Senior Data Engineer Jobs

Our Data Engineering teams build scalable data platforms and fault-tolerant pipelines for modern analytics and AI services using Python, SQL, ETL/ELT, Airflow, DBT, AWS, GCP, or Azure data storage and warehousing services.

As a Data Engineer, you will be the subject matter expert in building event-driven data pipelines, supporting & solving data integration challenges, and cloud-native data warehouse and data lake processing.

Responsibilities:

• Facilitate fast and efficient data migrations through a deep understanding of the design, mapping, implementation, management, and support of distributed data pipelines.
• Design, documented, and led the development of end-to-end data product pipelines
• Consult business, product, and data science teams to understand end-user requirements or analytics needs to implement the most appropriate data platform technology and scalable data engineering practices.
• Lead data engineering and/or operations teams in delivering completeness of source system data by performing a profiling analysis and triaging issues reported in production systems.
• Develop passionate data engineering teams to design and develop distributed and event-driven data pipelines with cloud-native data stores such as Snowflake, Redshift, Big Query, or ADW.
• Prepare data mapping, data flow, production support, and pipeline documentation for all projects.

What we're looking for:

• You know what it takes to build and run resilient data pipelines in production and has experience implementing ETL/ELT to load a multi-terabyte enterprise data warehouse.
• You have a strong understanding and exposure to data mesh principles in building modern data-driven products and platforms
• You have expert programming/scripting knowledge in building and managing ETL pipelines using SQL, Python, and Bash.
• You have productized real-time data pipelines through EDA leveraging Kafka or a similar service.
• You have implemented analytics applications using multiple database technologies, such as relational, multidimensional (OLAP), key-value, document, or graph.
• You have a strong background in distributed data warehousing with Snowflake, Redshift, Big Query, and/or Azure Data Warehouse.
• Minimum of Bachelor’s Degree or its equivalent in Computer Science, Computer Information Systems, Information Technology and Management, Electrical Engineering, or a related field.

This is full-time, On-site, and Remote. We are based out in Naperville, IL. We do have multiple levels i.e., Mid - Senior & Lead Data Engineer Roles