Senior Data Engineer

Posted 65ds ago

Employment Information

Education
Salary
Experience
Job Type

Report this job

Job expired or something wrong with this job?

Job Description

Senior Data Engineer developing data pipelines using Python and SQL at Mission Lane. Collaborating with teams to ensure robust data infrastructure for financial services.

Responsibilities:

  • Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP
  • Engage in efforts to advance code quality, test coverage, and maintainability of data pipelines
  • Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation
  • Support the adoption of data quality tools and practices (e.g., data lineage, automated alerting)
  • Research, evaluate, and recommend new technologies and tools to improve data platform
  • Contribute to the data architecture and design of data warehouse
  • Collaborate with software engineering teams to define data structures, streamline ingestion processes, and ensure data consistency
  • Work closely with stakeholders (data scientists, analysts, business users) to understand their data needs and translate them into technical requirements
  • Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability
  • Contribute to the development and maintenance of CI/CD pipelines for data infrastructure

Requirements:

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 2+ years of experience in data engineering
  • Strong analytical SQL skills
  • Strong Python skills
  • Understanding of software engineering principles and best practices (e.g., version control, testing, CI/CD)
  • Experience with data warehousing technologies
  • Experience with cloud platforms, preferably GCP (Google Cloud Platform), including services like Cloud Functions, and GCS
  • Experience designing and implementing reliable and resilient ETL/ELT pipelines
  • Excellent communication, collaboration, and problem-solving skills
  • Experience with Snowflake, dbt, Montecarlo, Airflow

Benefits:

  • Full health, dental, and vision benefits
  • Flexible Spending Account (for medical and childcare expenses)
  • Paid parental leave
  • 401k Company Match
  • Generous PTO
  • Flexible schedules
  • Calm App subscription
  • Unlimited paid time off
  • Monthly wellness stipend
  • Disability coverage
  • Life insurance
  • Remote-friendly work environment