Largeton Group

Data Engineer 3

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer 3 with a 24-month contract, paying "pay rate". It requires 4+ years in data engineering, Ab Initio ETL experience, and Python proficiency. Onsite work is in Charlotte, NC, with financial services experience preferred.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
400
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🗓️ - Date
August 14, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Charlotte, NC
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🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Ab Initio #GCP (Google Cloud Platform) #Data Pipeline #PySpark #Data Quality #Data Governance #Python #Spark (Apache Spark) #Compliance #Cloud #Data Integration #Batch #Data Modeling #Oracle #SQL (Structured Query Language) #Data Engineering #Deployment #Programming #BigQuery #Teradata #AI (Artificial Intelligence) #Data Processing #Informatica #Spark SQL #Jenkins #Scala #Airflow #Migration
Role description
Job Summary (Data Engineer 3 / Software Engineer 3 Wells Fargo) • Support Core Downstream Application: Consolidate, cleanse, transform, and deliver trusted mortgage data assets to business consumers from multiple data repositories. • ETL & Data Pipeline Development: Build and maintain scalable batch and near real-time data pipelines using Ab Initio, Python, PySpark, SQL, and PL/SQL. • Data Integration: Integrate, normalize, and transform data from various mortgage-related systems. • Cloud Modernization: Support migration and modernization efforts from legacy on-premise platforms to Google Cloud Platform (GCP). • Solution Implementation: Convert technical designs and solution blueprints into reusable, production-ready code. • Collaboration: Partner with product owners, architects, engineers, and business stakeholders to deliver data solutions. • Deployment & Operations: Build, schedule, orchestrate, and deploy solutions using CI/CD pipelines (Harness, Jenkins, uDeploy). • Production Support: Monitor data pipelines, ensure operational excellence, perform root cause analysis, and support production reliability. • Data Governance: Contribute to data governance, quality, and compliance practices. • Continuous Improvement: Leverage AI-assisted coding tools and modern data engineering best practices to enhance productivity and quality. Required Qualifications • 4+ years in data engineering (including PL/SQL, SQL, Oracle, Teradata, Python, BigQuery) • 4+ years Ab Initio ETL experience • 3+ years Python programming and PySpark distributed data processing • 3+ years ETL design, data warehousing, and data modeling Desired Qualifications • Financial services/mortgage industry experience • Experience with CI/CD, production operations, and cloud (GCP) migration • Experience with orchestration tools (Autosys, Airflow/Cloud Composer) • Data governance, data quality (Informatica), real-time and event-driven data processing • Familiarity with GCP operational practices and AI-assisted coding Work Environment • 100% onsite in Charlotte, NC (relocation considered) • 24-month contract Let me know if you need a shorter or more tailored version!