US - IT Data Engineer; Mid

Chesterfield, MO, United States (Hybrid)

Contract (8 months 25 days)

Published 3 days ago

Big Data Solutions

This position offers an exceptional opportunity to architect and implement cutting‑edge big data solutions that transform how organizations leverage their data assets. You will be at the forefront of designing and maintaining robust data platforms that bridge the gap between raw data collection and actionable business insights. Working across multiple functional areas, you will apply industry best practices and innovative technologies to create scalable, high‑performance data ecosystems.

Your expertise will be instrumental in processing and structuring diverse data types, enabling faster decision‑making and driving strategic initiatives through data‑driven approaches.

• Develop and maintain comprehensive big data solutions across various functional and process content areas
• Design and implement stable, flexible, and high-performing data platforms using modern technologies
• Assemble and transform large, complex data sets including text, time series, and imagery into analysis-ready formats
• Evaluate and select fit-for-purpose database technologies and tools for specific data challenges
• Apply data management best practices to ensure data quality, security, and governance
• Optimize data pipelines to reduce lead time from data collection to insight generation
• Monitor and troubleshoot data platform performance to maintain system reliability
  
  Collaborate with cross-functional teams to understand data requirements and deliver solutions
• Document data architectures, processes, and technical specifications
• Stay current with emerging big data technologies and recommend improvements to existing systems

• Advanced proficiency in big data technologies and frameworks
• Strong expertise in database design and management across multiple platforms
• Experience with data pipeline development and ETL processes
• Proficiency in programming languages commonly used in data engineering
• Knowledge of distributed computing and parallel processing concepts
• Understanding of data warehousing and data lake architectures
• Ability to work with structured, semi-structured, and unstructured data
• Strong problem-solving and analytical thinking capabilities
• Excellent communication skills for technical and non-technical audiences
• Project management and organizational abilities

• 4-6 years of hands‑on experience in big data development and implementation
• Proven track record of building and maintaining large-scale data platforms
• Experience working with diverse data types including text, time series, and imagery data
• Demonstrated success in reducing data processing lead times and improving system performance

This is an exciting opportunity to make a significant impact on organizational data capabilities while working with state-of-the-art technologies. You will have the autonomy to innovate and implement solutions that directly influence business outcomes, all while expanding your expertise in the rapidly evolving field of big data engineering. Join a team that values technical excellence and provides the resources and support needed to tackle complex data challenges at scale.