Data Engineer

February 7

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PadSplit

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PadSplit is a platform that focuses on affordable co-living solutions, allowing individuals to rent private rooms in shared homes across various cities in the United States. By offering flexible stays with trusted identity and screening measures, it aims to create a safe and homey environment for its members. PadSplit markets itself as a more affordable option compared to other room rental services and helps members save money and build credit. The company also provides an opportunity for property owners to earn and make a positive impact in their communities by hosting rooms. PadSplit is recognized for its innovative technology and affordable housing solutions.

Affordable Housing • Real Estate • Property Mangement • Co-Living

51 - 200 employees

Founded 2017

🏠 Real Estate

👥 B2C

🏪 Marketplace

💰 $20.5M Series B on 2021-11

📋 Description

• PadSplit is hiring for a Data Engineer to build and maintain scalable data infrastructure that drives analytics, reporting, and decision-making across the organization. • This role is critical to optimizing data pipelines, ensuring data reliability, and enabling cross-functional teams to unlock valuable insights in a remote, high-growth environment. • The ideal candidate is a collaborative problem-solver who is eager to optimize data pipelines, enhance query performance, and drive reliable, data-informed decision-making across the organization.

🎯 Requirements

• 5+ years of experience in data engineering or a similar role, with a proven track record of designing scalable data solutions. • Expertise in PostgreSQL, including database management, query optimization, and performance tuning. • Hands-on experience with AWS cloud services such as S3, Lambda, Glue, Redshift, and IAM. • Proficiency in data warehousing technologies like Snowflake, Redshift, or BigQuery for cloud-based data storage and analysis. • Strong skills in data transformation, modeling, and building efficient ETL/ELT pipelines. • Experience with data visualization tools like Mode, Looker, Tableau, or Hex to support analytics and reporting. • Knowledge of ElasticSearch or Solr for implementing search indexing and query capabilities. • Proficiency in SQL and Python, with experience in automation, scripting, and workflow orchestration (e.g., Airflow). • Understanding of CI/CD pipelines, infrastructure-as-code principles, and cloud-based deployment practices. • Strong analytical and problem-solving abilities, with a passion for leveraging data-driven insights to inform decisions. • Nice-to-Have: Experience with streaming data solutions like Kafka or Kinesis, knowledge of machine learning pipelines, and familiarity with data privacy regulations such as GDPR or CCPA.

🏖️ Benefits

• Fully remote position - we swear! • Competitive compensation package including an equity incentive plan • National medical, dental, and vision healthcare plans • Company provided life insurance policy • Optional accidental insurances, FSA, and DCFSA benefits • Unlimited paid-time (PTO) policy with eleven (11) company-observed holidays • 401(k) plan • Twelve (12) weeks of paid time off for both birth and non-birth parents • The opportunity to do what you love at a company that is at the forefront of solving the affordable housing crisis