Lead Engineer Data Engineering - US Based Remote

Anywhere Real Estate - Chicago, IL

Full-time - Senior

Chicago, IL

10,001+ employees

Real Estate

About the position

At Anywhere Real Estate, we are dedicated to building and enhancing a platform that empowers real estate professionals to operate efficiently while providing an exceptional experience for home buyers and sellers. We achieve this by merging cutting-edge technology with a talented team, and we are currently seeking a Lead Data Engineer to join our ranks. In this role, you will be instrumental in developing high-performance, scalable data solutions that cater to the needs of millions of agents, brokers, home buyers, and sellers. Your responsibilities will include designing, developing, and testing robust data platform components, collaborating with product engineers to understand their data pipeline requirements, and devising innovative solutions to meet those needs. As a Lead Data Engineer, you will work closely with a team of skilled engineers, product managers, and designers to define new data products and features. Your expertise in big data and Java will be crucial as you tackle challenging projects involving large data sets. We are looking for someone who thrives in fast-paced environments and embraces agile development methodologies. Your strong analytical skills, commitment to quality, and collaborative work ethic will enable you to excel in this position and contribute significantly to our mission of simplifying and digitizing the real estate transaction process for consumers worldwide.

Responsibilities

• Build high-performance, scalable data solutions for agents, brokers, home buyers, and sellers.
• Design, develop, and test robust data platform components.
• Collaborate with product engineers to understand data pipeline needs and develop innovative solutions.
• Work with a team of engineers, product managers, and designers to define new data products and features.

Requirements

• BS/MS in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience.
• 7+ years of core Scala/Java experience, particularly in building business logic layers and high-volume/low latency/big data pipelines.
• 5+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar.
• 7+ years of experience in Data Pipeline development, ETL, and processing of structured and unstructured data.
• 5+ years of experience using NoSQL systems like MongoDB, DynamoDB, and relational SQL database systems (PostgreSQL) and Athena.
• Experience with AWS technologies such as Lambda, API Gateway, AWS Fargate, ECS, CloudWatch, S3, and DataDog.
• Proven experience in owning and implementing technical/data solutions or pipelines.
• Excellent written and verbal communication skills in English.
• Strong work ethic and entrepreneurial spirit.