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Open Source Intelligence Jobs in Kansas (NOW HIRING)

Data Engineer

Leawood, KS ยท On-site

$111K - $133K/yr

As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer designs, builds ... intelligence, and advanced analytics use cases. The Data Engineer partners closely with data ...

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Open Source Intelligence information

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$45.5K

$88K

$130.7K

How much do open source intelligence jobs pay per year?

As of Jul 24, 2026, the average yearly pay for open source intelligence in Kansas is $87,952.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $109,700.00 per year, depending on experience, location, and employer.

What is an Open Source Intelligence job?

An Open Source Intelligence (OSINT) job involves collecting, analyzing, and interpreting publicly available data to support decision-making in cybersecurity, law enforcement, business, or government operations. OSINT analysts gather information from sources like social media, news articles, public records, and databases to identify threats, trends, or insights. These professionals use various tools and techniques to verify and contextualize data while adhering to ethical and legal guidelines. The role requires strong analytical skills, attention to detail, and knowledge of data privacy laws to ensure responsible use of information.

What are some typical challenges faced by professionals in Open Source Intelligence roles?

Professionals working in Open Source Intelligence (OSINT) commonly face challenges such as information overload, verifying the credibility of sources, and navigating rapidly evolving digital platforms. They must also stay current with legal and ethical considerations when collecting and analyzing publicly available data. Collaboration with cybersecurity, law enforcement, or intelligence teams is frequent to ensure findings are integrated effectively. Developing efficient research strategies and maintaining a critical mindset are key to overcoming these obstacles and delivering actionable intelligence in a timely manner.

What are the key skills and qualifications needed to thrive in the Open Source Intelligence position, and why are they important?

To thrive in Open Source Intelligence (OSINT), you need strong analytical skills, a deep understanding of internet research techniques, and familiarity with information verification, often supported by degrees in fields such as criminal justice, cybersecurity, or intelligence studies. Experience with specialized OSINT tools like Maltego, Recon-ng, and knowledge of data privacy legislation are highly valued, as are certifications such as GIAC Open Source Intelligence (GOSI). Attention to detail, ethical integrity, and effective communication are crucial soft skills for interpreting and reporting findings clearly. These skills are important because they ensure the accurate, lawful, and actionable gathering of data from open sources to support security, investigative, or decision-making objectives.

What are the most commonly searched types of Open Source Intelligence jobs in Kansas? The most popular types of Open Source Intelligence jobs in Kansas are:
What job categories do people searching Open Source Intelligence jobs in Kansas look for? The top searched job categories for Open Source Intelligence jobs in Kansas are:
Infographic showing various Open Source Intelligence job openings in Kansas as of July 2026, with employment types broken down into 83% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $87,952 per year, or $42.3 per hour.
Data Engineer

$111K - $133K/yr

Full-time

Medical, Dental, Life, Retirement, PTO

Posted 17 days ago


Job description

Job Details
Job Title
Data Engineer
Business Function
Corporate
Branch Name
Murphy-Hoffman Company
Date
04-07-2026
Address
4501 College Blvd
City
Leawood
State
KS
Job Overview & Essential Functions
Murphy-Hoffman Company, LLC is North America's largest Kenworth truck Dealership and Leasing group. As MHC continues to grow, we have an opening for a Data Engineer. The Data Engineer designs, builds, and supports scalable data products and platform capabilities that enable trusted, timely, and governed data across the organization. This role develops and maintains batch and real-time data pipelines, integrates data from operational and third-party systems, and transforms raw data into analytics-ready assets for reporting, self-service analytics, operational intelligence, and advanced analytics use cases. The Data Engineer partners closely with data architecture, analytics, and business teams to deliver robust solutions across the modern data stack. This position is fully in office 5 days a week in Leawood, KS.
  • Designs, develops, tests, deploys, and maintains scalable data pipelines, ingestion solutions, and data integration processes that support batch and real-time / streaming workloads using tools and services such as Azure Data Factory (ADF), Azure Kubernetes Service (AKS), Confluent Cloud, Kafka, and Flink.
  • Implements and supports change data capture (CDC), event-driven, and streaming architecture patterns, including Kafka topics, schema-aware ingestion, and near-real-time data delivery to downstream consumers.
  • Develops data transformations and curated datasets using SQL, T-SQL, dbt, Python, and PySpark to support reporting, analytics, data science, and AI / machine learning use cases.
  • Creates and maintains data models, lakehouse / warehouse structures, and semantic-ready datasets that enable scalable, trusted, and high-performing downstream analytics and reporting.
  • Collaborates with data architects, analysts, application teams, and business stakeholders to define source-to-target mappings, business rules, data contracts, and solution designs that align with enterprise standards and business needs.
  • Builds and maintains reusable frameworks, templates, engineering standards, and deployment practices; including CI/CD, version control, and release processes for notebooks, dbt models, SQL objects, and pipeline definitions to improve consistency, scalability, speed, and long-term maintainability across the data platform.
  • Applies data quality, testing, reconciliation, monitoring, and documentation practices to ensure data completeness, accuracy, freshness, reliability, supportability, knowledge transfer, and auditability.
  • Troubleshoots data platform issues, production incidents, and root causes; communicates impacts and recommended resolutions clearly to technical and business stakeholders; and stays current on modern data engineering patters, platform capabilities, and security / governance requirements to recommend improvements that increase platform maturity and business value.
  • Performs other duties as assigned by supervisor.

Qualifications
  • Bachelor's degree in Computer Science, Information Systems, Data Management, Analytics, Engineering, or a related field; equivalent practical experience may be considered.
  • Demonstrated experience designing and building data pipelines, data integration solutions, and analytical data models in cloud data platform environments, with a strong understanding of data warehousing, dimensional modeling, lakehouse concepts, and enterprise data best practices.
  • Strong proficiency in SQL and data transformation techniques, with hands-on experience using Python and/or PySpark for pipeline development and data processing, as well as modern engineering practices such as dbt, source control, testing, documentation, and CI/CD.
  • Experience with Snowflake and/or Microsoft Fabric for data engineering, storage, transformation, and analytics enablement.
  • Experience working Azure Data Factory (ADF) or comparable orchestration tooling for enterprise data movement, scheduling, and workflow automation.
  • Experience with Confluent Cloud and Apache Kafka concepts, including topics, partitions, schemas, event-driving processing, streaming integration patters, and CDC / near-real-time data delivery.
  • Ability to work in a team environment and independently and collaboratively in a fast-paced environment with multiple priorities and changing requirements, with strong written and verbal communication skills and the ability to explain technical issues, tradeoffs, and recommended resolutions to diverse audiences.

Benefits
  • Competitive Salary
  • Medical, Dental and Prescription Insurance
  • Disability and Life Insurance
  • Paid Time Off program
  • 401k and Profit Sharing with Employer Match
  • Flexible Spending Account
  • Internal Promotion Opportunities
  • On the Job Training

About Us
MHC is an expansion of the original company, Ozark Kenworth, Inc. Ozark Kenworth started in Springfield, Missouri, in January 1975. Opening for business without a Parts or Service department and only three employees in a temporary facility. From there, the company grew and expanded. MHC is now a multi-state network of full-service diesel truck dealerships, leasing and rental operations, transport refrigeration locations, and a finance company which offers a complete array of finance and insurance services. We believe in fostering an environment that helps employees realize their full potential - a place where you can grow as a person and a professional.
Equal Opportunity Employer / Veterans / Disabled