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Analytics Engineer Remote Dbt Jobs in Colorado (NOW HIRING)

Orchard

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

... fully remote in Austin or Denver. What You'll Do Here * Own the big initiatives on the analytics ... Take new data sources from raw ingest to production gold-tier dbt models that the rest of the ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ...

Fluid Consulting Services

DATA ENGINEER

Boulder, CO · Remote

$130K/yr

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics ... Support DBT development and CI/CD practices * Tune BigQuery performance and manage access/security ...

DSC Resources

Senior Java Software Engineer

Denver, CO · Remote

$130K - $152K/yr

Senior Java Software Engineer Remote - US-Based Only No visa sponsorship | No third-party agencies ... Analyze complex technical challenges and recommend scalable solutions. * Mentor team members and ...

Evio

Data Engineer (Remote)

Denver, CO · Remote

$117K - $141K/yr

Partner closely with product and analytics team to understand business goals and engineer solutions to the right problems. * Contribute to a culture of transparency, accountability, and continuous ...

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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 and what do they do, especially in a remote role using dbt?

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, and why are they important?

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

Senior Analytics Engineer

Orchard

Denver, CO • On-site, Remote

$135K - $180K/yr

Other

Posted 13 days ago

Job description

About Orchard

Orchard's mission is to make home buying and selling, stress free, fair and simple. For the average American, the home purchase and sale process takes months, creates anxiety, and is filled with uncertainty and hassle. Orchard has reimagined the end-to-end experience of buying and selling, from innovative home search tools to find the perfect home to the ability to buy a new home before selling your current one. Orchard customers manage the entire experience through a personalized online dashboard, while also getting the support of best-in-class Orchard real estate agents.
Headquartered in New York City with teammates across the US, Orchard has 150+ full time employees and 600+ real estate agents. We have financing from top-tier investors including Revolution Growth, Firstmark, Accomplice, Navitas and Juxtapose, who have also backed the likes of Pinterest, AirBnb, Shopify and Sweetgreen. We're proud to have been recognized by Crain's, Inc. 5000, Glassdoor, Parity.org and Built In on their lists of best places to work.

About the Role

Orchard is looking for a Senior Analytics Engineer to help rebuild how the business gets answers from its data. We're moving from a sprawling Looker footprint to a set of certified gold-tier models, paired with a prose-based semantic layer that lets stakeholders ask questions in plain language and get trustworthy answers. Dashboards still exist for the high-visibility metrics where everyone needs to be looking at the same number. You'll build agent analysts on top of them that surface important changes to stakeholders. You'll own that transition end to end and help set the technical direction for analytics at Orchard.

This is a full-time role that will report to the Director of Platform Product and Data. This role can either be based in our New York headquarters on a hybrid schedule (Tuesday and Wednesday), or can be fully remote in Austin or Denver.  

What You'll Do Here

  • Own the big initiatives on the analytics platform roadmap from scoping through delivery, and shape where the roadmap goes next alongside the Director.
  • Take new data sources from raw ingest to production gold-tier dbt models that the rest of the company can trust. Speed and quality.
  • Author and maintain the prose semantic layer: markdown documenting what each model means, how metrics are defined, what historical decisions shaped the data, and where the landmines are.
  • Build and tune the LLM-powered query layer on top: prompts, retrieval, evals, and the feedback loop when it gets something wrong.
  • Stand up agents that monitor certified dashboards for anomalies and trend shifts, and tune them until execs trust the alerts enough to act on them.

We'd Love to Hear From You if You Have

  • 4+ years in analytics engineering, data engineering, or a hybrid data role, including time owning a significant data platform or migration from end to end.
  • Deep dbt and SQL fluency. Strong opinions about grain, testing, documentation, and the limits of each. 
  • Comfort working in Redshift or a similar warehouse at scale.
  • Built something useful with LLMs against your own data and have opinions about what works. Hands-on experience with retrieval or evals is a plus.
  • Clear technical writing. You can explain a metric in a paragraph an exec reads once. 
  • Demonstrated ability to own technical decisions in your domain and bring stakeholders along across the org. You can push back when the data won't support what people want, and they'll still come back to you.

The pay range for this position in Colorado is $135k-180k/year. The actual base pay offered may vary within the range provided depending on job-related knowledge, skills, and experience. Stock options and other incentive pay may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, depending on the position offered. 

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