Data Engineer

Posted 7 Hours Ago
Hiring Remotely in United States
Remote
Senior level
Artificial Intelligence • Cloud • Information Technology • Consulting
The Role
Design, build, and maintain cloud-native ETL/data pipelines using Databricks and AWS Glue. Ingest and transform structured and semi-structured data with PySpark, Python, and SQL. Integrate sources including MongoDB, implement data quality checks, optimize pipeline performance, and support production deployments, monitoring, and troubleshooting while collaborating with architects and analysts.
Summary Generated by Built In

About the Role

We are looking for a Data Pipeline Engineer with strong expertise in Databricks, AWS Glue, Python, SQL, and MongoDB to design, develop, and optimize scalable data pipelines. The ideal candidate should have experience building cloud-native ETL solutions, transforming large datasets, and delivering high-quality data for analytics and business applications.

Key Responsibilities

  • Develop and maintain scalable ETL/data pipelines using Databricks and AWS Glue.
  • Build data ingestion and transformation workflows for structured and semi-structured data.
  • Write efficient PySpark, Python, and SQL code for large-scale data processing.
  • Integrate data from multiple sources, including MongoDB and relational databases.
  • Implement data quality, validation, and reconciliation checks.
  • Optimize pipeline performance, reliability, and scalability.
  • Collaborate with architects, analysts, and application teams to deliver data solutions.
  • Support production deployments, monitoring, and troubleshooting.

Required Skills

  • 5+ years of experience in Data Engineering or ETL development.
  • Strong hands-on experience with Databricks and PySpark.
  • Experience with AWS Glue and AWS data services.
  • Proficiency in Python and SQL.
  • Experience working with MongoDB.
  • Knowledge of ETL, data modeling, and data warehousing concepts.
  • Familiarity with Delta Lake/Lakehouse architecture is preferred.
  • Experience with Git and Agile development practices.

Good to Have

  • Delta Lake
  • Apache Spark optimization
  • AWS S3
  • CI/CD pipelines
  • Healthcare or Benefits domain experience

Skills Required

  • 5+ years of experience in Data Engineering or ETL development
  • Strong hands-on experience with Databricks and PySpark
  • Experience with AWS Glue and AWS data services
  • Proficiency in Python and SQL
  • Experience working with MongoDB
  • Knowledge of ETL, data modeling, and data warehousing concepts
  • Experience with Git and Agile development practices
  • Familiarity with Delta Lake/Lakehouse architecture
  • Delta Lake
  • Apache Spark optimization
  • AWS S3
  • CI/CD pipelines
  • Healthcare or Benefits domain experience
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The Company
148 Employees
Year Founded: 2018

What We Do

PeerIslands is an AI-native enterprise transformation partner that helps global organizations modernize by streamlining workflows and accelerating software delivery. Using its proprietary PeerAI platform, the company leverages generative AI, multi-agent orchestration, and automation. It specializes in cloud-native application modernization and data engineering, serving Fortune 100 clients in industries such as BFSI, healthcare, and telecommunications.

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