Data Platform Engineer (AWS / Python / Snowflake)

Job Title: Data Platform Engineer

Work Arrangement: Hybrid (Onsite 2–3 days/week in McLean, VA)

Industry / Environment: Enterprise Banking / Financial Services Consulting

Work Authorization: Must be a US Citizen or GC Holder.

Role Overview We are seeking a hands-on Data Platform Engineer to design, automate, and maintain end-to-end data pipelines and cloud infrastructure supporting a major banking client. In this role, you will bridge software engineering and data infrastructure—writing backend services, automating CI/CD pipelines on AWS , and delivering reporting datasets across SQL , Snowflake , and QuickSight .

Key Responsibilities

• Pipeline & Platform Automation: Design, automate, and maintain CI/CD pipelines and cloud infrastructure on AWS to push and process data efficiently.
• Service & Script Development: Build, optimize, and maintain backend services and automation scripts using Ruby, Python, Bash, and Kotlin.
• Data Reporting & Warehousing Support: Support data reporting and analytics workflows using SQL, Snowflake, and QuickSight.
• Reliability & Performance: Ensure high availability, observability, and security for data pipelines and cloud workloads in a strict banking compliance environment.

Required Skills & Experience

• Scripting & Backend Languages: Hands-on experience developing scripts and services in Ruby, Python, Bash, and Kotlin.
• Data & Analytics Stack: Proven proficiency in writing and optimizing complex SQL, managing data within Snowflake, and supporting dashboards/reporting in QuickSight.
• Cloud & Automation: Direct experience designing, automating, and maintaining CI/CD pipelines and cloud infrastructure on AWS.
• Location Requirement: Ability to work onsite 2–3 days per week in McLean, VA.

Preferred Qualifications

• Experience supporting large-scale enterprise environments or banking/financial services clients.
• Familiarity with Infrastructure as Code (Terraform or CloudFormation) and data pipeline monitoring.