Refrigeration & Energy Systems - Data Analytics Engineer

Energy Recovery; United States; Remote; USD 80,000 - 120,000; Full time

Job summary

Energy Recovery is seeking a Data Analytics Engineer to analyze energy consumption of refrigeration systems and develop a unified data strategy. The role involves working with various programming languages and data streams to enhance energy efficiency and sustainability across operations. Join a collaborative team dedicated to building a sustainable future.

Benefits

Generous health plans

Paid family leave

Subsidized lunches

Company events

Opportunities for charitable giving

Qualifications

• Bachelor’s degree in relevant field required.
• Proficiency in Python and SQL essential.
• Experience in data analytics for energy systems is highly desirable.

Responsibilities

• Analyze energy consumption and develop data strategies.
• Develop and maintain data pipelines and dashboards.
• Collaborate with engineers and external vendors.

Skills

Data engineering

Systems integration

Industrial IoT

Python

SQL

Data visualization

Troubleshooting

Energy systems analysis

Thermodynamic principles

Collaboration

Education

Bachelor’s Degree in Mechanical, Thermal, Chemical, Energy Systems or Computer Science

Tools

AWS

GCP

Azure

Google Data Studio

Grafana

Power BI

Job description

Join Energy Recovery and Help Build a Sustainable Future

At Energy Recovery, we build products that help limit global temperature rise, reduce carbon emissions, provide safe drinking water for millions of people, and bring efficiency and sustainability to a range of industries. Our products help customers avoid approximately 19.7 million metric tons of carbon emissions per year -- equivalent to removing over 4.7 million cars from the road!

In addition to innovating world-class products that help our customers and the environment, our employees enjoy a diverse, collaborative work culture, as well as extensive company benefits that support the overall wellbeing of our staff. This includes everything from generous health plans and time off, paid family leave, subsidized lunches and company events, and opportunities for charitable giving and volunteering in the community.

Come find out why we’ve been a certified Great Place to Work for 3 years in a row!

What You Can Look Forward To:

Energy Recovery, Inc. is seeking a qualified candidate for an immediate fulltime job opening for the position of Data Analytics Engineer – Refrigeration and Energy Systems, with the Systems & Analytics Engineering team. This role will be located remotely in India. This position is responsible for analyzing energy consumption of refrigeration systems, by developing code and algorithms for data collection, clean up, organization, visualizations, thermodynamic calculations and building a holistic data strategy. In addition, the candidate will be responsible for interacting with business units and third party contractors to support data-related requests. A suitable candidate will have prior experience working with various programming languages and variety of data streams. We are looking for a hands-on Data Analytics Engineer to drive the development and execution of our data strategy across a distributed fleet of installation sites. This role blends data architecture, field data integration, analytics, and engineering collaboration, enabling end-to-end visibility and decision-making across our operations. You'll help unify data from diverse controllers, enable cloud and edge analytics, and support real-world energy optimization for refrigeration systems.

What Will You Do?

• Assist in creating and scaling a unified data strategy for field installations
• Develop and maintain pipelines to ingest, clean, tag, and store data from mixed field controllers and edge devices
• Interface with protocols such as Modbus, M2M2 Loytec Gateway, etc and integrate with platforms like AWS, GCP, or vendor clouds (e.g., Danfoss Carel boss)
• Standardize and normalize fragmented datasets into a centralized cloud repository
• Build business-facing and engineering dashboards using tools like Google data studio, Grafana or Power BI
• Write and maintain Python or SQL scripts for data transformation, anomaly detection, and automated reporting
• Work with refrigeration and controls engineers to support field deployments, thermodynamic analysis, and commissioning of edge/IoT devices
• Oversee day-to-day health, analysis, and integrity of field data streams and dashboards

• Collaborate with external vendors or contractors to deploy pilot implementations across selected sites
• Develop algorithms for data collection, clean up, organization
• Develop visualization dashboards
• Conduct energy saving calculations
• All other projects and duties as assigned

What You Bring to the Table:

• Bachelor’s Degree in Mechanical, Thermal, Chemical, Energy Systems or Computer science
• Analytical mindset, ability to handle multiple tasks simultaneously, work under fast-paced environment
• Strong technical background in data engineering, systems integration, or industrial IoT
• Proficiency in Python, SQL, and working with cloud-native data architectures (in AWS, GCP, Azure, etc.)
• Ability to visualize complex datasets clearly and effectively for business and technical users
• Hands-on mindset with the ability to troubleshoot across hardware, software, and network layers
• Experience with edge computing platforms, gateways, or PLC integration (a plus)
• Prior experience on data analytics of energy systems, refrigeration systems is highly desirable
• Familiarity with thermodynamic principals, refrigeration or energy systems is highly desirable
• Understanding of refrigeration, HVAC, or thermodynamic systems (a plus)
• Experience collaborating cross-functionally with engineering, operations, and vendors
• Self-driven and adaptable to fast-changing needs in field operations
• Ability to be individual contributor
• Team player and effective communicator
• Fluent in English
• Limited travel if needed

We are an EOE/AA employer committed to workforce diversity.

No recruiters or phone calls.