Data Platform Engineer (AWS / Python / Snowflake)

Corporate Brokers, LLC
McLean, VA, United States
4 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours

Tech stack

Amazon Web Services Automation of Tests Bash Shell Cloud Computing Data Infrastructure Python (Programming Language) Power BI Cloud Services Ruby Software Engineering SQL Databases Data Processing
+10 more
Scripting System Availability Snowflake Backend Cloudformation Kotlin Infrastructure Automation Frameworks Data Analytics Terraform Data Pipelines

Job description

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., * 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.

Requirements

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

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