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Sr. Data Services Developer
Job in
Watsonville, Santa Cruz County, California, 95076, USA
Listed on 2026-05-29
Listing for:
Driscoll Strawberry Associates, Inc
Part Time
position Listed on 2026-05-29
Job specializations:
-
IT/Tech
Data Engineering, Data Analyst, Data Security, Cloud Computing
Job Description & How to Apply Below
The role serves as a key technical partner across business, analytics, platform, security, and Dev Ops 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, Dev Ops, 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
VPNsLogging & observability
Cross-account access
Tableau or other data analytics platforms
Application of Data Governance and Data Quality frameworks
Message queue services (SQS, Rabbit
MQ) 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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