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Dbt Data Engineer Jobs in Highlands Ranch, CO (NOW HIRING)

Digible

Senior Analytics Engineer

Englewood, CO · On-site

$103K - $141K/yr

Where our Data Engineers own ingestion and the Bronze layer, you own the path from modeled data to ... Have experience across the modern data stack (we use dbt, Snowflake, Fivetran, Prefect) and an ...

Talanto

BI Engineering, Manager

Denver, CO · On-site

$140 - $190/hr

Design and implement complex data models using SQL query in dbt to support dashboards and ad hoc ... Engineer, or a closely related occupation.Special Requirements: Two (2) of the five (5) years of ...

New

Deloitte

Senior Forward Deployed Engineer- AWS

Denver, CO · On-site

$107K - $147K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Lead Forward Deployed Engineer - AWS

Denver, CO

$105K - $139K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Deloitte

Forward Deployed Engineer- AWS

Denver, CO

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Angi

Principal Analytics Engineer

Denver, CO · Remote

$165K - $240K/yr

Data Product Ownership: Design, build, and evolve high-scale dbt models that transform raw upstream ... Collaborate with data and analytics engineering peers to establish and maintain global patterns ...

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All JobsDbt Data Engineer JobsDbt Data Engineer Jobs in Highlands Ranch, CO

Dbt Data Engineer information

See Highlands Ranch, CO salary details

$46.7K

$136.2K

$186.3K

How much do dbt data engineer jobs pay per year?

As of Sep 3, 2026, the average yearly pay for dbt data engineer in Highlands Ranch, CO is $136,152.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,200.00 and $144,300.00 per year, depending on experience, location, and employer.

What is a dbt data engineer?

Dbt Data Engineers are professionals who specialize in using dbt (data build tool) to transform, test, and document data within modern data warehouses. They build and maintain data pipelines by writing SQL-based transformation scripts and ensuring data quality through automated testing. Dbt Data Engineers collaborate closely with analytics teams to create reliable, well-documented datasets that support business intelligence and analytics initiatives.

How does a dbt data engineer typically collaborate with data analysts and other stakeholders?

As a Dbt Data Engineer, you'll work closely with data analysts, business intelligence teams, and sometimes product managers to translate business requirements into reliable, well-structured data models. Collaboration often involves reviewing transformation logic, ensuring data quality, and providing documentation or training on Dbt models. You may also participate in regular stand-ups or data modeling sessions to align on priorities and address data challenges collaboratively. Effective communication skills are key, as you'll bridge the gap between raw data and actionable insights.

What are the key skills and qualifications needed to thrive as a dbt data engineer, and why are they important?

To thrive as a Dbt Data Engineer, you need strong SQL skills, experience in data modeling, and a solid understanding of ELT/ETL pipelines, often supported by a degree in computer science or a related field. Familiarity with dbt (data build tool), version control systems like Git, and cloud data platforms such as Snowflake or BigQuery is typically required. Attention to detail, problem-solving abilities, and effective collaboration are essential soft skills for this role. These skills ensure robust, scalable, and maintainable data transformations that drive reliable analytics and business insights.

What is the difference between Dbt Data Engineer vs Data Analyst?

AspectDbt Data EngineerData Analyst
Primary FocusBuilding and maintaining data transformation pipelines using dbtAnalyzing data to generate reports and insights
Skills & ToolsSQL, dbt, ETL pipelines, cloud platformsSQL, Excel, BI tools, data visualization
Work EnvironmentData engineering teams, cloud data platformsBusiness units, reporting teams
CertificationsSQL, cloud certifications, dbt trainingData analysis, visualization certifications

While both roles work with data and SQL, Dbt Data Engineers focus on developing scalable data transformation pipelines using dbt, whereas Data Analysts primarily analyze data to produce reports and insights. The roles complement each other within data teams but differ in technical scope and responsibilities.

What are popular job titles related to Dbt Data Engineer jobs in Highlands Ranch, CO?

For Dbt Data Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:

What job categories do people searching Dbt Data Engineer jobs in Highlands Ranch, CO look for?

The top searched job categories for Dbt Data Engineer jobs in Highlands Ranch, CO are:

What cities near Highlands Ranch, CO are hiring for Dbt Data Engineer jobs?

Cities near Highlands Ranch, CO with the most Dbt Data Engineer job openings:

Dbt Data Engineer jobs near you

Sr. Data Ops/Data Platform Administrator

SM-Energy Company

Denver, CO • On-site

$121K - $150K/yr

Full-time

Medical, Retirement

Re-posted 15 days ago

Job description

We are looking for a Senior DataOps/Data Platform Administrator to manage and maintain our hybrid data ecosystem. This is a hands-on role focused on the stability, performance, and day-to-day operations of both our on-premises and cloud-based data tools. You will be the primary gatekeeper of our data infrastructure, ensuring that our systems —from Source to Delivery—are available, performant, and secure. Your goal is to manage the environment so effectively that our data engineers can focus entirely on building data products within a stable, secure framework.

Primary Responsibilities

On-Premises Administration (Denodo and SQL Server)

  • System Maintenance: Execute regular upgrades, patching, and configuration of VDP servers to ensure environment stability.
  • Operational Health: Monitor system uptime and manage environment-specific settings across Dev, QA, and Production.
  • Performance Tuning: Manage caching and resource allocation to maintain optimal query speeds for the business.
  • Troubleshooting: Act as the Tier 3 point of escalation for any data connectivity or performance issues.

Cloud Platform Administration (Snowflake & Databricks)

  • Access Control: Day-to-day management of Role-Based Access Control (RBAC), user provisioning, and security integrations.
  • Cost Management: Monitor Snowflake credit usage and Databricks consumption; manage resource monitors and alerting to prevent budget overages.
  • Service Maintenance: Oversee the operational health of cloud services.

Orchestration & Transformation Support (Astro/Airflow, Fivetran and dbt Cloud)

  • Environment Management: Manage deployments for Astro/Airflow, ensuring environment variables and secrets are correctly configured and updated.
  • Job Oversight: Monitor dbt Cloud job runs, manage environment configurations, and troubleshoot integration issues between dbt and Snowflake.
  • CI/CD Maintenance: Maintain existing CI/CD pipelines to ensure code moves from development to production without manual intervention.

Platform Reliability & Guardrails

  • Operational Standards: Maintain the "guardrails"—security policies, naming conventions, and deployment standards—that keep the platform organized.
  • Documentation: Keep system documentation, environment diagrams, and administrative procedures up to date.
  • Support: Ensure the data engineering team has the necessary permissions and stable environments required to meet their delivery timelines.

Technical Profile

  • Experience: 5+ years in a Systems Admin, Database Admin (DBA), or DataOps role.
  • Denodo Admin: Practical experience managing on-prem Denodo with a focus on data delivery and performance tuning.
  • Cloud Admin: Strong administrative background in Snowflake (managing warehouses, roles, and usage) and familiarity with Databricks.
  • Tooling: Proficient in dbt Cloud, Fivetran, and Airflow.
  • Skills: Strong understanding of SQL, Git/DevOps, and basic CI/CD pipeline maintenance.

Why This Role?

This is a critical "Specialist" position. You will own the health of a sophisticated, high-growth data stack. If you enjoy the challenge of managing a hybrid environment and take pride in building highly available, "bulletproof" systems, this is the role for you.


SM Energy offers competitive compensation and benefits programs which include, but are not limited to, variable pay, health care coverage, retirement plan, protection coverage, time off and leave programs, training and development opportunities and a range of allowances connected to specific work situations. Details are available at Careers :: SM Energy Company (SM) (sm-energy.com).

Applications will be accepted on an ongoing basis until the position is filled.