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Remote Technical Science Jobs in Colorado (NOW HIRING)

Alignerr

Computer Engineering

Denver, CO · Remote

$35 - $60/hr

Remote About the job At Alignerr, we partner with the world's leading AI research teams and labs to ... Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$127K - $167.50K/yr

... Computer Science, or related technical field * 8+ years of experience developing numerical ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

SciTec

Senior Numerical Algorithm Software Engineer

Boulder, CO · On-site +1

$128.90K - $170K/yr

... Computer Science, or related technical field * 8+ years of experience developing numerical ... Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or ...

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Remote Technical Science information

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

To thrive as a Remote Technical Scientist, you need a solid background in scientific research or engineering, analytical problem-solving, and typically a relevant bachelor's or advanced degree. Familiarity with laboratory information management systems (LIMS), data analysis software like Python or R, and remote collaboration tools is highly valuable. Excellent communication, self-motivation, and adaptability are key soft skills for remote teamwork and independent research. These skills and qualities are essential for ensuring accurate scientific outcomes, effective virtual collaboration, and productivity outside traditional lab environments.

What are some common challenges faced by professionals working in remote technical science roles, and how can they be addressed?

Remote technical science professionals often encounter challenges such as maintaining effective communication with colleagues, accessing specialized equipment, and staying engaged with ongoing research. To address these, it's important to utilize collaborative tools like video conferencing and shared digital workspaces, proactively schedule regular meetings, and coordinate closely with on-site teams to ensure timely access to necessary resources. Additionally, setting clear goals and maintaining transparent documentation can help bridge the gap between remote and in-person work, fostering a productive and connected team environment.

What is a Remote Technical Science job?

A Remote Technical Science job involves applying scientific principles and technical skills to solve problems, conduct research, or develop products, all while working from a location outside of a traditional office or laboratory. These professionals often use digital tools to collaborate with teams, analyze data, write reports, and communicate findings. Common roles include data analysts, research scientists, or technical consultants specializing in fields such as biology, chemistry, engineering, or environmental science. Remote Technical Science positions allow for flexibility and can be found in academia, private industry, or government organizations.
What are popular job titles related to Remote Technical Science jobs in Colorado? For Remote Technical Science jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Remote Technical Science jobs in Colorado look for? The top searched job categories for Remote Technical Science jobs in Colorado are:
Remote Technical Science jobs near you
Mainly Remote to Denver Data Engineer - Staff Consultant

Mainly Remote to Denver Data Engineer - Staff Consultant

Datalere

Denver, CO • On-site, Remote

Full-time

Posted 17 days ago

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

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