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Databricks Data Engineer Jobs in Colorado (NOW HIRING)

Data Engineer

Denver, CO

$117K - $141K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data ... This role requires leveraging AWS native technologies and Databricks for data transformations and ...

AWS Data Engineer

CO · On-site +1

$114K - $137K/yr

Job Brief As an AWS Data Engineer, your role will be to design, develop, and maintain scalable data ... This role requires leveraging AWS native technologies and Databricks for data transformations and ...

AI Data Engineer

Denver, CO · On-site

$117K - $141K/yr

AI Data Engineer: Location: Denver, CO Experience: 2-5 Years Job Summary We are seeking an AI Data ... Apache Spark * Snowflake or Databricks * AWS/Google Cloud Platform/Azure * Vector Databases ...

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms ...

Senior Data Architect

Boulder, CO

$66 - $88.25/hr

Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms ...

Senior Data Architect

Boulder, CO · On-site

$66 - $88.25/hr

Microsoft Fabric (OneLake, Lakehouse, Data Factory, Power BI),Databricks (data engineering, SQL, notebooks, app/backend integration patterns)Enterprise data warehouses and lakehouse platforms ...

Data Engineer

Denver, CO

$120K - $160K/yr

Experience with ETL and data warehousing like Databricks, Snowflake, or equivalent. * Container ... a Data Engineer to join us as we work to shape the way businesses perceive and navigate global ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... capabilities. * Operations: Review solution performance, and continually assess health of systems.

Principal Data Engineer

Boulder, CO · On-site

$120K - $165K/yr

As a Principal Data Engineer, you will lead a team in building and maintaining scalable, reliable ... Redshift, Databricks), and cloud storage * Expertise in KSQL, ClickHouse, ETL/ELT tools (e.g ...

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

Data Engineer

Denver, CO · On-site

$120K/yr

The Data Engineer supports the digital transformation of our manufacturing operations, translating ... Experience with cloud-based data lake platforms such as Databricks, Microsoft Azure, Hadoop, AWS ...

AI Engineer

Denver, CO

$110K - $150K/yr

The AI Engineer is responsible for the development of AI solutions, typically leveraging pretrained ... Knowledge of big data technologies such as Spark and Databricks; familiarity with TensorFlow and ...

... Data Engineer - Manager, you will play a pivotal role in transforming raw data into actionable ... Databricks and Snowflake - Guiding team members in data architecture development and database ...

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Senior Data Engineer

Denver, CO

$109K - $148K/yr

Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems * Cross-team Collaboration:

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

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Showing results 1-20

Databricks Data Engineer information

See Colorado salary details

$46.8K

$136.4K

$186.6K

How much do databricks data engineer jobs pay per year?

As of Jun 23, 2026, the average yearly pay for databricks data engineer in Colorado is $136,399.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,400.00 and $144,600.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

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

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Colorado? The most popular types of Databricks Data Engineer jobs in Colorado are:
What are popular job titles related to Databricks Data Engineer jobs in Colorado? For Databricks Data Engineer jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Colorado look for? The top searched job categories for Databricks Data Engineer jobs in Colorado are:
What cities in Colorado are hiring for Databricks Data Engineer jobs? Cities in Colorado with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Colorado as of June 2026, with employment types broken down into 1% As Needed, 98% Full Time, and 1% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $136,399 per year, or $65.6 per hour.
Data Engineer

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago


Job description

Ibotta is looking for a software-focused Data Engineer to join our team and contribute to our mission to Make Every Purchase Rewarding. As a key contributor within the Data Platform Organization, you will join our newly formed Data Intelligence Squad to make Ibotta's data AI-ready.


We are looking for a highly motivated data engineer who cares about the craft of clean, well-governed data and understands why it matters more than ever in an AI-driven environment. You'll work on the data contract and metadata standards that underpin everything the squad builds, the compliance tooling that keeps Ibotta's data estate clean and auditable, and the pipelines that feed our AI readiness scoring system. You'll grow into LLM application development and semantic layer work as the team evolves.


This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States.


Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one.


What you will be doing:

  • Data Contract and Metadata Standards: Implement and maintain data contract specifications that codify table ownership, schema expectations, and quality thresholds; enforce standards through automated validation in the deployment pipeline; collaborate with data owners to improve metadata coverage across the team's data estate

  • AI Readiness Scoring: Contribute to an automated scoring pipeline that evaluates data assets on their readiness for AI and analytical use; build and maintain the jobs that collect quality signals and surface scores to data teams

  • AI Governance and Compliance: Support the discovery and classification of sensitive data across the data estate; maintain tagging and lineage automation frameworks; help translate data access and privacy policies into practical guardrails in partnership with the platform team; monitor AI usage across the company, defining new avenues for AI assistance

  • AI Trust and Reliability: Build the systems that make people actually trust what the AI tells them about our data, such as query accuracy checks, guardrails that keep AI tools on certified data, and clear attribution so users can see where an answer came from; make sure we have the monitoring in place to catch problems before they erode confidence.

  • Semantic Layer Contributions: Build and maintain the semantic framework that make data assets more legible to both people and AI systems, adding descriptions, context, and query guidance that improve the accuracy of natural language queries; work with analysts and domain experts to capture and formalize business definitions

  • AI-Augmented Development: Proactively leverage AI tools (e.g., Claude, Databricks Genie) to accelerate development, maintain code quality, and explore new approaches to data engineering problems

  • Cross-team Collaboration: Partner with adjacent teams to onboard data assets into the AI-ready platform, document processes and contribute to the team's shared knowledge base

  • Embrace and uphold Ibotta's Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency, and A good idea can come from anywhere.


What we are looking for:

  • Experience: 3+ years of software engineering experience with a focus on data engineering, analytics engineering, or backend development.

  • Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and familiarity with medallion architecture (bronze/silver/gold) or similar layered data design patterns.

  • Semantic Modeling: Experience implementing semantic layers to ensure AI agents utilize governed, consistent metric definitions rather than querying raw tables directly

  • Data Governance: Understanding of data governance concepts (metadata standards, data ownership, schema enforcement, access control) and experience keeping data assets clean and well-documented.

  • Data Quality Fundamentals: Experience with schema validation, data freshness monitoring, data observability tooling, or similar quality practices.

  • AI Tooling: Experience using and/or building LLMs, NQLs, and other AI-related toolings, especially in relation to data analytics. Proficiency in AI-assisted coding platforms (Claude, Copilot, Cursor, etc.) a plus.

  • Education: Bachelor's degree in Computer Science, Engineering, or a related field.

Experience with the following a strong plus:

  • Experience with data catalog, metadata management, or data transformation tooling

  • Exposure to data privacy, classification, or compliance requirements in a data context

  • Familiarity with configuration-as-code or automated deployment workflows

  • Experience with data observability or data quality monitoring

  • Agile development experience

About Ibotta ("I bought a...")

Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop - all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine.

To learn more about what our Tech teams are doing day to day, visit Building Ibotta on Medium.com.

  • This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match.Denver office perks include paid parking, snacks and occasional meals.

  • Base compensation range: $110,000 - $126,000. Total compensation for this role also includes a variable component in addition to base salary. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience.

  • Ibotta is an Equal Opportunity Employer. Ibotta's employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status.

  • Applicants must be currently authorized to work in the United States on a full-time basis.

  • Applicants are accepted until the position is filled.

  • For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels.

Recruiting Agency Notice

Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees.

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