Data Engineer
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Job Description
Data Engineer developing and maintaining data pipelines and transformation models for analytics at Industrial Electric Manufacturing. Collaborating with stakeholders and ensuring data quality across business decisions.
Responsibilities:
- Build and maintain ELT pipelines using Fivetran and custom integrations that ingest data from source systems including Procore, Salesforce, ERP platforms, and internal databases into Snowflake
- Develop, test, and document dbt models that transform raw data into clean, reliable datasets for analytics and reporting across Finance, Production, Supply Chain, and Engineering
- Build dimensional models and staging layers following team conventions, ensuring data is structured for optimal Tableau dashboard performance and ad-hoc analysis
- Write and maintain dbt tests, monitor data freshness, and investigate data quality issues when they arise, owning resolution through to root cause
- Work with APIs and data connectors to integrate new data sources, troubleshoot ingestion issues, and ensure reliable data flow into the warehouse
- Maintain clear documentation for data models, pipeline configurations, and business logic so the team can understand and extend your work
- Partner with business stakeholders to understand data needs, clarify requirements, and deliver datasets that answer real operational questions
- Monitor query performance and pipeline efficiency, identifying opportunities to optimize warehouse costs and model run times
- Participate in code reviews, follow Git workflows and CI/CD practices, and contribute to improving the team’s development processes
- Stay current with modern data stack tools and practices, bringing ideas for improvement back to the team
- Use AI coding assistants and agent-based tools to accelerate pipeline development, code generation, testing, and documentation. Manage AI agents as part of your daily workflow to increase throughput and quality
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field, or equivalent experience
- 3–5 years of experience in data engineering, analytics engineering, or BI development with hands-on experience building production data pipelines
- Strong SQL skills including CTEs, window functions, complex joins, and query optimization
- Experience with Snowflake or similar cloud data warehouses
- Working experience with dbt (data build tool) for building and testing data transformation workflows
- Proficiency in Python for data processing, scripting, and API integrations
- Experience with data integration platforms such as Fivetran or similar ELT tools
- Familiarity with Tableau or similar BI tools and understanding of how data structure impacts dashboard performance
- Comfortable with Git version control and modern development workflows including code review and CI/CD
- Strong problem-solving skills with ability to debug data issues systematically
- Clear written and verbal communication skills with ability to document work and explain technical concepts to non-technical stakeholders
- Self-motivated with ability to work independently in a remote environment while collaborating across a distributed team
- Experience using AI coding assistants (e.g., Claude, GitHub Copilot) and comfort directing AI agents to perform data engineering tasks such as writing SQL, generating dbt models, and debugging pipeline issues
- Preferred: Experience with manufacturing, construction, or project management data systems such as Procore, ERP platforms, or supply chain tools
- Preferred: Familiarity with dimensional modeling concepts (star schemas, fact/dimension tables).
Benefits:
- We offer comprehensive and competitive benefits package designed to support our employees' well-being, growth, and long-term success.
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