ZipRecruiter

Log In

2

Remote Data Engineer Jobs in Lafayette, CO (NOW HIRING)

Booz Allen Hamilton, Inc.

Data Engineer, Mid

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247098 Location: Aurora,CO,US Share job via: Share Data Engineer, Mid The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets held ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Ookla

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Releady

Data Engineer, Principal

Denver, CO · On-site +1

$85 - $95/hr

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 ...

Ziff Davis

Data Engineer

Denver, CO · On-site +1

$85K - $125K/yr

As a data engineer you will be focused on developing jobs, libraries and operations to support data scientists and analysts as they discover new and exciting ways to apply our data. Applicants should ...

Releady

Data Engineer, Senior

Denver, CO · On-site +1

$60 - $70/hr

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 ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$77K - $176K/yr

Remote Work: No Job Number: R0247077 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247097 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Booz Allen Hamilton, Inc.

Data Engineer, Senior

Aurora, CO · On-site +1

$99K - $225K/yr

Remote Work: No Job Number: R0247096 Location: Aurora,CO,US Share job via: Share Data Engineer, Senior The Opportunity: As a data engineer, you're excited at the prospect of unlocking the secrets ...

Gusto, Inc.

Senior Data Engineer

Denver, CO · On-site +1

$190K - $220K/yr

The Data Engineering team builds tools and systems that make Gusto's data consistent, user-friendly, and helpful. This helps our teams make decisions using data and provide intelligent, customized ...

Modivcare, Inc.

Cloud Data Warehouse Engineer III

Denver, CO · Remote

$57.50 - $76.75/hr

As a Cloud Data Warehouse Engineer, you'll build scalable data pipelines, cloud data warehouse ... Work effectively with remote and offshore teams to deliver data platform initiatives. We are ...

Booz Allen Hamilton, Inc.

Data Scientist, Lead

Aurora, CO · On-site +1

$112K - $257K/yr

Remote Work: No Job Number: R0246466 Location: Aurora,CO,US Share job via: Share Data Scientist ... engineering, or data warehousing, or Master's and 12+ years of experience with scientific ...

next page

Showing results 1-20

All JobsData Engineer JobsRemote Data Engineer JobsRemote Data Engineer Jobs in Lafayette, CO

Remote Data Engineer information

See Lafayette, CO salary details

$46.3K

$135.1K

$184.8K

How much do remote data engineer jobs pay per year?

As of Aug 30, 2026, the average yearly pay for remote data engineer in Lafayette, CO is $135,058.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,200.00 and $143,200.00 per year, depending on experience, location, and employer.

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 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 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.

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 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.

Are remote data engineers still in demand?

Remote data engineers are currently in high demand due to the increasing reliance on data-driven decision making and cloud-based data platforms. Skills in SQL, Python, cloud services, and data pipeline tools are highly sought after, and many organizations continue to hire for remote roles to access a broader talent pool.

Can a remote data engineer work remotely?

Yes, remote data engineers can work remotely, as the role primarily involves managing data pipelines, databases, and cloud-based tools that can be accessed from anywhere with an internet connection. Many companies offer remote positions for data engineers, often requiring skills in SQL, Python, cloud platforms, and data architecture. However, some roles may require occasional on-site presence or specific certifications depending on the employer's policies.
More about Remote Data Engineer jobs

What are the most commonly searched types of Data Engineer jobs in Lafayette, CO?

The most popular types of Data Engineer jobs in Lafayette, CO are:

What job categories do people searching Remote Data Engineer jobs in Lafayette, CO look for?

The top searched job categories for Remote Data Engineer jobs in Lafayette, CO are:

What cities near Lafayette, CO are hiring for Remote Data Engineer jobs?

Cities near Lafayette, CO with the most Remote Data Engineer job openings:

Remote Data Engineer jobs near you
Infographic showing various Remote Data Engineer job openings in Lafayette, CO as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $135,058 per year, or $64.9 per hour.

DATA ENGINEER

Boulder, CO • Remote

Fluid Consulting Services
11 - 50 employees
Learn more about Fluid Consulting Servicesexternal

$130K/yr

Full-time

Re-posted 13 days ago

Job description

Our client is looking for a Data Engineer to overhaul and expand the systems that power analytics and internal operations. This role centers on upgrading legacy workflows, strengthening reliability, and building scalable pipelines.

Key Responsibilities

  • Develop and maintain data ingestion pipelines feeding into BigQuery
  • Replace outdated ETL/ELT processes with modern solutions
  • Set up monitoring, alerting, and workflow visibility
  • Contribute to orchestration design and implementation (Airflow, Dagster, Prefect)
  • Support DBT development and CI/CD practices
  • Tune BigQuery performance and manage access/security controls
  • Maintain documentation, data flow diagrams, and catalogs

Required Experience

  • 3+ years in data engineering
  • Strong SQL skills with BigQuery, Snowflake, or Redshift
  • Hands-on work with orchestration tools
  • Familiarity with GCP services (Cloud SQL, Pub/Sub, Cloud Storage)
  • Experience with DBT, Docker, CI/CD pipelines
  • Ingestion tooling experience (e.g., Fivetran)
  • Knowledge of data governance or SOC 2 standards

Tech Stack Snapshot

BigQuery, DBT/DBT Cloud, Fivetran, Datastream, GCP (Pub/Sub, Cloud Storage, CloudSQL), Databricks, Omni, Amplitude, Hightouch, Datadog

Compensation

Starting around $130K OTE, adjusted for experience and location.

Location

U.S. remote (limited state availability).

Apply