Senior Data Engineer

Based in Clearwater, Florida, the Senior Data Engineer will design, maintain, and evolve ienjoy Home's data infrastructure, including production pipelines, cloud databases, and reporting. This on-site role combines hands-on engineering with leadership of a small team and coaching on the use of AI tools in daily workflows.

Responsibilities

• Guide and develop a two-person data team consisting of a Data Engineer and a Data Validation Analyst
• Define technical direction and standards for pipeline design, data modeling, and data quality controls
• Prioritize and allocate work across the team, balancing new development with operational reliability
• Review the team's code, SQL, and validation outputs to ensure quality
• Implement data quality and validation processes, ensuring issues are tracked and resolved at the source
• Act as the escalation point for data issues, performing root-cause analysis and durable fixes
• Train the team on effective use of AI tooling in daily workflows
• Present technical status, risks, and findings to both technical and non-technical stakeholders
• Manage and evolve production pipelines powering e-commerce order processing across the full data lifecycle, including API integration, ETL design, SQL modeling, orchestration, and reliability
• Design, build, and optimize database schemas and data models in CloudSQL and BigQuery
• Develop ETLs that connect external APIs and internal systems
• Build and own API integrations to ingest data from sales channels and ERP into the internal database
• Oversee GCP data infrastructure, including CloudSQL, BigQuery, and VM cron scheduling
• Establish and maintain CI/CD and automation using GitHub Actions and YAML workflows
• Manage channel and order integrations such as ingesting orders into CloudSQL, pushing orders to ERP, and tracking-number automation, with ongoing improvements
• Enforce 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 using Looker Studio and Power BI
• Monitor systems, troubleshoot issues promptly, and implement lasting solutions

Requirements

• 4+ years in data engineering or a closely related role, with experience owning production data pipelines
• Proven hands-on experience with Google Cloud Platform (GCP): CloudSQL, BigQuery, and VM cron job scheduling
• Advanced SQL skills including schema design, data modeling, query optimization, and debugging
• Proficient in Python for ETL, automation, and data processing (familiarity with Google Colab)
• Experience building and maintaining API integrations
• Strong 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)
• Comfortable using AI tools (Claude, Gemini, ChatGPT, NotebookLM, etc.) as part of daily workflows
• Experience integrating data with Google Sheets, Excel, Power Query, and Google Workspace
• Experience with data visualization tools (Looker Studio, Power BI)
• Excellent communication skills for explaining technical concepts to non-technical audiences
• Highly organized, detail-oriented, self-motivated, and eager to learn
• Collaborative and adaptable, thriving in a fast-paced environment
• Local to the Clearwater, FL area and able to work in the office

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

Benefits

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

Nice to Have

• Prior experience leading, mentoring, or coordinating work of other engineers or analysts
• Experience with 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, onsite in Clearwater, FL