Data Engineer IV - REMOTE

E Source

Job Details

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, integrity, and availability

• Conduct research on industry trends and best practices to improve data engineering capabilities and evaluate new data technologies and tools

• Manage the software development life cycle and DevOps aspects of the code

• Collaborate with data scientists and analysts to understand their data requirements and provide them with optimal data solutions

• Create new data validation methods and data analysis tools

What will make you a great fit:

• Bachelor’s degree in computer science, information technology, or a related field

• A minimum of seven years of experience in data engineering or a similar role

• Expert-level skills in Python, SQL databases such as PostgreSQL, and big data technologies such as Databricks and Spark

• Hands-on experience building cloud resident data pipelines in AWS

• Expert of data warehousing and data lake design, development and sustainment

• Strong understanding of data governance, security, privacy, and retention policies and procedures

• Strong communication, collaboration, and problem-solving skills

• Experience with mentoring junior data engineers is an asset

• High proficiency using agile software tools like Jira and following mature DevOps practices using GIT, Docker, and CI servers like Jenkins

• Passion for data and innovation

• Strong knowledge of data modeling, data architecture and data structures

• Expert understanding with Agile and DevOps, including CI/CD technologies and practices

Preferred qualifications

• Demonstrated capacity to work autonomously and proactively, with a proven track record of achieving results without constant supervision
• Experience with ETL optimization, designing, coding, and tuning big data processes in Databricks
• Sound knowledge of data lineage and data quality techniques
• Experience in working with data science and machine-learning models and frameworks
• Previous experience in the energy or utility industry in an analytic role
• Master’s degree in management information systems, computer programming, software engineering, data science, or an equivalent STEM field

What you can expect:

• We offer excellent insurance packages, including medical, dental, and vision plans; company-paid life insurance; company-paid long- and short-term disability insurance; and medical and dependent-care flexible spending plans
• We provide a flexible time off (FTO) program; E Source employees can take as many paid days off per year as they need, with manager approval, while fulfilling their work obligations and ensuring proper coverage of their responsibilities.
• We offer flexible schedules, flexible work locations, and a paid parental leave benefit.
• We provide a 401(k)/RRSP plan with a 3% employer match.

The budgeted salary for this position is

$120,000 - $145,000 USD + annual bonus.

Actual pay will be adjusted based on experience.

This role will be 100% remote with infrequent travel.

Applicants must be authorized to work for any employer in the US. We’re unable to sponsor or take over sponsorship of employment visas at this time.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Employees of E Source are encouraged to apply. To foster a positive work environment and company culture, we support our employees in their career growth at E Source. Employees who are interested in similar job opportunities in the future should visit the E Source careers page for a listing of all open positions and contact Human Resources to express interest.

We contact applicants directly via email using only our designated company email addresses with the domain of @esource.com. Please do not provide personal information to anyone over email and be wary of other accounts impersonating businesses.

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