Data Engineer

We are looking for an experienced Data Engineer to join a high-performing technology team in Chicago. This individual will play a key role in designing and supporting scalable data platforms that power critical business operations and analytics. The ideal candidate thrives in a fast-paced, data-intensive environment and enjoys solving complex engineering challenges at scale.

Responsibilities

• Design, implement, and maintain large-scale data infrastructure and distributed data platforms.
• Develop and support real-time and batch data processing systems using modern streaming and big data technologies.
• Build robust data pipelines and workflows to efficiently ingest, transform, and deliver data across the organization.
• Partner with software engineers, platform teams, and business stakeholders to define data models, optimize data flows, and support long-term capacity planning.
• Ensure the reliability, quality, and availability of enterprise data assets.
• Provide technical guidance and subject matter expertise on data architecture, data engineering best practices, and platform capabilities.
• Monitor and troubleshoot data systems, driving root cause analysis and continuous improvement efforts.

Qualifications

• 5+ years of experience designing and supporting data engineering solutions in large-scale production environments.
• Experience building and supporting streaming data platforms, including technologies such as Kafka or similar messaging systems.
• Hands-on experience working with modern data lake, cloud storage, or distributed data platforms such as S3, HDFS, Databricks, Iceberg, or related technologies.
• Strong experience developing data applications using frameworks such as Spark, Flink, or comparable distributed processing technologies.
• Proficiency in Java, Python, and SQL.
• Experience leveraging Python-based analytics, data science, or machine learning libraries.
• Strong understanding of containerization and orchestration technologies, including Docker and Kubernetes.
• Experience with observability, monitoring, and alerting tools in distributed environments.
• Strong analytical and problem-solving skills, with the ability to investigate and resolve complex production issues.
• Experience working in Linux/Unix environments and developing automation through scripting languages such as Python and Bash.

Preferred Background

• Experience supporting real-time, high-throughput data ecosystems.
• Familiarity with data governance, data quality, and operational excellence practices.
• Ability to collaborate effectively across engineering, platform, and business teams in a highly technical environment.