Apply to Forecasting Platforms & Operations Data Engineer (onsite)

14987 - Forecasting Platforms & Operations Data Engineer (onsite) - Juno Beach, FL

Start Date: ASAP
Type: Temporary Project
Estimated Duration: 12 months with possible extensions
Work Setting: 100% of the time at the Client's site. No telecommuting or remote work. This is a non-negotiable requirement from the client. Only candidates able to relocate as required should apply to avoid removal from future consideration.

Our client is filling this contract position exclusively through approved staffing partners, so this opportunity is not available by applying directly with the client. If you're interested, we'd be happy to represent you throughout the hiring process.

Required:
• Availability to work 100% of the time at the Client's site in Juno Beach, FL. (required)
• Experience with ETL/ELT and data-integration pipeline design, development, and support.
• Experience with Advanced Structured Query Language (SQL).
• Experience with Relational databases such as PostgreSQL, Oracle, or SQL Server.
• Experience with Python for data processing, automation, integration, and application support.
• Experience with Data integration from APIs, databases, flat files, cloud storage, and SFTP.
• Experience with Production data pipelines, scheduled jobs, and troubleshooting failed processing workflows.
• Experience with Amazon Web Services (AWS) or comparable cloud environments.
• Experience with Logging, monitoring, troubleshooting, root-cause analysis, and production-support practices.
• Experience with Git-based source control and modern software-development practices.

Preferred:
• Experience with AWS services including S3, Lambda, ECS, EC2, CloudWatch, and Step Functions.
• Experience with PostgreSQL/Aurora, Redshift, Databricks, or Spark/PySpark.
• Experience with CI/CD pipelines, application deployments, and cloud-hosted production applications.
• Experience with SFTP administration, secure data exchange, SSH key management, and automated file-transfer processes.
• Experience with Data-quality, monitoring, reconciliation, and automated alerting frameworks.
• Experience with Energy markets, utility operations, renewable generation, SCADA/telemetry data, weather data, or load/wind/solar forecasting.
• Experience with Machine-learning or forecasting data pipelines support.
• Experience with Agile environments using tools such as Jira and Confluence.

Responsibilities:
• 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, restartability, 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.

Why apply?
• Gain experience with one of the world's largest solar and wind energy providers, which last year briefly became the most valued U.S. energy company.
• Work with a great team of professionals and learn newest technologies and approaches.
• Enjoy our Client's wonderful campus with top-notch facilities for work and recreation.
• Benefit from multiple projects extensions.
• Receive support and advice from Vitaver consultants who are already working at our Client's site.
• Get extra cash by participating in Vitaver Successful Completion Bonus Program.
• Always get paid in full and on time.

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