Senior Data Engineer

Hunter Industries

. Design, develop, and optimize data pipelines and workflows for enterprise data ingestion, transformation, and delivery .

Posted 11/3/2026full-timeRemote • United StatesSenior💰 $115,000 - $145,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and optimizing data pipelines and workflows for enterprise data solutions, with a strong focus on Snowflake and Power BI integration. Proficient in data governance, security practices, and collaboration with cross-functional teams to deliver data-driven outcomes.

Highest-signal resume keywords

Snowflake Data SolutionsData Integration from Oracle FusionELT/ETL Orchestration ToolsSQL and Python ProficiencyData Governance and Security Frameworks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignData TransformationData Quality ControlData MigrationSQLPythonSnowflake SQLDbtPerformance TuningData Validation

Soft Skills

Strong CommunicationLeadership SkillsMentoringCollaborationCuriosity for Emerging Technologies

Tools & Technologies

SnowflakePower BIAzure Data FactoryAirflowOCI Object StorageAzure Blob Storage

Industry Keywords

Data EngineeringData GovernanceCloud Data PlatformsEnterprise Data SolutionsData Analytics

Tech Stack

Tools & technologies

AirflowAzureCloudERPETLOraclePythonSnowflakeSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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