Data Engineer

Brother International Corporation • Bridgewater Township, NJ

268d • $90,000 - $116,000

About The Position

The Data Engineer supports the organization's mission of enabling better, faster, and simpler decisions through data. This role focuses on developing, optimizing, and maintaining data pipelines and systems that ensure the efficient flow of high-quality data for analytics and reporting. The Data Engineer contributes to building scalable data solutions and gains hands-on experience with cloud platforms, Extract, Transform, Load (ETL) tools, and best practices, driving key initiatives that impact business objectives.

Requirements

• Bachelor's degree (or equivalent experience) in Computer Science, Software Engineering, Data Science, or related field
• 3+ years of experience in data engineering, data analysis, or a related role
• Proficiency in SQL, with hands-on experience in Snowflake, AWS, Azure, or similar platforms
• Practical knowledge in Snowflake, Azure, or AWS environments; Working knowledge of Salesforce integration using SOAP APIs or Salesforce Object Query Language (SOQL)
• Strong experience with ETL tools such as Alteryx, Azure Data Factory, or equivalent
• Proficiency in programming languages such as Python or SQL
• Experience with project management and ticketing tools such as Jira and or Workfront

Nice To Haves

• Familiarity with data visualization tools such as Tableau or Power BI
• Understanding of data governance and compliance standards
• Proven experience with machine learning frameworks or data science concepts
• Strong analytical skills with a passion for data and problem-solving
• Proven proactive approach to learning new technologies and improving existing systems

Responsibilities

• Design, develop, and maintain data pipelines for transforming, integrating, and ensuring data quality across multiple sources
• Assist in building and optimizing data warehousing solutions to support analytics and reporting functions
• Build and manage ETL processes using tools such as Alteryx, Databricks, or similar
• Implement cloud-based data solutions on platforms such as Snowflake, Azure, and AWS, ensuring scalability and efficiency
• Troubleshoot and resolve data quality issues, ensuring accurate and consistent data flows across systems
• Collaborate with cross-functional teams to gather data requirements and contribute to the design of data solutions
• Contribute to the creation of technical documentation for data pipelines and workflows, including code comments and best practices
• Apply data governance principles and compliance practices to ensure data is handled and stored securely
• Stay current with emerging technologies and best practices in data engineering to improve systems and processes

Benefits

• Healthcare and wellness coverage
• Life and disability insurance
• 401K with employer match
• Tuition reimbursement
• Paid Time Off

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Merchant Wholesalers, Durable Goods
• Education Level: Bachelor's degree