Data Engineer

We are seeking a temporary Data Engineer to support data pipelines, reporting, and analytics needs across cross-functional stakeholders. In this role, you will help design, build, and maintain scalable datasets and data processes that enable reliable metrics, dashboards, and business insights.

Responsibilities

• Build, maintain, and optimize ETL/ELT data pipelines and data models to support reporting and analytics use cases
• Write, troubleshoot, and optimize SQL queries for data extraction, transformation, validation, and performance
• Develop and maintain reporting datasets and documentation to improve data reliability and usability
• Partner with internal stakeholders to understand requirements and translate them into well-defined data solutions
• Implement data quality checks and monitoring to ensure accuracy, completeness, and timeliness of data outputs
• Support ad hoc data analyses and investigate data issues as needed

Key Skills

• 4+ years of experience as a Data Engineer, BI Engineer, or Analyst in a product- or service-based company
• 2+ years of experience working with SQL, ETL, and reporting (including building or supporting production data pipelines)
• Experience in at least one programming language (e.g., Python or C++)
• Experience working with structured datasets, data modeling concepts, and analytics/reporting workflows
• Strong communication skills, including the ability to document processes and explain technical concepts clearly

Top 3 Skills

• SQL
• Python
• AI Usage
• Visualization/Dashboard Development

Bonus Skills

• Data Logging
• Past experience working for a product-based tech company