Data Engineer

• Build and maintain batch and/or streaming pipelines to ingest data from source systems into our analytical platform
• Develop transformations to clean, standardize, and enrich data using agreed-upon patterns and tools (e.g., SQL, Python, Fabric Data Lake, KQL)
• Support ML workflows by helping produce curated training datasets and feature-ready tables, following established patterns
• Help monitor pipeline health and data quality; investigate variances and propose code enhancements to key datasets.

Contribute to a Strong Data Culture

• Help evolve data standards (naming conventions, modeling patterns, documentation) to improve consistency and reuse
• Promote a culture of data trust through quality checks, clear definitions, and thoughtful change management
• Willingness to tackle obscure requests and find ways to solve cumbersome outdated workflows

• Empowered to solve problems, not just build features
• Accountable for outcomes, not output
• Collaborative by default, from discovery through delivery
• Continuously learning, using data, AI/ML and customer insight to improve

Magid offers a variety of benefits to our team members including:

• Health, dental, vision, life and disability insurance
• Bonus plan
• 401k retirement plan with company match
• Company provided Profit Sharing
• Participation in Magid Paid Time Off (PTO) Policy

• Bachelor’s degree in Computer Science, Engineering, or a related field
• Equivalent practical experience is equally valued
• Strong SQL fundamentals (joins, aggregation, window functions, performance basics)
• Data modeling mindset: Cares about clear definitions, grain, and making data usable
• Pragmatic problem solving: Debugs issues, makes sensible tradeoffs, and knows when to ask for help
• Ownership: Takes responsibility for assigned datasets/pipelines and follows through to production
• Collaboration: Works effectively with product managers to deliver trusted data

• Minimum of 5+ years of experience in data engineering, analytics engineering, or software engineering (including internships or equivalent projects)
• Ability to write production-quality SQL and create reliable transformations with attention to correctness
• Understanding of dimensional modeling and/or event modeling concepts (fact/dimension tables, star schemas)
• Proficiency in Python (or similar) and comfort using Git and code reviews to collaborate
• Familiarity with data platforms (data warehouse/lakehouse concepts), and exposure to orchestration/ETL tools (e.g., Airflow, dbt, Spark) is a plus

• Experience working with a modern data warehouse/lakehouse (e.g., Microsoft Fabric One Lake, Snowflake, BigQuery, Databricks)
• Exposure to data quality testing, monitoring, or observability concepts
• Familiarity with data governance concepts (Row-Level-Security, Workspace Roles, etc)
• Exposure to machine learning workflows (training data preparation, feature tables, model experimentation support)
• Familiarity with modern engineering practices (CI/CD, testing, observability)

Magid Glove & Safety is a leading manufacturer, distributor, and importer of hand protection and safety products, e.g., work gloves, fall protection, reusable and disposable respirators.

We are an innovative, growing, and privately held business, that has been delivering safety solutions to thousands of companies since 1946.

Magid is an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, veteran status, or any other status protected under federal, #state, or local law.

The salary range for this position is $96,000.00 - $134,400.00.

Actual pay will be adjusted based on job-related factors permitted by law, such as experience and training, geographic location, additional qualifications such as licensure or certifications, market factors, and responsibilities.

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