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Evolution USA

Senior Data Engineer – Azure - Chicago (Hybrid)

  • +2
  • +10
  • US
    Illinois, United States
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  • +2
  • +10
  • US
    Illinois, United States

About

Get AI-powered advice on this job and more exclusive features. This range is provided by Evolution USA. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range

$140,000.00/yr - $170,000.00/yr Direct message the job poster from Evolution USA Hiring elite Python talent across Engineering, Data, AI & ML for New England tech companies l Founder l Vice President, USA | Tech Podcast Host I 20+…

We’re hiring a

Senior Data Engineer

to design and deliver enterprise-grade data solutions using the latest in lakehouse and cloud technology. This is a senior-level, hands-on role offering autonomy, collaboration, and the opportunity to help lead the development of a high-performing data ecosystem. Working with modern tools like

Azure Databricks ,

Spark , and

Delta Lake , you’ll play a critical role in building scalable data infrastructure that powers advanced analytics, BI, and data science across the organization. What You'll Do: As a Senior Data Engineer, you’ll be a key contributor to the architecture, development, and optimization of our data infrastructure. Your day-to-day will include: Architect & Design

robust, scalable data solutions on the

Databricks Lakehouse Platform

in Azure. Develop & Maintain

production-grade ELT/ETL pipelines using

Spark

(PySpark or Scala), SQL, notebooks, and Delta Live Tables (DLT). Optimize

performance and cost-efficiency through Delta Lake tuning, partitioning, and compute usage improvements. Model

data using

medallion architecture , star-schema, and other frameworks tailored for analytics and reporting. Collaborate

with cross-functional teams—including data scientists, analysts, and engineers—to deliver high-quality data products. Mentor & Guide

junior and mid-level engineers, fostering a culture of quality and technical excellence. Standardize & Govern

data engineering practices by establishing and maintaining technical documentation and best practices. Stay Current

with emerging technologies and trends in cloud data architecture. Your background: 6+ years of hands-on experience building modern data solutions at scale. Deep expertise in

Spark

(PySpark or Scala),

SQL , and data processing in

Databricks . Strong track record of delivering

Lakehouse solutions

using the

medallion architecture

in Azure. Demonstrated success building

metadata-driven ELT/ETL pipelines . Experience with

Azure Data Factory

for data orchestration. Familiarity with Lambda architectures (batch + streaming). Background in agile development (Scrum, Kanban) and working within CI/CD frameworks. Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience. Excellent communicator with strong documentation habits and a collaborative mindset. Bonus Points For: Experience in the

insurance or finance

domain. BI and data analysis experience; ability to support end-to-end data platform development. Familiarity with offshore coordination or hybrid team structures. Why Join Our Client? You’ll be part of a team that’s driving innovation through data. We offer: A

hybrid

work model (1-2 days p/wk in Downtown Chicago office) that blends flexibility with meaningful in-person collaboration Access to a

modern, cloud-first tech stack A culture centered around

trust, collaboration, community, mentorship, and ownership The chance to lead initiatives and make a lasting impact Ready to build the next generation of data platforms with a team that values quality, autonomy, and continuous learning? We’d love to hear from you. Seniority level

Seniority level Mid-Senior level Employment type

Employment type Full-time Job function

Job function Information Technology Industries Insurance, Insurance Agencies and Brokerages, and Data Infrastructure and Analytics Referrals increase your chances of interviewing at Evolution USA by 2x Inferred from the description for this job

Medical insurance Vision insurance 401(k) Pension plan Paid maternity leave Paid paternity leave Get notified when a new job is posted. Sign in to set job alerts for “Data Engineer” roles.

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Nice-to-have skills

  • Python
  • Engineering
  • Spark
  • ETL
  • PySpark
  • Scala
  • SQL
  • Azure Data Factory
  • Scrum
  • Kanban
  • Illinois, United States

Work experience

  • Data Engineer
  • Data Infrastructure

Languages

  • English