Data Engineer

Role Overview

Data Engineer III for BCforward’s Product Operations (ProdOps) team. You will build and maintain scalable data infrastructure that powers analytics and business decision-making, enabling reliable ETL/ELT pipelines, production-ready data models, and self-service analytics.

Responsibilities

• Design, develop, and maintain scalable ETL/ELT pipelines using orchestration and distributed data processing tools.
• Build and maintain production-grade data tables with documentation, governance, and SLAs.
• Develop dashboards and reporting solutions for business intelligence and operational decision-making.
• Collaborate with Data Scientists, Product Managers, and stakeholders to validate data quality and preserve metric integrity.
• Monitor pipeline health, troubleshoot data quality issues, and implement automated monitoring/alerting.
• Optimize SQL queries, data models, and pipeline performance for large datasets.
• Support ad hoc data requests and enable self-service analytics.
• Maintain high standards for data accuracy, documentation, and operational excellence.

Required Qualifications

• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related quantitative field.
• 3+ years in Data Engineering, Analytics Engineering, or a related role.
• Strong SQL experience with Presto, Hive, or SparkSQL.
• ETL/ELT pipeline experience using Airflow, Dataswarm, or similar orchestration tools.
• Strong programming skills in Python (or similar scripting language).
• Solid understanding of data warehousing and dimensional data modeling.
• Strong analytical/troubleshooting skills focused on data quality.

Preferred Qualifications

• 5+ years of experience in Data Engineering.
• Experience with Spark, Hadoop, or other distributed data processing frameworks.
• BI/dashboarding experience with Tableau, Unidash, or similar.
• Knowledge of logging, monitoring, and instrumentation frameworks.
• Version control experience with Git or Mercurial.
• Experience in large technology companies.
• Ability to thrive in a fast-paced, cross-functional environment.

Nice-to-Have Skills

• Spark, Hadoop
• Tableau, Unidash
• Git, Mercurial
• Logging and monitoring