Senior Analyst, Data Engineer

Lincoln Electric; Northern (KY); Hybrid; USD 112,000 - 140,000; Full time

Benefits offered by this job

Competitive base salary

Comprehensive benefits

Clear growth path

Collaborative culture

Job summary

Lincoln Electric, a leading global manufacturing enterprise, is seeking a Senior Analyst-Data Engineer to design, build, and scale enterprise data pipelines for analytics, reporting, and operational insights. The role focuses on Azure-based platforms and Medallion Architecture, with Bronze and Silver layers across ERP, MES, and manufacturing data.

Youll work with BI developers, data scientists, and stakeholders to ensure high quality datasets, data security, and governance, while contributing to

Qualifications

• 3–5 years of professional experience as a Microsoft Data Engineer or similar role.
• Hands‑on experience with Azure Synapse Analytics (SQL pools and/or Spark).
• Experience building data pipelines with Azure Data Factory or equivalent tooling.
• Practical experience implementing Medallion Architecture, specifically Bronze and Silver layers.
• Strong SQL skills and experience using Spark / PySpark.
• Experience working with Azure Data Lake Storage Gen2.

Responsibilities

• Design, build, and maintain scalable data pipelines using Azure Synapse Analytics, Azure Data Factory, and/or Microsoft Fabric.
• Ingest data from multiple enterprise sources into the Bronze layer.
• Transform and curate data into the Silver layer with standardization and enrichment.
• Implement data quality checks, validation rules, and monitoring for trusted datasets.
• Develop and optimize SQL and Spark workloads for performance and cost efficiency.
• Collaborate with BI developers, analytics engineers, data scientists, and stakeholders.
• Follow enterprise standards for data security, governance, and access control.
• Contribute to documentation, architectural patterns, and platform improvement initiatives.

Skills

Azure Synapse Analytics

Azure Data Factory

Microsoft Fabric

Bronze and Silver layers

Medallion Architecture

SQL

Spark / PySpark

Azure Data Lake Storage Gen2

Tools

Azure DevOps

GitHub Actions

Microsoft Fabric

Job description

Location: Remote - Ohio
Employment Status: Salary Full-Time
Function: Finance
Pay Grade and Range: AEM060-P3 ($112,000 - $140,000)
Bonus Plan:AIP
Target Bonus:10.0

About the Opportunity

We are a $4B global manufacturing enterprise making significant investments in our cloud data and analytics platform. We’re seeking a Senior Analyst-Data Engineer to help design, build, and scale enterprise data pipelines that enable analytics, reporting, and operational insights across the business.

This role sits within our core Analytics team and focuses on working with our Microsoft backbone. You will provision data from multiple enterprise systems into a Medallion Architecture, with hands‑on responsibility for Bronze and Silver layers. The work supports both business intelligence and advanced analytics use cases across the company including: manufacturing, supply chain, and operations.

This position offers the chance to build and improve an accelerating deployment.

What You’ll Do

• Design, build, and maintain scalable data pipelines using Azure Synapse Analytics, Azure Data Factory, and/or Microsoft Fabric.
• Ingest data from multiple enterprise sources (ERP, MES, operational databases, APIs, flat files, cloud sources) into the Bronze layer.
• Transform and curate data into the Silver layer, applying standardization, cleansing, and enrichment logic.
• Implement data quality checks, validation rules, and monitoring to ensure trusted, production‑ready datasets.
• Develop and optimize SQL and Spark (PySpark / Spark SQL) workloads for performance and cost efficiency.
• Collaborate closely with BI developers, analytics engineers, data scientists, and business stakeholders.
• Follow enterprise standards for data security, governance, and access control.
• Contribute to documentation, architectural patterns, and platform improvement initiatives.

Required Qualifications

• 3–5 years of professional experience as a Microsoft Data Engineer or similar role.
• Hands‑on experience with Azure Synapse Analytics (SQL pools and/or Spark).
• Experience building data pipelines with Azure Data Factory or equivalent tooling.
• Practical experience implementing Medallion Architecture, specifically Bronze and Silver layers.
• Strong SQL skills and experience using Spark / PySpark.
• Experience working with Azure Data Lake Storage Gen2.

Preferred Qualifications

• Experience with Microsoft Fabric (Lakehouse, Warehouses, Notebooks, Dataflows Gen2).
• Manufacturing or industrial domain experience (ERP, MES, supply chain, operations data).
• Exposure to tools such as Azure DevOps or GitHub Actions.
• Experience working in a large, enterprise environment.

What We Offer

• Competitive base salary with bonus potential.
• Comprehensive benefits package (health, retirement, paid time off).
• Clear growth path within data engineering and analytics.
• Collaborative culture with strong leadership support for data‑driven decision making.

Lincoln Electric is an Equal Opportunity Employer. We are committed to promoting equal employment opportunity for applicants, without regard to their race, color, national origin, religion, sex (including pregnancy, childbirth, or related medical conditions, including, but not limited to, lactation), sexual orientation, gender identity, age, veteran status, disability, genetic information, and any other category protected by federal, state, or local law.