Senior Analytics Engineer

Realtor.com - Austin, TX

- Senior

Austin, TX

Personal and Laundry Services

About the position

At Realtor.com, we have the most comprehensive and accurate coverage of real estate listings and the most engaged users across all the online real estate portals. Our mission is to make buying, selling, renting, and living in homes easier and more rewarding for everyone. The Data Science and Analytics organization at Realtor.com sits at the heart of this mission. We process and analyze terabytes of data every day that enable decisions for millions of home buyers, sellers, renters, dreamers, and real estate professionals. Our goal is to use this data to make the home buying experience a breeze for our consumers. We empower them with the most up-to-date information on properties, help them find their dream homes in the least amount of time, and match them with the most suitable realtor to meet their unique, individual needs.

Responsibilities

• Data modeling- model raw data into clean, tested, and reusable datasets.
• Data transformation- removing inaccurate or corrupted data; aggregating data items into a summarized version; filtering information to get rid of irrelevant, duplicated, or overly sensitive data; joining two or more database tables by their matching attributes; and splitting a single column into multiple ones.
• Data-associated documentation to ensure that everyone on the team uses the same definitions and language.
• Defining data quality rules, standards, and metrics.
• Setting software engineering best practices for analytics.
• Close collaboration with other team members including data engineers, business analysts, and data scientists.

Requirements

• Bachelor's in business analytics, data science, computer science, MIS, or similar technical degrees + 5 years of relevant work experience, or master's + 6 months of relevant work experience.
• Strong SQL skills including query optimization, indexing, building tables in technologies such as Snowflake, Redshift, databricks.
• Strong data engineering skills including building pipelines, creating quality checks, scheduling jobs.
• Knowledge of dbt technology.
• Knowledge of software engineering best practices.
• Git expertise.
• Experience with data engineering and BI tools.

Nice-to-haves

• Hands-on experience with tools for building data pipelines.
• Experience with data warehouses like Snowflake, Amazon Redshift, and Google BigQuery.
• Experience with ETL tools like AWS Glue, Talend, or others.
• Experience with Business Intelligence tools like Tableau, Looker, or equivalent.
• Strong interpersonal and communication skills.

Benefits

• Warm, welcoming, and inclusive culture.
• Intellectual challenges.
• Development opportunities.