Who We AreRenew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America.We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone.We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard.We strongly encourage candidates to check out our website at <a href="http://www.renewhome.com">www.renewhome.com</a>  to learn more about the world-changing work we are doing.What You Will Do<ul> <li>Architect and deploy secure, scalable, and highly available batch and real-time data pipelines.  Implement and optimize data lake architectures for structured and unstructured data from millions of thermostats.</li> <li>Work closely with development teams to integrate data engineering services into the broader system architecture.  Collaborate with cross-functional teams consisting of engineers, data scientists, and analysts to deliver clean, reliable data.</li> <li>Analyze and enhance the performance of PostgreSQL Aurora and MySQL databases through query tuning, indexing strategies, and efficient resource allocation.</li> <li>Strive for 99.999% uptime SLA for the systems. Participate in on-call rotations, respond to application and data infrastructure incidents and provide detailed incident reports.  Ensure data quality, integrity, and compliance with best practices and governance standards.</li> <li>Contribute to the design and evolution of our data architecture to support growing business needs.</li> <li>Work on various aspects of our stack, including Python, MySQL, Postgres, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, zeroETL, Prefect, S3 Tables, Athena, Iceberg, Flue, S3, SQS, SES, Pub/Sub, etc.),, Redis, Git, and Jira.</li> <li>Implement application monitoring tools and proactively monitor application performance.</li> <li>Participate in our agile development process, including regular team updates, stand-up meetings, and one-on-ones.</li> </ul>Requirements<ul> <li>5-10 years of industry experience.</li> <li>Bachelor's or Master's degree in computer science or equivalent experience in the software industry.</li> <li>Self-starter who takes initiative to identify improvement areas, rigorously tests potential solutions, and proposes actionable enhancements to drive operational success.</li> <li>Hands-on experience building scalable batch and real-time data pipelines using structured and unstructured data. Experience with orchestration tools like Prefect Airflow, Dagster etc.</li> <li>Experience with streaming technologies like Apache Kafka, AWS Kinesis, Apache Flink, or GCP Pub/Sub.</li> <li>Strong knowledge of data lake architectures and technologies (e.g., AWS S3, AWS Glue, Delta Lake, or similar).</li> <li>Proven ability to analyze and optimize database performance, including query tuning, indexing strategies, and resource allocation preferably with Redshift, Postgres.</li> <li>Proficiency in using CDK and Terraform for automating infrastructure deployment and management.</li> <li>Strong software engineering background and proficiency in one or more programming languages such as Python, Java, PHP, or Ruby.</li> <li>Ability to work collaboratively with development teams, providing guidance and mentorship on data infrastructure-related issues and best practices.</li> <li>Commitment to staying up-to-date with the latest advancements in cloud infrastructure and database technologies, and continuously improving processes and systems.</li> <li>Bonuses:</li> <ul> <li>Knowledge of containerization and orchestration tools like Docker and Kubernetes.</li> <li>Experience with Prefect </li> </ul> <ul> <li>Familiarity with data warehousing best practices and advanced Redshift features (e.g., Spectrum, workload management).</li> <li>Exposure to machine learning pipelines or big data frameworks like Apache Spark or Hadoop.</li> <li>Contributions to open-source data projects or relevant certifications (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).</li> </ul> </ul>BenefitsWhat You'll Get<ul> <li>A full-time position, with a competitive salary based on experience. The base salary for this role is: $145k - $205k.</li> <li>Fully remote work environment with home office set-up allowance.</li> <li>Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first.</li> <li>Competitive benefits package that includes numerous health and wellness benefits.</li> <li>401(k) plan, with employer contributions to the same. </li> <li>Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day.</li> </ul>Not eligible for visa sponsorship.EQUAL OPPORTUNITY EMPLOYERIndividuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Renew Home transforms everyday homes into a unified force for the clean energy transition. Leveraging existing infrastructure with scale-ready technology, we deliver an innovative solution that can be implemented immediately.

Senior Engineer, Data (Remote, US)

Who We AreRenew Home is on a mission to change how we power the world by making it easier for customers to save energy and money at home as part of the largest residential virtual power plant in North America.We partner with industry-leading brands to better manage residential energy for users by prioritizing efficiency, savings, and comfort — and cleaner energy for everyone.We are an Equal Opportunity employer striving to create a diverse, equitable, and inclusive work environment where everyone feels that they have a voice that is heard.We strongly encourage candidates to check out our website at <a href="http://www.renewhome.com">www.renewhome.com</a>&nbsp; to learn more about the world-changing work we are doing.What You Will Do<ul> <li>Architect and deploy secure, scalable, and highly available batch and real-time data pipelines.&nbsp; Implement and optimize data lake architectures for structured and unstructured data from millions of thermostats.</li> <li>Work closely with development teams to integrate data engineering services into the broader system architecture.&nbsp; Collaborate with cross-functional teams consisting of engineers, data scientists, and analysts to deliver clean, reliable data.</li> <li>Analyze and enhance the performance of PostgreSQL Aurora and MySQL databases through query tuning, indexing strategies, and efficient resource allocation.</li> <li>Strive for 99.999% uptime SLA for the systems. Participate in on-call rotations, respond to application and data infrastructure incidents and provide detailed incident reports.&nbsp; Ensure data quality, integrity, and compliance with best practices and governance standards.</li> <li>Contribute to the design and evolution of our data architecture to support growing business needs.</li> <li>Work on various aspects of our stack, including Python, MySQL, Postgres, AWS/GCP (CDK, ECS/EKS, RDS, Redshift, zeroETL, Prefect, S3 Tables, Athena, Iceberg, Flue, S3, SQS, SES, Pub/Sub, etc.),, Redis, Git, and Jira.</li> <li>Implement application monitoring tools and proactively monitor application performance.</li> <li>Participate in our agile development process, including regular team updates, stand-up meetings, and one-on-ones.</li> </ul>Requirements<ul> <li>5-10 years of industry experience.</li> <li>Bachelor's or Master's degree in computer science or equivalent experience in the software industry.</li> <li>Self-starter who takes initiative to identify improvement areas, rigorously tests potential solutions, and proposes actionable enhancements to drive operational success.</li> <li>Hands-on experience building scalable batch and real-time data pipelines using structured and unstructured data. Experience with orchestration tools like Prefect Airflow, Dagster etc.</li> <li>Experience with streaming technologies like Apache Kafka, AWS Kinesis, Apache Flink, or GCP Pub/Sub.</li> <li>Strong knowledge of data lake architectures and technologies (e.g., AWS S3, AWS Glue, Delta Lake, or similar).</li> <li>Proven ability to analyze and optimize database performance, including query tuning, indexing strategies, and resource allocation preferably with Redshift, Postgres.</li> <li>Proficiency in using CDK and Terraform for automating infrastructure deployment and management.</li> <li>Strong software engineering background and proficiency in one or more programming languages such as Python, Java, PHP, or Ruby.</li> <li>Ability to work collaboratively with development teams, providing guidance and mentorship on data infrastructure-related issues and best practices.</li> <li>Commitment to staying up-to-date with the latest advancements in cloud infrastructure and database technologies, and continuously improving processes and systems.</li> <li>Bonuses:</li> <ul> <li>Knowledge of containerization and orchestration tools like Docker and Kubernetes.</li> <li>Experience with Prefect&nbsp;</li> </ul> <ul> <li>Familiarity with data warehousing best practices and advanced Redshift features (e.g., Spectrum, workload management).</li> <li>Exposure to machine learning pipelines or big data frameworks like Apache Spark or Hadoop.</li> <li>Contributions to open-source data projects or relevant certifications (e.g., AWS Certified Data Analytics, GCP Professional Data Engineer).</li> </ul> </ul>BenefitsWhat You'll Get<ul> <li>A full-time position, with a competitive salary based on experience. The base salary for this role is: $145k - $205k.</li> <li>Fully remote work environment with home office set-up allowance.</li> <li>Real and lived work-life balance - Company perks include no pre-set vacation limits (with a top-down culture of taking meaningful PTO every year!), parental leave benefits, and a corporate value of working sustainably and putting families first.</li> <li>Competitive benefits package that includes numerous health and wellness benefits.</li> <li>401(k) plan, with employer contributions to the same. </li> <li>Opportunity to work with amazing people who are passionate about their mission, thriving in a fully-remote work environment, and learning and growing every day.</li> </ul>Not eligible for visa sponsorship.EQUAL OPPORTUNITY EMPLOYERIndividuals seeking employment at Renew Home are considered without regard to race, color, religious creed, sex, gender identification, national origin, citizenship status, age, physical or mental disability, sexual orientation, marital, parental, veteran or military status, unfavorable military discharge, or any other status protected by applicable federal, state or local law.We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

Senior Engineer, Data (Remote, US)

About the Job

About the Company

Renew Home

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