ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Highlands Ranch, CO

Releady

Data Engineer, Consultant

Denver, CO · On-site +1

$140K - $160K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through ...

Janus Henderson Investors

Data Engineer

Denver, CO · On-site +1

$169K/yr

Janus Henderson Investors US, LLC seeks a Data Engineer in Denver, CO responsible for the design ... Remote work permitted 2 days a week. Requirements: Bachelor's degree in Information Systems ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$170K - $190K/yr

Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ... Act as a technical thought leader, advocating for modern data engineering patterns, tools, and ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$140K - $170K/yr

The Data Engineer, Senior is a hands-on technical leader who ensures production readiness and ... Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD ...

Viasat, Inc.

Data Engineer

Englewood, CO · On-site +1

$174K - $261K/yr

Our mission is to enable our community of data scientists, analysts, and developers to derive faster insights and reduce TTM in order to fuel Viasat growth. The day-to-day In this Software Engineer ...

Polar IT Services

AWS Data Engineer

Greenwood Village, CO · On-site +1

$115K - $139K/yr

AWS Data Engineer Location: Greenwood Village, CO Mode Of Work: 4 Days Onsite W2 Role Visa: GC, GC EAD, H4 EAD & USC only Overview: We are partnering with a leading enterprise client to hire a Senior ...

Ennoble Care

Director of Data Engineering

Denver, CO · Remote

$117K - $141K/yr

Ennoble Care offers a variety of programs including, remote patient monitoring, behavioral health ... engineer faster and more reliably. You'll own our large-scale analytics platform and web app ...

UDR Inc

Senior Data Platform Engineer

Littleton, CO · Remote

$130K - $170K/yr

UDR, Inc. is now hiring a Senior Data Platform Engineer to join our team ... This is a remote based position.** GENERAL SUMMARY OF DUTIES: Design, build, and maintain UDR ...

Generac

Sales Engineer - Data Centers

Denver, CO · On-site +1

The Sales Engineer - Data Centers works under the guidance of the Senior Director of Sales - Data ... This position will be remote/hybrid, and the ideal candidate will need to live near a major airport ...

KORE1 Technologies

Head of Data Platform

Denver, CO · Remote

... remote. Why This Role Exists We operate a large-scale, multi-tenant SaaS platform supporting ... These systems rely on scalable feature engineering, real-time data pipelines, model infrastructure ...

Owens & Minor

Senior Manager, Data Engineering

Denver, CO · On-site +1

$140K - $155K/yr

The role is fully remote. Applicants in different states are encouraged to apply. Key Responsibilities Leadership & Team Management - Lead, mentor, and develop a team of data engineers and BI ...

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Highlands Ranch, CO

Remote Data Engineer information

See Highlands Ranch, CO salary details

$46.7K

$136.2K

$186.3K

How much do remote data engineer jobs pay per year?

As of Jul 27, 2026, the average yearly pay for remote 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 Does a Remote Data Engineer Do?

As a remote data engineer, you focus on collecting, storing, and organizing large amounts of information. You work from home to design, develop, and maintain systems for the mining, warehousing, and processing of data. A data engineer communicates with employers, clients, or other data professionals to assess the needs of the project and develop and implement solutions to meet those needs. Data engineers also take steps to manage current database architecture and make updates when needed. Remote engineers typically handle their responsibilities in a cloud-based environment using “big data” tools, such as Amazon Web Services (AWS) and SQL.

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

AspectRemote Data EngineerRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related; SQL, Python, cloud certificationsBachelor's in Statistics, Data Science, or related; SQL, Excel, visualization tools
Work EnvironmentCollaborates with data engineering teams, cloud platforms, big data toolsWorks with business teams, dashboards, reporting tools
Industry UsageTech, finance, healthcare, e-commerceMarketing, finance, retail, healthcare
Common Search IntentBuilding data pipelines, data infrastructureData reporting, insights, visualization

Remote Data Engineers focus on designing and maintaining data pipelines and infrastructure, often requiring programming and cloud skills. Remote Data Analysts interpret data, create reports, and provide insights using visualization tools. While both roles work with data, their responsibilities and skill sets differ, making each suited for different career paths within data teams.

How do remote Data Engineers typically collaborate with other team members across different time zones?

Remote Data Engineers often work with cross-functional teams, including data scientists, analysts, and software engineers, many of whom may be located in different parts of the world. Collaboration is usually facilitated through project management tools, version control platforms, and regular virtual meetings. It’s common to have a mix of synchronous check-ins and asynchronous communication, allowing for flexible scheduling and efficient handoffs. Strong written communication skills and proactive status updates are essential for staying aligned with team objectives and project deadlines.

What is a Remote Data Engineer?

A Remote Data Engineer is a professional who designs, builds, and maintains data pipelines, databases, and data processing systems while working from a location outside of a traditional office. They collaborate with data scientists, analysts, and other stakeholders to ensure data is collected, stored, and made accessible efficiently and securely. Remote Data Engineers use programming languages like Python or Scala, work with technologies such as SQL, Hadoop, or cloud platforms, and address challenges related to data quality and scalability. Their remote role allows them to work for companies regardless of geographic location, often relying on virtual collaboration tools to stay connected with their teams.

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

To thrive as a Remote Data Engineer, you need strong programming skills in languages like Python or Scala, expertise in SQL, data modeling, and a background in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Hadoop and Spark), and certifications in cloud or data engineering are highly valued. Excellent problem-solving, communication, and self-management skills help remote data engineers collaborate effectively and stay productive in a distributed environment. These competencies ensure reliable data pipelines, scalable solutions, and seamless teamwork, which are critical for organizational success in data-driven projects.
More about Remote Data Engineer jobs
What are the most commonly searched types of Data Engineer jobs in Highlands Ranch, CO? The most popular types of Data Engineer jobs in Highlands Ranch, CO are:
What are popular job titles related to Remote Data Engineer jobs in Highlands Ranch, CO? For Remote Data Engineer jobs in Highlands Ranch, CO, the most frequently searched job titles are:
What job categories do people searching Remote Data Engineer jobs in Highlands Ranch, CO look for? The top searched job categories for Remote Data Engineer jobs in Highlands Ranch, CO are:
What cities near Highlands Ranch, CO are hiring for Remote Data Engineer jobs? Cities near Highlands Ranch, CO with the most Remote Data Engineer job openings:
Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Highlands Ranch, CO as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 12% Part Time, 1% Temporary, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $136,152 per year, or $65.5 per hour.

Data Engineer, Consultant

Releady

Denver, CO • On-site, Remote

$140K - $160K/yr

Contractor

Posted 5 days ago

Job description

OVERVIEW

Releady is partnering with a leading healthcare technology company to hire a Data Engineer, Consultant for its Data Services team. This organization provides the technology backbone and shared data infrastructure for nonprofit, community, and regional health plans nationwide, unifying clinical, claims, demographic, and provider data into a single governed platform that powers automation and AI deployment across core health plan operations.

This role is a senior individual contributor and technical leader who reports to a Senior Manager or Manager within Data Solutions and drives end-to-end delivery of complex data engineering solutions across cloud data platforms. The Consultant partners closely with Solution Design Leads, Architects, Product Managers, and business stakeholders to translate solution designs and business requirements into scalable, secure, production-ready data products, and provides technical leadership and mentorship without formal people management responsibility.

NOTE: *Must be eligible to work on W2 without sponsorship. Not eligible for C2C.

  • Pay Rate: $70–$80/hr
  • Duration: 6-month contract-to-hire
  • Location: Hybrid or Remote, however must reside in the following states: WA, OH, CA, AZ, CO, CT, FL, GA, MD, MN, NV, OR, AL, IL, VA, WI, TX, NY
RESPONSIBILITIES

Solution Architecture & Delivery

Lead the design and implementation of complex data pipelines and data products from development through production.

Translate solution designs and business requirements into detailed technical architecture and implementation plans.

Architect and build scalable, secure, and highly available data solutions across enterprise data platforms.

Apply advanced data modeling techniques, including Data Vault 2.0, dimensional, and domain-oriented models, to support analytics and reporting needs.

Quality, Security & Operational Excellence

Embed data quality, testing, security, and observability by design across data pipelines.

Drive operational excellence, including incident analysis, stabilization, performance tuning, and deployment optimization.

Identify and implement optimization opportunities related to performance, reliability, and cloud cost management.

Technical Leadership & Standards

Influence and evolve the data engineering standards, patterns, and frameworks used by delivery teams.

Provide technical leadership and mentorship to Data Engineers and Senior Data Engineers through design reviews and code reviews.

Work within an agile / DevSecOps pod model, collaborating closely with solution leads, data modelers, analysts, and business partners.

AI Enablement & Stakeholder Communication

Support integration of AI/ML-ready datasets by ensuring data is well-modeled, reliable, and governed.

Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

QUALIFICATIONS

Bachelor's degree or equivalent experience, with a minimum of seven years of data engineering experience.

Advanced hands-on expertise in SQL, including automation and pipeline optimization.

Strong experience with cloud platforms, Azure preferred, and services such as ADLS, Synapse, and Data Factory.

Extensive experience with modern data platforms including Snowflake and Databricks, and orchestration tools such as Airflow or Tidal.

Deep understanding of data modeling, integration patterns, data architecture, data quality, and data warehousing.

Proven experience implementing CI/CD pipelines, Infrastructure as Code, and DataOps practices.

Strong understanding of security, privacy, and compliance requirements in regulated environments.

Experience working with large-scale, distributed data platforms and parallel processing architecture.

Experience with Airflow or Tidal (migrating from Tidal; comparable orchestration tools considered)

Excellent communication and stakeholder engagement skills, with a proven ability to lead technically without formal people management responsibility.

Healthcare industry experience is preferred, including exposure to Epic or similar ecosystems.

We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status, or other non-merit factor. We are committed to creating a diverse and inclusive environment for all employees.