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Homes.com - Senior Data Engineer

CoStar Group
San Diego, United Statesfull_timeVerifiedPosted 13 Aug 2024
💰 $199,000/yr($110,000/yr$199,000/yr)

About the role

Homes.com - Senior Data Engineer

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Job Description

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Homes.com is already one of the fastest growing real estate portals in the industry, we are driven to be #1. Just ask Brad Bellflower, Chief Change Officer at Apartments.com. After its acquisition in 2014, Apartments.com quickly turned into the most popular place to find a place. Proven success at the highest level – and we’re doing it again with the new Homes.com.  Homes.com is a CoStar Group company with 20+ years' experience in leading and growing digital marketplaces. We pride ourselves on continually improving, innovating, and setting the standard for property search and marketing experiences. With Homes.com we’re building a brand on the cusp of defining the industry. We’re looking for big thinkers, brave leaders, and creative advertising wizards ready to influence a new age of homebuying within a tried-and-true, award-winning company.

Learn more about Homes.com

We are hiring a talented Senior Data Engineer in roles related to building cloud-based data pipelines for machine learning, data processing with Apache Spark, and database development.

This position is located in San Diego, CA (UTC Area) and offers 2 days remote per week. 

Responsibilities

  • Designing, building, testing and deploying scalable, reusable and maintainable applications that handle substantial amounts of data.

  • Taking full ownership of your work from development and testing to eventual deployment and support in production.

  • Collaborating with other engineers, product owners, designers, and leadership.

  • Becoming a trusted team member in matters of technical architecture, design and code.

  • Advocating for evolution and improvement - both technical and non-technical - within our teams.  Includes new tech, tools and best practices.

  • Gaining a deep understanding of the CoStar business, including the Analytic products.

Basic Qualifications

  • Bachelor’s Degree required from an accredited, not for profit university or college  

  • A track record of commitment to prior employers 

  • A demonstrable record of accomplishment of building and launching successful products that use terabytes of data

  • 5+ years of data pipeline engineering experience, and/or deep database engineering experience

  • Ability to analyze technical requirements and design new architectures, data models and ETL strategies

  • Hands-on experience with cloud-based relational and non-relational databases

  • Deliver work products that meet specifications, are free of defects, with excellent performance

  • Define Architecture and Development best practices

  • Facilitate discussions among developers to exchange ideas and introduce innovative technologies

  • Evaluate emerging technologies to find opportunities, trends and best practices that can be used to strengthen CoStar’s technology platform and development practices

  • Willingness to take an active role in mentoring other developers

Preferred Qualifications And Skills

  • Performance tuning of database queries (SQL Server or PostgreSQL), database design, monitoring, and analysis

  • Experience with No-SQL databases (e.g. DynamoDB)

  • Experience with data pipeline tools (e.g. Glue, Step Functions, Lambda)

  • Experience using Confluent Kafka

  • Knowledge and/or experience working with Apache Spark/Databricks

  • Monitoring & dashboard metric management (e.g. CloudWatch, Kibana)

What’s in it for You 

When you join CoStar Group, you’ll experience a collaborative and innovative culture working alongside the best and brightest to empower our people and customers to succeed.  

  

We offer you generous compensation and performance-based incentives. CoStar Group also invests in your professional and academic growth with internal training, tuition reimbursement, and an inter-office exchange program.  

 

Our benefits package includes (but is not limited to):

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Company

CoStar Group

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