Associate Data Engineer

🕒 May 30

🇺🇸 United States – Remote

💵 $72k - $90k / year

⏰ Full Time

🟢 Junior

🟡 Mid-level

🚰 Data Engineer

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insightsoftware

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

☁️ SaaS

💸 Finance

🏢 Enterprise

💰 $798.6M Private Equity Round - insightsoftware on 2021-07

SaaS • Finance • Enterprise

insightsoftware is a provider of financial and operational reporting software and data analytics solutions for the Office of the CFO. Its cloud-enabled platform and pre-built connectors integrate with major ERPs (Oracle, SAP, Microsoft and 140+ others) to deliver financial reporting, budgeting/planning, consolidation, tax and lease lifecycle management, embedded analytics, and automation tools. The company serves finance, accounting, and operations teams with AI-enabled features, data virtualization, and turnkey templates to accelerate reporting, planning, and compliance.

📋 Description

• Design, build, and maintain ELT/ETL pipelines that move data reliably from source systems into a cloud data warehouse environment. • Write clean, performant, and well-documented SQL to transform raw data into analyst-ready models and reporting layers. • Develop and maintain Power BI dashboards and reports that give business stakeholders clear, trusted views of company performance. • Apply best practices in data modeling within Power BI (star schemas, DAX measures, performance optimization). • Actively use AI tools (such as LLM assistants, copilots, and agentic workflows) to accelerate development and improve code quality. • Engage directly with business stakeholders to understand data needs in context.

🎯 Requirements

• 3+ years of hands-on data engineering or analytics engineering experience in a professional setting • Strong SQL skills: complex joins, window functions, query optimization, and data modeling. • Demonstrated Power BI proficiency, including report development, data modeling, and DAX. • Experience working with cloud data warehouse platforms (Snowflake, BigQuery, Redshift, or similar). • Proven, active use of AI tools in daily data work, not just awareness. • Ability to engage with business stakeholders and translate requirements into data solutions. • Strong written and verbal communication skills.

🏖️ Benefits

• Health insurance • Retirement plans • Paid time off • Flexible work arrangements • Professional development opportunities • Bonus eligibility