Data Engineer
Locations: McLean, VA , Riverwoods, IL (Chicago area)
Duration: +12 Months contract
Interview: Video
Visa: USC, GC, GC/EAD, H4/EAD
Job Description:
Project Overview
You’ll build and support scalable, AWS-based data solutions that enable emerging consumer and business data needs.
Responsibilities:
Design, develop, and optimize scalable data pipelines.
Build data solutions for evolving consumer and business requirements.
Develop and maintain cloud-based data engineering solutions on AWS.Use Snowflake for enterprise data storage and processing.
Create dashboards and support data consumption across platforms.
Implement and enhance monitoring, observability, and operational excellence practices.
Monitor production workflows and respond to incidents, including through PagerDuty.
Collaborate with business and technology teams to deliver reliable data products.
Required Qualifications:
- 6+ years of data engineering experience.
- Strong hands-on expertise with AWS data engineering services.
- Proven experience with PySpark, AWS Glue, Snowflake, SQL, and Databricks.
- Experience building and supporting enterprise-scale data pipelines.
- Knowledge of dashboard development, monitoring, and observability solutions.
- Comfort working in production environments and supporting critical data workflows.
- Ability to work onsite three days per week in McLean, VA or Riverwoods, IL.Preferred Qualifications
- Experience with PagerDuty and production incident response.
- Background in payments, financial services, or other large-scale data environments.