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Vladimir Jones · IT - Software Development

Data Systems & Integration Engineer

United States, Colorado Springs 75000.00 - 90000.00 USD / Year · Job Posted May 29, 2026
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Job Responsibility

  • Design, implement, and optimize end-to-end data pipelines for ingesting, processing, and transforming large volumes of structured and unstructured data.
  • Develop robust ETL (Extract, Transform, Load) processes to integrate data from diverse sources into our data ecosystem.
  • Implement data validation and quality checks to ensure accuracy and consistency.
  • Design and maintain data models, schemas, and database structures to support analytical and operational use cases.
  • Optimize data storage and retrieval mechanisms for performance and scalability.
  • Evaluate and implement data storage solutions, including relational databases, NoSQL databases, data lakes, and cloud storage services.
  • Maintain dataset integrity and optimize builds to work in AI Agent and BI Visualizations.
  • Build and maintain integrations with internal and external data sources and APIs.
  • Integrate agency AI initiatives into workflow processes and dataflows.
  • Implement RESTful APIs and web services for data access and consumption.
  • Ensure compatibility and interoperability between different systems and platforms.
  • Configure and manage data infrastructure components, including databases, data warehouses, data lakes, and distributed computing frameworks.
  • Monitor system performance, troubleshoot issues, and implement optimizations to enhance reliability and efficiency.
  • Implement data security controls and access management policies to protect sensitive information.
  • Collaborate with analysts and other stakeholders to understand data requirements and deliver tailored solutions.
  • Document technical designs, workflows, and best practices to facilitate knowledge sharing and maintain system documentation.
  • Provide technical guidance and support to team members and stakeholders as needed.
  • Maintain proper governance of Data and AI initiatives to properly protect client and company data privacy.
  • Stay aware of federal and state regulations in regards to data privacy and protection standards.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. Master's degree preferred.
  • Proven experience in data engineering, software development, or related roles.
  • Proficiency in programming languages commonly used in data engineering (e.g., Python, Java, Scala, etc.).
  • Use data analytics software (SQL, SAS, R, etc.) to clean and organize large data sets to be used in analyses
  • Design, diagnose, and deploy statistical models to analyze and interpret data using a statistical software package such as R, SAS, or Stata
  • Strong knowledge of database systems, data modeling techniques, and SQL proficiency.
  • Proficiency with ETL tools commonly used in data engineering (e.g., SSIS, Databricks, etc.).
  • Experience with big data technologies and frameworks (e.g., Hadoop, Spark, Kafka, etc.).
  • Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud Platform, etc.).
  • Excellent problem-solving skills and attention to detail.
  • Effective communication and collaboration skills in a team-oriented environment.
  • Ability to adapt to evolving technologies and business requirements.
  • Proficiency in BI Tools such as NinjaCat, Data Studio, etc. preferred.
  • Agency experience preferred.

Nice to have

  • Proficiency in BI Tools such as NinjaCat, Data Studio, etc.
  • Agency experience.

What we offer

  • 401k + employer match
  • Medical, Dental, Vision
  • Life and short-term disability (100% employer paid)
  • Voluntary long-term disability
  • EAP
  • 9 paid holidays
  • PTO, Floating Holiday, Volunteering Day
  • Education reimbursement
  • Employee referral program
  • Employee recognition program where points turn into money!
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