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CoStar

Senior Data Engineer (Homes.com)

Remote Washington, DC
USD 110k - 190k
Azure GCP SQL Python R DynamoDB Kafka AWS Spark
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Description
Senior Data Engineer (Homes.com)

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Job Description

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Overview
CoStar Group (NASDAQ: CSGP) is a leading global provider of commercial and residential real estate information, analytics, and online marketplaces. Included in the S&P 500 Index and the NASDAQ 100, CoStar Group is on a mission to digitize the world’s real estate, empowering all people to discover properties, insights and connections that improve their businesses and lives. 
Homes.com
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. 
Homes.com is growing quickly and we’re looking for a Senior Data Engineer to help accelerate our growth. This role will be responsible for helping build out sitewide tracking architecture on Homes.com, and then feeding that data into user-friendly KPI dashboards which track site performance and product usage and provides day to day insights on consumer behavior. You will engineer various aspects of our data management, ranging from designing and maintaining automated data infrastructure and creating BI solutions to facilitating data access and analysis for key company teams.
This position is located in Washington, DC and offers 3 days a week onsite with 2 days remote.
Responsibilities
  • Design, build, test, deploy and maintain real-time and batch processed Data pipelines.
  • Developing and maintaining data storage and retrieval systems.
  • Ensuring data accuracy, consistency, and security.
  • Integrating data from multiple source systems.
  • Developing and maintaining data models.
  • Developing and maintaining ETL/ELT processes.
  • Collaborating with analytics team, data scientists and business analysts to ensure that data is available and accessible.
  • Collaborating with other cross-functional engineering teams.
  • Becoming a trusted team member in matters of technical architecture, workflow, design and code.
  • Advocating for evolution and improvement - both technical and non-technical - within our teams. Includes new tech, tools and best practices
Basic Qualifications
  • Bachelor’s Degree required from an accredited, not for profit university or college, with degree preferably in Computer Science, Data Science, or related field. MSc or PhD is a plus.
  • 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 deep database engineering experience.
  • Ability to analyze technical requirements and design new architectures, data models and ETL/ELT strategies
  • Hands-on experience with cloud-based relational and non-relational databases and proficiency in SQL.
  • Deliver work products that meet specifications, are free of defects, with excellent performance.
  • Define Architecture and Development best practices.
Preferred Skills
  • Proficiency in programming languages such as Python, R, and SQL.
  • Performance tuning of database queries (Snowflake, Databricks) .
  • Proficiency in data modeling techniques.
  • Experience with No-SQL databases (e.g. DynamoDB).
  • Experience with data pipeline tools (e.g. Glue, Apache Airflow, Lambda).
  • Experience using Confluent Kafka.
  • Working knowledge in cloud computing platforms such as AWS, Azure, and Google Cloud.
  • Knowledge and experience working with data frameworks (e.g. Apache Spark).
  • Monitoring & dashboard metric management (e.g. CloudWatch, Kibana).
  • Knowledge of data security and Privacy regulations.
  • Familiarity with Data visualization tools such as Tableau, and Power BI.
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):
  • Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
  • Life, legal, and supplementary insurance
  • Virtual and in person mental health counseling services for individuals and family
  • Commuter and parking benefits
  • 401(K) retirement plan with matching contributions
  • Employee stock purchase plan
  • Paid time off
  • Tuition reimbursement
  • On-site fitness center and/or reimbursed fitness center membership costs (location dependent), with yoga studio, Pelotons, personal training, group exercise classes
  • Access to CoStar Group’s Diversity, Equity, & Inclusion Employee Resource Groups
  • Complimentary gourmet coffee, tea, hot chocolate, fresh fruit, and other healthy snacks
This position offers a base salary range of $110,200 -$190,000, based on relevant skills and experience and includes a generous benefits plan.
#LI-AR

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CoStar Group is an Equal Employment Opportunity Employer; we maintain a drug-free workplace and perform pre-employment substance abuse testing

CoStar
CoStar
Finance Financial Services Impact Investing Analytics Commercial Product Research Real Estate Analytics Commercial Product Research Real Estate

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