Data Engineer

• Architect and scale modern data platforms on AWS — Design and build robust, scalable Spark-based ETL/ELT pipelines and data workflows supporting batch and real-time use cases.
• Own end-to-end data lifecycle management — From ingestion and transformation to modeling, orchestration, and serving layers.
• Ensure data quality, governance, and reliability — Implement testing frameworks, observability, monitoring, lineage, and data validation practices.
• Drive platform optimization and cost efficiency — Continuously improve performance, scalability, and cloud cost management across the data ecosystem.
• Establish engineering best practices — CI/CD, Infrastructure as Code, code reviews, documentation standards, and secure data handling.
• Partner cross-functionally with technical and business stakeholders to translate data needs into reliable, production-grade solutions

• Bachelor’s degree in the Computer field, which requires logical, creative thinking, STEM majors, MS degree preferred
• 5+ years of industry experience are required
• Team's Tech Stack: Spark, Scala, Python, DBT, Airflow, Kafka, AWS EMR, Hive, Redshift, Docker, Lambda, SNS, SQS, S3, Looker, DynamoDB, GitHub Actions, Terraform
• Experience with data models
• Experience with CI/CD
• Experience collaborating with and understanding the needs of stakeholders from a variety of business functions, including product, marketing, finance, and so on
• Experience in handling large-scale data with efficiency
• Strong analytical and problem-solving skills
• Experience in Financial Services or FinTech preferred

Thank you!

FocusKPI Hiring Team

Founded in 2010, FocusKPI, Inc. (FocusKPI) is a data science and technology firm specializing in predictive analytics practice and methodologies. FocusKPI is a US company headquartered in Silicon Valley, California, with an East Coast office in Boston, Massachusetts.