Data Engineer

Overview

This is a remote role.
Pay Range: $50/hr – $56/hr​

Our client is a leader in the gaming space and looking for an experienced Data Engineer to join their team. 

Job Responsibilities:

• Respond to internal customer requests, bug fixes and ongoing performance optimizations to maintain data pipeline health and availability
• Support internal partners with data analysis. Communicate with internal partner teams to troubleshoot issues and build new data assets: share insights, learnings and recommendations, best practices.
• Build additional data pipelines as needed. Maintain data quality and integrity.
• Maintain and improve data pipeline health, monitoring and alerting systems to meet and
• Improve SLA for existing data pipelines
• Ensure tools, data pipelines and data adhere to the latest privacy and security compliance guidelines.
• Identify requirements for reports, scorecards, self-serve tools, etc. to help product teams monitor health and business performance of features with each release.
• Identify requirements for data stream telemetry, manage data classifications
• Processing to data storage systems for engineering teams and evaluate improvements from internal partner teams to data pipeline availability and health monitoring
• Automate and streamline regular reports and BI processes including visualization tools like
• Improve existing health and alerting systems with real-time data signal processing

Qualifications:

• 2-4 years of experience processing big data and building system health reports for warm path / near-real time and cold / batch processed data
• Experience with Azure Data Explorer / Kusto and Azure Data Lake / Cosmos
• Knowledge of Azure Data Factory and batch data transform pipelines
• Experience with Kusto Query Language and U-SQL / Cosmos scripts to process big data facts and build out intermediate summary tables
• Experience building PowerBI visualizations from health and usage data aggregated from customer telemetry data pipelines
• Strong written and oral communication skills
• Strong troubleshooting and problem solving skills
• Demonstrated history of success
• Desire to be working with data and helping businesses make better data driven decisions

Top 3 Hard Skills Required + Years of Experience

1. Minimum 3+ years experience with processing big data and building system health reports for near real-time and batch data.
2. Minimum 4+ years experience with Azure Data Explorer (Kusto) and Azure Data Lake (Cosmos)
3. Minimum 4+ years experience with Kusto Query Language and Cosmos scripts, as these are the primary programming languages to be used

The target hiring compensation range for this role is $50/hr – $56/hr. Compensation is based on several factors including, but not limited to education, relevant work experience, relevant certifications, and location.

About Aquent Talent:

Aquent Talent connects the best talent in marketing, creative, and design with the world’s biggest brands.

Our eligible talent get access to amazing benefits like subsidized health, vision, and dental plans, paid sick leave, and retirement plans with a match. We also offer free online training through Aquent Gymnasium. More information on our awesome benefits! 

Aquent is an equal-opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. We’re about creating an inclusive environment—one where different backgrounds, experiences, and perspectives are valued, and everyone can contribute, grow their careers, and thrive.