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Remote Looker Developer Jobs in Colorado (NOW HIRING)

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

We're moving from a sprawling Looker footprint to a set of certified gold-tier models, paired with ... can be fully remote in Austin or Denver. What You'll Do Here * Own the big initiatives on the ...

Senior Analytics Engineer

Denver, CO · On-site +1

$135K - $180K/yr

We\'re moving from a sprawling Looker footprint to a set of certified gold-tier models, paired with ... can be fully remote in Austin or Denver. What You'll Do Here * Own the big initiatives on the ...

... remote option.) Job Summary We are seeking an Executive Director, Data Platforms to lead the ... You will partner closely with data engineering, analytics, product, and business teams to ensure ...

New

Digital Marketing Analyst

Louisville, CO · On-site +1

$85K - $115K/yr

Work closely with agency partners, including analytics agencies and website developers, to ensure ... This position is remote. The base compensation range for this position is $85,000 - $115,000 ...

Digital Marketing Analyst

Louisville, CO · On-site +1

$85K - $115K/yr

Work closely with agency partners, including analytics agencies and website developers, to ensure ... This position is remote. The base compensation range for this position is $85,000 - $115,000 ...

Remote Looker Developer information

What is the difference between Remote Looker Developer vs Data Analyst?

AspectRemote Looker DeveloperData Analyst
Primary RoleDesigning and developing dashboards and reports using LookerAnalyzing data to identify trends and insights
Skills & CertificationsLooker certifications, SQL, data modelingExcel, SQL, data visualization tools
Work EnvironmentRemote, tech-focused teams in various industriesRemote or on-site, across multiple industries
Employer UsageCompanies using Looker for BI solutionsOrganizations seeking data-driven decision making

While both roles involve working with data, a Remote Looker Developer specializes in creating dashboards and reports within Looker, requiring technical skills like data modeling and Looker certifications. A Data Analyst focuses on interpreting data to provide insights, often using a broader set of tools. Both roles can be remote and are vital in data-driven organizations, but their core responsibilities differ.

What are some common challenges faced by Remote Looker Developers, and how can they be addressed?

Remote Looker Developers often encounter challenges such as collaborating effectively with distributed data teams, managing different time zones, and ensuring data security across remote environments. To address these, it's important to establish clear communication channels (like Slack or project management tools), schedule regular check-ins, and follow best practices for version control and documentation. Utilizing secure VPN connections and adhering to company data governance policies also helps maintain data integrity and compliance while working remotely.

What are the key skills and qualifications needed to thrive as a Remote Looker Developer, and why are they important?

To thrive as a Remote Looker Developer, you need strong skills in SQL, data modeling, and business intelligence, typically supported by experience with Looker and a background in computer science or data analytics. Familiarity with LookML, version control systems (such as Git), and cloud data warehouses like BigQuery or Redshift is essential. Excellent communication, problem-solving abilities, and self-motivation are important soft skills for collaborating virtually and translating business requirements into data solutions. These skills ensure effective data visualization, actionable insights, and seamless teamwork in a remote environment.

What is a Remote Looker Developer?

A Remote Looker Developer is a data professional who specializes in creating, managing, and optimizing data models, dashboards, and reports using Looker, a business intelligence and data visualization platform. They work remotely, collaborating with teams via digital communication tools to gather requirements, transform data sources, and deliver analytics solutions that help organizations make data-driven decisions. Remote Looker Developers are skilled in LookML (Looker's modeling language), SQL, and often have experience with cloud data warehouses and analytics best practices.
What are the most commonly searched types of Looker Developer jobs in Colorado? The most popular types of Looker Developer jobs in Colorado are:
What are popular job titles related to Remote Looker Developer jobs in Colorado? For Remote Looker Developer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Looker Developer jobs in Colorado look for? The top searched job categories for Remote Looker Developer jobs in Colorado are:
What cities in Colorado are hiring for Remote Looker Developer jobs? Cities in Colorado with the most Remote Looker Developer job openings:

Senior Analytics Engineer

Orchard

Denver, CO • On-site, Remote

$135K - $180K/yr

Other

Posted 28 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.