Backend Data Engineer

Virtasant • Austin, TX

31d • Remote

About The Position

Our client is a US company that specializes in online real estate marketplaces, making a difference in the way people buy and sell their homes. For them, we’re looking for a Backend Data Engineer to build data pipelines and support our client's engineering team across their two real estate software platforms. You need to be based in Latin America. In this role, you’ll be designing pipelines and data stores to manage terabytes of real estate data. This role will allow you to define and refine the overall data strategy for a growing tech company.

Requirements

• 2 to 5 years of experience working as a Data Engineer or Backend Engineer
• Expert-level understanding of SQL-based database design and usage
• Expert-level proficiency in at least one programming language (Ideally Python, but PHP or JavaScript could work too)
• Professional experience in high-volume ETL systems.
• Effective communication with engineering peers, project managers, and business stakeholders.
• Must be based in Latin America.

Nice To Haves

• An advanced degree in Computer Science, Analytics, or a related field
• Hands-on experience building data solutions in at least one public cloud environment (AWS preferred).
• Experience using Python or dbt in a data role
• Experience with a Business Intelligence tool like Tableau, Qlik, or Amazon QuickSight.

Responsibilities

• Design, build, and maintain our client's data pipelines and data warehouses for user-facing features, analytics, and aiding business intelligence.
• Develop ETL ecosystem tools using tools like Python, External APIs, Airbyte, Snowflake, dbt, PostgreSQL, MySQL, and Amazon S3.
• Define automated solutions to solve complex problems and better understand our clients' data, users, and market.
• Assist the overall engineering team with database design and data flows
• Develop engineering best practices, documentation, and process flows that facilitate collaboration and knowledge transfer.
• Lead the way in identifying, scoping, building, and deploying new data solutions (pipelines, warehousing, and other infrastructure).
• Initiate and own projects from start to finish.
• Collaborate across teams to develop solutions that are the best fit for the products and their peers.
• Manage high volumes of data.
• Successfully read from external APIs and write to internal databases.
• Gain familiarity with existing data pipelines, schemas, and tooling.
• Improve and mature pipelines to process event streams and dynamically update data products.
• Contribute to data architecture decisions across multiple teams.
• Own multiple data streams that cross team boundaries.
• Play a key role in shaping data strategy, reliability, and scalability across platforms.

Benefits

• Totally remote, full-time (40h/week)
• Work hours - 8 hours, with US Central time overlap (10 AM - 4 PM)
• Independent contractor agreement (after the first 6-month trial, it's a long-term, no-end-date contract)
• Payment in USD, biweekly or monthly - your choice

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: Associate degree