Data Engineer

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Job Title: Data Engineer

Location: Hybrid 4 days onsite in Fort Lauderdale, FL

Job-Type: Direct Hire (We can only consider US Citizens or Green Card Holders at this time)

Overview: We are supporting a high-impact client in the AI and enterprise IT space in building out their data and analytics team. This initiative is aimed at creating a modern cloud-based analytics stack to support AI-enabled dashboards using ThoughtSpot. This is a high-ownership opportunity to work directly with the CTO and take responsibility for building and launching the data infrastructure.

Key Responsibilities:

• Understand raw data in on-prem SQL Server environments
• Identify relevant data for extraction and design structures optimized for analytics
• Design and manage ETL pipelines using Fivetran
• Extract and transfer on-prem SQL data into Google BigQuery
• Stand up a BigQuery environment from scratch, including project setup and security configuration
• Build and normalize tables and schemas in BigQuery
• Support future dashboarding and reporting in ThoughtSpot
• Consider long-term scalability, data governance, and schema design

Skills & Experience:

• Fivetran ETL: 3+ years of experience, including extracting data from on-prem SQL Servers
• Google BigQuery: 3+ years with proven experience building projects from the ground up
• SQL: Strong understanding of joins, normalization, and transformations
• Cloud Setup: Experience configuring Google Cloud Projects, IAM, and permissions for BigQuery
• BI Tooling (Bonus): Exposure to ThoughtSpot, Cognos, or similar modern BI tools
• Must be a self-starter capable of independent work in greenfield environments
• Comfortable being the sole data engineering expert in the organization during the project’s early phase
• Excellent communication and proactive problem-solving skills

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Equal Employment Opportunity Statement
Gravity IT Resources is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all employees and applicants. We do not discriminate on the basis of race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, veteran status, or any other legally protected characteristic. All employment decisions are based on qualifications, merit, and business needs.