Senior Staff Software Engineer

This is a fully remote position, open to applicants in Illinois.

📋 Description

• Design and develop significant data systems, pipelines, frameworks, and reusable components, taking ownership of architecture within your domain and contributing to organization-wide design in collaboration with the Director of Data Engineering.

• Personally execute intricate, high-impact data engineering tasks on IAA’s Azure data and analytics framework — including ingestion, transformation, storage, semantic modeling, and data delivery.

• Implement and assist in refining engineering standards and methodologies related to code quality, performance, scalability, observability, and governance, promoting their adoption through practical examples and code/design reviews.

• Construct robust pipelines, semantic models, and data products that drive dashboards, self-service analytics, forecasting, and downstream machine learning applications.

• Develop production-grade data pipelines and feature/data infrastructure essential for data scientists to train, serve, and operationalize models.

• Identify and resolve challenging performance, reliability, and scalability issues across BI and data workloads (e.g., Power BI, Synapse, Fabric).

• Contribute to the technical strategy involving Microsoft Fabric, Synapse, Power BI, and broader Azure BI technologies, assisting in evaluating new tools and guiding build/buy decisions.

• Mentor data engineers and analytics engineers, conducting design reviews to enhance the technical prowess of the team.

• Act as a technical partner to engineering leadership regarding data architecture and technical trade-offs within your area of responsibility.

• Convert complex business challenges into practical, scalable, and well-designed data solutions.

⛳️ Requirements

• Extensive hands-on experience in a senior or staff-level data engineering role, with a proven history of designing and delivering large-scale production data systems.

• In-depth knowledge of the Azure BI/data technology stack, including:

• - Microsoft Fabric

• - Azure Synapse Analytics

• - Power BI and semantic modeling

• - Wider Azure data and analytics services

• Strong understanding of data engineering architecture, modern analytics platforms, dimensional and semantic modeling, along with scalable, fault-tolerant pipelines.

• Expert-level skills in Python and SQL, accompanied by strong software engineering fundamentals (testing, version control, CI/CD, modular design).

• Adequate understanding of data consumption by data scientists, sufficient to create the pipelines and feature/data infrastructure that facilitate model training and serving.

• Proven ability to navigate ambiguous, complex problems through solid technical design and practical implementation.

• Strong mentoring and influencing capabilities — able to enhance engineering practices and provide technical leadership within a team.

• Outstanding communication skills; capable of conveying complex technical concepts and trade-offs to both technical and non-technical stakeholders across Ops, Business, Sales, Marketing, Product, and Engineering.

• Capacity to excel in a dynamic, high-visibility environment with multiple priorities and stakeholders.

🏝️ Benefits

• Medical, dental, vision, and basic life insurance options.

• 401k plan featuring 100% matching for the first 4% contributed.

• 15 days of paid time off (PTO) each year.