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Senior Data Engineer – Forecasting Platforms & Operations

Brillfy TechnologyJuno Beach, FL🇺🇸United StatesPosted Oct 21, 2026

Quick Overview

Seniority
Mid Senior
Work mode
Hybrid
Location
Juno Beach, FL, United States
Posted
17 hours ago
OracleSQLGitApache SparkAWSETLData PipelineDatabricksPythonRedshiftPostgreSQLSQL ServerCI/CD

Job Description

🚀 Hiring: Senior Data Engineer – Forecasting Platforms & Operations

📍 Location: Juno Beach, FL
Experience:-12+

Employment Type:-C2C

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Job Description:

We are seeking an experienced Senior Data Engineer to support data engineering, integrations, and production operations for an energy forecasting platform. The ideal candidate will have strong hands-on experience in Python, SQL, ETL/ELT pipelines, AWS cloud services, and production troubleshooting.

Key Responsibilities:

  • Design, develop, maintain, and optimize ETL/ELT data pipelines.

  • Build automated data ingestion and transformation workflows using Python and SQL.

  • Integrate data from APIs, databases, flat files, SFTP, and cloud storage.

  • Support PostgreSQL and other relational databases.

  • Troubleshoot production issues, failed jobs, and data pipeline failures.

  • Support AWS services, including S3, Lambda, ECS, EC2, and CloudWatch.

  • Implement data-quality checks, monitoring, logging, and automated recovery.

  • Support application deployments, incident management, and root-cause analysis.

  • Collaborate with Data Scientists to ensure reliable data for forecasting models.

Required Skills:

  • Strong experience in ETL/ELT development and data integration.

  • Proficiency in Python and advanced SQL.

  • Experience with relational databases such as PostgreSQL, Oracle, or SQL Server.

  • Hands-on experience with AWS or comparable cloud platforms.

  • Experience supporting production data pipelines and scheduled jobs.

  • Knowledge of APIs, SFTP, cloud storage, and data validation.

  • Experience with Git and modern software development practices.

Preferred Qualifications:

  • Experience with AWS S3, Lambda, ECS, EC2, CloudWatch, or Step Functions.

  • Knowledge of Databricks, Spark/PySpark, Redshift, or Aurora.

  • Experience with CI/CD, application deployments, and production monitoring.

  • Exposure to energy forecasting, renewable generation, weather, telemetry, or SCADA data.

  • Experience supporting machine-learning or forecasting data pipelines.

📩 Interested candidates: Please share your updated resume along with your current location, work authorization, and contact details.

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