Data Engineer jobs in Chicago, IL

Lead the technical direction and hands-on delivery of a reusable data acquisition platform, building reliable batch, CDC, and streaming pipelines with validation, reconciliation, recovery, security, and traceability. Guide architecture and code reviews, mentor engineers, establish automated testing and CI/CD practices, and partner with production support to resolve escalations and prevent recurring issues.

The role involves designing, developing, and implementing robust cloud-first data solutions while collaborating with cross-functional Agile teams. You will also serve as a technical leader, mentoring junior engineers and driving large-scale data initiatives across the organization.

The Data Engineer will build and maintain low-level data pipelines using Databricks and Apache Spark while coordinating with onshore and offshore teams. They are also responsible for supporting deployment, post-production maintenance, and communicating project status to engagement managers.

The PSE Director is responsible for securing the technical close of complex Data Analytics and AI solutions to drive consulting practice growth. This includes scoping technical solutions, collaborating with sales and delivery teams, and providing coaching to sales associates.

Design, build, and optimize scalable AWS and Snowflake data pipelines, data products, and AI-ready data models for business intelligence, analytics, and AI/ML workloads. Establish engineering standards and reliable data practices while providing technical leadership, mentoring engineers, and collaborating with cross-functional teams.

You will implement and enhance market data feed handlers for proprietary equities protocols while building and maintaining quant-ready data archives. Additionally, you will collaborate with quantitative researchers to optimize data products and support the firm's global market expansion.

The role involves owning the operational health, reliability, and performance of the Performance Team’s data platform. Responsibilities include maintaining ETL pipelines, ensuring data quality, and automating operational workflows to improve system efficiency.

The Senior Data Platform Engineer will design, build, and operate core platform capabilities including ingestion frameworks, storage infrastructure, and streaming services. They will also develop APIs and agentic interfaces to enable AI agents and downstream teams to interact with platform data and capabilities.

The role involves architecting and implementing cloud-based data pipelines and products to support sales and underwriting operations. You will provide technical leadership, mentor team members, and ensure high-quality data governance across the organization.

Design and deliver trusted Snowflake data products and maintain a semantic layer that ensures consistent business logic across analytics and AI applications. Lead complex semantic-modeling initiatives while partnering with business owners to translate source data into certified, reusable structures.

The Solution Engineer will provide technical sales partnership to drive the adoption of Data Foundation solutions, including MuleSoft and Informatica. They will conduct technical discovery, deliver architecture workshops, and build Proofs of Concept to align technical solutions with customer business outcomes.

Provide technical sales partnership by performing technical discovery, delivering product demonstrations, and creating architectural recommendations. Collaborate with internal teams to improve products and manage customer engagements throughout the sales cycle.