Senior Staff Data Engineer
New
S
SmithRxHealth-Tech
RemoteFull-TimeStaff
Salary not disclosed
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Job Details
- Experience
- 8+ years with an advanced degree or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field.
- Required Skills
- PythonSQLApache AirflowSnowflakeSparkData modelingdbtLookerPySpark
Requirements
- 8+ years of experience in data engineering with an advanced degree or 12+ years with an undergraduate degree in Computer Science, Information Technology, or a related field.
- Mastery of data modeling concepts, database design, and data warehouse technologies like Snowflake.
- Strong proficiency in PySpark, SQL, and Python.
- Hands-on experience with ETL tools and frameworks such as Apache Spark, Apache Airflow, dbt, Looker, and Superset.
- In-depth experience managing the entire data lifecycle from development to production release of complex distributed systems.
- Proven track record of making decisions optimized for the wider organization in ambiguous environments.
- Strong leadership capabilities with experience influencing cross-functional roadmaps and mentoring junior staff.
Responsibilities
- Define the long-term data engineering strategy guided by company-wide priorities and engineering best practices.
- Create coherent designs across multiple pipelines and API boundaries to simplify infrastructure.
- Make high-impact technical choices, including build vs. buy decisions, to improve developer efficiency.
- Deliver major features and systems at scale, including monitoring, failure domain characterization, and metric definitions.
- Enforce data governance policies, including PII/PHI protection and security.
- Influence cross-functional roadmaps and communicate technical strategies to the executive level.
- Mentor and coach other engineers to maximize their impact and career development.
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