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SimplePracticeSimplePracticeUnited States

Senior Data Engineer

Senior Data Engineer leads data stack evolution, building scalable pipelines and infrastructure for analytics, reporting, and self-serve tools using Snowflake, dbt, AWS. Requires 7+ years experience, BS/MS, expertise in SQL, Python, orchestration tools.

147k – 179k/yr
Remote7+ YOEData Engineering

About the role

Responsibilities

  • Partner with Product, Analytics and Engineering to build scalable systems unlocking data value from backend databases, event streams, and marketing platforms
  • Lead technical vision and architecture with short- and long-term horizons
  • Work with analytics to create company-wide alignment through standardized metrics
  • Support internal use cases like financial reporting, product analytics, and operational metrics
  • Enable external use cases like customer-facing dashboards, self-serve analytics, and next best action in product
  • Manage complete data stack from ingestion through consumption
  • Build tools to increase transparency in company-wide business outcomes
  • Work with DevOps to deploy and maintain data solutions in AWS
  • Define data quality and security framework; promote data engineering best practices

Desired Skills & Experience

Education & Experience

  • BS/MS in Engineering, Computer Science, Mathematics, or related field
  • 7+ years in Data or Analytics Engineering
  • Strong problem-solving and communication skills; comfortable in fast-paced, cross-functional environments

Data Engineering & Pipelines

  • Enterprise architecture and data modeling (relational, dimensional, semantic)
  • Expert in SQL and data modeling
  • Proven experience in data warehouse design with Snowflake
  • Hands-on with DBT for transformations
  • Experience with orchestration/ingestion: Airflow, Prefect, Airbyte, Fivetran, Kafka
  • Familiar with ELT, schema-on-read, DAGs, performance optimization

Cloud & Infrastructure

  • Experience with AWS (S3, RDS, Redshift)
  • Familiar with Terraform, Docker, containerized workflows (bonus)
  • Skilled in structured/semi-structured/columnar formats (JSON, Parquet, ORC)

Analytics & Enablement

  • Building/supporting semantic layers for self-serve analytics
  • Proficient with BI tools: Looker, Tableau, Sisense
  • Standardizing metrics for trusted data access

Programming & Scripting

  • Proficient in Python and Unix/Linux scripting
  • Comfortable with APIs (e.g., curl)

Bonus Points

  • AWS DevOps: Terraform, Kubernetes, Docker
  • Project & Change Management in Agile (SCRUM, Kanban)
  • Real-time ETL: Kafka streaming, AWS Kinesis

Base Compensation Range

$146,500 - $179,000 (base salary; additional bonus/commission possible)

Skills

SQLSnowflakedbtAirflowAWSPythonKafkaFivetranAirbyteLookerTerraformDockerRedshiftS3Prefect
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