Data Engineer

FocusKPI Inc.

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

Qualifications

  • Bachelor's degree in Computer Science or related field; MS preferred.
  • 5+ years of industry experience required.
  • Proficient in Spark, Scala, Python, and DBT.
  • Familiar with CI/CD practices and tools.
  • Experience in large-scale data management and data modeling.
  • Ability to collaborate with cross-functional teams in business.
  • Experience in Financial Services or FinTech preferred.

Responsibilities

  • Architect and scale data platforms using AWS.
  • Design and build Spark-based ETL/ELT pipelines.
  • Manage the end-to-end data lifecycle from ingestion to serving.
  • Ensure data quality and implement data governance practices.
  • Optimize platform performance and manage cloud costs effectively.
  • Establish and enforce engineering best practices and secure data handling.
  • Collaborate with stakeholders to fulfill data needs with production-grade solutions.

Benefits

  • 100% remote work flexibility.
  • Work aligned with New York EST hours.
  • Engagement for a duration of 5 months at 40 hours per week.
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: 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
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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