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Data Engineer at Maids.cc, Remote (Global)

We are looking for a motivated and detail-oriented Data Engineer to join our data team. This role is ideal for someone eager to grow their career in an AI-driven company, building and scaling a data infrastructure that powers every decision.

What You’ll Do

• Design and build the core data infrastructure. Develop and own data models and pipelines on Snowflake; create robust architectures that collect, store, and process data to support analysis and decision‐making.
• Ensure data quality and governance. Implement data quality monitoring systems and anomaly detection to validate source‐to‐target transformations.
• Manage ingestion and transformation. Automate ingestion from APIs and internal systems, manage DBT projects, and orchestrate incremental pipelines.
• Collaborate across the business. Partner with security, product, and enterprise teams to align on data governance requirements and use data to inform product decisions.
• Build analytics tools. Produce dashboards and internal tools that allow leadership to monitor performance and availability.
• Solve complex problems. Think creatively to find optimal solutions to unstructured data challenges.

What We’re Looking For

• BS/MS in Computer Science, Engineering or a related field.
• 0–3 years’ experience designing and building large‐scale data pipelines in cloud environments.
• Proficiency SQL and Python; Experience integrating data across multiple systems, SnowFlake, and DBT is a plus.
• Understanding of data products and how to support data science and machine‐learning initiatives.
• Strong communication and documentation skills; ability to translate business problems into technical solutions.

What You’ll Get

• Competitive salary and performance‐driven rewards.
• Hands‐on experience with AI, automation and real‐world business systems.
• A collaborative, data-driven culture where your work creates real impact, high performance is recognized, and career growth is accelerated.
• Opportunity to learn from experienced Data Engineers.