Systems Engineer Jobs

About The Position

Requirements

• Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
• 3–7+ years of experience in data engineering or data platform development
• Strong proficiency in SQL and Python
• Hands-on experience with cloud data platforms (Snowflake, Azure, or AWS)
• Experience building ETL/ELT pipelines and data models
• Familiarity with data warehousing concepts and medallion architecture

Nice To Haves

• Experience supporting AI/ML workflows or data science teams
• Knowledge of manufacturing, supply chain, or IoT data environments
• Experience with Informatica, Databricks, or streaming technologies (Kafka/Event Hub)
• Understanding of data governance frameworks and data quality tools
• Exposure to Power BI or modern BI tools

Responsibilities

• Design and build scalable ELT/ETL pipelines using cloud-native technologies (e.g., Snowflake, Azure, Databricks)
• Develop and maintain bronze/silver/gold data layers (medallion architecture) for analytics and AI consumption
• Integrate data from ERP, manufacturing systems, IoT sensors, and third-party platforms into a unified data environment
• Ensure high data quality, reliability, and performance across pipelines
• Engineer datasets optimized for machine learning and AI models
• Partner with data scientists and analytics teams to support predictive maintenance, demand forecasting, and anomaly detection use cases
• Implement data pipelines that support real-time or near-real-time analytics where applicable
• Enable feature engineering and model-ready datasets
• Support migration from legacy platforms (e.g., SQL Server/SSAS) to modern cloud data platforms
• Build and maintain integrations using tools such as Informatica, APIs, and streaming frameworks
• Contribute to architecture patterns that enable scalable and reusable data products
• Implement and enforce data governance standards, lineage, and metadata management
• Ensure compliance with data security and privacy policies
• Monitor and improve data quality and pipeline performance metrics
• Partner with business stakeholders (Manufacturing, Supply Chain, Sales) to understand data needs
• Work closely with analytics engineers, BI developers, and SMEs to deliver trusted data assets
• Translate business requirements into scalable data solutions

Benefits

• Medical and prescription drug plans
• Telemedicine (with medical plan)
• High-Deductible Health Plan (HDHP) and Health Savings Account (HSA)
• Dental and vision plans
• Virtual physical therapy
• Employee assistance program (EAP)
• Voluntary accident, critical illness, and hospital indemnification programs
• Retirement 401k program with company match
• Employee stock purchase plan (voluntary)
• Financial wellness planning
• Paid parental leave
• Flexible spending accounts (FSA) for child care and health care
• Short-term and long-term disability
• Basic life insurance
• Accidental death and dismemberment (AD&D)
• Adoption financial reimbursement
• Tuition reimbursement
• Voluntary life insurance (for employees, spouses, and children)
• Voluntary identity theft and fraud protection