Related skills
sql python databricks dbt airflow📋 Description
- Design, build, and maintain scalable batch and streaming data pipelines.
- Write clean, well-documented code using Python, SQL, and Spark.
- Ensure data is reliable, accurate, and delivered timely.
- Collaborate with data analysts, data scientists, and product managers.
- Translate business questions into engineering tasks and plan.
- Participate in code reviews, sprint planning, and agile ceremonies.
🎯 Requirements
- 3+ years in data engineering, analytics engineering, or data-focused software.
- Strong SQL skills; proficiency in Python, Java, or Scala.
- Hands-on with Databricks, Airflow, dbt, Spark, or Kafka.
- Knowledge of data modeling, data warehousing, and ETL/ELT.
- Experience with cloud data platforms (AWS, GCP, or Azure).
- Experience supporting BI, analytics, or data science teams.
🎁 Benefits
- Salary: USD 116,000 - 152,000.
- Health, vision, dental; 401(k) with up to 5% match.
- PTO, sick leave, and 14 paid company holidays.
- Commuter benefits and pet insurance.
Meet JobCopilot: Your Personal AI Job Hunter
Automatically Apply to Engineering Jobs. Just set your
preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.
Help us maintain the quality of jobs posted on Empllo!
Is this position not a remote job?
Let us know!