Data Engineer

1. Designs, develops, and optimizes data pipelines and workflows for ingestion, transformation, and delivery of data across enterprise platforms.
2. Integrates structured and semi-structured data from diverse sources-Oracle Fusion (ERP/EPM), on-premises databases, and cloud applications (APIs, external systems)-into the Snowflake data platform.
3. Applies data cleansing, validation, enrichment, and quality controls to ensure accuracy, consistency, and trust in enterprise data.
4. Monitors and tunes pipelines and storage solutions for scalability, performance, and cost-effectiveness.
5. Implements governance, security, and compliance practices in alignment with enterprise standards.
6. Collaborates with architects, analysts, and data scientists to deliver solutions that support Power BI analytics, reporting, AI/ML, and self-service use cases.
7. Provides technical leadership by guiding best practices in pipeline design, coding standards, and system optimization.
8. Mentors junior engineers and contributes to knowledge sharing across the Data & Analytics team.
9. Evaluates and adopts emerging technologies, tools, and practices that strengthen the enterprise’s data capabilities.
10. Partners with business stakeholders to understand use cases, translate requirements, and deliver practical, sustainable solutions., * Amazing corporate culture - we walk the walk when it comes to our values! * 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 and profit sharing bonus

Follow us on LinkedIn, check out our rave reviews on Glassdoor, and learn more about our company culture on our career site: http://corporate.hunterindustries.com/careers, Deploys, maintains, troubleshoots, and scales physical server, network, and cabling infrastructure across production data centers. Responsibilities include rack-and-stack deployments, structured cabling, hardware repairs, network fault remediation, ticket and corrective maintenance management, asset documentation, and coordination with engineering teams and remote-hands vendors. The role requires hands-on technical work, lifting up to 50 pounds, U.S. citizenship, and up to 50% domestic and international travel. Top Skills: Ai-Assisted Engineering ToolsAutomationBiosCopper CablingFiber OpticsIdracIloIpmiLinux/UnixNetwork HardwareScriptingServer PlatformsStructured Cabling Block

• Bachelor’s degree in Computer Science, Data Science, Software Engineering, or related quantitative field required or a combination of education and relevant work experience.
• Master’s degree or advanced training in data engineering, cloud platforms, or analytics preferred.

Experience Required and Preferred:

• 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 building and optimizing scalable data pipelines and architectures on Snowflake, using ELT/ETL orchestration tools such as Azure Data Factory, and cloud object storage (e.g., OCI Object Storage, Azure Blob).
• Proficiency in SQL and Python, with strong experience in Snowflake SQL, dbt for transformation, and pipeline orchestration tools such as 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 source-to-target mapping, historical data conversion, validation and reconciliation, and cutover planning to minimize business disruption.
• Familiarity with data governance and security frameworks, including metadata, lineage, role-based access controls, and privacy-by-design, applied within Snowflake and the Power BI semantic model.
• 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 in data engineering, including Snowflake Cortex and Power BI Copilot.

Designs and leads enterprise data pipelines and integrations across Snowflake, Oracle Fusion, on-premises databases, and cloud applications. Ensures data quality, governance, security, scalability, and performance while supporting Power BI, AI/ML, and self-service analytics. Partners with business and technical stakeholders, leads migrations, mentors engineers, optimizes data platforms, and establishes engineering best practices. The summary above was generated by AI, 150K-250K Annually Senior level 150K-250K Annually Senior level Fintech * Software * Financial Services Own data pipelines into and out of the warehouse, dbt models, data integrity, governance, identity resolution, reverse ETL, and quality monitoring across growth, lifecycle, and brokerage data. Partner with product, marketing, and operations teams to establish data contracts, ensure accurate and timely business metrics, and support regulated financial data requirements. Top Skills: AirflowArgo WorkflowsChange Data CaptureDatadogDbtFivetranKubernetesPythonReverse EtlSegmentSnowflakeSQL Zscaler, 168K-297K Annually Senior level 168K-297K Annually Senior level Blockchain * eCommerce * Fintech * Payments * Software * Financial Services * Cryptocurrency Lead product data engineering across architecture, data modeling, pipelines, monitoring, lineage, and data quality. Build reliable analytical datasets, support experimentation and machine learning use cases, and resolve business-critical pipeline issues. Partner with product and engineering stakeholders to translate business needs into automated data solutions. The role requires ownership of end-to-end data engineering projects, on-call participation, and development of AI-assisted monitoring and automation. Top Skills: AirflowDatabricksDbtGitOmniPrefectPythonSnowflakeSQLTerraform

What you need to know about the Colorado Tech Scene

With a business-friendly climate and research universities like CU Boulder and Colorado State, Colorado has made a name for itself as a startup ecosystem. The state boasts a skilled workforce and high quality of life thanks to its affordable housing, vibrant cultural scene and unparalleled opportunities for outdoor recreation. Colorado is also home to the National Renewable Energy Laboratory, helping cement its status as a hub for renewable energy innovation.

Key Facts About Colorado Tech

• Number of Tech Workers: 260,000; 8.5% of overall workforce (2024 CompTIA survey)
• Major Tech Employers: Lockheed Martin, Century Link, Comcast, BAE Systems, Level 3
• Key Industries: Software, artificial intelligence, aerospace, e-commerce, fintech, healthtech
• Funding Landscape: $4.9 billion in VC funding in 2024 (Pitchbook)
• Notable Investors: Access Venture Partners, Ridgeline Ventures, Techstars, Blackhorn Ventures
• Research Centers and Universities: Colorado School of Mines, University of Colorado Boulder, University of Denver, Colorado State University, Mesa Laboratory, Space Science Institute, National Center for Atmospheric Research, National Renewable Energy Laboratory, Gottlieb Institute

Hunter Industries is seeking a Senior Data Engineer who designs, develops, and maintains enterprise data systems and pipelines that enable the organization to use data as a strategic asset. This role provides technical leadership and expertise in building scalable, efficient, and governed data solutions that support analytics, reporting, and advanced use cases such as AI and machine learning. The Senior Data Engineer acts as a bridge between business needs and technology implementation, ensuring data systems are reliable, performant, and aligned with enterprise standards., Hunter is a global leader in the irrigation, outdoor lighting, dispensing technology, and custom manufacturing industries. Driving our continued success is the combined energy and talents of the nearly 4,000 people on our team. Together, we create a diverse array of products that can be seen all over the world, from residential landscapes to national landmarks, stadiums, parks, hotels, and municipal buildings.

Hunter Industries and its Family of Companies is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, disability, gender, gender identity or expression, military and veteran status, national origin, race, religion, sexual orientation, or any other applicable legally protected status or characteristic.

The annual salary for this opportunity ranges from $115,000 - $145,000.