Senior Data Engineer - Analytics
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Senior Data Engineer - Analytics Job Description OVERVIEW CoStar delivers real-time, verified commercial real estate data that helps clients confidently spot great opportunities and make smart choices ahead of competitors. By combining the power of CoStar's independent research organization - the industry's largest - with global data delivery, software, and application solutions, clients can act on opportunities with confidence. 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 Senior Data Engineer to join our 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. 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.
- Gaining a deep understanding of the CoStar business, including the Analytic products.
- Bachelor's degree, preferably in Computer Science/Engineering
- Relevant professional software development experience
- Experience with databases, such as SQL Server, AWS RDS, DynamoDB
- Experi e nce building data pipelines with AWS , involving services such as SageMaker, Rekognition , Personalize , S3, EC2, Kubernetes
- Experience solving Big Data batch and real-time data processing problems , with large-scale analytics and data processing engines such as Apache Spark and Databricks
- Experience with streaming technologies such as Kafka and Spark
- Knowledge of Python data science tools, such as SciKit , Numpy , TensorFlow, Jupyter
- 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!