Seeking a Data Engineer to join a well known global tech consultancy. Pay Rate: 60-70/hr Hybrid Long Term Contract in Chicago Your Impact: Leverage your technical skills and problem-solving abilities to collaborate with clients, transforming complex concepts into comprehensive solutions that drive their business forward. Interpret client requirements into system designs, developing solutions that generate real business value. Take the lead in designing, developing, and delivering large-scale data systems, as well as data processing and transformation initiatives. Automate operations on data platforms and oversee post-production systems and processes. Perform technical feasibility assessments and provide project estimates for solution design and development. Mentor and support the growth of junior team members. Your Skills & Experience: Proven experience with data platforms, including the implementation of end-to-end data pipelines. Strong communication skills and a collaborative mindset. Practical experience with at least one major public cloud data platform (e.g., Amazon Web Services, Azure, or Google Cloud). Familiarity with columnar database technologies (such as BigQuery, Redshift, and Vertica), NoSQL databases (including DynamoDB, BigTable, and Cosmos DB), and traditional relational databases (like SQL Server, Oracle, and MySQL). Experience in creating data pipelines for both streaming and batch processes using tools/frameworks such as Glue ETL, Lambda, Google Cloud DataFlow, Azure Data Factory, Spark, and Spark Streaming. Capability to take on module or track-level responsibilities while actively contributing to tasks. Knowledge in data modeling, warehouse design, and fact/dimension implementations. Experience with code repositories and continuous integration practices.