Senior Data Engineer

ienjoy Home is offering an on-site Senior Data Engineer opportunity in Clearwater, FL. This role combines hands-on engineering with leadership of a small data team, guiding the design, reliability, and evolution of our data infrastructure. You will own production pipelines, cloud databases, and reporting, while coaching teammates on AI tool usage to improve everyday workflows.

Benefits

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

Responsibilities

• Lead and develop a two-person team consisting of a Data Engineer and a Data Validation Analyst
• Define technical direction and standards for pipeline design, data modeling, and data quality
• Prioritize work across the team, balancing new development with operational reliability
• Review the team’s code, SQL, and validation work, offering guidance to maintain quality
• Establish data quality and validation processes and ensure 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 technical and non-technical stakeholders
• Own 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 for CloudSQL and BigQuery
• Maintain and create ETLs that connect 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
• Oversee channel and order integrations such as order ingestion into Cloud SQL, ERP pushes, and tracking-number automation
• 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 and dashboards with Looker Studio or 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 scheduling
• Advanced SQL skills, including schema design, data modeling, query optimization, and debugging
• Proficient in Python (including Google Colab) for ETL, automation, and data processing
• Experience building and maintaining API integrations
• Solid 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.) in daily work
• Experience integrating data with Google Sheets, Excel, Power Query, and Google Workspace
• Experience with data visualization tools (Looker Studio, Power BI)
• Excellent communication skills and the ability to explain technical concepts to non-technical audiences
• Highly organized, detail-oriented, self-motivated, and a fast learner
• Collaborative mindset and the ability to thrive in a fast-paced environment
• Local to Clearwater, FL, in-office role

Nice to have

• Prior experience leading, mentoring, or coordinating 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