Amy's Kitchen-posted 3 months ago
$97,600 - $146,400/Yr
Full-time • Mid Level
Petaluma, CA
1,001-5,000 employees

The Application Engineer is responsible for developing, integrating, and maintaining data applications, pipelines, and processes across platforms such as Azure Data Factory, Azure Synapse, Databricks, SQL, Power BI, and Oracle BI tools. They collaborate with business analysts, internal customers, and developers to clarify requirements, design solutions, and implement features, reports, and dashboards. The role involves creating workflows that ingest, clean, and transform data from multiple sources, ensuring reliable, timely, and analytics-ready datasets. Additionally, the Data Engineer supports and administers assigned applications and ETL/ELT processes, while ensuring the organization’s data foundation is secure, efficient, and scalable to meet the needs of analysts, data scientists, and business stakeholders.

  • Design, build, maintain, and improve custom data processes and pipelines using ETL/ELT processes.
  • Analyze business requirements and use cases and translate them into technical solution designs.
  • Write groups of tests that exercise multiple requirements scenarios.
  • Suggest and document user acceptance testing and facilitate the process and training of testers.
  • Perform support for escalated support issues.
  • Troubleshoot data application, process, and pipeline issues.
  • Participate in development planning, project management, and agile activities.
  • Manage revision control for owned projects.
  • Identify and perform day-to-day administrative tasks in supported application and data platforms.
  • Four-year degree in CS or related field or equivalent experience.
  • 2-5 years of experience in data engineering and analytics.
  • Experience with project management and delivery methodologies.
  • Knowledge of report building tools and concepts.
  • Excellent verbal and written communication skills.
  • Experience with SQL, PL/SQL, DAX, Power Query (M), and shell scripting.
  • Hands-on experience with Azure Data Factory, Azure Synapse, Databricks, ETL/ELT tools.
  • Strong understanding of data modeling, analytics, and reporting concepts.
  • Azure Data Engineer Associate certification.
  • Databricks Certified Data Engineer Associate/Professional certification.
  • Power BI Data Analyst Associate certification.
  • Comprehensive health plans with Medical, Dental, and Vision coverage.
  • Flexible Spending Accounts.
  • Mental health support with Modern Health.
  • 401(k) Retirement Plan with employer match.
  • Referral Rewards and Scholarship Program.
  • Tuition Reimbursement Program.
  • Paid parental leave for new parents.
  • Paid Time Off for vacations and sick days.
  • 9 paid US Holidays annually.
  • Amy's product discount reimbursement.
  • Remote gym discounts.
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