Data Engineer IV - REMOTE

Job Details

Level: ExperiencedPosition Type: Full TimeSalary Range: $120,000.00 - $145,000.00 Salary/year

Are you an expert in designing, developing, and maintaining data pipelines, infrastructure, and systems to support data products and solutions? Are you a strong communicator who thrives as part of a cross-functional, collaborative team? If so, we want to talk with you!

 

We’re seeking a senior data engineer to join our machine-learning engineering team and help us design and build scalable, reliable, and secure data pipelines, infrastructure, and systems for our consulting services and software-as-a-service (SaaS) solutions. You’ll work with a cross-functional team of machine-learning engineers, software engineers, data scientists, and data analysts to deliver data products and solutions for our clients while also contributing to our internal data practices.

 

E Source is a leading provider of software solutions and consulting services for utilities and their customers. We use data science and machine learning to help utilities optimize their operations and achieve their sustainability goals. We process large amounts of data from our clients and uncover insights and patterns they didn’t see before.

 

Data engineering is a key function enabling a robust data science environment for our consulting services and as middleware in preparing our client’s data for processing within our SaaS solutions.

 

 

 

A little about E Source

E Source combines industry-leading research, data science, and consulting to help utilities make and implement better data-driven decisions that positively impact their customers, their bottom line, and our planet. Headquartered in Boulder, CO, we have teams across the US and Canada. Learn more at www.esource.com.

 

 

 

How you’ll help:

 

• Design, develop, and maintain data pipelines, infrastructure, and systems to support data products and solutions using technologies such as AWS, Python, Databricks, Spark, and SQL databases like PostgreSQL 

• Work with cross-functional teams to translate business problems into technical solutions and provide technical guidance and mentorship to junior data engineers 

• Create and maintain optimal data pipeline architecture 

• Assemble and process large, complex data sets that meet functional/non-functional business requirements 

• Identify, design and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability 

• Implement processes and systems to monitor data quality, ensuring production data is always available for key stakeholders  

• Design data integrations and data quality frameworks 

• Develop and implement data engineering strategies and best practices that align with business objectives and customer needs 

• Monitor and troubleshoot data pipelines and systems to ensure data quality, integrit