Data Engineer

FocusKPI Inc.

$93K — $114K *
Finance & Insurance
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a Computer field; MS degree preferred.
  • 5+ years of industry experience required.
  • Proficient in Spark, Scala, Python, DBT, Airflow, and AWS services.
  • Experience with data models and CI/CD processes.
  • Ability to collaborate with diverse stakeholders, including product and finance.
  • Skilled in handling large-scale data efficiently.
  • Strong analytical and problem-solving capabilities.
  • Financial Services or FinTech experience is preferred.

Responsibilities

  • Architect and scale modern data platforms on AWS.
  • Own end-to-end data lifecycle management from ingestion to serving.
  • Ensure data quality and governance through effective monitoring and validation.
  • Drive optimization and cost efficiency in data ecosystems.
  • Establish and maintain engineering best practices like CI/CD and documentation.
  • Partner with cross-functional teams to deliver reliable data solutions.

Benefits

  • 100% remote work with flexible hours (ideally New York EST).
  • Opportunity to work in a fast-growing environment.
  • Gain exposure to modern technologies and practices in data engineering.
Full Job Description
FocusKPI is looking for a Data Engineer to join our client's growing team and spearhead analyses, providing meaningful insights into their users and product.

Work Location: 100% remote and ideally able to work New York EST hours
Duration: 4 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
Qualifications:
  • 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

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