Overview
On Site
140k - 160k
Full Time
Skills
Recruiting
Business-to-business
Electronic Commerce
Analytics
Amazon S3
Amazon DynamoDB
GitHub
Jenkins
GitLab
Terraform
Docker
Kubernetes
Workflow
Streaming
Extract
Transform
Load
Scripting
Bash
Unix
Shell
Windows PowerShell
Machine Learning Operations (ML Ops)
Microsoft Power BI
Data Engineering
Snow Flake Schema
Databricks
Apache Spark
Python
Continuous Integration
Continuous Delivery
Amazon Web Services
Mentorship
Collaboration
Insurance
Finance
SAP BASIS
MW
Job Details
A Fortune 500 company based in the Chicagoland area is hiring a Senior Infrastructure Operations Data Engineer (DataOps) to help scale and stabilize its modern data platforms. With over $17B in revenue and one of the largest B2B e-commerce footprints in North America, this team is deep in the midst of a next-gen data transformation. Tech stack includes Databricks, Snowflake, Python, Spark, Airflow, Terraform, Kubernetes, and AWS.
This isn't just another senior engineer role - this is a unique opportunity to own platform reliability for enterprise-scale data systems. You'll split your time between data engineering and infrastructure operations, working cross-functionally with platform, analytics, and data teams to improve observability, automate cost tracking, enforce SLAs, and streamline CI/CD. If you're someone who wants to mentor junior engineers, solve real platform problems, and influence tooling and strategy - this is your playground.
Required Skills & Experience
Tech Breakdown
The Offer
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-MW9
This isn't just another senior engineer role - this is a unique opportunity to own platform reliability for enterprise-scale data systems. You'll split your time between data engineering and infrastructure operations, working cross-functionally with platform, analytics, and data teams to improve observability, automate cost tracking, enforce SLAs, and streamline CI/CD. If you're someone who wants to mentor junior engineers, solve real platform problems, and influence tooling and strategy - this is your playground.
Required Skills & Experience
- 5+ years in data engineering or infrastructure roles
- Strong experience with Snowflake or Databricks
- Proficiency in AWS (Glue, Lambda, S3, Athena, DynamoDB)
- Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, or GitLab)
- Experience with Terraform, Docker, and Kubernetes
- Familiarity with Airflow or Databricks Workflows
- Strong Python and Spark for batch/streaming ETL
- Scripting experience in Bash, Unix shell, or PowerShell
- Experience defining and enforcing SLAs
- Experience with both Snowflake and Databricks
- Experience with Datadog or other observability tools
- Background in MLOps
- Power BI development or admin knowledge
Tech Breakdown
- 50% Data Engineering (Snowflake / Databricks / Spark / Python / Airflow)
- 50% Infrastructure Operations (CI/CD, IaC, Containerization, AWS, Monitoring)
- 80% Hands-On Engineering
- 10% Mentorship
- 10% Cross-Team Collaboration
The Offer
- Bonus eligible - 10% annual bonus
- Medical, Dental, and Vision Insurance (starting Day 1)
- 18 PTO Days + 6 Holidays
- 401(k) with 6% automatic company contribution
- Tuition reimbursement and financial wellness tools
- Parental leave and mental health support
Applicants must be currently authorized to work in the US on a full-time basis now and in the future.
#LI-MW9
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.