Google Colab Engineer Jobs

1 job found

1mo ago

Senior Data Engineer

ienjoy Home Clearwater, FL

Clearwater, FL

1mo ago Closed

Full time Senior Analytical Skills Analytics

This position is no longer accepting applications (closed Jul 27, 2026).

Job Description

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

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