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Data Engineer Relocation Jobs in Colorado (NOW HIRING)

Ibotta, Inc

Data Engineer

Denver, CO · On-site

$117K - $141K/yr

We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What ... Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and ...

Ibotta

Data Engineer

Denver, CO

$117K - $141K/yr

We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What ... Data Engineering Fundamentals: Proficiency in Python and SQL, knowledge of Databricks, and ...

Infosys

Snowflake Data Engineer

Broomfield, CO · On-site

$115K - $138K/yr

... relocation and/or travel to work/project location. • Candidates authorized to work for any ... data engineering, CI/CD, and governance, and ensure high-quality, production-ready deliverables.

Ibotta

Senior Data Engineer

Denver, CO

$109K - $148K/yr

We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What ... Data Engineering: Expertise in Python, SQL, and Databricks, and experience with medallion ...

Ibotta, Inc

Senior Data Engineer

Denver, CO · On-site

$109K - $148K/yr

We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What ... Data Engineering: Expertise in Python, SQL, and Databricks, and experience with medallion ...

Checkr

Staff Data Engineer

Denver, CO · On-site

$224K - $264K/yr

As a Staff Data Engineer on the People Data team, you'll help build and evolve the centralized ... A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal ...

Infosys

Snowflake Data Engineer

Broomfield, CO · On-site

$74K - $110K/yr

... data engineering solutions using Snowflake, dbt, and Python, ensuring high-performance data ... relocation and/or travel to work/project location. • Candidates authorized to work for any ...

Checkr

Senior Data Engineer

Denver, CO · On-site

$185K - $218K/yr

As a Senior Data Engineer, you'll lead the execution of core services and data pipelines ... A relocation stipend may be available for those willing to relocate to a Checkr hub location. Equal ...

InstantServe LLC

Cloud Engineer

Denver, CO · On-site

$57.50 - $76.75/hr

Senior Operations & Data Engineer (Informatica Specialist); Cloud Engineer Security Clearance: OIT ... Location Requirements Candidate must be local or willing to commute or relocate. No preference ...

AECOM

Data Manager (Oil, Gas, Remediation)

Denver, CO · On-site

Demonstrates strong proficiency in data programming languages. * Demonstrates strong knowledge of ... This position does not include relocation At AECOM, we are committed to maintaining a secure and ...

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Data Engineer Relocation information

What are some common challenges data engineers face when relocating for a new position?

When relocating for a data engineering role, professionals often encounter challenges such as adapting to new data privacy regulations, integrating with local teams, and understanding company-specific data infrastructure. Adjusting to a different work culture and collaborating across time zones can also require flexibility and strong communication skills. Proactively seeking support from HR and technical onboarding resources can help ease the transition and ensure a smooth start in the new environment.

What is a Data Engineer Relocation?

A Data Engineer Relocation refers to the process of a data engineer moving to a new city, state, or country for a job opportunity. Often, companies offer relocation packages or assistance to help data engineers with the costs and logistics of moving. This can include covering moving expenses, temporary housing, and support for settling into a new location. Relocation is common in the tech industry due to the high demand for skilled data engineers in specific regions or at company headquarters.

What is the difference between Data Engineer Relocation vs Data Engineer?

AspectData Engineer RelocationData Engineer
Required CredentialsBachelor's in CS, Data Science, or related field; experience with cloud platformsBachelor's or higher in CS, Data Science, or related; proficiency in SQL, Python, and ETL tools
Work EnvironmentTypically involves relocating to a new city or country; may include remote work optionsUsually based in an office or remote; focuses on data pipeline development
Employer & Industry UsageUsed by companies hiring for international or remote data roles requiring relocationCommon in tech, finance, healthcare industries for data infrastructure roles

In summary, Data Engineer Relocation involves moving to a new location for a data engineering role, often requiring additional logistical planning, while Data Engineer refers to the role itself, which can be based anywhere. Both roles share similar skills and credentials but differ mainly in the relocation aspect.

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

To thrive as a Data Engineer, you need strong skills in data modeling, ETL (Extract, Transform, Load) processes, and proficiency in programming languages such as Python or SQL, typically supported by a degree in computer science or a related field. Familiarity with big data platforms (like Hadoop or Spark), cloud services (such as AWS or Azure), and relevant certifications are highly valued. Excellent problem-solving, communication, and teamwork skills help you collaborate effectively and adapt to evolving data needs. These skills ensure robust data pipelines, reliable analytics, and support for organizational data-driven decision-making.
What are popular job titles related to Data Engineer Relocation jobs in Colorado? For Data Engineer Relocation jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Data Engineer Relocation jobs in Colorado look for? The top searched job categories for Data Engineer Relocation jobs in Colorado are:
Data Engineer Relocation jobs near you
Infographic showing various Data Engineer Relocation job openings in Colorado as of July 2026, with employment types broken down into 87% Full Time, and 13% Contract. Highlights an 71% In-person, 14% Hybrid, and 15% Remote job distribution.
Data Engineer

Data Engineer

Ibotta, Inc

Denver, CO • On-site

$117K - $141K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 24 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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