Senior Data Engineer: Cloud-first Data Solutions

Capital One

Cambridge (MA)

On-site

USD 197,000 - 225,000

Full time

7 days ago
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Job summary

Capital One in Cambridge, MA is seeking Data Engineers who will design, build, and scale cloud-first data solutions, collaborating with agile teams across data science, analytics, and software engineering.

You’ll work with Python, Spark, SQL, and platforms like Databricks and Snowflake to power data products used by millions. Candidates should have 4+ years in data engineering and strong communication.

Qualifications

  • Bachelor's degree in a related field or equivalent experience.
  • 4+ years of experience in application or data engineering.
  • 2+ years of experience with SQL and distributed data.
  • 2+ years of coding in Python, Java, or Scala.
  • Experience designing end-to-end data solutions and data pipelines.

Responsibilities

  • Collaborate with Agile teams to design, develop, test, and support data solutions.
  • Influence a team of developers, data analysts and scientists.
  • Utilize Python, Spark, SQL with Databricks and Snowflake for data warehousing.
  • Mentor others and stay current with data technologies and best practices.
  • Collaborate with product managers and engineers to deliver cloud-first data solutions.
  • Independently design, build and deliver data solutions with minimal supervision.
  • Enforce data engineering design patterns for quality and reuse.
  • Communicate data concepts and outcomes clearly to stakeholders.
  • Design scalable, resilient data pipelines and platforms.
  • Implement data security standards and access controls.

Skills

Python
SQL
Spark
Cloud

Tools

Databricks
Snowflake

Job description

Capital One in Cambridge, MA is seeking Data Engineers who will design, build, and scale cloud-first data solutions, collaborating with agile teams across data science, analytics, and software engineering.

You’ll work with Python, Spark, SQL, and platforms like Databricks and Snowflake to power data products used by millions. Candidates should have 4+ years in data engineering and strong communication.

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