Azure AI Data Engineer

ICF • Golden, CO

3d • Remote

About The Position

ICF is seeking an Azure AI Data Engineer to join our team. This is a cross functional position with significant responsibility and opportunity to shape the future direction of our team. Candidates will be required to focus on data development tasks to collect, store, validate, and process large datasets in the Azure environment. This position will be part of a Data Engineering team working on quantitative software products and services, so experience working in a product development environment is desired.  Successful candidates will be very analytical with a high attention to detail in a quantitative environment to ensure a stable, repeatable, and accurate production data stream. Successful candidates will also enjoy an independent work environment where they can take a high level of ownership of their accomplishments.

Requirements

• Bachelor's degree in Computer Science, Engineering, Data Science, Math, Energy, or related technical fields.
• 5+ years of hands-on experience designing, developing, and supporting database and data engineering solutions within an Azure-based environment, including work across the full SDLC in an Agile or product-focused team or related work experience
• Experience designing, developing, and integrating AI-driven solutions, including building AI agents or intelligent workflows that enhance data pipelines, automation, analytics, or decision support within an Azure-based environment.
• Strong experience with Azure data services such as Azure Data Factory, Azure Databricks, Azure Data Lake Storage, and Azure SQL Data Warehouse, along with advanced SQL, data modeling, data pipeline automation, performance tuning, and data quality management.
• Must be able to pass a background check, have a valid driver’s license, and successfully pass a Motor Vehicle Records (MVR) check and drug screening.

Nice To Haves

• Ability to work in a distributed team environment
• Experience working on quantitative software products
• An outstanding academic record with a focus on Energy, Science, Math, and Engineering or similar.
• Strong listening, interpersonal, and proactive communication skills, with the ability to build and maintain effective relationships across technical and business stakeholders.
• Highly self-motivated and self-directed, with sound independent judgment and the ability to solve complex technical problems.
• Excellent organizational and prioritization skills, with the ability to manage multiple tasks and shift priorities in an Agile environment.
• Proven ability to drive end-to-end delivery, ensuring stakeholder buy-in and successful adoption of technology solutions.

Responsibilities

• Monitoring and troubleshooting data-related issues within the Azure environment to maintain high availability and performance, leveraging AI-driven anomaly detection and predictive insights to proactively identify and resolve issues.
• Keeping abreast of the latest Azure features and technologies to enhance data engineering processes and capabilities, with a strong focus on emerging AI services, generative AI, and intelligent data platforms to drive innovation.
• Automating data pipelines and workflows to streamline data ingestion, processing, and distribution tasks.
• Implementing data security measures, including encryption, access controls, and auditing, to protect sensitive information.
• Collaborating with data scientists, business analysts, and other stakeholders to understand data requirements and implement appropriate data solutions.
• Documenting data procedures, systems, and architectures to maintain clarity and ensure compliance with regulatory standards.

Benefits

• Quality of life: Flexible workplace arrangements, work-life balance
• Investment of the community: Donation matching, volunteer opportunities
• Investment in you: Tuition reimbursement, access to professional development resources, 401k matching, Employee Stock Purchase Plan
• And many, many more (Ask your recruiter for more details!)

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees