Job details

Data Engineer Solar Engineering

We are committed to building a workplace where everyone feels heard and respected, and extending our culture of care so that every individual can reach their full potential. We want you to have a sense of belonging and feel valued for your contributions and the perspectives you bring.

Summary:

The Data Engineer is responsible for developing and implementing tools that enhance the team’s data analytics capability and efficiency to support PV Projects from early design phase through commissioning and testing. The efforts of this role will enable data-driven decisions to improve engineering excellence. This role is highly cross-functional and requires ability to work in a dynamic, time sensitive team environment.

Requirements:

Develops and standardizes automation solutions for recurring Solar Engineering tasks that involve time-consuming or complex data analyses and/or processes.

Establishes means to benchmark actual PV system performance against contractual KPIs.
Develops automated reports to communicate project performance to stakeholders.

Collaborates with internal and external partners to acquire, store and maintain data.

Automates data mining processes from internal and external APIs.
Manages data pipelines to ensure adaptability/scalability.
Implements data quality program to ensure data analysis and reporting is accurate.
Establishes data, and reporting governance, including roles and responsibilities, standard operating procedures, and guidelines.

Completes data analysis requests from site managers, owners, vendors, or other key stakeholders.
Presents data analysis results and recommendations to both internal and external clients.
Supports project commissioning and testing periods, which includes extended working hours including evenings and weekends.
Attends work regularly and punctually, as scheduled or expected.
Complies with Employee Handbook, Code of Conduct and Company Policies & Procedures.

Additional Responsibilities:

Presents, supports, and leads-by-example with a safety and quality-oriented attitude.
Works collaboratively in an ever-changing environment to help our business succeed. Influence decisions and change management through collaboration, leadership, and a customer-focused approach.

Qualifications:

Highschool/GED required.
Bachelor’s degree in data science, computer science, statistics, engineering, or relevant field preferred.
3 or more years of data analytics or relevant field required.
Ability to travel domestically and internationally 5 to 15% required.
Proficiency in python programming language and relevant libraries scientific stack (Panda, NumPy, SciPy, etc.)
Experience with the Azure ecosystem (blob storage, tables, durable functions, batch).
Experience with databases, SQL and efficient handling of large datasets.
Prior experience in the energy sector, PV solar technology preferred.

Knowledge of PV solar resource, performance modeling and testing including experience with tools such as PVsyst, System Advisor Model (SAM) software tools preferred.

Strong mathematical and statistical background.
Data analytics experience with visualization tools.
Ability to effectively communicate with internal and external stakeholders.

Simplifies and summarizes complex topics for non-technical audiences.
Translates non-technical stakeholder needs into technical solutions.

Software development exposure (exception handling, test coverage, environment management, git source control, REST API protocol).
Functional competencies include system thinking, attention to detail, communication, continuous improvement and learning on the fly.

Anticipated base salary range: $94,000 - $110,000

The final agreed upon compensation is based on individual education, qualifications, experience, and work location. This position is bonus eligible.

RES offers benefits that are effective first day of employment. These benefits include the following:

Medical, Dental and Vision
Health Savings Account with employer contribution
Flexible Spending Accounts
4x pay Basic Life and Voluntary Life
Short and Long Term Disability
Accident, Hospital, and Critical Illness
401 (k) plan with 6% company match
4 weeks Paid Time Off (PTO) and 10 Paid Holidays
Tuition Reimbursement and Green Car Reimbursement
Volunteer and Charity Matching
Paid Parental Leave and Paid Sabbatical Leave
Employee Referral Bonus
Employee Discounts and Wellness programs
Wellness Reimbursement

Physical requirements and environment:

The work environment and physical demands characteristics are representative of those the employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Rarely: Climbing, crouching, kneeling, pulling/pushing/lifting between 5-15lbs., grasping, reaching, and stooping are required.

Occasionally: Carrying 5-15lbs. and walking are required.

Frequently: Sitting and standing is required.

Constantly: Reading, hearing, vision, and repetitive motion is required.

Rarely exposed to extreme cold, heat, humidity, wet climates, noise, and hazards in the working environment.

Occasionally exposed to noise and hazards in the work environment.

We maintain a drug-free workplace. Candidates will be required to pass a pre-employment background investigation and drug test as a condition of employment.

RES is an equal opportunity employer that is committed to diversity and inclusion in the workplace. We prohibit discrimination and harassment of any kind based on race, color, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, or any other protected characteristic as outlined by federal, state, or local laws.

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4.4

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CEO of RES

Eduardo Medina

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Average salary estimate

$102000 / YEARLY (est.)

min

max

$94000K

$110000K

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What You Should Know About Data Engineer Solar Engineering, RES

Join RES as a Data Engineer in Solar Engineering, where you will play a pivotal role in transforming how we analyze and utilize data to support photovoltaic (PV) projects. At RES, we are committed to being a workplace where every voice is valued and everyone can thrive. As a Data Engineer, you'll develop and implement innovative automation solutions that streamline recurring solar engineering tasks. Your expertise will help benchmark actual PV system performance against contractual KPIs and generate automated reports to communicate project performance with stakeholders effectively. You will collaborate with internal and external partners to acquire, store, and maintain key data, ensuring we have the right information at the right time. This role is about empowering data-driven decisions for engineering excellence in a dynamic, fast-paced environment. You'll manage data pipelines for scalability and implement a robust data quality program to keep everything accurate and reliable. Being detail-oriented is critical as you'll present data analysis results to both internal and external clients, guiding them with informed recommendations. Ideal candidates will have a strong background in data analytics or a relevant field, including proficiency in Python and experience with the Azure ecosystem. Come be part of a team that fosters continuous improvement and embraces a culture that encourages innovation and collaboration!

Frequently Asked Questions (FAQs) for Data Engineer Solar Engineering Role at RES

What does a Data Engineer in Solar Engineering at RES do?

A Data Engineer in Solar Engineering at RES is responsible for developing and implementing automation solutions that enhance data analytics for photovoltaic projects. This includes benchmarking PV system performance, managing data pipelines, and producing automated reports that communicate project performance to key stakeholders.