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Remote Databricks Developer Jobs in Chicago, IL (NOW HIRING)

Data Engineer (MedInsight)

Chicago, IL ยท On-site +1

$93K - $177K/yr

This role is ideal for someone with experience in modern data platforms, including Databricks ... Location This role can be remote within the U.S. The expected application deadline for this job is ...

Experience with Databricks (notebooks, jobs, or lakehouse patterns) * Experience with performance ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

Experience with Databricks (notebooks, jobs, or lakehouse patterns) * Experience with performance ... Remote opportunities are available to candidates who reside in the following states: AL, AZ, CT, FL ...

This is a high-impact contract engagement -- fully remote across the US -- where you will own the ... Cloud Data Integration Work hands-on with Snowflake, BigQuery, or Databricks to optimize query ...

Senior Data Engineer

Chicago, IL ยท On-site +1

$109K - $148K/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 ...

Solution Architect

Chicago, IL ยท On-site +1

$65 - $85.50/hr

Heavily remote based, with 1-2 days in office per month. Lead solution design and architecture for ... Databricks, cloud platform (Azure, AWS, Google Cloud Platform), and data engineering design ...

Solutions Engineer, DoiT Cloud Intelligence

Chicago, IL ยท Remote

$57.50 - $76.75/hr

... US. (Fully remote) Who We Are DoiT is a global technology company empowering cloud-driven ... Databricks, BigQuery, as well as FinOps experience. As a trusted and award-winning strategic ...

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Remote Databricks Developer information

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

To thrive as a Remote Databricks Developer, you need strong expertise in data engineering, programming languages like Python or Scala, and experience with big data frameworks, typically supported by a degree in computer science or a related field. Proficiency with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Associate Developer are commonly required. Strong problem-solving, communication, and self-motivation are crucial soft skills for remote collaboration and project delivery. These skills and qualities ensure efficient development, scalable data solutions, and effective teamwork in distributed environments.

What is the difference between Remote Databricks Developer vs Data Engineer?

AspectRemote Databricks DeveloperData Engineer
Required SkillsProficiency in Databricks, Spark, Python, SQLProficiency in data pipelines, ETL, cloud platforms, SQL
Work EnvironmentCollaborates on data projects using Databricks platformBuilds and maintains data infrastructure across cloud environments
CertificationsDatabricks certifications often preferredCloud certifications (AWS, Azure), data engineering certifications

While both roles involve working with data and cloud platforms, a Remote Databricks Developer specializes in developing solutions within the Databricks environment, focusing on Spark and data analytics. A Data Engineer has a broader scope, designing and maintaining data pipelines and infrastructure across various platforms. The roles overlap in skills like SQL and cloud knowledge, but their primary focus and tools differ.

How does a Remote Databricks Developer typically collaborate with cross-functional teams while working from different locations?

Remote Databricks Developers often work closely with data engineers, data scientists, and business analysts through virtual collaboration tools like Slack, Jira, and Zoom. Since team members may be distributed across various time zones, clear communication, regular stand-up meetings, and thorough documentation are essential for ensuring alignment on project goals and deadlines. Developers are also expected to participate in code reviews and shared knowledge sessions to maintain coding standards and support a collaborative environment. This structure helps ensure that complex data solutions are delivered efficiently and meet business requirements.

What is a Remote Databricks Developer?

A Remote Databricks Developer is a software professional who specializes in building, managing, and optimizing data pipelines and analytics workflows on the Databricks platform, while working from a remote location. They use Databricks, which is based on Apache Spark, to process large datasets, develop ETL processes, implement machine learning models, and collaborate with data teams. Their responsibilities often include writing code in languages like Python, Scala, or SQL, integrating with cloud services, and ensuring data quality and security. Working remotely, they communicate with teams online and use cloud-based tools to complete their tasks efficiently.
What are the most commonly searched types of Databricks Developer jobs in Chicago, IL? The most popular types of Databricks Developer jobs in Chicago, IL are:
What are popular job titles related to Remote Databricks Developer jobs in Chicago, IL? For Remote Databricks Developer jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Remote Databricks Developer jobs in Chicago, IL look for? The top searched job categories for Remote Databricks Developer jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Remote Databricks Developer jobs? Cities near Chicago, IL with the most Remote Databricks Developer job openings:
Knowledge Engineer | Remote role | W2 Only |

Knowledge Engineer | Remote role | W2 Only |

Xlysi

Chicago, IL โ€ข Remote

Other

Posted 6 days ago


Job description

Design and maintain enterprise knowledge repositories and document management solutions using SharePoint.
Work closely with business users, healthcare SMEs, data engineers, and architects to capture, organize, and govern organizational knowledge.
Develop and maintain metadata models, taxonomies, and information architecture standards.
Build and optimize data pipelines using Databricks and Snowflake to support reporting, analytics, and AI initiatives.
Transform healthcare data from multiple source systems into usable business knowledge assets.
Collaborate with data engineering teams to ensure data quality, lineage, governance, and accessibility.
Support enterprise search, knowledge discovery, and AI-powered information retrieval initiatives.
Create and maintain documentation, knowledge articles, process flows, and technical standards.
Work with structured and unstructured healthcare data, including clinical, operational, and financial datasets.
Participate in data governance activities and ensure compliance with healthcare regulations and organizational policies.
Partner with cross-functional teams to improve knowledge sharing and reduce information silos across the organization.
Required Skills & Experience
8+ years of overall IT experience.
4+ years of experience in Knowledge Management or Knowledge Engineering roles.
Strong hands-on experience with SharePoint Online and Microsoft 365 collaboration tools.
Experience working with Databricks, Apache Spark, and Lakehouse architectures.
Strong experience with Snowflake data warehousing and data modelling.
Solid understanding of Data Engineering concepts including ETL/ELT, data integration, and data quality management.
Experience working within healthcare environments and healthcare data domains.
Knowledge of healthcare standards such as HL7, FHIR, ICD, Claims, Provider, and Member data is highly desirable.
Strong SQL and data analysis skills.
Experience with Python, PySpark, or similar data engineering technologies.
Understanding of enterprise information architecture, metadata management, and taxonomy design


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About Xlysi

Sourced by ZipRecruiter

Industry

Software development

Company size

11 - 50 Employees

Headquarters location

Princeton Junction, NJ, US

Year founded

2006