Senior Data Engineer - Platforms & Operations

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, CloudWatch, and related cloud resources
• Assist with application deployments, release validation, configuration changes, operational readiness, and post-deployment monitoring

• 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, CloudWatch, 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

The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.

We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.

Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce’s sole discretion unless and until paid and may be modified in its discretion consistent with the law.

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