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Remote Analytics Engineer Jobs in Colorado (NOW HIRING)

Orchard

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

About the Role Orchard is looking for a Senior Analytics Engineer to help rebuild how the business ... fully remote in Austin or Denver. What You'll Do Here * Own the big initiatives on the analytics ...

Orchard

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

About the Role Orchard is looking for a Senior Analytics Engineer to help rebuild how the business ... fully remote in Austin or Denver. What You'll Do Here * Own the big initiatives on the analytics ...

Prologis

Program Director, Data & Analytics

Denver, CO · On-site +1

You will connect strategy to execution across Data Engineering, Analytics Engineering, and Data ... remote teams * Strong change management mindset and comfort operating in evolving environments

Rubix Recruiting

Software Tester (Remote)

Denver, CO · Remote

Remote Type: Direct Hire w/ Bonus Structure Description: Our firm is a growing software company ... This position will work in tandem with Business Analysts, Developers and other QA resources.

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What are the main challenges faced by Remote Analytics Engineers, and how are they overcome?

Remote Analytics Engineers often encounter challenges such as coordinating across different time zones, maintaining clear communication with team members, and managing large datasets securely from a distance. These are typically addressed by leveraging collaboration tools (like Slack, Jira, or Zoom), following best practices in data security, and setting consistent check-in routines with the team. Additionally, remote engineers often use robust documentation and automated workflows to ensure data quality and project transparency. Building strong relationships and staying proactive in communication helps pave the way for successful collaboration and project delivery.

What is a Remote Analytics Engineer job?

A Remote Analytics Engineer is responsible for designing, building, and maintaining the data infrastructure that enables data-driven decision-making. They work with data pipelines, ETL processes, and data warehouses to ensure accurate and efficient data flow. This role typically requires expertise in SQL, Python, and data modeling, as well as experience with cloud platforms and analytics tools. Since the position is remote, strong communication and collaboration skills are essential for working with distributed teams.

What are the key skills and qualifications needed to thrive in the Remote Analytics Engineer position, and why are they important?

To thrive as a Remote Analytics Engineer, you should have a strong background in data analysis, data engineering, and statistical modeling, usually supported by a degree in computer science, statistics, or a related field. Expertise in tools like SQL, Python, R, cloud platforms (such as AWS or Google Cloud), and experience with data visualization tools or certifications (e.g., Google Data Analytics) are typically required. Excellent communication, problem-solving abilities, and self-motivation are vital soft skills for effective remote collaboration and delivering analytical insights. These competencies ensure you can manage complex data pipelines, work seamlessly with distributed teams, and provide actionable results that support business decisions.

What are the most commonly searched types of Analytics Engineer jobs in Colorado? The most popular types of Analytics Engineer jobs in Colorado are:
What are popular job titles related to Remote Analytics Engineer jobs in Colorado? For Remote Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Analytics Engineer jobs in Colorado look for? The top searched job categories for Remote Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Remote Analytics Engineer jobs? Cities in Colorado with the most Remote Analytics Engineer job openings:
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Senior Analytics Engineer

Orchard

Denver, CO • On-site, Remote

$135K - $180K/yr

Other

Posted 26 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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