Senior Data Engineer

🕒 November 3

🇺🇸 United States – Remote

💵 $115k - $145k / year

⏰ Full Time

🟠 Senior

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

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Hunter Industries

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1981

🏭 Manufacturing

🔧 Hardware

🌾 Agriculture

Manufacturing • Hardware • Agriculture

Hunter Industries is a global manufacturer of irrigation and lighting products and systems for residential, commercial, golf, and agricultural customers. The company designs and supplies sprinklers, rotors, controllers (including internet-connected/remote-management solutions), valves, sensors, drip and micro-irrigation components, and landscape/architectural lighting, plus design tools and water-management software to support contractors, designers, municipalities, and homeowners. Hunter emphasizes water conservation, system efficiencies, custom manufacturing, and professional training and support.

📋 Description

• Design, develop, and optimize data pipelines and workflows for enterprise data ingestion, transformation, and delivery • Integrate structured and semi-structured data from Oracle Fusion, on-premises databases, cloud applications, APIs, and external systems into Snowflake • Apply data cleansing, validation, enrichment, and quality controls • Monitor and tune pipelines and storage solutions for scalability, performance, and cost-effectiveness • Implement data governance, security, and compliance practices • Collaborate with architects, analysts, and data scientists to support Power BI analytics, reporting, AI/ML, and self-service use cases • Provide technical leadership on pipeline design, coding standards, and system optimization • Mentor junior engineers and contribute to knowledge sharing across the Data & Analytics team • Evaluate and adopt emerging technologies, tools, and practices • Partner with business stakeholders to understand use cases, translate requirements, and deliver sustainable solutions

🎯 Requirements

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related quantitative field required, or a combination of education and relevant work experience • Minimum five years’ experience in data engineering, data integration, and optimization • Proven experience developing and maintaining enterprise-scale data solutions on Snowflake, with Power BI as the primary reporting and semantic layer • Experience integrating data from Oracle Fusion (ERP/EPM) and other on-premises and cloud applications • Experience working with business stakeholders and senior leadership to deliver data-driven outcomes • Experience migrating data from legacy and enterprise source systems to modern cloud data platforms, including source-to-target mapping, data validation, and reconciliation • Expertise in scalable data pipelines and architectures on Snowflake • Experience with ELT/ETL orchestration tools such as Azure Data Factory or Airflow • Experience with cloud object storage such as OCI Object Storage or Azure Blob • Proficiency in SQL and Python, including Snowflake SQL and dbt • Strong knowledge of relational databases and enterprise source systems, including Oracle Fusion (ERP/EPM) and SQL Server • Experience planning and executing source system migrations, including historical data conversion, validation and reconciliation, and cutover planning • Familiarity with data governance and security frameworks, including metadata, lineage, role-based access controls, and privacy-by-design • Ability to collaborate across technical and business teams and translate requirements into sustainable solutions • Skill in diagnosing and resolving performance issues in cloud-based data environments, including Snowflake query and warehouse optimization and Power BI semantic model/refresh tuning • Strong communication and leadership skills with the ability to mentor peers and influence best practices • Curiosity for emerging technologies, particularly AI and ML applications in data engineering, including Snowflake Cortex and Power BI Copilot • Willingness to work Pacific Time business hours

🏖️ Benefits

• Amazing corporate culture and values-driven workplace • Beautiful 20-acre park-like campus with creek and walking trails • On-site wellness center with personal training, fitness classes, and massage • Company events • Company donation matching and volunteer rewards • Career development opportunities • Profit-sharing bonus

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