Data Engineer - Azure, Databricks

# Data Engineer - Azure, Databricks Chicago Apply  for this job
* Permanent* Experienced Professionals
* Data & AI
* -en US Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.##

Job Location:

The preferance for the location is Cinncinnati Ohio but it can be remote as well.## About the job you're considering

Capgemini is looking to hire a senior Azure Databricks Data Engineer with Martech experience in Cinncinnati Ohio.## your role
* Provide L1.5, L2, and L3 production support for Azure and Databricks-based data pipelines and applications.
* Troubleshoot failures related to ingestion, transformations, scheduling, performance, and schema drift.
* Conduct root-cause analysis, implement permanent fixes, and maintain runbooks, SOPs, and knowledge articles.
* Monitor system health, SLAs, job performance, and platform costs using Azure and Databricks observability tools.
* Optimize Spark/Databricks workloads including cluster tuning, Delta Lake optimization, and job performance enhancements.
* Execute controlled production changes and participate in incident, problem, and change management processes.
* Collaborate with engineering, operations, and business teams to implement automation and drive platform reliability.## Skills and experience
* 6-7 years of experience in data engineering with strong expertise in Azure Data Factory/Synapse, ADLS Gen2, Azure SQL, Key Vault, and Databricks (Spark, Delta Lake, Unity Catalog).
* Hands-on proficiency in PySpark and SQL, with strong debugging skills for production data pipelines.
* Martech experience
* Good understanding of ITIL processes including Incident, Problem, and Change Management.
* Experience with Azure Monitor, Log Analytics, and CI/CD platforms (Azure Dev Ops/Git).
* Strong analytical, communication, and documentation skills; ability to work in on-call or high-severity incident environments.

The base compensation range for this role in the posted location is: $112,763 - $148,000.Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting.

This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation  addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.
** Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees.
** In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:
* Paid time off based on employee grade (A-F), defined by policy:
Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
* Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
* Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
* Life and disability insurance
* Employee assistance programs
* Other benefits as provided by local policy and eligibility
** Important Notice:
** Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or…