Data Engineer

Mission Lane

full-time

Posted on: 9/24/2025

Origin: • 🇺🇸 United States

✨ AI Apply

💰 $110,000 - $130,000 per year

JuniorMid-Level

AirflowCloudETLGoogle Cloud PlatformKubernetesPythonSQLTerraform

About the role

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 the data platform.
Contribute to the data architecture and design of the 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 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.
Participate in on-call rotation to support critical data pipelines.
Identify and address inefficiencies in data engineering processes.

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, preferably Snowflake
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
Mission Lane is not sponsoring new applicant employment authorization (applicants must be authorized to work in the U.S.)
Experience with Snowflake
Experience with dbt
Experience with Montecarlo
Experience with Airflow
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)