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Kalman Jobs (NOW HIRING)

Order Filler

Camp Pendleton, CA · On-site

$18.60/hr

Kalman & Company, Inc. is seeking Order Fillers for an opportunity supporting the Marine Corps Logistics Command in Oceanside, CA, at Camp Pendleton. This position falls under the Department of Labor ...

Order Filler

Camp Pendleton, CA · On-site

$18.60/hr

Kalman & Company, Inc. is seeking Order Fillers for an opportunity supporting the Marine Corps Logistics Command in Oceanside, CA, at Camp Pendleton. This position falls under the Department of Labor ...

Order Filler

Camp Pendleton, CA · On-site

$18.60/hr

Kalman & Company, Inc. is seeking Order Fillers for an opportunity supporting the Marine Corps Logistics Command in Oceanside, CA, at Camp Pendleton. This position falls under the Department of Labor ...

Order Filler

Camp Pendleton, CA · On-site

$18.60/hr

Kalman & Company, Inc. is seeking Order Fillers for an opportunity supporting the Marine Corps Logistics Command in Oceanside, CA, at Camp Pendleton. This position falls under the Department of Labor ...

Kalman & Company is seeking to hire an experienced Technical Writer who has experience and knowledge of Marine Corps programs. This position will be hybrid, consisting of three days onsite in Albany ...

Kalman & Company is seeking to hire an experienced Technical Writer who has experience and knowledge of Marine Corps programs. This position will be hybrid, consisting of three days onsite in Albany ...

Kalman & Company is seeking to hire is seeking an Equipment Specialist II to conduct technical data life cycle management for data in multiple data repositories as well as review, develop, validate ...

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Kalman information

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$20K

$84.6K

$129.5K

How much do kalman jobs pay per year?

As of Jun 4, 2026, the average yearly pay for kalman in the United States is $84,586.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,000.00 and $98,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Kalman Filter Engineer, you need a strong background in mathematics, signal processing, and control systems, typically supported by a degree in engineering, physics, or a related field. Familiarity with MATLAB, Python, C++, and simulation tools, as well as experience implementing filtering algorithms, is essential. Analytical thinking, problem-solving, and effective communication help you interpret data and collaborate with multidisciplinary teams. These skills are vital for accurately estimating system states and improving performance in applications such as robotics, navigation, and sensor fusion.

What are some common challenges faced by professionals working with Kalman filters, and how can these be addressed in a real-world engineering environment?

Professionals implementing Kalman filters often face challenges such as tuning the filter parameters for optimal performance in noisy or nonlinear environments, ensuring sensor data quality, and integrating the filter with other estimation or control systems. Collaboration with cross-functional teams—such as sensor engineers and software developers—is essential to address data inconsistencies and system integration issues. Regular testing, simulation, and iterative refinement help improve filter accuracy, while staying updated with the latest research and tools can ease troubleshooting and optimization.

What are Kalman filters and what do they do?

Kalman filters are mathematical algorithms used to estimate the state of a dynamic system from a series of incomplete and noisy measurements. They are commonly used in fields like robotics, navigation, and signal processing to predict and correct the position, velocity, or other variables of interest. The filter works in two steps: prediction and update, combining previous estimates with new data to improve accuracy over time. Kalman filters are valued for their efficiency and ability to provide real-time, optimal estimates in uncertain environments.

What is the difference between Kalman and Data Analyst?

AspectKalmanData Analyst
Required CredentialsTypically requires a background in control systems, engineering, or applied mathematicsUsually requires a degree in statistics, data science, or related fields
Work EnvironmentOften in engineering, robotics, or aerospace industriesCommonly in business, finance, healthcare, and tech sectors
Employer & Industry UsageUsed in systems monitoring, navigation, and sensor data filteringUsed in data interpretation, reporting, and decision-making

While both roles involve data processing, Kalman focuses on real-time system estimation and filtering, often in engineering contexts. Data Analysts interpret and visualize data to inform business decisions. Understanding these differences helps clarify career paths and job expectations in data-related fields.

More about Kalman jobs
Infographic showing various Kalman job openings in the United States as of May 2026, with employment types broken down into 97% Full Time, 1% Part Time, and 2% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $84,586 per year, or $40.7 per hour.
Lead Data Scientist/Data Analyst

Lead Data Scientist/Data Analyst

Kalman & Company

Stafford, VA

Other

Posted 9 days ago


Job description

Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the capability to lead, or principally contribute to, several of the largest and most significant studies in the company's portfolio. Experience in financial management, logistics, engineering, and/or program management domains are also preferred. As part of our team, youll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoD. On-site support will be required as needed in the Quantico, VA and Stafford, VA areas.

A career with Kalman & Company is both rewarding and challenging. Our clients require skilled, hardworking, and innovative professionals who can meet the demands of a dynamic and fast-paced workplace. The analyst position will include, but is not limited to, the following capabilities:
Essential Job Functions:

  • Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies.
  • Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
  • Develop solutions in a highly collaborative and agile environment.
  • Lead efforts in collecting, normalizing, and analyzing complex data.
  • Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards.
  • Identify opportunities to streamline reporting to make processes more automated and less manual.
  • Develop and manage business intelligence solutions for the organization.
  • Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data.
  • Build data visualizations including dashboards and reports.
  • Document data profiling and quality assurance results, data dictionaries and analytical findings.
  • Use data to create predictive models and trend analysis.
  • Collaborate with colleagues for the purpose of collecting and structuring data.
  • Collect, audit, compile, and validate data from multiple sources.
  • Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs.
  • Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation.
  • Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer.
  • Work autonomously and as part of a team to meet organizational and project goals.
  • Lead in the preparation of briefing materials and other communications packages presenting the results of analysis.
  • Support on-site delivery in the Quantico and Stafford areas.

Skills and Qualifications Required:

  • US Citizenship is required.
  • Active Secret Security Clearance or ability to obtain a Secret Security Clearance.
  • Proficiency in Microsoft Excel and experience working with large data sets.
  • Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor.
  • Excellent data gathering and analytical skills.
  • Excellent oral and written communication skills.
  • Have a strong understanding of DoD systems and processes.
  • Ability to lead detail-oriented tasks and multi-task under minimal supervision.

Education and Experience:

  • Bachelors degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field
  • 5+ years of experience supporting solutions implemented in DoD.
  • Experience in statistical modeling.
  • Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL.
  • Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.:

Preferred Experience:

  • Preferred: Experience with cloud computing/storage, data lakes/warehouses.
  • Preferred: Experience with Spark and ML applications.
  • Preferred: Experience with Scala, Java
  • Preferred: Experience with Robotic Process Automation (RPA) (e.g., UiPath)
  • Preferred: Experience with Natural Language Processing (NLP)
  • Preferred: Experience in Databricks