Platform Engineer

Data Platform Engineer

Location: Boston, MA (100% Onsite) 

Duration: 6-12 Months

Rate: DOE

Description:

• The Data Platform Engineering team supports CI/CD and infrastructure for our integrated Data Fabric platform. This Data Fabric is a strategic core asset underpinning the operational success of our Firm.
• The Data Platform Engineer will design and implement efficient procedures and pipelines for software development and infrastructure deployment, manage and deploy various key data systems and services.
• The Data Platform Engineer will work with cloud engineers, data engineers, system administrators, data administrators and architects to find opportunities to leverage DevOps technologies to process large volumes of data.
• The Data Platform Engineer will implement CI/CD workflows for Infrastructure as Code (IaC) and automated deployments. This role requires a motivated individual with strong technical ability, data capability, excellent communication, and collaboration skills including the ability to develop and troubleshoot a diverse range of problems.

Responsibilities

·         Implement continuous integration, continuous development, and constant deployment pipeline (CI/CD Pipeline) for data infrastructure using Terraform and GitHub Actions.

·         Implement and deploy GitHub Actions tools and workflows.

·         Implement various development, testing, automation, and data infrastructure tools

QUALIFICATIONS

·         Bachelor’s degree in computer science or engineering

·         Minimum of 10 years of experience in DevOps engineering

·         Git version control

·         Minimum of 5 years of experience with GitHub Actions

·         Minimum of 5 years of experience with Terraform

·         Minimum of 5 years of AWS Cloud experience that includes: Lambda, EC2, and VPC

·         Experience with big data platforms such as Amazon Redshift, Snowflake, Apache Iceberg, Apache Spark, AWS Glue, RDS

·         Experience with containers: Docker, Amazon ECS, and/or Kubernetes

·         Experience with data engineering, data analysis, and/or ETL

·         Experience with programming languages such as Python

·         Experience with OS-level scripting languages such as Bash and PowerShell

·         Experience with use of advanced features of AI tools: ChatGPT, custom GPTs, and/or other models such as Claude Sonnet.