Senior Data Engineer

On site in Clearwater, Florida, this Senior Data Engineer role blends hands-on development with leadership of a small data team and guidance on AI tooling. You will shape production pipelines, cloud databases, and reporting, driving reliability across the full data lifecycle.

Benefits

• 401(k)
• 401(k) matching
• Dental insurance
• Employee discount
• Health insurance
• Health savings account
• Paid time off
• Vision insurance

Responsibilities

• Lead and mentor a two-person team: a Data Engineer and a Data Validation Analyst
• Set technical direction and standards for pipelines, data modeling, and data quality
• Prioritize and assign work across the team, balancing new development with operational reliability
• Review code, SQL, and validation outputs; provide guidance to ensure quality
• Establish data quality checks and validation workflows, ensuring issues are tracked and resolved at the source
• Serve as the escalation point for data issues, driving root-cause analysis and durable fixes
• Coach the team on effective use of AI tooling in daily workflows
• Communicate technical status, risks, and findings clearly to both technical and non-technical stakeholders
• Own and evolve production pipelines powering e-commerce order processing across the full data lifecycle: API integration, ETL design, SQL modeling, orchestration, and operational reliability
• Design, build, and optimize database schemas and data models across CloudSQL and BigQuery
• Maintain and create ETLs that connect to external APIs and internal systems
• Develop and own API integrations that bring data from sales channels and ERP into the internal database
• Manage GCP data infrastructure, including CloudSQL, BigQuery, and VM cron job scheduling
• Build and maintain CI/CD and automation using GitHub Actions and YAML workflows
• Manage channel and order integrations (order ingestion into CloudSQL, pushing orders into the ERP, tracking-number automation) and improve them over time
• Maintain security best practices, including IAM authentication across databases and tooling
• Connect data pipelines to Google Sheets, Excel, and the broader Google Workspace for reporting
• Support and maintain reporting dashboards (Looker Studio / Power BI)
• Monitor systems, troubleshoot issues promptly, and implement lasting solutions

Requirements

• 4+ years in data engineering or a closely related role with ownership of production data pipelines
• Strong hands-on experience with Google Cloud Platform: CloudSQL, BigQuery, and VM cron job scheduling
• Advanced SQL, including schema design, data modeling, query optimization, and debugging
• Proficiency in Python (including Google Colab) for ETL, automation, and data processing
• Experience building and maintaining API integrations
• Familiarity with GitHub, GitHub Actions, and YAML-based CI/CD workflows
• Working knowledge of Linux and shell scripting
• Experience designing and optimizing relational database schemas (PostgreSQL/MySQL)
• Comfort using AI tools (Claude, Gemini, ChatGPT, NotebookLM, etc.) as part of daily work
• Experience integrating data with Google Sheets, Excel, Power Query, and Google Workspace
• Experience with data visualization tools (Looker Studio, Power BI)
• Strong communication skills to explain technical concepts to non-technical audiences
• Highly organized, detail-oriented, self-motivated, and a quick learner
• Collaborative mindset and ability to thrive in a fast-paced environment
• Local to the Clearwater, FL area and comfortable working in an in-office setting

Technologies

• Google Cloud Platform (GCP)
• CloudSQL
• BigQuery
• SQL
• Python
• Google Colab
• GitHub Actions
• YAML
• Looker Studio
• Power BI
• Google Sheets
• Excel
• Power Query
• Google Workspace
• PostgreSQL
• MySQL
• Linux
• Shell scripting
• VM cron job scheduling
• Claude
• Gemini
• ChatGPT
• NotebookLM
• Datastream

Nice to have

• Experience leading, mentoring, or coordinating other engineers or analysts
• Exposure to order-to-fulfillment or supply-chain data flows
• Architectural mindset and strong systems thinking
• Experience with data quality and validation frameworks
• Familiarity with marketing data sources and Datastream-to-BigQuery pipelines

Work location

In person in Clearwater, FL