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Analytics Engineer Remote Dbt Jobs in Chicago, IL

Inspira Financial

Azure DevOps Engineer (Remote)

Oak Brook, IL · On-site +1

$53.25 - $73/hr

Deep experience in Azure Cloud, Azure Kubernetes Service (AKS), Azure DevOps (ADO) pipelines, Azure Monitor, Log Analytics, and Application Insight. * Deploy and manage containerized applications on ...

Inspira Financial

Azure DevOps Engineer (Remote)

Oak Brook, IL · Remote

$53.25 - $73/hr

Deep experience in Azure Cloud, Azure Kubernetes Service (AKS), Azure DevOps (ADO) pipelines, Azure Monitor, Log Analytics, and Application Insight. * Deploy and manage containerized applications on ...

Inspira Financial

Azure DevOps Engineer (Remote)

Oak Brook, IL · Remote

$53.25 - $73/hr

Deep experience in Azure Cloud, Azure Kubernetes Service (AKS), Azure DevOps (ADO) pipelines, Azure Monitor, Log Analytics, and Application Insight. * Deploy and manage containerized applications on ...

Cohort AI Inc.

Associate Data Engineer

Naperville, IL · Remote

$114K - $137K/yr

... analysis. A big part of your work will involve building and maintaining data pipelines, mapping ... Use tools like Databricks, BigQuery, Redshift, dbt, and command-line utilities * Collaborate with ...

NinjaHoldings

Sr. Technical Business Analyst

Chicago, IL · On-site +1

$110K - $155K/yr

... Engineering, Analytics, and Finance teams to design, develop, test, and maintain dbt models that ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

NinjaHoldings

Sr. Technical Business Analyst

Chicago, IL · On-site +1

$110K - $155K/yr

... Engineering, Analytics, and Finance teams to design, develop, test, and maintain dbt models that ... Flexible, remote work * Fun, fast-paced work environment * Dynamic start-up culture * Ability to ...

ICF

Senior Transmission Planning Engineer - Remote

Chicago, IL · On-site +1

$107K - $147K/yr

  • Retirement

You bring solutions, not just analyses, and you are motivated by the challenge of a grid that is ... Mentor junior and mid-level engineers through technical review, guidance, and day-to-day ...

New

Sentinel

Enterprise Data Analyst

Downers Grove, IL · On-site +1

$80K - $120K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analytics engineering, or business intelligence development roles. * Core Technologies: Expert-level proficiency with Snowflake (including advanced SQL optimization) and dbt (model development ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · Remote

$108K - $147K/yr

  • Medical

  • PTO

While we are a remote-first company, we are currently only able to hire candidates located in the ... Lead, mentor, and grow a distributed analytics team across multiple time zones. * Establish ...

Adoreal

Senior Data Engineer Manager

Chicago, IL · On-site +1

$109K - $148K/yr

  • Medical

  • PTO

While we are a remote-first company, we are currently only able to hire candidates located in the ... Lead, mentor, and grow a distributed analytics team across multiple time zones. * Establish ...

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Showing results 21-40

All JobsAnalytics Engineer Dbt JobsAnalytics Engineer Remote Dbt JobsAnalytics Engineer Remote Dbt Jobs in Chicago, IL

Analytics Engineer Remote Dbt information

See Chicago, IL salary details

$37.1K

$99.9K

$153K

How much do analytics engineer remote dbt jobs pay per year?

As of Aug 15, 2026, the average yearly pay for analytics engineer remote dbt in Chicago, IL is $99,893.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,700.00 and $113,300.00 per year, depending on experience, location, and employer.

How does an analytics engineer working remotely with dbt typically collaborate with data analysts and other stakeholders?

Remote Analytics Engineers utilizing dbt often collaborate closely with data analysts, data scientists, and business stakeholders through virtual meetings, shared documentation, and version-controlled code repositories. They translate business requirements into data models, ensure data quality, and maintain data transformation pipelines. Regular syncs and agile ceremonies, like sprint planning and retrospectives, help keep communication clear and priorities aligned, while tools like Slack, Jira, and GitHub streamline collaboration across distributed teams.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis by building robust and scalable data models, often using tools like dbt (data build tool). In a remote setting, they are responsible for transforming raw data into well-structured datasets that analysts and business users can trust, collaborating with teams via digital communication tools. Their work includes writing SQL code, maintaining data pipelines, documenting data models, and ensuring data quality and consistency. Using dbt, Analytics Engineers automate and manage data transformations, making it easier for organizations to analyze their data efficiently.

What are the key skills and qualifications needed to thrive as a remote analytics engineer specializing in dbt?

To excel as a Remote Analytics Engineer focusing on dbt, you need strong SQL skills, data modeling expertise, and a background in analytics or computer science. Proficiency in dbt (data build tool), cloud data warehouses like Snowflake or BigQuery, and experience with version control systems such as Git are typically required. Outstanding problem-solving, communication, and collaboration skills make candidates stand out in remote and cross-functional environments. These competencies ensure efficient data pipeline development, reliable analytics solutions, and effective teamwork, which are crucial for delivering high-quality insights remotely.

What is the difference between Analytics Engineer Remote Dbt vs Data Engineer?

AspectAnalytics Engineer Remote DbtData Engineer
CredentialsSQL, Python, cloud platforms, Dbt certificationsSQL, Python, cloud platforms, data architecture certifications
Work EnvironmentRemote, collaborative with data teams, focus on analytics and data modelingOn-site or remote, infrastructure and pipeline development, focus on data systems
Industry UsageTech, finance, e-commerce, marketingTech, finance, healthcare, telecom

Analytics Engineer Remote Dbt professionals focus on building and maintaining data models using tools like Dbt, primarily supporting analytics and business insights. Data Engineers develop and manage data pipelines and infrastructure, often working on larger data systems. While both roles require SQL and cloud experience, Analytics Engineers emphasize data modeling and analytics, whereas Data Engineers focus on data architecture and pipeline development.

What are popular job titles related to Analytics Engineer Remote Dbt jobs in Chicago, IL?

For Analytics Engineer Remote Dbt jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Analytics Engineer Remote Dbt jobs in Chicago, IL look for?

The top searched job categories for Analytics Engineer Remote Dbt jobs in Chicago, IL are:

Analytics Engineer Remote Dbt jobs near you

Azure DevOps Engineer (Remote)

Inspira Financial

Oak Brook, IL • On-site, Remote

$53.25 - $73/hr

Full-time

Re-posted 28 days ago

Inspira Financial rating

7.6

Company rating: 7.6 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

Job description

We are seeking a highly skilled Azure DevOps Engineer II to extend and maintain existing and develop new pipelines for our Inspira IRA Platform. In your role, you will play a crucial role in ensuring the continuous delivery of our software products and services to our clients and internal stakeholders. As an Azure DevOps Engineer, you will be responsible for the successful implementation of complex technical initiatives, coordinating cross-functional teams, and ensuring alignment with business goals and objectives. The ideal candidate has a strong technical background, hands-on experience with DevOps tools, excellent communication skills, and a proven track record of building and delivering large-scale DevOps projects.
Duties and Responsibilities
  • Deep experience in Azure Cloud, Azure Kubernetes Service (AKS), Azure DevOps (ADO) pipelines, Azure Monitor, Log Analytics, and Application Insight.
  • Deploy and manage containerized applications on Azure Kubernetes Service (AKS) using Helm charts, implementing GitOps workflows with Flux CD.
  • Architect and optimize Azure DevOps CI/CD pipelines for micro services deployments.
  • Collaborate with cloud and delivery teams to influence technical decisions and align them with business goals.
  • Identify and implement improvements to enhance the scalability, reliability, and efficiency of Azure DevOps pipeline.
  • Ensure software deployment and management are secure, reliable, and compliant with industry standards and best practices.
  • Document application releases comprehensively, including configuration and content details.
  • Demonstrate expertise in configuring, testing, and delivering core systems on Azure, ensuring they meet performance and reliability standards.
  • Deliver configuration as code for reproducibility and scalability.
  • Adapt working style to support teammates, practice active listening, and offer help when needed.
  • Monitor system performance and troubleshoot issues proactively on Azure, ensuring minimal downtime and optimal performance.
  • Stay updated on the latest Azure DevOps trends, technologies, and best practices to continually improve.

Additional Interview Requirements:
As part of the evaluation process, candidates who progress beyond the initial screening will be required to complete a formal technical assessment to validate coding proficiency and technical competency.
Education & Experience
  • 3-5+ years of experience as an Azure and Microsoft centric DevOps engineer or related role
  • Professional and empathetic in client interactions, focusing on understanding and promoting client interests
  • Strong experience with Azure cloud platforms, ADO pipelines, Flux CD, Helm, Kubernetes, Docker, Terraform, and Ansible
  • Proficiency with containerization and orchestration technologies like Docker and Kubernetes (AKS)
  • Experience with databases, secrets, and storage services and other cloud engineering automation tools
  • Take full ownership of tasks, ensure completion, and manage time responsibly
  • Strong problem-solving and troubleshooting skills
  • Experience with monitoring and logging tools such as Azure Monitor, Log Analytics, Data Dog, and Application Insights
  • Excellent communication and interpersonal skills, including the ability to drive continuous improvement in the DevOps community of practice

Other Requirements:
  • Infrequent travel (Less than 5%)
  • Ability to provide personal transportation and work overtime
  • Prolonged periods of sitting at a desk and working on a computer

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