Fintal Partners
Overview
This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$140,000.00/yr - $190,000.00/yr Our client is accelerating the transition to a clean energy future, one project at a time. They develop, finance, own, and operate utility-scale and distributed renewable energy and storage projects across the country. By cultivating a diverse team of innovators from all backgrounds, our client is a mission-driven organization where people come to make an impact. Key Responsibilities
Drive product development initiatives, ensuring close collaboration between Revenue, Digital, Project Development, Finance, and Asset Management (Performance & O&M) teams Partner with external stakeholders and vendors to manage data ingestion, data sharing, modeling, and analytics delivery Develop innovative analytics tools to meet Operations and Maintenance needs and support the scaling of the asset portfolio Use CI/CD pipelines to deploy and test reusable libraries Collaborate with data scientists and the Digital Center of Expertise to enhance cloud computing capabilities Build predictive modeling libraries in partnership with quantitative analysts to support commercial decision-making Develop interactive dashboards in the cloud analytics environment and surface actionable insights for stakeholders Contribute to the design and rollout of a future ETRM platform for Origination and Portfolio Management Serve as the Commercial data and infrastructure expert, with an initial emphasis on advancing the analytics platform Qualifications
5–7 years of experience developing data-driven software in collaborative environments (Git, CI/CD, etc.) Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field Expertise in programming languages and quantitative frameworks: Python (or similar analytics languages), Dash (or comparable visualization libraries), and AWS Cloud (EKS, EC2, S3, Secrets Manager, ArgoCD, Grafana, etc.) Experience with data pipelines, batch/streaming ingestion, APIs and connectors, data lakes/warehouses (Snowflake, S3, Postgres), ETL/orchestration tools, and containerized applications (Kubernetes) Strong track record of creating software solutions for business use cases and understanding of analytics products and ecosystems Deep knowledge of data engineering principles and lifecycle management — ingest, store, transform, monitor, and serve Ability to design infrastructure, data products, and tools to empower data scientists Excellent communication and interpersonal skills Seniority level
Not Applicable Employment type
Full-time
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This range is provided by Fintal Partners. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more. Base pay range
$140,000.00/yr - $190,000.00/yr Our client is accelerating the transition to a clean energy future, one project at a time. They develop, finance, own, and operate utility-scale and distributed renewable energy and storage projects across the country. By cultivating a diverse team of innovators from all backgrounds, our client is a mission-driven organization where people come to make an impact. Key Responsibilities
Drive product development initiatives, ensuring close collaboration between Revenue, Digital, Project Development, Finance, and Asset Management (Performance & O&M) teams Partner with external stakeholders and vendors to manage data ingestion, data sharing, modeling, and analytics delivery Develop innovative analytics tools to meet Operations and Maintenance needs and support the scaling of the asset portfolio Use CI/CD pipelines to deploy and test reusable libraries Collaborate with data scientists and the Digital Center of Expertise to enhance cloud computing capabilities Build predictive modeling libraries in partnership with quantitative analysts to support commercial decision-making Develop interactive dashboards in the cloud analytics environment and surface actionable insights for stakeholders Contribute to the design and rollout of a future ETRM platform for Origination and Portfolio Management Serve as the Commercial data and infrastructure expert, with an initial emphasis on advancing the analytics platform Qualifications
5–7 years of experience developing data-driven software in collaborative environments (Git, CI/CD, etc.) Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field Expertise in programming languages and quantitative frameworks: Python (or similar analytics languages), Dash (or comparable visualization libraries), and AWS Cloud (EKS, EC2, S3, Secrets Manager, ArgoCD, Grafana, etc.) Experience with data pipelines, batch/streaming ingestion, APIs and connectors, data lakes/warehouses (Snowflake, S3, Postgres), ETL/orchestration tools, and containerized applications (Kubernetes) Strong track record of creating software solutions for business use cases and understanding of analytics products and ecosystems Deep knowledge of data engineering principles and lifecycle management — ingest, store, transform, monitor, and serve Ability to design infrastructure, data products, and tools to empower data scientists Excellent communication and interpersonal skills Seniority level
Not Applicable Employment type
Full-time
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