Senior Data Engineer, AI Data Platform

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

☁️ SaaS

🤖 Artificial Intelligence

🔒 Cybersecurity

SaaS • Artificial Intelligence • Cybersecurity

Applaudo is a nearshore software development company that helps businesses accelerate their digital transformation. With over a decade of experience, Applaudo partners with some of the world’s most admired brands to streamline IT solutions, optimize delivery costs, and modernize their digital infrastructure. The company offers a range of services including innovation and experience design, development and maintenance, quality assurance, cloud solutions, artificial intelligence, and cybersecurity. Applaudo is known for its expertise in data solutions and app modernization, and has a strong presence in industries like sports, media and entertainment, retail, consumer packaged goods, and financial services. Headquartered in Austin, TX with offices in San Salvador, Applaudo blends top-tier software development talent with cutting-edge technology to drive business growth for its clients.

📋 Description

• Design, build, and maintain scalable data architectures and data models. • Develop and optimize ETL and data ingestion pipelines following Medallion Architecture principles. • Build and maintain Snowflake data warehouse solutions and dbt transformation models. • Develop workflow orchestration pipelines using Dagster or similar tools. • Manage and optimize cloud-based data storage on AWS S3. • Design and maintain graph-based data models where appropriate. • Support entity-matching pipelines and associated data structures. • Collaborate closely with AI and Data Science teams to enable reliable data consumption for AI applications. • Provide technical guidance and promote data engineering best practices across the team. • Participate in Agile ceremonies and contribute to continuous improvement initiatives.

🎯 Requirements

• Bachelor’s Degree in Computer Science, Software Engineering, Information Systems, or a related field preferred, or equivalent professional experience. • 5+ years of experience as a Data Engineer or in a similar role. • Strong experience designing scalable data architectures and data models. • Hands-on experience implementing Medallion Architecture (Bronze, Silver, Gold). • Experience building ETL and data ingestion pipelines. • Advanced SQL proficiency. • Production experience with PostgreSQL or Supabase. • Hands-on experience with Snowflake. • Experience using dbt for data transformation. • Experience working with AWS, particularly S3. • Experience using Dagster or similar workflow orchestration tools. • Familiarity with graph databases. • Understanding of AI/ML concepts, including embeddings and AI-driven data workflows. • Experience using Git and collaborative software development practices. • Strong analytical, problem-solving, and communication skills. • Upper-Intermediate to Advanced English proficiency (B2+/C1).

🏖️ Benefits

• Work-from-home flexibility