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Remote Implementation Science Jobs in Colorado (NOW HIRING)

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ... implement AI/ML algorithms to solve computer vision problems in remote sensing Analyzing and pre ...

Senior Data Engineer

Denver, CO · Remote

$109K - $148K/yr

Sr. Data Engineer Mountain View, CA / Denver, CO / Remote Full-Time Position Summary: We are ... Design and implement data processing pipelines * Integrate data from multiple data sources, develop ...

Senior Data Engineer

Denver, CO · Remote

$109K - $148K/yr

Sr. Data Engineer Mountain View, CA / Denver, CO / Remote Full-Time Position Summary: We are ... Design and implement data processing pipelines * Integrate data from multiple data sources, develop ...

Science Time Type: Full time Minimum Clearance Required to Start: TS/SCI Employee Type: Regular ... implement AI/ML algorithms to solve computer vision problems in remote sensing Analyzing and pre ...

Our work is performed by our professional staff, scientists and engineers at remote sites, embedded ... Implement company policy and procedures, including quality, safety, recruiting and risk management

Showing results 21-40

Remote Implementation Science information

What is the difference between Remote Implementation Science vs Remote Health Program Coordinator?

AspectRemote Implementation ScienceRemote Health Program Coordinator
Required CredentialsMaster's or PhD in public health, healthcare, or related fields; knowledge of research methodsBachelor's degree in health administration, public health, or related fields; experience in healthcare coordination
Work EnvironmentFocus on research, data analysis, and strategy development in healthcare settingsManage health programs, coordinate activities, and liaise with stakeholders remotely
Employer & Industry UsageAcademic institutions, research organizations, healthcare agenciesHospitals, clinics, public health departments

Remote Implementation Science professionals focus on applying research findings to improve healthcare practices through data analysis and strategy development. In contrast, Remote Health Program Coordinators manage and coordinate health programs, ensuring smooth operations and stakeholder communication. While both roles work remotely in healthcare, their core responsibilities and required qualifications differ significantly.

What are the most commonly searched types of Implementation Science jobs in Colorado?

The most popular types of Implementation Science jobs in Colorado are:

What job categories do people searching Remote Implementation Science jobs in Colorado look for?

The top searched job categories for Remote Implementation Science jobs in Colorado are:

What cities in Colorado are hiring for Remote Implementation Science jobs?

Cities in Colorado with the most Remote Implementation Science job openings:

Infographic showing various Remote Implementation Science job openings in Colorado as of August 2026, with employment types broken down into 1% Internship, 1% As Needed, 73% Full Time, 22% Part Time, and 3% Contract. Highlights an 77% Physical, 3% Hybrid, and 20% Remote job distribution.

Mainly Remote to Denver Data Engineer - Staff Consultant

Datalere

Denver, CO • On-site, Remote

$90K - $140K/yr

Full-time

Re-posted 23 days ago


Key responsibilities

  • Design, develop, and maintain scalable data pipelines and ETL processes to meet client needs.

  • Create and optimize SQL queries for data extraction, transformation, and loading, and troubleshoot data-related issues.

  • Design and implement dimensional models and data schemas to support data warehousing and business intelligence initiatives.


Job description

We are looking for an experienced Data Engineer Consultant to join our team. The ideal candidate will possess strong SQL development skills, expertise in data visualization, and solid knowledge of dimensional modeling. As a Data Engineer Consultant, you will work closely with our clients to design, develop, and optimize their data infrastructure, ensuring the delivery of high-quality data solutions that meet business requirements.

This role is a mainly remote one for candidates who are relatively close to the Metro Denver area. Intermittent/occasional onsite work in Denver should be expected.

Please also note that we are somewhat stack agnostic, so those with classically defined data engineering skills (ETL Modeling and Design, Data Pipelines, Relevant Builds, etc.) are encouraged to apply regardless of tech stack.

Please also note we are unable to sponsor or take over sponsorship of an employment Visa at this time. This is to include sponsorship down the road.

Key Responsibilities:

  1. Data Infrastructure Development (ETL, SQL):
    • Design, build, and maintain scalable data pipelines and ETL processes tailored to client needs.
    • Develop and optimize complex SQL queries for data extraction, transformation, and loading.
    • Diagnose and troubleshoot data-related issues, providing quick and effective resolutions.
    • Analyze data workflows and identify areas for improvement, recommending and implementing solutions to optimize performance.
    • Utilize a proactive approach to foresee potential problems and address them before they impact clients' operations.
  2. Dimensional Modeling and Data Modeling:
    • Design and implement dimensional models to support data warehousing and business intelligence initiatives.
    • Design and implement different data modeling techniques to meet business' data demands that align with data architecture design.
    • Develop and maintain data schemas, ensuring data integrity and consistency for clients.
  3. Data Visualization:
    • Create and maintain dashboards and reports using data visualization tools to provide actionable insights.
    • Train clients on best practices for using data visualization tools to maximize value.
  4. Client Consultation:
    • Engage with clients to understand their data needs and business objectives.
    • Conduct detailed requirements analysis and provide recommendations for data infrastructure improvements.
    • Work closely with client teams, data scientists, analysts, and other stakeholders to understand data needs and provide technical support.
    • Communicate complex technical concepts to non-technical stakeholders in a clear and concise manner.

Qualifications:

  • Bachelor's degree in computer science, Information Technology, or a related field.
  • 3+ years of experience in data engineering, data warehousing, or a similar role.
  • Strong proficiency in SQL
  • Proven experience with data visualization tools and theory.
  • In-depth knowledge of dimensional modeling concepts and techniques.
  • Familiarity with ETL tools and processes.
  • Strong problem-solving skills and attention to detail
  • Experience with cloud-based data platforms
  • Excellent communication and collaboration skills, with the ability to work effectively with clients.

The desired salary range for this position is $90,000 - $140,000 per year. This is a full time role with the practice.

About Us

At Datalere, we work with our clients to transform their enterprise through the use of modern compute technologies and proven deployment processes providing cost effective durable solutions for the competitive world.
If you are seeking new challenges, interested in staying up to date with the latest releases and can deliver uncompromised service to our customers, then we'd like to hear from you. If you are interested and meet the above qualifications, please submit your resume and cover letter indicating your interest to join our team.

Employment Type: FULL_TIME