Senior Data Engineer

Ready
California
Workplace: RemoteFull timeUSD 190,000 - 240,000 annuallyFunction: Solutions Engineering & Sales EngineeringExperience: 5+ yearsSkills: ["Communication","Mentorship","Ownership","Decision-making","Continuous improvement"]

Build and operate scalable data infrastructure for multi-state broadband monitoring and BEAD programs. You’ll design AWS- and GCP-based pipelines and data models, create production-grade Airflow DAGs, and maintain DBT workflows with strong data quality checks. Own data lake/warehouse architecture, observability, and incident response, while optimizing SQL performance across Athena/Presto, Redshift, and PostgreSQL. Mentor engineers and help shape technical standards and build-vs-buy decisions.

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FursaFursa
Ready
Ready
1 week ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live
Reposted: similar role first listed 1 week ago

Job Summary

Build and operate scalable data infrastructure for multi-state broadband monitoring and BEAD programs. You’ll design AWS- and GCP-based pipelines and data models, create production-grade Airflow DAGs, and maintain DBT workflows with strong data quality checks. Own data lake/warehouse architecture, observability, and incident response, while optimizing SQL performance across Athena/Presto, Redshift, and PostgreSQL. Mentor engineers and help shape technical standards and build-vs-buy decisions.
Location: California
Workplace: Remote
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Partner with product and engineering teams to translate requirements into technical architectures balancing cost, performance, and maintainability.
  • •Design, implement, and maintain scalable data infrastructure on AWS (S3, Athena, RDS/PostgreSQL, ECS, Lambda, Secrets Manager, CloudWatch).
  • •Own data lake and warehouse architecture, including partitioning strategies, storage optimization, and data lifecycle management.
  • •Build and maintain production-grade Apache Airflow DAGs and robust DBT pipelines with data quality checks.
  • •Ensure observability across the data platform with monitoring, alerting, and fast incident resolution; mentor junior and mid-level engineers through reviews and architectural guidance.

Pay and Benefits

Salary: USD 190,000 - 240,000 annually
Equity and Bonus:Equity

Key Requirements

  • •5+ years of data engineering experience, owning and operationally supporting production systems end-to-end.
  • •Strong SQL proficiency (PostgreSQL, Athena/Presto) and Python, with production-quality coding.
  • •Deep hands-on experience with AWS data services (e.g., S3, Athena, RDS, ECS, Lambda, IAM, CloudWatch).
  • •Production experience with Apache Airflow (or similar) orchestration.
  • •Experience building large-scale time-series, event-based, or streaming data systems, plus ability to mentor engineers.
Experience:5+ yearsData engineeringGovernment programsSaaS
Skills:CommunicationMentorshipOwnershipDecision-makingContinuous improvement
Tech Stack:AWSGCPAmazon S3Amazon AthenaRDSPostgreSQLECSLambdaSecrets ManagerCloudWatchApache AirflowDBTSQLRedshiftPrestoPythonGitHubSubversionGitLabAirflow DAGs

Company Brief

Ready
Provides property operations, resident experience, and building services for multifamily and residential properties, combining on-site staff, concierge services, and software tools to streamline building management and enhance resident engagement and satisfaction.
Industry: PropTech
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