Asset Integrations and SCADA Engineer

Habitat Energy
Austin, TX

Habitat Energy is a fast growing technology company focussed on the physical and financial optimisation of energy storage and renewable generation assets globally through complex models and trading. By maximising the returns from these assets we aim to drive investment in renewable energy and accelerate the transition to a low carbon world. Our rapidly growing team of 120+ people in Austin, TX, Oxford, UK, and Melbourne, Australia brings together exceptionally talented and passionate people in the domains of energy trading, data science, software engineering and renewable energy management.

Habitat Energy is looking to expand our Operations and Asset Integration Team with a Mid-or Senior-Level Backend Engineer or SCADA Engineer in either in our Austin, Texas office or remote. This individual will play an integral role expanding the Operations function within ERCOT and into new markets. They will lead SCADA strategy and data feed management through initial asset integration and during live operation for more than 1.2 GW/1.7 GWh of grid-scale battery storage in addition to various wind and solar resources. They will have an opportunity to interface with client controls teams to establish strategy for market telemetry and asset monitoring as well as to scope integration of battery and solar data and modeling strategy with Habitat Software Engineers and Data Scientists. They will work alongside experts in physical battery modeling and asset operations to ensure quality management of client equipment and will support development of processes with the 24/7 trading team.

Your responsibilities will include:

Asset Onboarding and Integration

  • Lead the technical integration of BESS, wind, and solar assets into the Habitat platform, ensuring robust connectivity from site to cloud.
  • Establish telemetry standards using DNP3, Modbus, and ICCP; interface with client teams to define market-specific communication architectures.
  • Design and maintain secure data tunnels (VPN/Edge) to ensure reliable, low-latency remote access to grid-scale assets.

Data Management and Points Configuration

  • Manage comprehensive SCADA point lists, translating diverse OEM data into unified schemas for real-time trading and long-term analysis.
  • Collaborate with Data Scientists to capture high-fidelity battery health metrics (SoC, SoH, and thermal data) for advanced physical modeling.
  • Build automated monitoring systems to detect and resolve data dropouts or signal drift, ensuring "gold-standard" data integrity for automated dispatch.

Operational Process Development

  • Develop real-time dashboards and SOPs for the 24/7 trading team to monitor asset health and market compliance.
  • Support the development and testing of dispatch algorithms to ensure market signals translate safely into physical hardware actions.
  • Streamline integration workflows for new markets and establish recovery protocols for SCADA or communication failures.

Requirements

Preferred skills and experience:

  • Interest in the energy sector and particularly decarbonization technologies
  • Proficient in Excel, Python, SQL
  • Dashboard design + creation experience - Power BI, Python webapps, etc.
  • Comfort managing large datasets and building tools
  • Statistical Analysis
  • Ability to work diligently and professionally under high pressure situations
  • Passion for learning, competition
  • Interest in working with both engineering and commercial teams
  • Patience in high energy environments

‘Nice to have’ skills and experience:

  • Operations Research Background
  • Power Markets (especially ERCOT) familiarity
  • Battery Health + Management Background
  • Familiarity with basic trading terminology
  • Grid-scale battery engineering development + operations
  • Controls engineering familiarity
  • Experience with SCADA systems and other HMIs
  • Background in optimization, ML-based forecasting, data-piping experience
  • Comfort presenting to clients, board members, prospective clients
Posted 2026-01-30

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