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.
ResponsibilitiesBuild, 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 Skills4+ 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 SkillsSQL
Python
AI Usage
Visualization/Dashboard Development

Bonus SkillsData Logging
Past experience working for a product-based tech company