Senior Software Engineer - Data Engineering
New
US time zone (Eastern, Central, Mountain, or Pacific), Eastern, Central, Mountain, or PacificFull-TimeSenior
Salary not disclosed
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Job Details
- Experience
- 5+ years in software engineering, and 3+ years on data infrastructure or platform engineering
- Required Skills
- PythonSQLSnowflakeAirflowSparkBigQuerydbtDatabricks
Requirements
- 5+ years in software engineering
- 3+ years on data infrastructure or platform engineering
- Experience building data pipelines with Spark or dbt
- Experience managing data in BigQuery, Snowflake, or Databricks
- Experience orchestrating workflows with Dagster or Airflow
- Expert SQL skills
- Proficiency in Python
- Ability to independently navigate complex, unfamiliar systems to identify and fix difficult bugs
- Communicate proactively, consistently, and effectively with cross-functional teammates and stakeholders
- Self-starter who can carry multiple initiatives, prioritize time and resources, and meet deadlines in a fast-moving environment
- Champion of using automation tools and AI-driven solutions to streamline data workflows and elevate data product reliability
Responsibilities
- Own, maintain, and improve scalable data pipelines that empower Antenna's recently launched Subscriber Views product
- Proactively identify failures, troubleshoot root causes, and implement corrective actions to prevent recurrence
- Develop a deep understanding of Antenna's core data models to collaborate effectively with Data Operations and Data Science
- Partner with the Data Science and Data Operations teams to maintain datasets that teams trust, understand, and use for self-service
- Collaborate with a wide range of cross-functional stakeholders to gather and define requirements
- Document, simplify, and explain complex problems to diverse audiences
- Establish best practices to develop specialized datasets for analytics and modeling
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