Senior Data Engineer – AI Data Platform

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Applaudo

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2013

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

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

• Refactor existing schemas and tables to remove duplication and improve consistency within the Medallion Architecture • Optimize and reorganize Airflow pipelines for reliability and performance • Build, maintain, and improve dbt models that power downstream analytics and product features • Implement aggregation and pre-computation strategies to improve dashboard and chat response times • Profile and tune Snowflake query performance to support a responsive, production-scale platform • Improve overall warehouse efficiency, scalability, and cost-effectiveness • Implement data quality testing and validation to catch issues before they reach production • Troubleshoot and resolve production data issues, owning fixes through to resolution • Take end-to-end ownership of solutions from implementation through production stability

🎯 Requirements

• Bachelor's Degree in Computer Science, Software Engineering, Information Systems, or a related field is desired, or equivalent professional experience • 5+ years of experience as a Data Engineer working with production-scale data platforms • Proven experience refactoring live schemas and executing safe, production-grade data migrations • Hands-on experience consolidating and deduplicating data within a Medallion Architecture (Bronze, Silver, Gold) • Strong Snowflake expertise, including query profiling, performance tuning, warehouse sizing, clustering, and cost optimization • Solid dbt experience, including model design, incremental models, materializations, and testing • Experience developing and refactoring Airflow DAGs and operating pipelines in production • Advanced SQL skills and experience diagnosing and resolving production performance issues • Working proficiency in Python for data engineering tasks • Experience with Git and CI/CD practices in a production environment • Ability to work with undocumented or evolving pipelines and schemas • Strong communication skills for explaining technical decisions and trade-offs • Upper-Intermediate to Advanced English proficiency (B2+/C1) for technical discussions • Snowflake SnowPro certification is nice to have • dbt Analytics Engineering certification is nice to have • Experience with data lineage tools such as Monte Carlo, OpenLineage, or dbt Docs is nice to have • Exposure to BI or semantic layer tools is nice to have • Experience with CDC or streaming data pipelines is nice to have • Experience supporting data platforms behind AI, LLM, or conversational products is nice to have