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Remote Databricks Data Engineer Jobs in Norridge, IL

Collectiv

Data Engineer (Azure, Fabric, Databricks)

Chicago, IL · On-site +1

$118K - $141.60K/yr

... Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks ... At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and ...

Independencepetgroup

Senior Data Engineer

Chicago, IL · On-site +1

$109.20K - $148.30K/yr

Job Location: Remote | Hybrid - United States; Chicago, New York, or Columbus, OH Main ... Implement modern data solutions using tools like dbt, Databricks, ELT frameworks, and other cloud ...

Deloitte

Databricks Engineer

Chicago, IL · On-site +1

... remote client service delivery. Recruiting for this role ends on 06/30/2026. Work you'll do As a Databricks Engineer on the AI & Data team, you will be responsible for... * Build, configure, and ...

Inspire11

Data Engineer

Chicago, IL · On-site +1

$118K - $141.60K/yr

Data Engineer - Inspire11 Elevens, as we call ourselves here, are curiously smart, creative, and ... Develop AI-first, cloud-native data solutions using Microsoft Fabric, Databricks, Snowflake, and ...

PAR Technology

$130K - $144K/yr

Remote, United States Reports To: Engineering Manager What We're Looking For: Requirements ... Spark, Databricks, Structured Streaming * Databases: Relational (Postgres) and NoSQL (DynamoDB ...

The Mutual Group

Lead Cloud Data Engineer

Chicago, IL · On-site +1

Hands on Development of ETL/ELT pipelines using Databricks or similar frameworks to transform raw ... Flexible work schedules and hybrid/remote options for eligible positions * Educational assistance ...

Frch Nelson

Data Engineer

Chicago, IL · On-site +1

$70K - $100K/yr

The Data Engineer will play a critical role in developing the data infrastructure that supports ... Azure Data Factory, Databricks, SQL Server Integration Services and Microsoft Power Automate

Wavicle Data Solutions

Senior Data Engineer

Oak Brook, IL · Remote

$107K - $145.30K/yr

Our work is deeply rooted in strong partnerships with AWS, Databricks, Google Cloud, and Azure ... THE OPPORTUNITY Wavicle Data Solutions, LLC seeks a Senior Data Engineer in Oak Brook, IL. WHAT YOU ...

Claritev

Data Engineer (remote)

Naperville, IL · Remote

$114.40K - $137.40K/yr

This role will be part of the team responsible for developing and deploying Data Engineering Platform and Integration Solutions. Primary responsibility will be to work closely with the Data ...

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Remote Databricks Data Engineer information

See Norridge, IL salary details

$44.4K

$129.3K

$176.9K

How much do remote databricks data engineer jobs pay per year?

As of May 30, 2026, the average yearly pay for remote databricks data engineer in Norridge, IL is $129,287.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,100.00 and $137,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Remote Databricks Data Engineer, and why are they important?

To thrive as a Remote Databricks Data Engineer, you need a solid background in data engineering, strong programming skills in Python or Scala, and experience with big data frameworks, often supported by a degree in computer science or a related field. Proficiency with Databricks, Apache Spark, cloud platforms (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valuable. Strong problem-solving abilities, effective remote communication, and collaboration skills set top performers apart in distributed teams. These skills and qualities ensure efficient data pipeline development, seamless integration, and successful project delivery in remote environments.

What are some common challenges faced by remote Databricks Data Engineers and how can they be addressed?

Remote Databricks Data Engineers often encounter challenges such as coordinating efficiently with distributed teams, managing access to secure data environments, and ensuring smooth pipeline deployments across different cloud platforms. To overcome these, it's important to leverage communication tools for regular check-ins, follow strict data governance protocols, and utilize collaborative features in Databricks such as shared notebooks and version control. Proactively documenting your work and staying updated with platform updates can also help streamline remote collaboration and problem-solving.

What is a Remote Databricks Data Engineer?

A Remote Databricks Data Engineer is a professional who designs, develops, and manages large-scale data processing systems using the Databricks platform, often working from a remote location. They focus on building data pipelines, integrating data sources, and optimizing workflows for analytics and machine learning, leveraging tools like Apache Spark within Databricks. These engineers collaborate with data scientists, analysts, and other stakeholders to ensure data is accessible, reliable, and scalable for business needs. Remote roles offer flexibility in work location while still requiring strong communication and technical skills.
What cities near Norridge, IL are hiring for Remote Databricks Data Engineer jobs? Cities near Norridge, IL with the most Remote Databricks Data Engineer job openings:
Remote Databricks Data Engineer jobs near you

Data Engineer (Azure, Fabric, Databricks)

Collectiv

Chicago, IL • On-site, Remote

$118K - $141.60K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 6 days ago

Job description

Role Overview
The Data Engineer is responsible for designing, implementing, and supporting modern data platforms using Microsoft Fabric and Databricks, with a strong emphasis on lakehouse architecture, analytics engineering, and semantic modeling. This role is client-facing and requires translating business requirements into scalable technical solutions while adhering to data engineering best practices.
You will collaborate with client stakeholders, Collectiv consultants, and cross-functional teams to deliver data platforms that support reporting, advanced analytics, and self-service BI.
Key Responsibilities
Client Delivery & Solution Design
  • Design and implement modern data platforms leveraging Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI) and Databricks (Spark, Delta Lake, SQL Warehouses)
  • Build and optimize data ingestion, transformation, and orchestration pipelines using ELT/ETL best practices
  • Develop scalable lakehouse architectures that support analytics, reporting, and downstream data products
  • Translate business and analytical requirements into technical designs and data models

Analytics & BI Enablement
  • Develop and maintain semantic models that enable performant reporting and self-service analytics
  • Partner with analytics and business teams to deliver trusted datasets and dashboards (Power BI or equivalent)
  • Ensure data quality, reliability, and usability across the analytics platform

Engineering Best Practices
  • Write, optimize, and tune SQL and Spark-based transformations for large-scale analytical workloads
  • Apply version control, CI/CD concepts, and code review standards to data engineering workflows
  • Ensure solutions meet quality criteria related to performance, scalability, and maintainability

Consulting & Collaboration
  • Work directly with client stakeholders to gather requirements, communicate technical concepts, and manage expectations
  • Collaborate with project managers, architects, and fellow consultants to align technical delivery with project goals
  • Contribute to internal documentation, reusable patterns, and knowledge sharing across Collectiv

Required Qualifications
  • Bachelor's degree from an accredited university
  • 4+ years of experience in data engineering, analytics engineering, or data platform consulting
  • Hands-on experience with Microsoft Fabric and/or Databricks in production environments (experience with both strongly preferred)
  • Strong SQL skills, including performance tuning and optimization
  • Experience designing data models for analytics (star schemas, semantic models, lakehouse patterns)
  • Experience working in cloud data platforms (Azure preferred)
  • Ability to work independently in a client-facing consulting role

Preferred Qualifications
  • Experience migrating or modernizing data platforms (e.g., legacy DW to lakehouse)
  • Familiarity with Power BI dataset modeling and performance optimization
  • Experience integrating data platforms with downstream applications or APIs
  • Consulting experience with multiple clients or industries
  • Strong written and verbal communication skills
  • Relevant Azure certifications (e.g., Azure Solutions Architect, Azure Data Engineer), Fabric (DP-600, DP-700) certifications, and Databricks certifications are highly desirable

What Success Looks Like in This Role
  • Clients trust you as a technical advisor for their data platform decisions
  • Delivered solutions are scalable, well-documented, and aligned to best practices
  • Business users are enabled through reliable data models and analytics-ready datasets
  • You actively contribute to Collectiv's data platform standards and consulting excellence

Join Collectiv for a rewarding career in a fully remote work environment with quarterly in person team experiences and a competitive compensation. We provide a clear growth trajectory with professional development opportunities and a top-shelf benefits package. Enjoy unlimited time off and 100% covered health insurance, encompassing medical, dental, and vision plans for you and your family. Our comprehensive offerings, from a competitive 401(k) with a 4% match to educational assistance, tech stipend, and discounts on various goods and services, demonstrate our commitment to your well-being and success. At Collectiv, your career thrives with a perfect blend of remote flexibility, growth potential, and unparalleled benefits prioritizing your financial, physical, and emotional well-being.
Collectiv is the leading boutique consulting and strategy firm specializing in Analytics, Planning and AI with Power BI and the Microsoft Data Stack.
Our mission at Collectiv is simple: We help enterprises make better decisions.
Our Core Values:
Growth Mindset - Bring solutions, not problems.
Excel with Humility - Be humbly brilliant.
Communicate Actively and Empathetically - Listen, ask, understand, help.
Work Hard, Play Hard - Results are proportional to effort.
Keep Calm and Carry On - Stay cool, calm and Collectiv.

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