[Hiring] Senior Data Engineer @Mission Lane

Role Description

We are seeking an experienced Data Engineer to join our team and work with us on developing and maintaining data pipelines, driving best practices in software engineering.

You will work closely with stakeholders across the company, including software engineers, data scientists, and business analysts, to ensure that our data infrastructure meets their evolving needs. This is an opportunity to join a high functioning Data Engineering team, with a focus on engineering standards in a company with a strongly data-driven culture.

• Contribute to Technical Excellence:
  • Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP.
  • Engage in our efforts to advance code quality, test coverage, and maintainability of our 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 our data platform.
  • Contribute to the data architecture and design of our data warehouse.
• Collaborate with a wide range of partners:
  • Collaborate effectively 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.
  • Partner with stakeholders to ensure that projects are well defined.
• Contribute to Operational Excellence:
  • Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability.
  • Contribute to the development and maintenance of our CI/CD pipelines for data infrastructure.
  • Participate in on-call rotation to support critical data pipelines.
  • Identify and address inefficiencies in our data engineering processes.

Qualifications

• 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 our specific stack:
  • Snowflake
  • dbt
  • Montecarlo
  • Airflow

Requirements

• Experience with data governance and data quality frameworks.
• Knowledge of data modeling principles.
• Experience with infrastructure-as-code tools (e.g., Terraform, Kubernetes Config Connector).

Benefits

• Work: An engaging culture with access to training programs and advancement opportunities
• Life: Full health, dental, and vision benefits, Flexible Spending Account (for medical and childcare expenses), paid parental leave, and a 401k Company Match
• Balance: Generous PTO, flexible schedules, a Calm App subscription, and more