Data Engineer

About the role

MeeBoss is a fast-growing startup building the next generation of recruiting and talent technology products. As we scale, we are investing in building a reliable, scalable, and self-service data foundation that supports product, growth, operations, and business decision-making.

Responsibilities

• Build and maintain data pipelines across product, marketing, advertising, and business systems.
• Design and improve our data infrastructure, contribute to data warehouse standardization to lower usage barriers and improve overall data delivery efficiency.
• Clean, transform, and integrate data from multiple internal and external sources.
• Establish reliable data models, business metrics, and source-of-truth datasets.
• Implement data quality monitoring, alerting, and validation processes. Continuously optimize based on user experience.
• Partner with Product and Engineering teams on tracking, instrumentation, and analytics requirements. Support business stakeholders in data requests and issue troubleshooting.
• Support reporting, dashboards, and self-service analytics as the company scales.

Qualifications

• 5+ years of experience in Data Engineering, Analytics Engineering, or related fields.
• Strong SQL and Python skills.
• Familiar with the Hadoop ecosystem, including Hive, Spark, Flink, etc., with strong ETL development and performance tuning skills.
• Experience with AWS data services (S3, Athena, Redshift, Glue, Lambda, or similar).
• Passionate about exploring data value, with strong business understanding and abstraction capabilities, as well as excellent communication and cross-functional collaboration skills.
• Strong problem-solving skills and startup mentality.

Nice to have

• Experience with dbt, Airflow, Snowflake, BigQuery, or Databricks.
• Experience supporting product analytics or growth analytics.
• Prior software engineering experience.