Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI)
New Yorkonsitemid$197K – $225K
Posted today · via Workday
About this role
Data Engineer 4 (Python, AWS, Spark, Kafka, SQL, Snowflake, Databricks, GenAI) Do you love building and pioneering in the technology space? Do you enjoy solving complex business problems in a fast-paced, collaborative, inclusive, and iterative delivery environment? At Capital One, you’ll be part of a big group of makers, breakers, doers, and disruptors who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about marrying data with emerging technologies—focusing on data modeling, data quality, governance, permissible use, and scalable pipeline development. In this role within the Marketing and Messaging engineering group, you will be at the forefront of driving a major technical transformation.…
What we'd score you on
reqspace match rubricFive dimensions, recruiter-grade. Upload your resume and we'll generate a written explanation of where you fit and where the gaps are.
1
Skills match
For this role: python, java, scala, shell, sql…
2
Level fit
This role is mid-level. We check your trajectory against it.
3
Domain experience
Your work in the role's domain matters more than your years total. We weight recent and direct experience.
4
Recency
A skill you used last quarter weighs more than one from five years ago. We grade on recency, not lifetime.
5
Location fit
This role is based in New York. We weight your proximity and willingness to relocate.
Score yourself on this role.
Free · no card · written explanation included
Skills in this role
Pulled from the job description. These are the keywords we'll weight when scoring your fit.
pythonjavascalashellsqlmongodbcassandradynamodbsnowflakedatabricksredshiftawsazuregcpglueemrsplunksparkhadoopkafkaairflowdagsterclaudegithub
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