Data Platform & Engineering Specialist

Koch • Lincoln, NE

2d

About The Position

Molex is seeking a motivated and highly skilled Data Platform & Engineering Specialist to join our Lincoln Digital OpEx Team. This role combines data engineering expertise with platform reliability and cloud architecture skills, enabling you to own the end-to-end data lifecycle—from ingestion and transformation to infrastructure scalability and security within the plant, as part of our Transportation Innovative Solutions division (TIS). You will work closely with application teams, network/security engineers, and business stakeholders to deliver robust, secure, and observable data services that power real-time and batch analytics.

Requirements

• Bachelor’s degree in Computer Science, Engineering, and/or 3+ years of experience in data engineering and platform/infrastructure roles
• SQL experience (complex queries, performance tuning, data modeling)
• Experience with Python for data workflows; familiarity with Java/Scala for streaming
• Hands-on experience with cloud platforms (AWS/Azure/GCP) and networking fundamentals
• Expertise in streaming technologies (Kafka, Kinesis, Event Hubs) and orchestration
• Familiarity with observability tools (Prometheus/Grafana, CloudWatch, Azure Monitor)

Nice To Haves

• Experience with Spark, Databricks, or dbt.
• Containerization and orchestration (Docker, Kubernetes)
• Certifications: AWS/Azure Data Engineering, Networking, or Kafka Confluent

Responsibilities

• Design and implement ETL/ELT pipelines for batch and streaming data
• Optimize complex SQL queries and data models for performance and scalability
• Ensure data quality and governance through schema validation and data contracts
• Architect and maintain cloud-based data platforms (AWS/Azure)
• Implement systems for reproducible environments
• Manage networking while working with the Global IT team (VLANs)
• Build and operate event-driven pipelines using tools like Kafka/Kinesis/Event Hubs
• Monitor and tune streaming systems for throughput, latency, and reliability
• Set up logging, metrics, and alerting for data services
• Implement CI/CD for data pipelines and platform components
• Develop data storage and retention strategies along with recovery and backup
• Partner with application teams, network/security engineers, and analysts
• Document architecture, runbooks, and operational playbooks

Benefits

• medical
• dental
• vision
• flexible spending and health savings accounts
• life insurance
• ADD
• disability
• retirement
• paid vacation/time off
• educational assistance
• infertility assistance
• paid parental leave
• adoption assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level