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Sr. Data Services Developer

Driscoll's Operaciones, S.A. de C.V. -
Watsonville, CA

Quick Apply

Job Details

Full-time
$115,000 - $130,000 a year

Benefits

Profit sharing
Disability insurance
Health insurance
Dental insurance
Family leave
Employee assistance program
Vision insurance
401(k) matching
Life insurance
Paid sick time

Qualifications

Cloud analytics services
Data visualization software proficiency
Continuous Delivery (CD) implementation
Spark
AI tools proficiency
Machine learning projects
SQL
Data Architecture Design (Architecture design skills)
Spark implementation
Data access controls implementation
Access control management
DevOps automation
Technical architecture
Python
Generative AI
Data analytics technologies
Database software proficiency

Full Job Description

About the Opportunity

This role is responsible for designing and delivering scalable, high quality data solutions that enable enterprise analytics and reporting at Driscoll’s. The position combines hands on data engineering with technical leadership, ensuring data pipelines, models, and curated datasets are reliable, performant, and aligned with platform architecture and enterprise standards.

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.

Candidate Profile

Requirements & Experience

Professional experience in the role:
- 2+ years
Professional experience in the functional area:
- 5+ years

Areas of Expertise

Data Architecture
Cloud Data Platforms
Data Analytics
Data Governance

Technical Skills & Certifications

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.

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