Remote Senior Engineer, Data (Remote, US)

Description:

• Renew Home is seeking a Senior Engineer, Data to architect and deploy secure, scalable, and highly available batch and real-time data pipelines.
• The role involves implementing and optimizing data lake architectures for structured and unstructured data from millions of thermostats.
• The engineer will work closely with development teams to integrate data engineering services into the broader system architecture.
• Collaboration with cross-functional teams consisting of engineers, data scientists, and analysts is essential to deliver clean, reliable data.
• Responsibilities include analyzing and enhancing the performance of PostgreSQL Aurora and MySQL databases through query tuning, indexing strategies, and efficient resource allocation.
• The engineer will strive for a 99.999% uptime SLA for the systems and participate in on-call rotations, responding to application and data infrastructure incidents.
• Ensuring data quality, integrity, and compliance with best practices and governance standards is a key responsibility.
• The role also involves contributing to the design and evolution of the data architecture to support growing business needs.
• The engineer will work on various aspects of the tech stack, including Python, MySQL, Postgres, AWS/GCP, Redis, Git, and Jira.
• Implementing application monitoring tools and proactively monitoring application performance is required.
• Participation in the agile development process, including regular team updates, stand-up meetings, and one-on-ones, is expected.

Requirements:

• Candidates should have 5-10 years of industry experience.
• A Bachelor's or Master's degree in computer science or equivalent experience in the software industry is required.
• The ideal candidate is a self-starter who takes initiative to identify improvement areas and proposes actionable enhancements.
• Hands-on experience building scalable batch and real-time data pipelines using structured and unstructured data is necessary.
• Experience with orchestration tools like Prefect, Airflow, or Dagster is required.
• Familiarity with streaming technologies such as Apache Kafka, AWS Kinesis, Apache Flink, or GCP Pub/Sub is essential.
• Strong knowledge of data lake architectures and technologies (e.g., AWS S3, AWS Glue, Delta Lake) is required.
• Proven ability to analyze and optimize database performance, including query tuning and indexing strategies, preferably with Redshift and Postgres.
• Proficiency in using CDK and Terraform for automating infrastructure deployment and management is necessary.
• A strong software engineering background and proficiency in one or more programming languages such as Python, Java, PHP, or Ruby is required.
• The candidate should have the ability to work collaboratively with development teams, providing guidance and mentorship on data infrastructure-related issues.
• A commitment to staying up-to-date with the latest advancements in cloud infrastructure and database technologies is essential.
• Bonuses include knowledge of containerization and orchestration tools like Docker and Kubernetes, experience with Prefect, familiarity with data warehousing best practices, exposure to machine learning pipelines, and contributions to open-source data projects or relevant certifications.

Benefits:

• This is a full-time position with a competitive salary based on experience, ranging from $145k to $205k.
• The role offers a fully remote work environment with a home office set-up allowance.
• The company promotes a real work-life balance with no pre-set vacation limits and a culture of taking meaningful PTO.
• Parental leave benefits and a corporate value of working sustainably and putting families first are included.
• A competitive benefits package that includes numerous health and wellness benefits is provided.
• The position includes a 401(k) plan with employer contributions.
• Employees will have the opportunity to work with passionate individuals in a fully-remote environment, fostering learning and growth every day.