Senior Data Engineer

Angi-posted 3 months ago
$110,000 - $185,000/Yr
Full-time • Senior
NY
1,001-5,000 employees
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We’re looking for a highly skilled Senior Data Engineer to join our Data Engineering team within the Data Enablement organization. You’ll play a critical role in architecting, building, and maintaining the data infrastructure that empowers analytics, business intelligence, and operational decision-making across Angi. This is a hands-on engineering role focused on delivering scalable, reliable, and well-governed data solutions in a modern cloud environment.

  • Design and implement scalable data models and pipelines using industry-standard techniques (Kimball, Data Vault, etc.)
  • Build, optimize, and maintain ELT workflows leveraging dbt and cloud-based ETL/ELT platforms (Fivetran, Stitch, etc.)
  • Develop orchestration workflows using tools like Airflow or Dagster
  • Write efficient SQL and develop in programming languages such as Python, Go, or Kotlin
  • Implement DevOps practices including containerization (Docker), CI/CD pipelines (GitLab), and infrastructure-as-code (Terraform, Helm, EKS)
  • Work with AWS services (S3, IAM, AWS CLI, Glue) and data lake/lakehouse frameworks (Apache Iceberg, Glue Catalog)
  • Integrate with and optimize cloud data warehouse solutions (Snowflake, Redshift, Trino)
  • Develop and maintain integrations with BI tools such as Looker, including LookML development and embedded analytics
  • Collaborate closely with stakeholders to understand requirements and deliver solutions that meet business needs
  • Operate autonomously—creating work items, prioritizing tasks, and tracking progress independently
  • Communicate effectively with both technical and non-technical audiences
  • Proven experience in data modeling and warehouse design
  • Deep expertise with dbt and modern ELT patterns
  • Strong SQL skills and programming experience in Python, Go, or Kotlin
  • Experience with containerized deployments, CI/CD, and infrastructure-as-code
  • Proficiency with AWS services relevant to data engineering
  • Hands-on experience with modern data lake/lakehouse architectures
  • Knowledge of developing within BI tools such as Looker, including LookML
  • Strong problem-solving skills and ability to work independently
  • Excellent communication and stakeholder management skills
  • The salary band for this position ranges from $110,000 - $185,000 commensurate with experience and performance
  • 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
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