Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries.
At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact.
We are looking for a Data Engineer / Senior Data Engineer to design, build, and scale robust data pipelines and analytics solutions. This role combines hands-on development with technical leadership, ensuring high-quality data systems that power business insights and analytics products.
You will work across the full data lifecycleβfrom ingestion and transformation to modeling and deliveryβwhile contributing to architectural decisions and best practices.
Requirements
Benefits
Build and maintain batch and streaming data pipelines, ETL workflows, and data warehouse solutions, improving data quality, reliability, and performance through Python, SQL, BigQuery, and Airflow.
Build and optimize cloud-native data platforms and distributed pipelines for scientific research, analytics, and machine learning, with a focus on data quality, governance, reliability, and cost efficiency.
Design and build scalable data pipelines using Python, Apache Spark, and Databricks, while modernizing legacy systems and ensuring data quality and reliability.
Build reusable Python data ingestion and real-time streaming pipelines that connect customer systems with PostgreSQL and Snowflake, while improving schema mapping, onboarding, and production reliability.
Design and maintain scalable Azure Databricks data pipelines, strengthen data quality and monitoring, and use AI-assisted tools to automate code reviews, compliance checks, and routine engineering work.
