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# Senior Data Engineer / ETL Developer - Onsite

- **Company:** The Coca-Cola Company
- **Location:** Charlotte, NC, United States
- **Experience:** Expert
- **Salary:** $101,733.0 - $118,373.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Airflow, Automation of Tests, CA Workload Automation Ae, BigQuery, Code Reuse, Code Review, Computer Programming, Continuous Integration, Information Engineering, Data Governance, Extract Transform Load (ETL), Data Migration, Data Warehousing, Software Debugging, Distributed Computing Environment, Identity and Access Management, Python (Programming Language), Unix Shell, Metadata, Oracle (Applications), Performance Tuning, Standard Sql, PL-SQL, SQL Databases, Teradata SQL, Google Cloud, Apache Spark, Ab Initio, Pyspark, Git Flow, Data Pipelines, Legacy Systems, Jenkins
- **Published:** August 13, 2026
- **Apply:** https://www.careerjet.com/job/us7670db99244deeb8409d5c3c3c025d86/eaa

## About the Role

* 4 years of Data Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
 * 4 years PL/SQL and SQL skills with proven experience in Oracle, Teradata, Python and/or BigQuery: complex query development, tuning, and debugging
 * 4 years Ab Initio skills with proven experience to build complex graphs, Psets, and performance tuning
 * 4 years of UNIX Shell Scripting
 * 3 years programming skills in Python; hands-on PySpark for distributed data processing
 * 3 years of ETL/ETL design, data warehousing concepts, and data modeling best practices

Desired skills:

 * Financial Services or Mortgage industry experience
 * Production operations experience: monitoring, SLAs, incident response, root cause analysis, and performance optimization
 * Experience working in hybrid environments (on-prem/cloud) and supporting data migration/modernization initiatives
 * Experience with scheduling/orchestration in Autosys and Airflow-based orchestration (Cloud Composer)
 * Experience with Git-based workflows, code reviews, and automated testing practices for data pipelines
 * Experience with Harness, Jenkins and uDeploy based CI/CD environments
 * Practical experience using AI-assisted coding tools in daily development
 * Ab Initio development/maintenance experience and/or hands-on migration of Ab Initio graphs to modern Spark/SQL patterns
 * Experience with Dataplex and broader data governance concepts (metadata, classification, stewardship, lineage practices)
 * Familiarity with GCP operational practices for data workloads (service accounts/IAM basics, job monitoring, quota/cost controls)

## Description

This is a hands-on Senior Data Engineer / ETL Developer role that combines traditional enterprise ETL development with cloud modernization initiatives. The selected consultant will support a data and insights team by delivering enterprise data products and solutions. This role is focused on consolidating data from multiple repositories, cleansing and transforming it, and delivering trusted data assets to business consumers. This is a full-time onsite position requiring five days a week in the office.
Responsibilities:

 * Build and maintain scalable batch and near real-time data pipelines
 * Develop ETL solutions using Ab Initio, Python, PySpark, SQL and PL/SQL
 * Review technical designs and convert solution blueprints into reusable code
 * Integrate, cleanse, normalize, and transform data from multiple mortgage-related systems
 * Partner with Product Owners, Architects, Engineers, and business stakeholders
 * Support migration and modernization initiatives from legacy platforms to Google Cloud
 * Build, schedule, orchestrate, and deploy solutions through enterprise CI/CD pipelines
 * Support monitoring, operational excellence, root cause analysis, and production reliability, Kforce has a client that is seeking a Senior Data Engineer in Charlotte, NC. Minimum 8 years of hands-on data engineering experience in development using Python and Pyspark Exper…
 + 6 days ago
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