It's an exciting time to be a part of Anywhere's team! We're working to build and improve a platform that will deliver modern, flexible solutions for our real estate professionals to work more efficiently while simultaneously crafting a one of a kind experience for home buyers and sellers. Combining great technology with phenomenal people drive our goals, and we are looking for a Principal Data Engineer to join our team to reach them.
We're looking for:
Dedicated and Creative: You thrive on developing powerful, stable, and intuitive applications. Working alongside a team of passionate individuals, you bring your creativity to the forefront.
Big Data and Java Mastery: Your validated experience has honed your skills in Big Data and Java2. Now, you’re eager to elevate your expertise to new heights.
Ambitious Projects: You relish in bold projects that involve large data sets. Even under pressure, you remain cool and focused.
Agile Environment: Fast-paced environments and agile development methodologies are your comfort zone. You embrace them wholeheartedly.
Analytical Skills: Your analytical prowess is unmatched, ensuring quality and precision in your work.
Collaborative Work Ethic: You thrive in collaborative settings, working closely with product managers, designers, and fellow engineers to achieve greatness at Anywhere Real Estate.
What you’ll do:
Design and build high-performance, scalable data solutions that cater to the needs of millions of agents, brokers, home buyers, and sellers.
Develop and test robust, scalable data platform components.
Collaborate with various teams and individuals to understand their data pipeline requirements and devising innovative solutions.
Work with a dedicated team of engineers, and multi-functionally with product managers and designers to define new data products and features.
Skills, accomplishments, interests:
BS/MS in Computer Science, Engineering, or related technical subject area or equivalent combination of training and experience.
8+ years core Scala/Java experience: 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.
5+ years of experience on Data Pipeline design, Data architecture, ETL and processing of structured and unstructured data.
3+ years of confirmed experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena.
Excellent understanding of Architecture, system Design including nonfunctional requirements and experience evaluating tech stack/product to decide build vs. buy.
Experience with technologies like Lambda, API Gateway, AWS Fargate, ECS, CloudWatch, S3, Datadog.
Experience defining and owning technical/data direction of the pipelines.
Excellent written and verbal communication skills in English.
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Exciting News:
EEO Statement: EOE AA M/F/Vet/Disability
Compensation Range:
The base salary for this position is $154,300 to $199,600.