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Analytics Engineer Remote Dbt Jobs in Chicago, IL

Stryker

Senior Lead Data Engineer (Remote)

Chicago, IL · On-site +1

Remote As a Senior Lead, Data Engineering, you will serve as a technical leader who helps shape the ... Partner with procurement analysts, architects, engineers, and business stakeholders to translate ...

NinjaTrader

Sr. Data Engineer

Chicago, IL · On-site +1

$109K - $148K/yr

This role is remote-friendly and reports to the Manager, Data & Analytics Engineering. As a Sr. ... Develop dbt workflows to onboard Evaluation Partners and create end-of-day reporting for partner ...

RxSaveCard Inc

Data Engineer (Remote)

Chicago, IL · Remote

$117K - $140K/yr

Own incident response and root cause analysis for data-related issues * Track tasks, timelines, and ... Remote or hybrid Chicago work flexibility * Collaborative and dynamic team environment * The chance ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Oowlish Technology

Senior Data Engineer (Snowflake)

Chicago, IL · On-site +1

$109K - $148K/yr

We offer the convenience of remote work, allowing you to craft a work-life balance that suits your ... Build and optimize data models in Snowflake for analytics and operational reporting. * Develop data ...

DISHER

Vision Engineer

Hammond, IN · Remote

Vision Engineer - Remote / Travel DISHER is currently partnering with a world leading automation ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Crash Champions

Senior Data Engineer - Remote

Westmont, IL · Remote

$106K - $144K/yr

Responsibilities Crash Champions is seeking a Senior Database Engineer to join our IT Data Analytics team which supports Data andReportinginitiatives across the organization. The primary ...

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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 10, 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

Data & Analytics Engineer (Microsoft Fabric)

Gulf Coast Automation Group

Chicago, IL • Remote

$110K - $130K/yr

Full-time, Contractor

Medical, Retirement, PTO

Posted 26 days ago

Job description

Job Title: Data & Analytics Engineer (Microsoft Fabric)
Primary Location: 2 days a week in Chicago's north Suburbs
Position Type: Direct hire
Overview
TalentFish is casting a line for a Data & Analytics Engineer to join a remote Contract-to-Hire opportunity with a client based in Illinois.
This role is ideal for a hands-on data professional who will serve as the client's internal Microsoft Fabric and Data Engineering subject matter expert (SME). The successful candidate will lead the design, development, and optimization of modern data solutions while driving best practices across Microsoft Fabric, Azure Databricks, SQL, and Power BI. You will partner with business and technical stakeholders to build scalable data platforms, establish governance standards, and deliver trusted analytics that support strategic business decisions.
What You Bring to the Role (Ideal Experience)

  • 6–8+ years of experience in Data Engineering, Data Analytics, Data Architecture, or a related discipline.
  • Bachelor's degree or equivalent combination of education and professional experience.
  • Advanced SQL skills, including data modeling, query optimization, and performance tuning.
  • Deep experience with Microsoft Fabric, including Lakehouse, Warehouse, OneLake, Data Factory, and Fabric Pipelines.
  • Strong experience with Azure Databricks, Delta Lake, Spark, and modern ELT/ETL development.
  • Experience designing scalable data architectures and enterprise data platforms.
  • Strong understanding of data governance, security, metadata management, and data quality best practices.
  • Experience integrating Microsoft Fabric with Azure Databricks using OneLake shortcuts and Delta Sharing.
  • Proficiency with Power BI, including semantic models, DAX, and enterprise reporting.
  • Experience with Azure DevOps, Git, CI/CD pipelines, and release management.
  • Experience supporting enterprise analytics initiatives and collaborating with cross-functional teams.
  • Strong analytical, communication, and stakeholder management skills.

What You'll Do

  • Serve as the client's internal Microsoft Fabric expert, providing technical leadership and guidance on enterprise data architecture and platform capabilities.
  • Design, build, and maintain scalable data pipelines and modern data solutions using Microsoft Fabric, Azure Databricks, SQL, and Power BI.
  • Architect and optimize Lakehouse and Warehouse solutions within Microsoft Fabric.
  • Develop enterprise data models that support reporting, analytics, and AI initiatives.
  • Design and implement robust ELT/ETL processes for structured and semi-structured data.
  • Establish and promote data engineering best practices, governance standards, and data quality processes.
  • Build secure, scalable, and high-performing data environments across Microsoft Fabric and Azure.
  • Integrate Microsoft Fabric and Azure Databricks through OneLake shortcuts, Delta Sharing, and modern data architecture patterns.
  • Partner with business stakeholders to translate requirements into scalable data and analytics solutions.
  • Support Data Engineering, Analytics, BI, and Data Science teams by providing reliable and governed data assets.
  • Develop executive dashboards, KPIs, and analytical reporting using Power BI.
  • Manage Azure DevOps repositories, pipelines, and deployment processes supporting continuous delivery.
  • Monitor and optimize platform performance, data pipelines, and storage utilization.
  • Evaluate and recommend emerging Microsoft data technologies and Fabric capabilities to continuously improve the client's data ecosystem.
  • Act as the primary point of contact for Microsoft Fabric architecture, data engineering strategy, and platform best practices across the organization.

Compensation Information
The expected compensation for this position is $110-130K yearly, depending on experience and qualifications. This Contract-to-Hire opportunity also offers comprehensive benefits, including health insurance, 401(k), and paid time off.
TalentFish is committed to pay transparency and equal opportunity. The salary range provided complies with applicable state and federal regulations.
This position requires authorization to work in the United States without current or future visa sponsorship.
All offers are contingent upon successful completion of a background check, which may include employment verification, education verification, reference checks, criminal history, drug screening, and other client-specific compliance requirements.
TalentFish is an employee-owned company transforming IT staffing through innovative technology, AI-driven recruiting, and an exceptional client and consultant experience.
TalentFish is proud to be an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees.