Data Platform & Engineering Specialist

Molex
Lincoln, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Lincoln, United States of America

Tech stack

Java
Amazon Web Services (AWS)
Azure
Cloud Computing
Cloud Engineering
Continuous Integration
Data as a Services
Information Engineering
Data Infrastructure
ETL
Database Queries
Digital Architecture
Networking Basics
Performance Tuning
Prometheus
Runbook
SQL Databases
Data Streaming
Virtual Local Area Networks
Azure
Data Logging
Freeform SQL
Data Storage Technologies
Cloud Platform System
Azure
Cloud Monitoring
System Availability
Grafana
Spark
Containerization
Kubernetes
Information Technology
Low Latency
Kafka
Video Streaming
Cloudwatch
Stream Processing
Data Pipelines
Docker
Confluent
Databricks

Job description

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).

Our Team

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.

What You Will Do

Data Engineering

  • 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

Platform Engineering

  • Architect and maintain cloud-based data platforms (AWS/Azure)
  • Implement systems for reproducible environments
  • Manage networking while working with the Global IT team (VLANs)

Streaming & Real-Time

  • Build and operate event-driven pipelines using tools like Kafka/Kinesis/Event Hubs
  • Monitor and tune streaming systems for throughput, latency, and reliability

Observability & 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

Collaboration

  • Partner with application teams, network/security engineers, and analysts
  • Document architecture, runbooks, and operational playbooks

Requirements

Do you have experience in System tuning?, * 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)

What Will Put You Ahead

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

Benefits & conditions

Pulled from the full job description

  • Tuition reimbursement
  • Paid parental leave
  • AD&D insurance
  • Parental leave
  • Health insurance
  • Vision insurance
  • Health savings account

About the company

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here ., At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

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