Evolution
Senior Data Engineer Azure Databricks - Chicago (Hybrid)
Evolution, Chicago, Illinois, United States, 60290
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 - $160,000.00/yr Additional compensation types
Annual Bonus 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+
Were 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 , youll 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, youll 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 teamsincluding data scientists, analysts, and engineersto 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: 5+ 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. Bachelors 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? Youll be part of a team thats 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? Wed 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 about new Data Engineer jobs in
Chicago, IL . Chicago, IL $84,950.00-$124,800.00 3 days ago Deerfield, IL $98,600.00-$157,500.00 1 month ago Deerfield, IL $98,600.00-$157,500.00 1 month ago Deerfield, IL $98,600.00-$157,500.00 1 month ago Chicago, IL $100,000.00-$120,000.00 3 days ago Chicago, IL $150,000.00-$220,000.00 1 week ago Chicago, IL $95,600.00-$162,400.00 4 days ago Chicago, IL $99,600.00-$139,440.00 2 weeks ago Chicago, IL $90,000.00-$120,000.00 2 weeks ago Glencoe, IL $75,000.00-$90,000.00 3 days ago Chicago, IL $90,000.00-$140,000.00 3 days ago Chicago, IL $120,000.00-$140,000.00 4 days ago Rosemont, IL $165,000.00-$175,000.00 3 weeks ago Chicago, IL $120,000.00-$150,000.00 3 days ago Chicago, IL $75,000.00-$93,000.00 4 days ago Glenview, IL $80,000.00-$120,000.00 1 week ago Chicago, IL $150,000.00-$210,000.00 4 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr
$140,000.00/yr - $160,000.00/yr Additional compensation types
Annual Bonus 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+
Were 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 , youll 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, youll 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 teamsincluding data scientists, analysts, and engineersto 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: 5+ 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. Bachelors 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? Youll be part of a team thats 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? Wed 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 about new Data Engineer jobs in
Chicago, IL . Chicago, IL $84,950.00-$124,800.00 3 days ago Deerfield, IL $98,600.00-$157,500.00 1 month ago Deerfield, IL $98,600.00-$157,500.00 1 month ago Deerfield, IL $98,600.00-$157,500.00 1 month ago Chicago, IL $100,000.00-$120,000.00 3 days ago Chicago, IL $150,000.00-$220,000.00 1 week ago Chicago, IL $95,600.00-$162,400.00 4 days ago Chicago, IL $99,600.00-$139,440.00 2 weeks ago Chicago, IL $90,000.00-$120,000.00 2 weeks ago Glencoe, IL $75,000.00-$90,000.00 3 days ago Chicago, IL $90,000.00-$140,000.00 3 days ago Chicago, IL $120,000.00-$140,000.00 4 days ago Rosemont, IL $165,000.00-$175,000.00 3 weeks ago Chicago, IL $120,000.00-$150,000.00 3 days ago Chicago, IL $75,000.00-$93,000.00 4 days ago Glenview, IL $80,000.00-$120,000.00 1 week ago Chicago, IL $150,000.00-$210,000.00 4 days ago Were unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr