Data Engineer
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AI Summary
Work Location: 100% remote and ideally able to work New York EST hours
Duration: 5 months/ 40 hrs per week
Pay Range: $45 - $55/hr
**No C2C resumes are considered**
Responsibilities:
- 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
**No C2C resumes are considered**
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.
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