Role: Business Data Engineer
Position Type: Direct Hire, Full-Time
Location: Wenatchee, WA - Remote *occasional travel to HQ in Wenatchee, WA at companies expense*
*Relocation of a candidate is not an option at this time - applicants residing outside of WA state will not be considered*
Annual Salary: $90K-$110K
Are you eager to drive impactful change and explore new frontiers? Do you have a curiosity that challenges the status quo? Are you a self-motivated professional with strong integrity? If so, consider joining our team as a Business Data Engineer.
As a vertically integrated company dedicated to delivering wholesome, eco-friendly products globally, we play a crucial role in our community. Our mission is to establish ourselves as a leading employer, not only in our region but across Washington and beyond. If you are a forward-thinking individual who thrives in an environment of continuous learning and innovation, this could be your perfect fit. We believe you'll thrive with us!
Key Responsibilities:
- Cloud Architecture Development: Design, develop, and manage analytical cloud architecture in Azure Synapse Analytics using Apache Spark (PySpark) to support company-wide reporting and analytics initiatives.
- Data Connectivity: Identify and integrate new data sources into our ecosystem, ensuring smooth data flow and accessibility for analysis and reporting.
- Data Processing: Develop and optimize large-scale data pipelines with PySpark, ensuring efficiency and scalability.
- Environment Segregation: Implement and oversee test and production environments, maintaining integrity through best practices in DevOps and DataOps.
- Data Management: Construct data pipelines with a focus on accuracy, consistency, and timeliness.
- Operational Excellence: Monitor and ensure the successful execution of data import jobs, managing tasks to maintain efficiency across multiple projects.
- Innovation & Collaboration: Partner with the analytics team to transition from data processing to insightful data storytelling.
- Customer Focus: Deliver high-quality service to stakeholders by understanding and addressing their data needs, facilitating informed decision-making.
Experience Required:
- Educational Background: Bachelor's degree in Computer Science, Data Science, Engineering, or a related field; an advanced degree is a plus.
- Technical Skills: Proven expertise with Azure Synapse Analytics, Apache Spark (PySpark), SQL, and data pipeline development.
- Data Integration: Experience in connecting and integrating diverse data sources, including relational databases, APIs, and cloud-based systems.
- ETL Processes: Demonstrated proficiency in designing and managing ETL processes and data transformation workflows.
- Environment Management: Experience with best practices for managing test and production environments, including environment segregation.
- Problem-Solving: Strong analytical skills for troubleshooting complex data issues and optimizing pipelines.
- Collaboration: Proven ability to work with cross-functional teams and communicate effectively with both technical and non-technical stakeholders.
- Project Management: Ability to manage multiple projects, prioritize tasks, and adapt in a fast-paced environment.
- Industry Experience: Preferred experience in the tree fruit, agricultural, or manufacturing industries.
Qualifications:
- Analytical Skills: Expertise in handling data with efficiency, confidentiality, and accuracy.
- Self-Starter: Independent and resourceful, capable of working with minimal supervision.
- Communication: Strong communicator with a commitment to delivering high-quality results through a consultative and collaborative approach.
- Collaboration: Effective team player who can work across various business functions and influence senior leaders.
- Continuous Improvement: Driven by intellectual curiosity, with a focus on continuous improvement through process optimization.
- Learning & Knowledge Transfer: Enthusiastic about learning and sharing knowledge, with the ability to collaborate on software requirements and training documents.
- Adaptability: Embraces change with flexibility and a purpose-driven approach.
- Engagement: Skilled in building connections and ensuring clear communication across all levels of the organization.
Success Defined:
- Enhanced data systems and actionable insights!
All qualified applicants will receive consideration for employment without regard to race, color, national origin, age, ancestry, religion, sex, sexual orientation, gender identity, gender expression, marital status, disability, medical condition, genetic information, pregnancy, or military or veteran status. We consider all qualified applicants, including those with criminal histories, in a manner consistent with state and local laws, including the California Fair Chance Act, City of Los Angeles' Fair Chance Initiative for Hiring Ordinance, and Los Angeles County Fair Chance Ordinance. To the extent our customers require a background check for certain positions, the Company faces a significant risk to its business operations and business reputation unless a review of criminal history is conducted for those specific job positions.
