US - IT Data Engineer (Mid)

Bayer AG; Chesterfield (MO); Hybrid; USD 90,000 - 120,000; Full time

Job summary

A global biotechnology company is seeking a big data solutions architect in Chesterfield, MO. This role involves designing and implementing high-performance data platforms, transforming complex data into usable formats, and optimizing data management practices. Ideal candidates will have 4-6 years of relevant experience, a deep understanding of data engineering concepts, and strong collaborative and problem-solving skills. Join a dynamic team to influence data-driven business outcomes using cutting-edge technologies.

Qualifications

• 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 with diverse data types including text, time series, and imagery data.

Responsibilities

• Develop and maintain big data solutions across various areas.
• Design and implement flexible, high-performing data platforms.
• Assemble and transform large, complex data sets into analysis-ready formats.
• Evaluate and select database technologies for specific challenges.
• Apply best practices for data quality, security, and governance.
• Optimize data pipelines for faster insight generation.
• Monitor performance to maintain system reliability.
• Collaborate to understand data requirements and deliver solutions.
• Document data architectures and technical specifications.
• Stay current with emerging big data technologies.

Skills

Big data technologies and frameworks

Database design and management

Data pipeline development and ETL processes

Programming languages

Distributed computing concepts

Data warehousing architectures

Handling structured and unstructured data

Problem-solving capabilities

Excellent communication skills

Project management abilities

Job description

Chesterfield, MO, United States (Hybrid)

Contract (8 months 25 days)

Published 3 days ago

Big Data Solutions

Job Summary

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.

Responsibilities

• 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 reliabilityCollaborate 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

Skills

• 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

Experience

• 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.