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Data Engineer II

Sunrise Systems, Inc.Charlotte, NC🇺🇸United StatesPosted Sep 23, 2026

Why This Role Stands Out

You'll have a fantastic opportunity to grow your skills with cutting-edge technologies like Python, PySpark, and Google Cloud Platform, contributing to impactful projects within a reputable company. This hybrid role is perfect for a mid-senior Data Engineer with 4-6 years of experience who thrives in collaborative environments and is eager to build scalable data solutions. Apply now to join this dynamic team!

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Charlotte, NC, United States
Posted
3 weeks ago
SQLETLBigQueryGoogle CloudPython

Job Description

Job Title: Data Engineer II
Location: Charlotte, NC
Duration: 06 months contract
Description:
Must Haves:
  • Shoot between ~4-6 years of experience
  • Python
  • Pyspark
  • Google Cloud Platform
  • Big query
Data Engineer w Google Cloud Platform & SQL
The position of Data Engineer II will be on a dynamic and growing team within the Global Risk & Compliance Technology (GRCT) organization at Client.
  • Evaluates data requirements and stories, documents them for seamless integration into existing architectures, and maintains data models to support business needs.
  • Builds and enhances data pipelines and database designs to meet performance, scalability, and security requirements.
  • Collaborates in design reviews and testing and provides production environment support with guidance from peers and leaders.
  • Operates data assets according to consistent standards, guidelines, and policies.
  • Completes work reviews and fosters a collaborative learning environment.
  • Communicates and collaborates with business and product teams to facilitate changes and implementation.
  • Completes Big Data requirements by implementing basic partitioning and indexing solutions.
  • Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives.
  • Google Cloud Platform Expertise: Hands-on experience with Google Cloud Platform services like BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, and Cloud Functions.
  • Programming Languages: Strong proficiency in Python and SQL for data processing and manipulation.
  • ETL/ELT: Experience with ETL/ELT processes and data warehousing concepts.
  • Data Modeling: Understanding of data modeling principles and techniques.
  • Cloud Technologies: Knowledge of cloud computing concepts and standard processes.

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