DevIQ

• Own ML solutions end to end — framing the business problem, exploring data, training and evaluating models, and iterating based on rigorous error analysis — through to production deployment and monitoring • Apply generative AI and LLMs where they fit the problem, selecting appropriate techniques and adapting as the field evolves • Establish MLOps best practices: CI/CD for models, experiment tracking, model and drift monitoring, and responsible-AI practices • Translate ambiguous business problems into well-scoped solutions, setting clear expectations on feasibility, timelines, and trade-offs • Serve as a trusted technical advisor — presenting demos and recommendations, and explaining models, their limitations, and uncertainty clearly to audiences from engineers to executives • Mentor teammates and collaborate across multi-disciplinary teams of engineers, data scientists, and designers • Adapt quickly to new industries, tools, and client environments while staying current with the evolving AI landscape • Operate as a flexible consulting engineer within DevIQ’s delivery model, contributing beyond AI/ML when project needs and team availability require it, including adjacent work such as discovery, data exploration, data engineering, application development, DevOps, solution documentation, technical analysis, internal tooling, or other client-supporting utility tasks.

• Lead the architecture, design, and implementation of modern software solutions for clients, serving as the senior technical voice on consulting engagements • Use agentic AI tools (Claude Code, Codex, Cursor, or similar) as a primary development workflow, delegating implementation, testing, and refactoring tasks to agents while maintaining rigorous quality standards • Design codebases to be agent-friendly, with clear conventions, strong automated test coverage, and documentation that enables AI tooling to work effectively • Establish review and verification practices for AI-generated code, ensuring correctness, security, and maintainability in everything the team ships • Build and maintain prompts, custom agents, and CI/CD integrations that automate routine engineering work across client projects • Serve as a trusted advisor to clients, communicating complex technical concepts clearly to both technical and non-technical stakeholders, setting realistic expectations, and building lasting relationships • Listen actively and empathetically to client needs, asking thoughtful questions and translating business goals into pragmatic technical roadmaps • Mentor and coach engineers on AI-native development practices, raising the velocity and quality of every team you work with • Partner with sales and leadership on pre-sales activities, including technical discovery, solution design, and estimating • Foster a collaborative, inclusive team culture, giving and receiving feedback constructively, navigating disagreement respectfully, and owning the problem as a team • Evaluate emerging AI development tools and patterns and decide which earn a place in the stack

Company Description DevIQ specializes in building modern cloud and data solutions – and we believe in the power of software and technology to improve lives. Join us to partner with passionate mid-market companies focused on reducing energy costs, curing disease, improving education, building smart cities, and more. From true innovation and synergetic cloud & technology partnerships to competitive full-time benefits and a strong team culture, DevIQ is a great place to work. At DevIQ, you’ll: Build your career with a supportive, inclusive team that appreciates people, creates value, embraces growth, and “owns the problem” as a team. Enjoy opportunities to learn, exposure to new industries, and building end-to-end solutions through meaningful work on active client projects. Work remotely and/or from our modern studio in downtown Denver. Bring your unique perspective and experience to multi-disciplinary teams. Collaborate on and contribute to transformative digital experiences that touch millions of lives, watching your work make an impact. Please note that you must be a U.S. citizen or eligible to work in the U.S. to be considered for this role, and third-party candidates will not be accepted. Job Description We are seeking a Data Engineer to join our growing team. In this role, you’ll build robust and scalable data pipelines that support high-quality analytics and machine learning solutions for our clients. You’ll play a critical role in designing workflows that ingest, transform, clean, normalize, and augment data from various sources. You should be comfortable working in cloud-based environments and have experience with structured and unstructured data. A strong command of SQL and Python is essential, along with practical experience using Pandas, Apache Spark, or similar data transformation frameworks. Key Responsibilities: Design and build reliable, scalable data pipelines for ingestion, transformation, normalization, and augmentation Work with structured, semi-structured, and unstructured data across diverse environments Develop approaches to source data from diverse platforms (flat files, databases, APIs, streams, etc.) Develop data transformation workflows using tools such as Pandas and Apache Spark Collaborate with cross-functional teams to gather data requirements and translate them into actionable data models Qualifications Required: 3+ years of hands-on experience with SQL and Python in data engineering or analytics roles Experience with data transformation tools/frameworks such as dbt, Pandas and Apache Spark Familiarity with cloud data platforms (e.g., Azure, AWS, Databricks) Solid understanding of ETL/ELT processes and pipeline orchestration Experience using version control systems like Git Strong communication and problem-solving skills Proactive in seeking opportunities to learn and grow skillset Preferred: Experience with Databricks, including use of Delta Lake, Spark notebooks, and Unity Catalog in production environments Experience with modern Data and ML workflow tools (e.g., Airflow, MLflow) Familiarity with data visualization libraries or tools (e.g., matplotlib, Power BI, Tableau) Understanding of best practices in data modeling, data quality, and pipeline monitoring Prior experience in a consulting or client-facing role Additional Information Est. Salary Range (Colorado Only): $120,000-$140,000* *Disclaimer: In accordance with Colorado’s Equal Pay for Equal Work Act, effective January 1, 2021, a good faith hourly or base salary range must be posted for all positions where the work may be performed in the state of Colorado. Therefore, this good faith salary range will only apply where this described position will be performed in the state, and should not be considered the compensation range in other locations or for other positions. DevIQ Benefits Include: Competitive financial compensation and utilization bonus plans Medical, Dental, Vision Insurance 401k, With 4% Matching Paid Time Off Health Savings Account (HSA)/Flexible Spending Account (FSA) Short-Term/Long-Term Disability Insurance Business funded Life Insurance Plan Dynamic yet relaxed work atmosphere Wide Variety of Growth Opportunities