Data Systems & Integration Engineer

Data Pipeline Development

• 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.

Data and AI Modeling and Architecture

• 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.
• Familiarity with modeling techniques such as Bayesian Marketing Mix Modeling, Machine Learning-Based and Agentic Derived MMM, and Performance & Attribution Models.

Data Integration and API Development

• 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.
• Data Infrastructure Management
• 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.

Collaboration and Documentation

• 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., 35 Minutes Ago Hybrid Longmont, CO, USA 21-30 Hourly Entry level 21-30 Hourly Entry level Fintech * Financial Services As an Associate Personal Banker, you'll build customer relationships, assist with account services, and provide banking solutions while ensuring compliance with regulations. Wells Fargo

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What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

• 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.

Be an Early Applicant Hybrid Colorado Springs, CO, USA 75K-90K Annually Mid level Hybrid Colorado Springs, CO, USA 75K-90K Annually Mid level The Data Systems & Integration Engineer designs and maintains data pipelines, integrates data systems, develops ETL processes, and collaborates on data modeling for operational and AI initiatives. The summary above was generated by AI, The following characteristics are expected of each employee of the agency regardless of role or responsibility:

• GRIT. Fall seven times, get up eight.
• CURIOUS. Follow that hunch with unbridled passion.
• PROVOCATIVE. When it comes to moving a piano, never grab the sheet music.
• CONFIDENCE. Fake it 'til you make it. Then fake it some more. (Psst, no one knows. It's ok.)
• UNCOMPROMISING. What you do when no one is watching is really who you are.
• UNFORGETTABLE. What about you, your character, your personality - sticks?
• UNWAVERING. Projects and initiatives are rarely sprints. Pace yourself. And encourage others who need a pick-me-up along the way.
• MYTH-WORTHY. What stories about you will still loom large 20 years from now.

Schedule and Location:

Monday - Friday 8:30am - 5:30pm. Remote work available Fridays. This role is based out of our Colorado Springs, CO office.

Compensation:

The salary range for this position is $75,000 - $90,000.

Benefits:

• 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!

Vladimir Jones is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, national origin, age, protected veteran status, or disability status.

Vladimir Jones participates in E-Verify, which is a federal program used to confirm the employment eligibility of all new hires.