The Intermediate Data Engineer is responsible for the development and support of systems, services, and applications required for the collection, storage, processing, and analysis of all forms of data to enable data-driven decisions and outcomes across the enterprise.
Locations (2)
Cedar Rapids, Iowa, United States
Denver, Colorado, United States
Compensation
$77,000 - $95,000 annually
Responsibilities
Work collaboratively with other engineers, data scientists, analytics teams, and business product owners in an agile environment.
Build and support the operation of Cloud and On-Premises enterprise data infrastructure and tools.
Design robust, reusable and scalable data driven solutions, and data pipeline frameworks to automate the ingestion, processing and delivery of structured and unstructured batch and real-time streaming data.
Build data APIs and data delivery services to support critical operational processes, analytical models and machine learning applications.
Assist in selection and integration of data related tools, frameworks, and applications required to expand platform capabilities.
Requirements
Bachelor’s degree in computer science
math
engineering
relevant technical field
Nice to have: Master’s degree in a technical field
The Lead Full Stack Developer drives the design, delivery, and evolution of modern web applications, APIs, and system integrations, using AI to accelerate development and deliver intelligent features. This is a hands-on technical leadership role.
Compensation
The target salary range for this position is $128,000.00 - $160,000.00 annually
Responsibilities
Lead the technical design and delivery of full stack solutions, owning architecture decisions, standards, and best practices.
Mentor and coach developers, conduct code reviews, and foster a culture of quality, collaboration, and continuous improvement.
Plan and estimate work with product and project stakeholders, break down requirements, and ensure on-time, high-quality delivery.
Develop responsive front-end interfaces and robust back-end services using modern frameworks and languages.
Design, build, and document RESTful APIs (OpenAPI/Swagger) with strong security (OAuth 2.0, JWT), versioning, and error handling, and define API standards for the team.
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Compensation
The salary range for this role is $145,900.00 - $234,200.00.
Responsibilities
Design and build full-stack AI applications, including user interfaces, backend APIs, reusable services, and integrations with enterprise data and systems.
Own delivery from prototype through production, including automated testing, CI/CD, release management, observability, incident response, and ongoing application support.
Use AI coding agents for implementation, refactoring, debugging, and test generation.
Partner with product, architecture, cybersecurity, quality, and validation teams to meet business outcomes, enterprise standards, and applicable regulatory requirements.
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The Engineer II develops and maintains technical solutions that adhere to engineering and architectural design principles while meeting business requirements.
Compensation
$98,160 - $159,270 USD
Responsibilities
Provides technical expertise with a focus on efficiency, reliability, scalability, and security; includes planning, evaluating, recommending, designing, operationalizing, and supporting solutions in compliance with enterprise and industry standards.
Acts as a key contributor in a complex and critical environment.
May provide leadership to teams or projects; shares expertise.
Applies in-depth skills and broad knowledge of the business to address complex problems and non-standard situations.
The base compensation range for the role in any of those locations is $183,100 USD - $340,000 USD. For any eligible US locations, unless otherwise noted, the base compensation range for this role is $158,900 USD - $295,100 USD.
Responsibilities
Design and build scalable backend services and APIs
Write maintainable, high-performance server-side code and data processing pipelines
Define clear, efficient API contracts and contribute to service architecture decisions
Design and craft compositional API primitives
Build and maintain integrations with third-party services and internal ML systems
Requirements
Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent experience)
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