Data Engineer : Remote

Job Role:

Data Engineer

Job Location:

Remote/Onsite (5days/week)

Job Type: Contract

Pay Range: $65 - $70 /hour

We are seeking a skilled Data Engineer with experience in building scalable data pipelines, analytics solutions, and business intelligence platforms. The ideal candidate should have strong expertise in SQL, Python, data warehousing, dashboard development, and data visualization. The candidate will work closely with business stakeholders, product teams, and data consumers to transform raw data into actionable insights and support data-driven decision-making.

• Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
• Build and support analytics solutions that convert large volumes of operational and transactional data into meaningful business insights.
• Develop data models and optimize SQL queries for reporting and analytics needs.
• Create dashboards and BI reports to monitor business KPIs and operational health metrics.
• Collaborate with business users, product teams, and engineering teams to gather requirements and deliver data solutions.
• Implement data quality controls, monitoring, and alerting mechanisms to ensure accuracy and reliability.
• Support data migration, integration, and modernization initiatives across enterprise platforms.
• Participate in Agile ceremonies including sprint planning, backlog grooming, and stakeholder reviews.
• Analyze business data and provide recommendations to improve operational efficiency and business performance.

• Data Engineering
• Data Pipeline Development
• ETL/ELT Processes
• Data Integration
• Data Modeling
• Data Warehousing
• Data Migration
• Data Quality Management
• Analytics Engineering
• Programming & Querying
• SQL
• Presto SQL
• SAS SQL
• Python
• MySQL
• Cloud & Data Platforms
• Snowflake
• Large-scale Analytics Platforms
• Data Storage and Processing Solutions
• Business Intelligence & Reporting
• Tableau
• SAP Business Objects
• Dashboard Development
• KPI Reporting
• Data Visualization
• Executive Reporting
• Tools & Methodologies
• Jira
• Asana
• Agile/Scrum
• Requirements Gathering
• Stakeholder Management

• Experience supporting consumer technology, financial services, or enterprise analytics environments.
• Experience working with user-level telemetry, operational analytics, and real-time monitoring dashboards.
• Experience with AI-driven analytics or automation solutions.
• Strong understanding of business intelligence and reporting best practices.
• Experience working with cross-functional business and engineering teams.

• Bachelor's degree in information technology, Computer Science, Information Systems, Engineering, or a related field.

• Digital : BI Data Visualization
  - Tableau
• Digital : NOSQL
• Agile Dev Ops for Senior Management
• Digital :
  Python for Data Science
• AI and Automation
• AI & Gen AI
  - Products & Tools Experience
  
  Required:
  
  8-10