions), a Global Wellness paid day off to recharge as well as a “Give Back Day” to allow our Crew an opportunity to make an impact in the community.
Be inspired To Be More
We skip the red tape and aim to always stay nimble. We’re proud of where we’ve been and are energized by where we’re going. We encourage ideas and perspectives because we know the more we have, the better we are. We work hard but have fun along the way. We push the boundaries but keep it real and authentic. We believe in the values that got us here are the ones that will continue to lead us forward. We are excited by what we’ve accomplished, but know the best is yet to come.
Coates Group is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law).
Fraud Alert: Employment Scam Advisory
It has come to our attention that unauthorised individuals are impersonating our company and reaching out to job seekers through fraudulent emails, falsely claiming to represent Coates. These emails often request personal information and appear to come from domains that are not affiliated with our organisation, such as coatesgroupcareer.com.
We take this matter very seriously. Coates has reported these incidents to law enforcement and is cooperating with the ongoing investigation. We are committed to protecting the integrity of our recruitment process and the privacy of our applicants.
Please be advised of the following:
- Coates does not operate or communicate through any domain resembling "@coatesgroupcareer.com"
- We do not contact employment candidates via email to solicit personal or financial information
- All applications for employment must be submitted through our official website https://coatesgroup.com/careers or directly through our LinkedIn profile: Coates Group
- All emails from us will come from our official domain, which is [at]coatesgroup[dot]com or via our Applicant - Tracking System (ATS) email address, which is no-reply[at]hire.lever[dot]co
If you receive any suspicious communications purporting to be from Coates, we urge you not to respond, do not click any links, and do not provide any personal information. Your safety and trust are of the utmost importance to us. Thank you for your vigilance.
Employment type
Full-time
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.lever.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
*This role will be 3 days in office in the West Loop and 2 days remote. Full Salary Range: $145,200/year (minimum), $155,100/year (midpoint), $165,000/year (maximum). Pay is based on relevant experience, skills, education, internal equity, and market data. Well-qualified candidates can generally expect offers around the midpoint. Candidates who meet the minimum qualifications but have more limited directly relevant experience for this specific role are typically placed nearer the minimum, while highly experienced candidates with strong role alignment may be placed closer to the maximum.
More source context
Salary 145,200 – 165,000 USD per year About Coates
- Location & working pattern
Chicago, IL
•Familiarity with modern data warehousing and lakehouse concepts, including dimensional modeling and platforms such as Snowflake, Redshift, or Databricks *This role will be 3 days in office in the West Loop and 2 days remote. Full Salary Range: $145,200/year (minimum), $155,100/year (midpoint), $165,000/year (maximum).
- Work authorization
We skip the red tape and aim to always stay nimble. We’re proud of where we’ve been and are energized by where we’re going. We encourage ideas and perspectives because we know the more we have, the better we are. We work hard but have fun along the way. We push the boundaries but keep it real and authentic. We believe in the values that got us here are the ones that will continue to lead us forward. We are excited by what we’ve accomplished, but know the best is yet to come. Coates Group is an Equal Opportunity Employer and does not discriminate on the basis of race, color, creed, national or ethnic origin, gender, religion, disability, age, political affiliation or belief, disabled veteran, veteran of the Vietnam Era, or citizenship status (except in those special circumstances permitted or mandated by law). Fraud Alert: Employment Scam Advisory
- Status in our records
- Active
- First seen by us
- Oct 1, 2026
- Recorded sightings
- 2
- Last seen by us
- Oct 6, 2026
- Employer says posted
- Sep 29, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Report an errorSee how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.