Big Data Engineer (Mid) — Hybrid Platform Builder

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

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.