Data Engineer

Compunnel

$110K — $130K *
Finance & Insurance
8 - 10 years of experience
Job Overview by Ladders

Qualifications

  • 8+ years of Data Engineering experience
  • Hands-on experience with BigQuery and other GCP tools
  • Strong SQL and data modeling skills
  • Proficient in Python, PySpark, or Scala
  • Expertise in ETL/ELT development
  • Familiarity with Snowflake and similar data technologies
  • Knowledge of Banking and Financial Services data

Responsibilities

  • Design and implement data pipelines using GCP technologies
  • Monitor and optimize data processing performance
  • Develop data models to support business needs
  • Create and maintain ETL/ELT workflows
  • Collaborate with stakeholders to ensure data accuracy
  • Oversee data compliance and regulatory reporting handling
  • Work with mortgage-related datasets and systems

Benefits

  • Comprehensive health and wellness programs
  • Flexible working hours and remote work options
  • Continuous learning and professional development opportunities
  • Supportive work environment that values innovation
  • Employee assistance programs focused on mental well-being
Full Job Description
Job Title: Data Engineer

Required Qualifications
8+ years of Data Engineering experience.
Extensive hands-on experience with BigQuery, Cloud Storage, Cloud SQL, Cloud Dataflow and Cloud Composer.
Experience with performance monitoring and pipeline observability using GCP-native tools or third-party solutions.
Strong SQL and data modeling expertise.
Experience with Python, PySpark, or Scala.
Hands-on experience with ETL/ELT development.
Expertise in data warehousing concepts and database technologies.
Experience with Snowflake, Databricks, Redshift, or Synapse.
Knowledge of data pipeline orchestration tools (Airflow, ADF, Informatica, etc.).
Strong understanding of Banking and Financial Services data.
Experience working with Mortgage, Loan Servicing, Loan Origination Systems (LOS), or Lending platforms.
Knowledge of Mortgage Loan Lifecycle.
Loan Origination and Loan Servicing processes.
Mortgage underwriting and credit risk concepts.
Experience handling mortgage-related datasets.
Understanding of regulatory reporting and compliance requirements.

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