Data Engineer – Salesforce

🕒 June 29

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First Advantage

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

👥 HR Tech

☁️ SaaS

🤝 B2B

HR Tech • SaaS • B2B

First Advantage is a leading provider of global software and data for the HR technology market. Enabled by proprietary technology and AI, it delivers employment background screening, digital identity and verification services, APIs, and risk-monitoring products across the employee lifecycle. The company emphasizes automation and continuous identity verification, serving roughly 80,000 organizations in over 200 countries and territories, and maintains large proprietary databases (over one billion records). Headquartered in Atlanta and publicly traded (NASDAQ: FA), First Advantage focuses on helping customers hire smarter and onboard faster through software, data and services.

📋 Description

• Contribute to data profiling initiatives across core RevOps and go-to-market (GTM) systems to evaluate data quality, consistency, and completeness. • Construct, deploy, and maintain scalable data workflows spanning Salesforce, Siebel CRM, Oracle ERP, SQL Server, and Azure Cloud data sources. • Engineer, support, and enhance robust data pipelines and automated transformation processes using SQL and big data technologies (e.g., Python, Hadoop, Spark). • Develop and implement database scripts, triggers, functions, and stored procedures. • Develop automated testing and validation procedures to enhance data quality management and compliance with data governance policies. • Participate with cross-functional teams across the organization to understand data needs within stakeholder contexts and how technical decisions impact analytics and reporting needs. • Work collaboratively with technical teams, operations, product managers, and business stakeholders to ensure alignment and effective implementation of data initiatives. • Identify and communicate data quality improvement process automation opportunities. • Actively contribute and promote a culture of engineering excellence.

🎯 Requirements

• Extensive, hands-on experience working with Salesforce, Siebel CRM, and Oracle ERP. • Familiarity with marketing and sales automation platforms such as Demandbase, SalesLoft, and HubSpot. • Demonstrated proficiency in SQL and experience with large-scale data processing frameworks like Hadoop and Spark. • Experience working with BI/analytics tools, especially Power BI. • Experience with AI-powered database optimization tools. • Experience preparing data sets for use in machine learning and AI applications. • Bachelor's degree in Computer Science, Information Systems, Data Engineering, Software Engineering, Applied Mathematics, or a related technical field required. • 5+ years of progressive experience in data engineering, data integration, or backend data platform development, supporting enterprise-scale data ecosystems. • Cloud and data engineering certifications preferred (e.g., Microsoft Azure Data Engineer Associate, Azure Solutions Architect, or equivalent AWS/GCP credentials).

🏖️ Benefits

• Generous Paid Time Off Program* • Volunteer Time Off (VTO) Policy to encourage involvement in philanthropic activities* • Competitive benefits (medical, dental, etc.)* • Global Employee Assistance Program (EAP) available to all team members • Opportunities to connect with colleagues across six Employee Impact Groups and participate in Employee Experience events throughout the year