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.
This role is remote, but candidates must be willing work Pacific time business
hours.
Essential Job Functions/Tasks:
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.
Education/Training Required and Preferred:
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.
What You Bring:
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.
What We Offer:
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
[http://corporate.hunterindustries.com/careers]
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.
The Company complies with all federal/local/state regulations in regard to pay.
The above represents the expected hourly range for this job requisition.
Compensation offered to the successful candidate will be determined by
qualifications, prior experience, other job-related factors, and geographic
location.