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Data Engineer Job Description
Data Engineer - CoStar Group (Atlanta)OVERVIEW The Analytics team is responsible for the development of CoStar's customer-facing Real Estate Analytics products. We think big, creating innovative data-intensive applications that take the vast amount of data collected by our CoStar Research teams to create a fast, reliable and intuitive analytics platform for our customers. We are a collaborative group with a mix of big data, API/platform and front-end skills, and we are growing rapidly to help invent the future of Real Estate Analytics. We are searching for an experienced Data Engineer to join our Atlanta team. We have the industry's largest set of Commercial Real Estate property data, which lets us create innovative products while solving challenging data engineering problems such as high-volume data ingestion, data cleansing, real-time modeling/publication, and high-performance, high-availability consumption of all this information. This role will collaborate closely with technical leadership, product owner and other developers, while also giving you independence and ownership of your work. As a senior member of the group, you will have the opportunity to help drive the technical strategy and architecture of our platform. RESPONSIBILITIES- Designing, building, testing and deploying scalable, reusable and maintainable applications that handle large 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.
- Bachelor's degree, preferably in Computer Science/Engineering
- 5+ years of professional software development experience
- Cloud computing experience with AWS
- Experience solving Big Data batch and real-time data processing problems
- Experience with large-scale analytics and data processing engines such as Apache Spark
- Experience with streaming technologies such as Kafka and RabbitMQ
- Experience with relational and column store databases, such as SQL Server, Redshift, Cassandra
- Knowledge of Python data science tools, such as SciKit, NumPy, TensorFlow
- Strong math and analytical skills
- Comprehensive healthcare coverage: Medical / Vision / Dental / Prescription Drug
- Life, legal, and supplementary insurance
- Commuter and parking benefits
- 401(K) retirement plan with matching contributions
- Employee stock purchase plan
- Paid time off
- Tuition reimbursement
- Complimentary gourmet coffee, tea, hot chocolate, prepared foods, fresh fruit, and other healthy snacks
Vacancy expired!