Data Engineer

PMG GLOBAL; Smithfield (RI); On-site; USD 110,000 - 170,000; Full time

Job summary

PMG GLOBAL is seeking a Data Engineer to work on local client projects in Smithfield RI / Boston MA. The role emphasizes building and maintaining enterprise-scale data pipelines and ELT/ETL processes across Snowflake, Oracle, PostgreSQL, and cloud-native storage.

Proficiency in Python and SQL is required, with scripting skills in Shell and Groovy for automation. Candidates should have 6–9 years of experience and a strong background in Airflow and/or Control-M, Docker, and CI/CD using

Qualifications

• Bachelor’s degree in Engineering or Business.
• 6–9 years of professional data engineering experience.
• Experience designing, building, and supporting enterprise-scale data solutions.
• ELT/ETL pipelines across Snowflake, Oracle, PostgreSQL.
• Python and SQL proficiency; Shell and Groovy scripting.

Skills

Python

SQL

Shell scripting

Groovy

Airflow

Docker

GitHub

Jenkins

PostgreSQL

Snowflake

Oracle

AWS

Go

Angular

React

Node.js

TypeScript

DynamoDB

Education

Bachelor’s degree, preferably in Engineering or Business

Tools

Airflow

Control-M

Docker

GitHub

Jenkins

Snowflake

Oracle

PostgreSQL

AWS Lambda

AWS S3

AWS EC2

AWS CloudWatch

IAM

Angular

React

Node.js

TypeScript

DynamoDB

Go

Job description

We are currently sourcing for a Data Engineer to work in our client's location in SmithField RI / Boston MA.(Looking only for Local Candidates)

The Expertise and Skills You Bring

• Bachelor’s degree, preferably in Engineering or Business.
• 6–9 years of professional experience designing, building, and supporting enterprise-scale data engineering or platform solutions.
• Strong hands-on experience building and maintaining ELT/ETL pipelines to move and transform data across heterogeneous data platforms, including Snowflake, Oracle, and PostgreSQL.
• Deep understanding of data structures, relational databases, and cloud-native storage technologies across Snowflake, Oracle, Postgres, and other cloud-based RDBMS platforms.
• Proficiency in Python and SQL, with practical experience using scripting languages such as Shell and Groovy for automation and data processing.
• Proven experience designing, implementing, and orchestrating complex data pipelines using Apache Airflow and/or Control M, with a focus on scalability, reliability, and operational efficiency.
• Hands-on expertise with Docker, including container image creation, multi-stage builds, container registries, and secure, scalable container-based deployments.
• Strong experience implementing CI/CD pipelines using GitHub and Jenkins, including automated builds, testing, deployments, and adherence to security and quality procedures.
• Solid understanding of core AWS services, including Lambda, SQS/SNS, EC2, S3, CloudWatch, and IAM roles/policies, supporting data and application workloads in cloud environments.

Preferred / Nice to Have

• Exposure to modern front-end and application development technologies such as Angular, React, Node.js, and TypeScript.
• Experience working with additional cloud-native databases such as AWS DynamoDB.
• Familiarity with Go (Golang) for backend or data platform development.
• Broader experience supporting data solutions across PostgreSQL and AWS-based architectures.