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Analytics Engineer Remote Dbt Jobs in Wisconsin (NOW HIRING)

Serve Robotics

$211K - $246K/yr

Define the data engineering and analytics roadmap, aligned with company goals. This includes ... Hands-on experience with tools such as Snowflake, BigQuery, Redshift, Databricks, dbt, Airflow ...

Tartan Solutions

We are looking for experienced Python Software Engineers who will help us create products and services that help our customers analyze information in new and powerful ways. Ideal Qualifications * 3+ ...

Tartan Solutions

We augment Qooxdoo to enable dynamic site generation and extend the core components to provide a richer data analytics experience. We are looking for people with both a passion for visual perfection ...

Sterling Engineering Inc.

Project Engineer

Madison, WI · On-site +1

$115K/yr

  • Medical

  • Dental

  • Vision

Prepare and review technical analyses, engineering documents, and project deliverables. * Review ... Primarily remote with occasional travel to client meetings. Qualified applicants will receive ...

Mgic Investment

Senior Data Engineer

Milwaukee, WI · Remote

$104K - $141K/yr

  • Retirement

  • PTO

Every position is critical to our company's success - from the analytical to the technical; from ... Troubleshoot data and pipeline issues across source systems, Fivetran, Astronomer,dbt, Snowflake ...

Wisconsin

Instrumentation Engineer/Mechanical Engineer

Madison, WI · On-site +1

$67K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... analysis of test data, and producing test reports. This position will also support the maintenance ... Remote work requires an approved flexible work arrangement (FWA) agreement. An FWA requires ...

Motorola

  • Medical

  • Dental

  • Retirement

Join our team as a Cybersecurity Engineer, where you will execute and/or lead advanced security ... Perform system and network vulnerability scanning and analysis using automated and manual ...

Resource Innovations

Energy Engineer

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis, incentive review, field investigation, and documentation of ...

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Analytics Engineer Remote Dbt information

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 Wisconsin? For Analytics Engineer Remote Dbt jobs in Wisconsin, the most frequently searched job titles are:
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Analytics Engineer Remote Dbt jobs near you

Cyber Security Framework Engineer - Remote

micro1 AI

Milwaukee, WI • Remote

$50 - $90/hr

Part-time

This job post has expired today. Applications are no longer accepted.

Job description

Role Title: Red Team Lead (Offensive Cybersecurity)


Role Type: Contractor


Location: Remote


micro1 is engaging Red Team Leads (Offensive Cybersecurity) to contribute expertise to a customer's critical cybersecurity project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Develop comprehensive taxonomies for cyber-capability tasks and attack stages relevant to modern threat landscapes.
  2. Design and validate evaluation frameworks for offensive security, focusing on real-world scenarios involving exploit chains, malware, cloud/appsec, and social engineering.
  3. Create safe and effective proxy tasks to simulate advanced attack vectors while maintaining strict boundaries and ethical controls.
  4. Formulate robust scoring rubrics to assess attack sophistication, coverage, and impact across diverse domains.
  5. Review, critique, and enhance benchmarks for red team operations to ensure alignment with evolving security risks and best practices.
  6. Produce clear, well-documented methodologies and technical write-ups, communicating complex security concepts to both technical and non-technical audiences.
  7. Collaborate asynchronously with project stakeholders to iterate on frameworks and incorporate feedback into deliverables.


Preferred Qualifications

  1. 5+ years of hands-on experience in offensive cybersecurity, red teaming, exploit development, or vulnerability research (8–20 years preferred for senior contributors).
  2. Track record as a principal security engineer, exploit developer, cloud red-team lead, malware reverse-engineer, or security researcher specializing in attack chains or social engineering.
  3. Deep expertise in cyber attack methodologies, exploit chains, and cloud/application security assessments.
  4. Strong background in malware analysis, reverse engineering, and/or social engineering tactics and defenses.
  5. Demonstrated ability to produce clear, actionable written and verbal communication for a variety of audiences.
  6. Advanced degree, relevant professional security certifications, or equivalent operational experience highly valued.
  7. Experience building benchmarking or evaluation frameworks in cybersecurity is a plus.

Apply