Senior Data Engineer

Hunter Industries

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

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, with a strong focus on integrating data from various sources into the Snowflake platform. Proficient in data governance, security practices, and delivering analytics solutions using Power BI.

Highest-signal resume keywords

Data EngineeringSnowflake Data SolutionsPower BI ReportingData IntegrationELT/ETL Orchestration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData Pipeline OptimizationData CleansingData ValidationData MigrationSource-to-Target MappingCloud Data PlatformsData GovernancePerformance Tuning

Soft Skills

LeadershipCollaborationCommunicationMentoringStrategic Mindset

Tools & Technologies

SnowflakePower BIAzure Data FactoryOCI Object StorageAzure BlobAirflowOracle FusionSQL ServerDbtAI/ML Applications

Industry Keywords

Data EngineeringData IntegrationData GovernanceCloud PlatformsEnterprise Data Solutions

Tech Stack

Tools & technologies

AirflowAzureCloudERPETLOraclePythonSnowflakeSQL

About the role

Key responsibilities & impact

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

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
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

Comp & perks

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