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Analytics Engineer Remote Dbt Jobs in Ohio (NOW HIRING)

Greenfield Talent

Data Engineer (Remote)

Cleveland, OH · Remote

$111K - $133K/yr

We're looking for a Data Engineer to join our Data & Analytics team and take ownership of the data ... Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.

Vertiv Co

Controls Engineer (Remote)

Delaware, OH · On-site +1

$79K - $102K/yr

... Systems Engineering team. This position can be remote out of the US. This individual will be ... Strong analytical and logical problem-solving skills * High attention to detail; excellent ...

Vertiv Group Corp.

Controls Engineer (Remote)

Delaware, OH · On-site +1

$79K - $102K/yr

... Systems Engineering team. This position can be remote out of the US. This individual will be ... Strong analytical and logical problem-solving skills * High attention to detail; excellent ...

Signet Jewelers Ltd.

eCommerce Engineer (Remote)

Akron, OH · On-site +1

$99K - $133K/yr

Join us! eCommerce Engineer Remote POSITION SUMMARY : With the goal of eCommerce site stability ... Analyze production trends and recurring UI issues to identify opportunities for stability and ...

Signet Jewelers Ltd.

eCommerce Engineer (Remote)

Akron, OH · Remote

$99K - $133K/yr

Join us! eCommerce Engineer Remote POSITION SUMMARY : With the goal of eCommerce site stability ... Analyze production trends and recurring UI issues to identify opportunities for stability and ...

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$142K - $177K/yr

... Python, and dbt, and the communication skills to align both technical and non-technical ... Partner with engineering, analytics, and leadership to shape the roadmap for our data platform

Gifthealth Inc

Senior Data Engineer

Columbus, OH · On-site +1

$102K - $139K/yr

... Python, and dbt, and the communication skills to align both technical and non-technical ... Partner with engineering, analytics, and leadership to shape the roadmap for our data platform

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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 Ohio? For Analytics Engineer Remote Dbt jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Analytics Engineer Remote Dbt jobs in Ohio look for? The top searched job categories for Analytics Engineer Remote Dbt jobs in Ohio are:
What cities in Ohio are hiring for Analytics Engineer Remote Dbt jobs? Cities in Ohio with the most Analytics Engineer Remote Dbt job openings:
Analytics Engineer Remote Dbt jobs near you

Data Engineer (Remote)

Greenfield Talent

Cleveland, OH • Remote

$111K - $133K/yr

Full-time

Re-posted 14 days ago

Job description

We’re looking for a Data Engineer to join our Data & Analytics team and take ownership of the data infrastructure that powers internal analytics, reporting, and operational insights. This is a hands‑on role where you’ll manage and evolve our ELT pipelines, Snowflake environment, and Python‑based integrations while partnering closely with analysts and systems administrators who rely on high‑quality, reliable data.

What You’ll Do

  • Own the day‑to‑day operation, maintenance, and enhancement of ELT pipelines and the Snowflake data warehouse

  • Troubleshoot and resolve pipeline failures, data quality issues, and performance bottlenecks

  • Design, build, and document new data models and transformations as analytical needs evolve

  • Ensure data reliability, consistency, and availability for downstream consumers

  • Support and extend API integration workflows built with Boomi and Python

  • Maintain and contribute to custom Python applications used across the team

  • Collaborate with internal stakeholders to scope and deliver new data integration projects

  • Participate in evaluating modern data tooling as we consider improvements to our architecture

  • Document systems, processes, and decisions to build long‑term institutional knowledge

What You Bring

  • Bachelor’s degree in Computer Science, Information Systems, Statistics, or a related field (preferred)

  • 3–5 years of hands‑on experience in a data engineering role

  • Strong SQL skills and a solid understanding of data modeling for analytics

  • Practical experience with Snowflake or a similar cloud data warehouse

  • Familiarity with ELT/ETL concepts and tools (WhereScape RED, Matillion, Airbyte, dbt, etc.)

  • Working knowledge of Python for data processing and scripting

  • Experience with REST APIs and integrating external data sources

  • Comfort digging into unfamiliar systems to diagnose root‑cause issues

  • Experience using GitHub for version control

Nice to Have

  • Exposure to enterprise integration platforms (Boomi or similar iPaaS tools)

  • Experience with Oracle EBS or Salesforce

  • Familiarity with data pipeline orchestration concepts

  • Experience partnering closely with BI or analytics teams