US - IT Data Engineer (Mid)
Chesterfield, MO, United States (Hybrid)Contract (8 months 25 days)Published 3 days agoBig Data SolutionsJob SummaryThis 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.ResponsibilitiesDevelop and maintain comprehensive big data solutions across various functional and process content areasDesign and implement stable, flexible, and high-performing data platforms using modern technologiesAssemble and transform large, complex data sets including text, time series, and imagery into analysis-ready formatsEvaluate and select fit-for-purpose database technologies and tools for specific data challengesApply data management best practices to ensure data quality, security, and governanceOptimize data pipelines to reduce lead time from data collection to insight generationMonitor and troubleshoot data platform performance to maintain system reliabilityCollaborate with cross-functional teams to understand data requirements and deliver solutionsDocument data architectures, processes, and technical specificationsStay current with emerging big data technologies and recommend improvements to existing systemsSkillsAdvanced proficiency in big data technologies and frameworksStrong expertise in database design and management across multiple platformsExperience with data pipeline development and ETL processesProficiency in programming languages commonly used in data engineeringKnowledge of distributed computing and parallel processing conceptsUnderstanding of data warehousing and data lake architecturesAbility to work with structured, semi-structured, and unstructured dataStrong problem-solving and analytical thinking capabilitiesExcellent communication skills for technical and non-technical audiencesProject management and organizational abilitiesExperience4-6 years of hands‐on experience in big data development and implementationProven track record of building and maintaining large-scale data platformsExperience working with diverse data types including text, time series, and imagery dataDemonstrated success in reducing data processing lead times and improving system performanceThis 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.#J-18808-Ljbffr