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Remote Databricks Data Engineer Jobs in Lake Forest, IL

Data Analyst

Chicago, IL ยท On-site +1

Leveraging cloud data platforms (e.g., Fabric, Snowflake, Databricks, Redshift, Synapse) to access ... Collaborating cross-functionally with data engineers, architects, and solution owners to deliver ...

Data Scientist

Chicago, IL ยท On-site +1

PhD inMathematics,Statistics,Engineering, or other STEMfieldwith related ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

AI/ML

Des Plaines, IL ยท Remote

... Databricks, Azure, Google Cloud and OpenAI. * Software engineering and/or Data Engineering ... Support, even from afar, with our remote assistance. * Regular salary reviews? You betcha! Ready to ...

Engineering Manager, Big Data

Chicago, IL ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Chicago, IL ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Engineering Manager, Big Data

Chicago, IL ยท Remote

$190K - $240K/yr

As part of this effort, we're hiring an Engineering Manager to lead our Big Data Engineering team ... Employer-matched 401(k) plan #LI-Remote The US base salary range for this full-time position is ...

Data Management Manager

Deerfield, IL ยท On-site +1

$142K/yr

Utilizing cloud-based data platforms including Databricks, Snowflake, or Dataiku; DevOps and ... Flexible work models, including remote and hybrid work arrangements, where possible Apply now and ...

Sr. Data Scientist

Chicago, IL ยท Remote

$85 - $100/hr

Remote Contract Pay: $85/hr - $100/hr The Senior Data Scientist will design and implement AI ... Collaborate with cross-functional teams, including engineering, data, and business stakeholders ...

Showing results 41-60

Remote Databricks Data Engineer information

See Lake Forest, IL salary details

$44.1K

$128.4K

$175.7K

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

As of Aug 23, 2026, the average yearly pay for remote databricks data engineer in Lake Forest, IL is $128,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,400.00 and $136,100.00 per year, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a remote Databricks data engineer?

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 are the most commonly searched types of Databricks Data Engineer jobs in Lake Forest, IL?

The most popular types of Databricks Data Engineer jobs in Lake Forest, IL are:

What are popular job titles related to Remote Databricks Data Engineer jobs in Lake Forest, IL?

For Remote Databricks Data Engineer jobs in Lake Forest, IL, the most frequently searched job titles are:

What job categories do people searching Remote Databricks Data Engineer jobs in Lake Forest, IL look for?

The top searched job categories for Remote Databricks Data Engineer jobs in Lake Forest, IL are:

What cities near Lake Forest, IL are hiring for Remote Databricks Data Engineer jobs?

Cities near Lake Forest, IL with the most Remote Databricks Data Engineer job openings:

Healthcare Data Engineering Consultant

Resource Consultings Services Inc

Chicago, IL โ€ข Remote

Contractor

Posted yesterday

New


Job description

Role: Senior Healthcare Data Engineering Consultant

Location: Remote

Duration: 6+ month

Our client is seeking a senior, hands-on Healthcare Data Engineering Consultant to design, build, and operationalize secure clinical-data de-identification workflows. This consultant will work with Epic-sourced healthcare data and collaborate closely with clinical, privacy, security,  vendor, business, and technical stakeholders. The role is responsible for delivering dependable, secure, and well-documented data pipelines.

The ideal candidate brings practical expertise in Microsoft Fabric, Python, SQL, Epic data, and healthcare-data de-identification.

Key Responsibilities

•  Design, develop, test, deploy, and support end-to-end data pipelines in Microsoft Fabric using Python and SQL.

•  Work with Epic-sourced clinical data, including structured  records, flowsheets, and clinical notes.

•  Implement approved de-identification controls, including:

o Identifier transformation

o Patient-consistent pseudonymization

o Date shifting

o Age-related controls

o Secure handling of clinical free text

•   Translate approved transformation requirements into reproducible, version- controlled  workflows with effective exception handling.

•  Develop validation checks for:

o Data completeness of Referential integrity of Patient linkage

o Date-shift consistency

o Schema changes

o Processing exceptions

o Release readiness

•   Build monitoring, error-handling,  audit-logging, and operational-support processes.

•   Profile source  data, identify privacy and data-quality risks,  and recommend practical remediation approaches.

•   Produce  architecture diagrams, implementation documentation, validation results, and production-support runbooks.

•  Troubleshoot  complex pipeline and data-quality issues.

•   Communicate risks,  dependencies, progress, and timelines  clearly to technical and nontechnical stakeholders.

•   Represent  the data-engineering workstream in discussions with clinical, privacy, security,  vendor, and business teams.

Required Qualifications

•   Three or more years of relevant experience in data engineering, healthcare-data integration, or analytics-platform development.

•  Strong hands-on experience with Microsoft Fabric, Python, and SQL.

•   Demonstrated experience working with Epic data or Epic reporting and integration environments.

•   Working knowledge of healthcare-data de-identification concepts and secure handling of protected health information.

•   Experience building production-quality data pipelines with appropriate testing, monitoring, documentation, and support practices.

•  Strong analytical, problem-solving, and troubleshooting skills.

•  Clear technical-writing and stakeholder-communication abilities.

•  Ability to manage multiple priorities and work independently in a collaborative, deadline-driven environment.

Preferred Qualifications

•   Experience with Azure data services, Spark or PySpark, and lakehouse or Delta data architectures.

•   Familiarity with clinical data formats and interfaces, including  HL7, CDA/CCDA, or FHIR.

•   Experience processing clinical free text or working with clinical NLP and de- identification tools.

•  Bachelor’s degree in computer science, data engineering, information systems, or a related field.