
Marketplace • Home Services
Angi is a comprehensive platform connecting homeowners with top-rated, certified professionals for various home improvement services. These services include plumbing, electrical, roofing, bathroom remodeling, pest control, and more. Angi provides cost guides and expert advice to help homeowners make informed decisions about their home projects. The platform offers pre-priced offerings and allows users to find services locally, ensuring convenience and trust in home care solutions.
1001 - 5000 employees
Founded 2016
🏪 Marketplace
October 9
🗽 New York – Remote
💵 $190k - $210k / year
⏰ Full Time
🟠 Senior
🔴 Lead
👮♀️ Software Engineering Manager
🦅 H1B Visa Sponsor

Marketplace • Home Services
Angi is a comprehensive platform connecting homeowners with top-rated, certified professionals for various home improvement services. These services include plumbing, electrical, roofing, bathroom remodeling, pest control, and more. Angi provides cost guides and expert advice to help homeowners make informed decisions about their home projects. The platform offers pre-priced offerings and allows users to find services locally, ensuring convenience and trust in home care solutions.
1001 - 5000 employees
Founded 2016
🏪 Marketplace
• Lead and mentor a team of experienced data engineers, supporting their growth, performance, and technical development. • Design and deliver large-scale, reliable, and cost-efficient data pipelines and platforms that power analytics, reporting, and data-driven products. • Own and evolve the core compute data infrastructure built on Trino, ensuring scalable, performant, and cost-optimized query processing across the data lakehouse environment. • Oversee major data migrations from our warehouse systems to modern, cloud-native lakehouse data platforms with minimal disruption. • Drive the evolution of our data lakehouse and warehouse ecosystems, optimizing storage, compute, and orchestration for performance and cost efficiency. • Collaborate closely with Product, Analytics, and Engineering teams to deliver data infrastructure that enables trustworthy and timely insights. • Champion best practices in data modeling, governance, and observability to ensure data quality, discoverability, and reliability across the organization. • Contribute to infrastructure and automation, leveraging tools like Terraform, Docker, Kubernetes, and CI/CD pipelines to ensure consistency, scalability, and resilience. • Stay technically engaged, participating in architectural design, reviewing implementations, and guiding the team through complex technical decisions. • Leverages AI tools (e.g. Copilot, Cursor, Claude Code) to improve coding speed and debug faster.
• 8+ years of professional experience in data engineering or software engineering, with a deep understanding of distributed data systems and modern data architecture. • 2+ years of experience managing engineering teams, including performance management and leading senior engineers. • Proven experience building and operating large-scale, cloud-based data platforms, ideally in AWS (S3, Glue, IAM, CLI, etc.) or equivalent environments. • Hands-on experience with SQL and Python, and a strong understanding of ETL/ELT workflows and data lifecycle management. • Deep experience with data warehouse and data lakehouse technologies such as Snowflake, Redshift, BigQuery, and Trino as the primary compute infrastructure. • Proficiency with workflow orchestration tools (Airflow, Dagster, Prefect, or Flyte) and data integration tools (Fivetran, Stitch, Airbyte, Meltano, or Glue). • Experienced with infrastructure-as-code (Terraform or CloudFormation) and deployment automation. • Comfortable with Docker and Kubernetes, deploying and scaling data-intensive workloads in containerized environments. • Excellent communication and collaboration skills, able to work effectively across technical and business teams. • Preferred Qualifications: • Experience implementing or contributing to data mesh architectures. • Familiarity with dbt and data modeling frameworks (Kimball, Star Schema). • Experience with Spark, DuckDB, or other distributed compute frameworks. • Exposure to event-driven architectures or streaming platforms (Kafka, Kinesis, etc.). • Understanding of ML platforms or advanced analytics systems.
• 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
Apply NowOctober 8
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