Senior Data Engineer - Modeling & Architecture

Capital One Group; Cambridge (MA); On-site; USD 197,000 - 225,000; Full time

Job summary

Capital One is seeking Data Engineers to build cloud-first data solutions at scale in a fast-paced environment. You will work with Python, Spark, and SQL across distributed data platforms, collaborating with data teams to deliver robust data products for millions of Americans.

The role emphasizes architecture, scalability, and data security, with opportunities to mentor teammates and engage with cloud technologies in a supportive, inclusive culture.

Qualifications

• BS or higher in CS or quantitative field.
• At least 4 years in application development.
• At least 2 years in distributed data.
• At least 2 years in SQL.
• At least 2 years in one programming language (Python/Java/Scala).
• At least 2 years in data pipeline design.

Responsibilities

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions.
• Influence a team of developers, data analysts and data scientists with ML and lakehouse architectures.
• Utilize Python and Spark with SQL and NoSQL databases and cloud data warehousing like Databricks/Snowflake.
• Mentor data community members and stay current with data tech trends.
• Deliver cloud-first data solutions coordinating with product managers and software engineers.
• Architect data pipelines with scalable, resilient design and strong data security.

Skills

Python

SQL

Scala

Java

Data pipelines

Cloud

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

Snowflake

EMR

Spark

Airflow

Job description

Capital One is seeking Data Engineers to build cloud-first data solutions at scale in a fast-paced environment. You will work with Python, Spark, and SQL across distributed data platforms, collaborating with data teams to deliver robust data products for millions of Americans.

The role emphasizes architecture, scalability, and data security, with opportunities to mentor teammates and engage with cloud technologies in a supportive, inclusive culture.