Principal Engineer Data Engineering - US Remote

Position Overview

Anywhere is driving digital transformation by building best-in-class products that help agents and brokers sell more homes, make more money, and work efficiently. Data & Analytics (DNA), our data arm, creates innovative analytics and robust data solutions for Anywhere Advisor and Anywhere Brand businesses. We are seeking a Principal Engineer to join our Data Platform Team. In this critical role, you will design, implement, and manage our data infrastructure – ensuring the platform’s availability, usability, and integrity while collaborating with data scientists, software engineers, and product managers.

Anywhere Real Estate Inc. (NYSE: HOUS) is moving real estate to what's next. We represent some of the most recognized brands in the industry and are proud of our people-first culture, award-winning work environment, and commitment to innovation.

Key Responsibilities

• Data Infrastructure Design and Implementation:
  • Evaluate, select, and implement new tools and frameworks to expand our data platform capabilities.
  • Design, build, and maintain robust, scalable, and reliable data pipelines and ETL processes.
  • Develop and maintain data infrastructure and platforms using technologies such as AWS, Snowflake, databases, and Kafka streaming platforms.
  • Ensure data quality, consistency, and integrity across the organization.
  • Architect and optimize data ingestion and Snowflake ETLs.
  • Provide production support and enhance observability of the Data Platform.
• Team Leadership and Mentorship:
  • Lead and mentor data engineers, offering guidance and support to junior team members.
  • Foster a culture of technical excellence and continuous learning.
  • Collaborate with cross-functional teams to ensure data solutions meet business needs.
• Data Security and Compliance:
  • Implement and maintain data security measures to protect sensitive information.
  • Ensure compliance with data protection regulations and industry standards.
• Problem Solving and Innovation:
  • Identify and resolve complex data-related challenges.
  • Stay current with industry trends and emerging technologies.
  • Proactively address performance, scale, complexity, and security considerations.

Required Qualifications

• 10+ years’ experience with a strong understanding of data engineering principles and technologies.
• 10+ years’ experience with data pipelines, ETL processes, and data warehousing.
• 5+ years’ experience building data pipelines using Kafka, Kafka Connect, Airflow, and Snowflake.
• 5+ years’ experience with the Snowflake Data Platform.
• 5+ years’ experience with AWS Data Services such as DMS, EMR, Glue, Athena, S3, CloudWatch, Lambda, or IAM.
• 5+ years’ experience with data quality and data reconciliation.
• 5+ years’ experience managing production data platforms.
• 5+ years’ experience building observability (monitoring & alerting) using tools such as Data Dog.
• Proficiency in programming languages (e.g., Java, Python, SQL).
• Knowledge of data governance, data modeling, and security best practices.
• Proficiency in CI/CD, Infrastructure as Code (IAC), and Agile Development methodologies.
• Strong leadership, mentoring, communication, and collaboration skills with the ability to explain complex technical concepts effectively.
• Strong problem-solving and analytical skills to identify data quality issues and performance bottlenecks.

Benefits & Perks

• Award-winning culture: Recognized as an employer of choice by Great Place to Work, Forbes World's Best Employers, Newsweek World's Most Trustworthy Companies, and Ethisphere World's Most Ethical Companies.
• People-first environment that values empowerment, innovation, and cross-company collaboration.
• Opportunities for career advancement and continuous learning.
• A commitment to diversity and inclusion – EEO Statement: EOE including disability/veteran.