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Remote Data Optimization Jobs in Colorado (NOW HIRING)

Senior Mechanical Commissioning Engineer (REMOTE)

Denver, CO ยท On-site +1

$107K - $142K/yr

DATA CENTERS & MISSION CRITICAL PROJECTS This position can be remote (work from home) but must live ... Managing commissioning schedules, ensuring optimal team utilization, identifying potential failure ...

Head of Product Led Growth Marketing

Denver, CO ยท On-site +1

$282K - $339K/yr

Remote, United States Employment Type: FullTime Location Type: Remote Department Product ... With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near ...

Account Strategy Director Remote (U.S. only) | $95,000-$110,000 + Benefits About the Role Location3 ... You'll work alongside paid media, SEO, analytics, and technology specialists to build integrated ...

Account Strategy Director

Denver, CO ยท On-site +1

$95K - $110K/yr

Account Strategy Director Remote (U.S. only) | $95,000-$110,000 + Benefits About the Role Location3 ... You'll work alongside paid media, SEO, analytics, and technology specialists to build integrated ...

Senior Media Strategist Location3 | US Remote Position Summary We're seeking a Senior Media ... Own performance end to end across your accounts by driving a disciplined optimization cadence ...

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps ensure faster data retrieval and better decision-making.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

What is remote optimization?

Remote optimization in a data optimization role involves analyzing and improving data processes, storage, and workflows from a remote location. It often requires skills in data analysis tools, programming, and cloud-based platforms to enhance efficiency and accuracy without being on-site.

How can I make 2000 a week working from home?

A remote data optimization professional can earn $2,000 or more weekly by working on high-demand projects, optimizing large datasets, and utilizing skills in data analysis, SQL, and automation tools. Achieving this income level often requires experience, a strong portfolio, and the ability to handle multiple clients or projects simultaneously.

Is remote data entry a real job?

Remote data entry is a legitimate job that involves inputting, updating, and managing data from a remote location using computers and data management software. It often requires attention to detail, basic computer skills, and familiarity with tools like spreadsheets or database systems.

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

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

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

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Colorado? The most popular types of Data Optimization jobs in Colorado are:
What are popular job titles related to Remote Data Optimization jobs in Colorado? For Remote Data Optimization jobs in Colorado, the most frequently searched job titles are:
What cities in Colorado are hiring for Remote Data Optimization jobs? Cities in Colorado with the most Remote Data Optimization job openings:
Senior Numerical Algorithm Software Engineer

Senior Numerical Algorithm Software Engineer

SciTec

Boulder, CO โ€ข On-site, Remote

$128K - $170K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


Job description

SciTec, a wholly owned subsidiary of Firefly Aerospace, is a dynamic non-traditional defense contractor that delivers advanced technologies in support of U.S. National Security and Defense. For the past forty-five plus years, we have supported Department of Defense customers by developing innovative remote sensing algorithms, tools, and techniques to deliver world-class data exploitation capabilities supporting missile defense; intelligence, surveillance, & reconnaissance; space domain awareness; and aircraft survivability missions.

Important Notice: SciTec exclusively works on U.S. government contracts that require U.S. citizenship for all employees. SciTec cannot sponsor or assume sponsorship of employee work visas of any type. Further, U.S. citizenship is a requirement to obtain and keep a security clearance. Applicants that do not meet these requirements will not be considered.

SciTec has immediate opportunities for talented software & algorithm developers and engineers to support programs focusing on low-latency data processing, fusion, and tracking algorithms for exploitation of remote sensing systems. Our ideal candidate will work well in multiple software languages as part of a rapid pace, collaborative, small-team environment consisting of Scientists, Engineers, and Developers and be able to prototype and develop advanced algorithms leading to eventual integration in C++ on Linux operating systems as part of government frameworks.

Responsibilities

  • Lead the research, development, and maturation of advanced numerical algorithms for remote sensing data exploitation across multi-modal sensor systems (e.g., EO/IR, SAR, RF)
  • Design, implement, and optimize high-performance algorithms in Python and C++, with a focus on scalability, efficiency, and operational robustness in mission environments
  • Architect and develop end-to-end signal processing, image processing, and data exploitation pipelines from prototype through production deployment
  • Advance modeling, simulation, and machine learning toolchains, including development of reusable frameworks and infrastructure to support algorithm evaluation and integration
  • Define and execute quantitative performance assessments of algorithms and sensor systems, including error characterization, sensitivity analysis, and validation against real-world data
  • Collaborate cross-functionally with software engineers, system architects, and mission stakeholders to integrate algorithms into operational systems and ensure mission alignment
  • Provide technical leadership within Agile development teams, including mentoring junior engineers, driving best practices, and contributing to shared codebases and tools
  • Support proposal efforts, technical roadmaps, and customer engagements by articulating algorithmic approaches and differentiators
  • Ensure compliance with mission assurance, security, and software quality standards applicable to DoD environments
  • Other duties as assigned

Requirements

  • Bachelorโ€™s or Masterโ€™s degree in Applied Mathematics, Physics, Electrical Engineering, Computer Science, or related technical field
  • 8+ years of experience developing numerical algorithms for signal processing, image processing, or sensor data exploitation (or 6+ years with a Masterโ€™s, 4+ with a PhD)
  • Demonstrated expertise in developing and implementing algorithms in Python and C++
  • Strong foundation in numerical methods, linear algebra, probability/statistics, and optimization techniques
  • Experience working with real-world sensor data (e.g., EO/IR, SAR, RF, or multi-modal systems)
  • Proven ability to evaluate algorithm performance, including error analysis, validation, and benchmarking
  • Experience working in Linux-based development environments and modern software development practices (version control, testing, CI/CD)
  • Ability to work effectively in Agile or iterative development environments
  • Strong written and verbal communication skills, including ability to convey complex technical concepts to diverse stakeholders
  • U.S. Citizenship with ability to obtain and maintain a DoD security clearance (active clearance preferred)

Candidates who have any of the following skills will be preferred

  • PhD in Applied Mathematics, Physics, Electrical Engineering, or related field
  • Experience with advanced signal/image processing techniques (e.g., detection, tracking, estimation, inverse problems, or computer vision)
  • Familiarity with machine learning frameworks and integration of ML models into operational pipelines
  • Experience optimizing algorithms for performance (e.g., parallel computing, GPU acceleration, memory optimization)
  • Knowledge of DoD or Intelligence Community mission systems, especially related to remote sensing or space-based sensors
  • Experience transitioning algorithms from research/prototype to production/operational environments
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Experience with modeling and simulation environments supporting sensor system development
  • Prior experience leading technical efforts or mentoring junior engineers
  • Active DoD security clearance

*Resumes, Cover Letters, and Applications which are generated by AI will not be considered for employment

Colorado Residents: In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Benefits

SciTec offers a highly competitive salary and benefits package, including:

  • 4% Safe Harbor 401(k) match
  • 100% company paid HSA Medical insurance, with a choice of 2 buy-up options
  • 80% company paid Dental insurance
  • 100% company paid Vision insurance
  • 100% company paid Life insurance
  • 100% company paid Long-term Disability insurance
  • 100% company paid Hospital Indemnity insurance
  • Voluntary Accident and Critical Illness insurance
  • Short-term Disability insurance
  • Annual Profit-Sharing Plan
  • Discretionary Performance Bonus
  • Paid Parental Leave
  • Generous Paid Time Off, including Holiday, Vacation, and Sick Pay
  • Flexible Work Hours

The pay range for this position is $155,000 - $180,000 / year. SciTec considers several factors when extending an offer of employment, including but not limited to the role and associated responsibilities, a candidate's work experience, education/training, and key skills. This is not a guarantee of compensation.

SciTec is proud to be an Equal Opportunity employer. VETS/Disabled.


SciTec logo

About SciTec

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

1979