Senior Data Engineer - Platforms & Operations

Description Kforce has a client that is seeking a Senior Data Engineer - Platforms and Operations in Juno Beach, FL.

Roles and Responsibilities:

Data Engineering & Integration:
* Design, develop, maintain, and optimize ETL/ELT pipelines supporting forecasting, telemetry, weather, market, asset, and operational data
* Develop and maintain automated data ingestion and transformation processes across APIs, databases, flat files, SFTP, cloud storage, and external data providers
* Build scalable and reusable Python and SQL-based data processing frameworks
* Support PostgreSQL and other relational database environments used by forecasting applications and analytical workflows
* Improve data pipeline monitoring, logging, restart ability, validation, and failure recovery
* Implement data-quality checks, reconciliation processes, and source-to-target validation
* Support onboarding and integration of new wind, solar, storage, and other generation assets into forecasting data pipelines
* Partner with Data Scientists to ensure reliable, timely, and well-structured data is available for model development, training, production forecasting, and performance analysis
* Support modernization and standardization of legacy data workflows and reduce manual or hard-coded processing wherever practical

Forecasting Platform & Operational Support:
* Provide secondary technical support for production load, wind, and solar forecasting applications and associated data-delivery processes
* Troubleshoot production issues across application, data, database, cloud infrastructure, integration, and delivery layers
* Support AWS-hosted forecasting workloads and services such as S3, Lambda, ECS, EC2, Cloud Watch, and related cloud resources
* Assist with application deployments, release validation, configuration changes, operational readiness, and post-deployment monitoringRequirements
* Strong experience designing, developing, and supporting enterprise ETL/ELT or data-integration pipelines
* Advanced SQL skills and experience with relational databases such as PostgreSQL, Oracle, SQL Server, or similar platforms
* Proficiency with Python for data processing, automation, integration, or application-support activities
* Experience integrating data from APIs, databases, flat files, cloud storage, SFTP, or other enterprise data sources
* Experience supporting production data pipelines, scheduled jobs, and troubleshooting failed processing workflows
* Experience working with AWS or comparable cloud environments
* Strong understanding of logging, monitoring, troubleshooting, root-cause analysis, and production-support practices
* Experience with Git-based source control and modern software-development practices

Preferred Qualifications:

* Experience with AWS services including S3, Lambda, ECS, EC2, Cloud Watch, Step Functions, or related services
* Experience with PostgreSQL/Aurora, Redshift, Databricks, Spark/PySpark, or similar data platforms
* Experience supporting CI/CD pipelines, application deployments, or cloud-hosted production applications
* Experience with SFTP administration, secure data exchange, SSH key management, or automated file-transfer processes
* Experience building data-quality, monitoring, reconciliation, and automated alerting frameworks
* Familiarity with energy markets, utility operations, renewable generation, SCADA/telemetry data, weather data, or load/wind/solar forecasting
* Experience working in Agile environments using tools such as Jira and Confluence
* Experience supporting machine-learning or forecasting data pipelines is strongly preferred

Job Type Contract Compensation
78 - $82