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Jobs or company...

Senior Software Engineer | Data Integration & IoT

Salary undisclosed

Apply on

Dice
Original
Simplified

DAHL has partnered with a leading residential solar provider looking to add to their team. Our client is looking for a senior resource to help with technical direction for all grid services engineering solutions and will also lead the way in transforming their systems to self-healing, reliable and reactive systems. DAHL has been partnering with candidates one-on-one to get them into jobs they love.

Job Title: Senior Software Engineer

Location: remote

Duration: 12 months

Pay: Best Market Rate

Required skills:

  • Experience with high-performance data processing systems, including batch and streaming.
  • Proficiency in Node.js, TypeScript/JavaScript, and Python.
  • Experience with REST APIs and GraphQL APIs.
  • Familiarity with IoT data is preferred.
  • Experience with both Google Cloud Platform and AWS is required.
  • Energy/Solar domain knowledge would be a plus

Responsibilities |Technical Leadership:

  • Onboard new vendors with various hardware configurations to the Sunrun data platform.
  • Quickly ramp up to build integrations, data pipelines, backend APIs, and microservices.
  • Help establish development and architectural standards within the team, promoting technical excellence and best practices.
  • Collaboration: Work closely with Product Management, DevOps, and other team members to develop applications that are easily testable and perform well under diverse network conditions.
  • Data Availability: Ensure consumers have access to the data they need for informed decision-making, focusing on data availability and reliability.
  • Best Practice Adherence: Champion the adherence to best-practice development methodologies throughout the software development process.
  • Data Pipelines: Build and maintain data pipelines to efficiently process and manage data.
  • Algorithm and Software Component Design: Design and code scalable and secure algorithms, data structures, and software components.
  • Documentation: Maintain clear and comprehensive documentation for code, systems, and processes.
  • Code Reviews: Lead design and code reviews to ensure high-quality code and knowledge sharing within the team.
  • Automated Testing: Facilitate automated testing to enable rapid innovation and ensure the stability of applications.
  • Mentorship: Mentor and help build skills across the team through standards setting, code reviews, and pair programming.
  • Performance Tuning: Optimize production applications to maximize efficiency and performance.
  • Metrics and Analysis: Develop ongoing metrics, analysis, and dashboards to guide important decisions and monitor system performance.?

Qualifications | Education:

  • A Bachelor's or Master's degree in Computer Science or a related field is preferred.
  • Experience: A minimum of 5 years of hands-on experience in developing complex enterprise applications with Java, JavaScript, TypeScript, Node.JS, Kotlin, and Python.
  • Leadership: Strong leadership skills with the ability to mentor and guide team members.
  • Experience working on data-intensive and highly scalable systems is a strong plus.
  • Cloud Platforms: Extensive experience with AWS cloud platform or Google Cloud Platform
  • Database Knowledge: Proficiency in both relational and NoSQL databases.
  • Cloud Services: Familiarity with various cloud services and serverless architectures..
  • Enterprise Environment: Prior experience working in complex enterprise environments and developing complex programs.
  • API Development: Strong expertise in REST API architecture and development.
  • Git Proficiency: Knowledge of Git, including version control, branching, merging/rebasing, and pull requests.
  • SQL and Procedural Languages: Ability to write SQL queries and procedural code for data handling.
  • Automation: A focus on automation, including CI/CD practices and test automation.
  • Agile/SCRUM: Experience with Agile/SCRUM software development methodologies.
  • Security Practices: Strong understanding of security practices and data protection.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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