Senior Data Engineer

Modern data and workflow platform for real estate professionals, building next generation software/data products for the residential real estate industry.
$160,000 - $190,000
Data
Senior Software Engineer
Hybrid
4+ years of experience
Real Estate · Enterprise SaaS

Description For Senior Data Engineer

Perchwell is revolutionizing the real estate industry with its modern data and workflow platform, backed by prestigious investors like Lux Capital and Founders Fund. As a Senior Data Engineer, you'll play a crucial role in scaling our data infrastructure and building robust solutions for Multiple Listing Services (MLSs) across the country.

The position offers the flexibility of remote work or a hybrid arrangement at our SoHo NYC office. You'll be instrumental in developing ETL tooling, data pipelines, and implementing data governance measures. This is an opportunity to shape the standards and culture of the data engineering team at a growing company.

The role requires expertise in data engineering with Python, SQL, or Kotlin, along with experience in cloud architecture (AWS preferred) and data warehouses. You'll work with various technologies including Airflow, S3, SQS, RDS, and more. The position offers a competitive compensation package of $160-190K base salary plus equity and benefits.

As a foundational member of the team, you'll collaborate with Data Insights, Product, Design, and other engineering teams to build solutions that establish Perchwell as the best-in-class MLS workflow and data platform. The company is at an exciting growth phase, currently scaling its platform and onboarding several new MLSs.

This is an ideal opportunity for a seasoned data engineer who wants to make a significant impact in the real estate technology sector while working with cutting-edge technologies and helping shape the future of real estate data management.

Last updated 8 minutes ago

Responsibilities For Senior Data Engineer

  • Build out ETL tooling and data pipelines, consuming data from 3rd party data sources and APIs
  • Design and implement automated data governance measures to improve data quality and observability
  • Build out team processes and culture around ownership and accountability
  • Partner with Data Analyst team to conduct analysis, dashboards, and quality assessments

Requirements For Senior Data Engineer

Python
Kotlin
  • 4+ years experience in data engineering including experience with Python, SQL, or Kotlin
  • Experience building scalable and fault tolerant data pipelines with data originating from 3rd party API's
  • Expertise with ETL schedulers such as Airflow, Dagster, Prefect or similar frameworks
  • Experience with cloud architecture (preferably AWS) and technologies including S3, SQS, RDS, EMR, Glue, Athena, and Lambda
  • Experience working with data warehouses: redshift, snowflake, ClickHouse or google bigquery
  • Experience building CI/CD pipelines using GitLab, GitHub actions, Terraform, or Jenkins
  • Familiarity with microservices architecture and cloud data lake implementations
  • Excellent communication skills with ability to collaborate with cross-functional teams

Interested in this job?

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