Senior Data Engineer

🔥 1 minute ago

🇺🇸 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

🏗️ Construction

🏥 Healthcare

📦 Logistics

Construction • Healthcare • Logistics

Hunter Industries is a global manufacturer of irrigation, lighting, and dispensing products and systems for residential, commercial, golf, and agricultural customers. The company designs and produces irrigation hardware (rotors, nozzles, valves, sensors), controllers and water-management software (including internet-connected controllers), architectural and landscape lighting, and custom manufacturing solutions. Hunter emphasizes water conservation, professional support for contractors/designers/distributors, and integrated hardware-plus-software solutions for efficient outdoor water and lighting management.

📋 Description

• Design, develop, and optimize data pipelines and workflows for data ingestion, transformation, and delivery across enterprise platforms • Integrate structured and semi-structured data from Oracle Fusion, on-premises databases, and cloud applications into the Snowflake data platform • Apply data cleansing, validation, enrichment, and quality controls • Monitor and tune pipelines and storage solutions for scalability, performance, and cost-effectiveness • Implement governance, security, and compliance practices aligned with enterprise standards • Collaborate with architects, analysts, and data scientists to deliver Power BI analytics, reporting, AI/ML, and self-service solutions • 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 • Demonstrated 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 and cloud object storage such as OCI Object Storage or Azure Blob • Proficiency in SQL and Python, including Snowflake SQL, dbt, Azure Data Factory, or Airflow • 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, 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 • Strategic mindset with curiosity for emerging technologies, particularly AI and ML applications, including Snowflake Cortex and Power BI Copilot • Master’s degree or advanced training in data engineering, cloud platforms, or analytics preferred

🏖️ Benefits

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

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