Data Engineer

VOLTO Consulting; Charlotte (NC); On-site; USD 120,000 - 180,000; Full time

Job summary

VOLTO Consulting in Charlotte, NC is seeking a Data Engineer with 8+ years of experience to design, build and optimize large-scale data pipelines. The role emphasizes Python, SQL, data ingestion, and ETL across structured and unstructured data.

You will lead cloud-native data lake/warehouse architectures, improve processing speed and cost-efficiency, and mentor junior engineers while collaborating with data scientists on ML deployments.

Qualifications

• 8+ years of data engineering experience.
• Bachelor's or Master's in Computer Science or related field.
• Strong Python and SQL for data pipelines.
• Experience with data ingestion, processing, and data lake/warehouse architecture.

Responsibilities

• Design and build large-scale data pipelines using Python.
• Build and support data ingestion, processing, indexing and retrieval for structured/unstructured data.
• Lead architecture of cloud-native data lakes and warehouses.
• Optimize big data processing jobs for speed and cost.
• Mentor junior data engineers and lead code reviews.
• Set up data governance, data quality, and monitoring systems.
• Partner with data scientists to deploy ML models.

Skills

Python

SQL

ETL

API development

Data modeling

Linux/Bash

CI/CD

Mentoring

Education

Bachelor's or Master's in Computer Science or related field

Tools

MongoDB

Oracle/Relational DBs

Elastic/Solr

Vector Database

OpenShift

Git

Jenkins

Job description

Data Engineer

Charlotte, NC
Fulltime - Need only independent VISA Holders

Job Description

8 - 15 years of experience

Must Have Technical/Functional Skills

Primary Skill: Python, SQL, Data Ingestion and ETL, API development and Integration, Mongo DB, Oracle or Relational Databases, Elastic or Solr Search, Vector Database, Linux/Bash, Openshift containers, Git, Jenkins, CI/CD and Data Modelling

Secondary: Fast API, Data Quality and Validation, Performance Tuning

Experience: 8+ yrs

Roles & Responsibilities

Bachelor s or master s degree in computer science or related field.

Required Hard And Soft Skills / Experience

• Design and build large-scale data pipelines using Python.
• Build and support data ingestion, processing, indexing and retrieval pipelines for structured and unstructured data
• Lead the architecture of cloud-native data lakes and warehouses.
• Optimize big data processing jobs for speed and cost.
• Mentor junior data engineers and lead code reviews.
• Set up data governance, data quality, and monitoring systems.
• Partner with data scientists to deploy machine learning models.