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Job Description

Realign LLC is hiring an onsite Data Engineer in Charlotte, NC to design and deliver large-scale data systems built on Python and SQL. The role focuses on cloud-native data lakes and warehouses, from ingestion and processing through indexing, governance, and monitoring, with close collaboration alongside data scientists.

You will work across the full data pipeline lifecycle, helping optimize big data workloads for both speed and cost. The position also includes technical leadership through mentoring and code reviews, as well as partnering on production deployments for machine learning models.

What you’ll do

  • Design and build large-scale data pipelines using Python.
  • Build and support data ingestion, processing, indexing, and retrieval pipelines for both structured and unstructured data.
  • Lead the architecture for cloud-native data lakes and warehouses.
  • Optimize big data processing jobs to improve performance, 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 support deployment of machine learning models.

Required qualifications

  • 8+ years of experience.
  • Bachelor’s or master’s degree in computer science or a related field.
  • Core technical skills include: 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 skills include: Fast API, Data Quality and Validation, and Performance Tuning.
  • Required skills profile: Data / Python Engineer and Python / DevOps Engineer.

Compensation and location

  • Location: Charlotte, NC (onsite)
  • Salary: USD 119,000 per yearly

Technologies

  • Python, SQL
  • Data Ingestion and ETL
  • API development and Integration
  • Mongo DB, Oracle, Relational Databases
  • Elastic, Solr Search
  • Vector Database
  • Linux/Bash
  • OpenShift containers
  • Git, Jenkins, CI/CD
  • Data Modelling
  • Fast API
  • Data Quality and Validation
  • Performance Tuning

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