Lead Data Engineer

Senior Data Engineer

Location: Juno Beach, FL (Day one onsite)

The Senior Data Engineer – Forecasting Platforms Operations will support the development, integration, operational reliability, and continued modernization of data pipelines and applications within the AURA energy forecasting ecosystem. This role combines strong data engineering capabilities with hands-on production application support. The position will focus primarily on building and maintaining scalable ETL/ELT pipelines, data integrations, databases, APIs, and automated data workflows supporting load, wind, and solar forecasting, while also providing secondary operational support for the cloud-based platforms and services responsible for producing and delivering forecasts to business customers.

The ideal candidate has a strong data engineering foundation but is also comfortable troubleshooting production applications, following data and application dependencies across systems, supporting cloud-hosted services, and responding to operational issues when necessary. The position is intended to strengthen both the data engineering capacity and operational resiliency of the AURA forecasting team by developing broader technical ownership across the environment.

Key Responsibilities

• Data Engineering Integration
• Forecasting Platform Operational Support
• Reliability, Automation Documentation

Required Technical Experience

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 supporting machine-learning or forecasting data pipelines is strongly preferred. Experience working in Agile environments using tools such as Jira and Confluence.

Candidate Profile

The successful candidate should be a hands-on engineer who naturally follows problems across system boundaries rather than limiting troubleshooting to a single application or technology. The strongest candidate will be able to move comfortably between: source data → pipeline → database → forecasting application → cloud service → delivery → customer and determine where a failure has occurred, how it should be corrected, and how recurrence can be prevented. This role requires someone who can operate independently, document clearly, learn unfamiliar systems quickly, and balance planned engineering work with occasional production-support priorities.

*** offers benefits like medical, vision, dental, life, disability insurance and paid time off (including holidays, parental leave, and sick leave, as required by law). The exact offer terms will depend on the skill level, educational qualifications, experience, and location of the candidate. *** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator.