ZipRecruiter

Log In

1

Senior 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 gets answers from its data. We're moving from a sprawling Looker footprint to a set of certified ...

Orchard

Senior Analytics Engineer

Denver, CO · On-site

$135K - $180K/yr

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 ...

Programmers.io

Lead Data Insight Analyst

Denver, CO · On-site

Looking for a senior analytics lead who can drive insights and influence decisions. Key Requirements: • Strong analytics and insight generation • SQL and Python expertise • Reporting and ...

next page

Showing results 1-20

All JobsSenior Analytics Engineer JobsSenior Analytics Engineer Jobs in Colorado

Senior Analytics Engineer information

See Colorado salary details

$62.6K

$133.1K

$193K

How much do senior analytics engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for senior analytics engineer in Colorado is $133,077.00, according to ZipRecruiter salary data. Most workers in this role earn between $109,900.00 and $150,900.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior Analytics Engineers with extensive experience, advanced skills in data modeling, and proficiency in tools like SQL, Python, or cloud platforms can earn $300,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work in competitive industries such as finance or technology.

What is a Senior Analytics Engineer?

A Senior Analytics Engineer is a data professional who bridges the gap between data engineering and data analysis. They design, build, and maintain data pipelines, data models, and analytics infrastructure to ensure that data is reliable, accessible, and well-structured for analysis. Typically, they work with tools like SQL, dbt, and cloud data warehouses, collaborating closely with data analysts and business stakeholders to deliver actionable insights. Their role often involves optimizing data workflows, implementing best practices, and mentoring junior team members.

What does a senior analytics engineer do?

A senior analytics engineer designs, develops, and maintains data pipelines and analytics solutions to support business decision-making. They work with large datasets, use tools like SQL, Python, or cloud platforms, and often mentor junior team members to ensure data quality and efficiency.

How much do senior analytics engineers make in the US?

Senior analytics engineers in the US typically earn between $100,000 and $140,000 annually, with salaries varying based on experience, location, and industry. They often work with tools like SQL, Python, and data visualization platforms, and may receive additional compensation such as bonuses or stock options.

What is the difference between Senior Analytics Engineer vs Data Engineer?

AspectSenior Analytics EngineerData Engineer
Required CredentialsBachelor's/Master's in CS, Analytics, or related; SQL, Python, data visualization skillsBachelor's/Master's in CS, Data Engineering, or related; SQL, Python, ETL tools skills
Work EnvironmentFocus on data analysis, reporting, and insights; collaborates with data teams and business unitsFocus on data pipeline development, infrastructure, and storage; works closely with data infrastructure teams
Employer & Industry UsageUsed across tech, finance, healthcare, and retail for analytics rolesCommon in tech, finance, and data-driven industries for building data systems

While both roles require strong SQL and Python skills, Senior Analytics Engineers primarily focus on analyzing data, creating reports, and deriving insights for business decisions. Data Engineers build and maintain the data infrastructure, pipelines, and storage systems. The roles often collaborate but serve different functions within data teams.

What are the key skills and qualifications needed to thrive as a Senior Analytics Engineer, and why are they important?

To thrive as a Senior Analytics Engineer, you need strong expertise in data modeling, SQL, data warehousing, and analytics, typically backed by a degree in computer science, mathematics, or a related field. Proficiency with tools such as dbt, Python, cloud data platforms (like Snowflake or BigQuery), and experience with BI tools are commonly required, along with certifications in analytics or cloud technologies being a plus. Excellent problem-solving, communication, and stakeholder management skills help you translate business requirements into robust data solutions. These skills ensure data integrity, drive actionable insights, and support effective decision-making across the organization.

What engineer makes $500,000 a year?

Senior Analytics Engineers can earn $500,000 or more annually, especially with extensive experience, advanced skills in data modeling, SQL, and tools like Python or Spark, and in high-demand industries or senior leadership roles. Compensation varies based on location, company size, and individual expertise.

How does a Senior Analytics Engineer typically collaborate with data scientists and business stakeholders?

Senior Analytics Engineers play a vital role in bridging the gap between raw data and actionable insights. They work closely with data scientists to ensure that data pipelines and models are robust, scalable, and well-documented. Additionally, they frequently meet with business stakeholders to understand reporting needs and translate them into technical requirements, ensuring that analytics solutions align with organizational goals. This collaborative approach helps maintain data quality and accelerates the delivery of meaningful analyses across teams.
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 Senior Analytics Engineer jobs in Colorado? For Senior Analytics Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Senior Analytics Engineer jobs in Colorado look for? The top searched job categories for Senior Analytics Engineer jobs in Colorado are:
What cities in Colorado are hiring for Senior Analytics Engineer jobs? Cities in Colorado with the most Senior Analytics Engineer job openings:
Senior Analytics Engineer jobs near you

Senior Analytics Engineer

Orchard

Denver, CO • On-site, Remote

$135K - $180K/yr

Other

Posted 24 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. 

Apply