The role serves as a key technical partner across business, analytics, platform, security, and DevOps teams, translating complex requirements into production ready solutions while supporting data governance, quality, observability, and cost optimization initiatives. It also acts as an escalation point for complex data issues and contributes to design and code reviews to promote engineering best practices. Responsibilities
- Design, build, and deliver complex data solutions aligned with existing platform architecture and enterprise standards.
- Participate in and contribute to design and code reviews, providing constructive feedback and technical guidance to peers.
- Develop and operate ETL / ELT pipelines using AWS services such as Glue, Spark, Athena, Redshift, S3, Lambda, SQS, and DMS.
- Serve as a technical escalation point for complex data pipeline and analytics issues, supporting root-cause analysis and remediation.
- Translate business and analytics requirements into well-structured and documented data models, transformations, and curated datasets.
- Identify and implement performance, scalability, and cost‑optimization improvements within data pipelines and analytics workloads.
- Implement and maintain data quality checks and controls to ensure accuracy, completeness, and consistency.
- Support and collaborate with offshore engineers by clarifying requirements, reviewing work, and reducing delivery friction.
- Embed observability, logging, monitoring, and alerting into data pipelines and analytics datasets.
- Contribute to the adoption of data governance, lineage, and quality practices across the data platform.
- Collaborate closely with platform, DevOps, security, architecture, integration, application and analytics teams.
- Partner with vendors during design and delivery phases, supporting stabilization and production readiness.
- Promote and follow engineering best practices for code quality, testing, documentation, and operational support.
- Support enterprise reporting using Tableau backed by Redshift, Athena, or Lakehouse architecture.
- Professional experience in the role:
• 2+ years - Professional experience in the functional area:
• 5+ years
- Data Architecture
- Cloud Data Platforms
- Data Analytics
- Data Governance
Advanced
- SQL, Python, and Spark
- AWS or other Cloud Computing platforms
- CI/CD pipelines
Intermediate
- Cloud Architecture best practices, including:
• Least-privilege access
• Role-based permissions
• Service-to-service authentication
• VPNs
• Logging & observability
• Cross-account access - Tableau or other data analytics platforms
- Application of Data Governance and Data Quality frameworks
- Message queue services (SQS, RabbitMQ) within data solutions
Basic
- Implementation of GenAI or LLM-based solutions
Compensation & Benefits:
The following information is provided in good faith as a general description of the salary range and benefits for the position posted. The actual compensation offered to the successful candidate is dependent upon experience, skills, education, work location, internal pay equity, and other objective job-related factors.
Salary Range estimated for the Sr. Data Services Developer: $115,000 to $130,000 USD.
Driscoll’s is committed to a culture of care and offers an attractive benefits package that includes comprehensive medical, dental, and vision coverage, life insurance, and disability coverage for positions working more than 30 hours per week. Other benefits include: 401(k) with employer match, profit-sharing participation, paid sick time, paid vacation, paid personal and family care leave, and a free Employee Assistance Program (EAP). More detailed information regarding the benefits package will be shared during the application process.
Skills Required
- Professional experience in the role: 2+ years
- Professional experience in the functional area: 5+ years
- Advanced SQL skills
- Advanced Python skills
- Advanced Spark skills
- Advanced AWS skills
- Experience with CI/CD pipelines
- Intermediate knowledge of Cloud Architecture best practices
- Intermediate experience with Tableau or other data analytics platforms
- Basic experience in GenAI or LLM-based solutions
What We Do
Driscoll’s is the global market leader for fresh strawberries, blueberries, raspberries and blackberries. With more than 100 years of farming heritage and hundreds of independent growers around the world, Driscoll’s is passionate about growing great tasting berries. Driscoll’s exclusive patented berry varieties are developed through years of research using only natural breeding methods – that means no GMOs. A dedicated team of agronomists, breeders, sensory analysts, plant pathologists and entomologists help grow baby seedlings that are then grown on family farms. Our independent berry growers then work with Mother Nature, using experience and know-how to get the very best out of each strawberry, blueberry, blackberry and raspberry plant. Driscoll’s is serious about yummy berries! Driscoll’s is the trusted brand for Only the Finest Berries ™.
