Data Engineer Job Description
The Data Engineer is responsible for leveraging expertise in Python, SQL, Spark to drive organizational outcomes. This role combines technical proficiency with strategic thinking to deliver measurable results across projects and initiatives.
Key Responsibilities
- Apply Python expertise to deliver high-quality results and drive team objectives forward
- Apply SQL expertise to deliver high-quality results and drive team objectives forward
- Apply Spark expertise to deliver high-quality results and drive team objectives forward
- Apply Airflow expertise to deliver high-quality results and drive team objectives forward
- Apply Kafka expertise to deliver high-quality results and drive team objectives forward
- Apply Snowflake expertise to deliver high-quality results and drive team objectives forward
- Apply dbt expertise to deliver high-quality results and drive team objectives forward
Required Qualifications
- Demonstrated proficiency in Python
- Demonstrated proficiency in SQL
- Demonstrated proficiency in Spark
- Demonstrated proficiency in Airflow
- Demonstrated proficiency in Kafka
- Strong communication and collaboration skills
- Relevant bachelor's degree or equivalent experience
Preferred Qualifications
- Advanced degree or professional certification in a relevant field
- 3+ years of progressive experience in a similar role
- Experience with BigQuery and related technologies
Typical Salary Range
$65,000 - $130,000 depending on experience and location
Keywords Found in Data Engineer Job Descriptions
- Python
- SQL
- Spark
- Airflow
- Kafka
- Snowflake
- dbt
- ETL
- Data Pipelines
- BigQuery
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