At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want. Angi at a glance: - Homeowners have turned to Angi for more than 300 million projects - 1,000+ home service tasks covered - 2,800 employees worldwide Why join Angi: Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you. About the team: Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows. While this is a remote position, we are a global company and are looking for applicants located in the eastern time zone to align with our team's working hours. What You'll Do: - Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) - Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads - Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards - Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives - Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows - Participate in on-call rotations and lead troubleshooting efforts for complex production issues - Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability Who You Are: - 5+ years of experience in infrastructure, platform engineering, or data engineering roles - Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges - Strong background in infrastructure architecture within large-scale or enterprise environments - Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems - Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg) - Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows - Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery - Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders - Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners - Track record of producing clear, high-quality documentation and enabling others through shared knowledge - Mindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectively Compensation & Benefits - The base salary band for this position ranges from $115,000 - $205,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. - This position will be eligible for a competitive year end performance bonus & equity package - Full medical, dental, vision package to fit your needs - Flexible vacation policy; work hard and take time when you need it - Pet discount plans & retirement plan with company match (401K) - The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world We Value Diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. #LI-Remote

• Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) • Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads • Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards • Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives • Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows • Participate in on-call rotations and lead troubleshooting efforts for complex production issues • Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability

At Angi®, we’ve had one simple mission for 30 years: get jobs done well. We make it happen by connecting homeowners with reliable pros who have the skills they need — and connecting pros with homeowners who have the jobs they want. Angi at a glance: - Homeowners have turned to Angi for more than 300 million projects - 1,000+ home service tasks covered - 2,800 employees worldwide Why join Angi: Angi® is defining the future of the home services industry, creating an environment where homeowners, pros, and employees benefit from more jobs done well. For homeowners, our platform is a reliable way to find skilled pros. For pros, we're a reliable business partner who helps them find the winnable work they want, when they want. For employees, we’re an amazing place to call home. We can’t wait to welcome you. About the team: Angi is seeking a Senior Engineer I to join our Data Infrastructure team, responsible for building and operating the foundational platforms that power data processing, storage, and analytics across the organization. This role will focus on evolving our lakehouse architecture, data replication systems, and orchestration frameworks while enabling scalable, reliable, and efficient data workflows. While this is a remote position, we are a global company and are looking for applicants located in the eastern time zone to align with our team's working hours. What You'll Do: - Design, build, and operate critical data infrastructure platforms (lakehouse, replication, orchestration, and distributed compute) - Ensure high availability, scalability, and performance of platform services supporting enterprise data workloads - Contribute to infrastructure architecture decisions aligned with large-scale, modern data platform standards - Partner closely with engineering, analytics, and product teams to support data platform adoption and migration initiatives - Drive improvements in developer productivity through automation, tooling, and AI/agentic workflows - Participate in on-call rotations and lead troubleshooting efforts for complex production issues - Produce clear, comprehensive documentation and operational runbooks to support platform usage and reliability Who You Are: - 5+ years of experience in infrastructure, platform engineering, or data engineering roles - Experience working on highly cohesive engineering teams that collaborate in real time to solve complex technical challenges - Strong background in infrastructure architecture within large-scale or enterprise environments - Hands-on experience with cloud platforms (e.g., Amazon Web Services), container orchestration (e.g., Kubernetes), and distributed systems - Experience with data platforms, including lakehouse architectures, data replication, and orchestration frameworks (e.g., Airflow, Kafka, Trino, Iceberg) - Demonstrated experience using AI/agentic engineering tools such as Claude Code, Cursor, GitHub Copilot, or similar tools to improve development efficiency and workflows - Demonstrated ability to pivot quickly in response to changing priorities while maintaining high-quality delivery - Strong communication skills with the ability to clearly articulate technical concepts and tradeoffs to stakeholders - Proven ability to collaborate cross-functionally and engage effectively with both technical and non-technical partners - Track record of producing clear, high-quality documentation and enabling others through shared knowledge - Mindset of an enabler—focused not only on building systems, but on empowering other teams to use them effectively Compensation & Benefits - The base salary band for this position ranges from $115,000 - $205,000, commensurate with experience and performance. Compensation may vary based on factors such as geographic location. - This position will be eligible for a competitive year end performance bonus & equity package - Full medical, dental, vision package to fit your needs - Flexible vacation policy; work hard and take time when you need it - Pet discount plans & retirement plan with company match (401K) - The rare opportunity to work with sharp, motivated teammates solving some of the most unique challenges and changing the world We Value Diversity We know that the best ideas come from teams where diverse points of view uncover new solutions to hard problems. We welcome and value individuals who bring diverse life experiences, educational backgrounds, cultures, and work experiences. Our hiring process may utilize artificial intelligence (AI) tools to assist in candidate screening and assessment. Our AI tools are designed to complement, not replace, human decision-making. #LI-Remote

Responsibilities: - Translate business needs and architectural guidance into detailed designs, data contracts, and implementation plans that break down large initiatives into actionable engineering tasks with reliable estimates - Create detailed pipeline designs covering schemas, transformations, partitioning, DLT configurations, orchestration, error handling, and observability that align with the platform architecture through close collaboration with the Data Architect - Lead implementation and guide junior engineers on design, coding standards, and best practices - Develop metadata-driven and configuration-driven pipeline patterns that reduce custom code and improve consistency - Make technical decisions that ensure reliability, performance, maintainability, and scalability. Ensure production readiness with monitoring, lineage, alerting, observability, CI/CD and documentation - Define and enforce engineering design patterns, coding standards, testing practices, and operational best practices - Evaluate and incorporate new technologies and Databricks capabilities that improve reliability, performance, or developer productivity - Validate new technologies with the Data Architect and operationalize them through documentation, examples, and enablement - Implement automated data quality checks, rule enforcement, and exception handling - Production support of both an existing and new platform including optimization of jobs, incident tracking and other analysis required for production - Lead resolution of complex production issues and deliver durable root cause fixes - Maintain SLAs for reliability, recovery, idempotency, performance, and cost efficiency - Mentor Level 2–3 engineers through pairing, design guidance, code reviews, and technical coaching Basic Skills: - Bachelor’s degree preferred; equivalent experience accepted - 10+ years of experience in data engineering (12+ without a degree) - 3+ years hands-on with Databricks (Delta Lake, DLT, Unity Catalog, workflow jobs) within the last 6 years - 4+ years building production-grade batch/streaming pipelines using PySpark, Spark Structured Streaming, Python, and SQL - Proven experience with data governance, schema evolution, data lineage, and secure access patterns - Proven 2 years’ experience with maintaining and sustaining data pipelines Preferred Skills: • Experience building metadata-driven or configuration-driven pipelines • Experience with data quality frameworks (DQX, Great Expectations, or equivalent) • Experience with observability, metrics and query performance analysis • Strong Spark optimization Work Conditions: • Team collaborative hours between 8am to 4pm EST • Remote corporate office/lab environment • Ability to travel 10% of the time