Capital One Shopping Tech, Data Engineer 5 (Remote - Eligible)

Description

You will solve complex business problems in a collaborative, inclusive setting where work moves in iterative cycles.

The company is driving a major transformation across its business, and the team is looking for data engineers who enjoy combining data with new technologies.

The company is a large group of builders and problem solvers who meet real customer needs with technology.

Responsibilities

• Join agile teams to design, build, test, release and support full-stack technical solutions.
• Guide developers, data analysts and data scientists who work in machine learning, distributed microservices, lakehouse architecture and full-stack systems.
• Build solutions with Python, Spark, open-source relational and NoSQL databases, and cloud data warehouses such as Databricks and Snowflake.
• Keep up with data trends, test new tools, take part in internal and external tech communities, and coach other data people.
• Work with product managers and software engineers on cloud-first data solutions that power experiences for millions of Americans seeking financial empowerment.
• Design, build and deliver cloud data solutions and applications largely on your own, with little supervision.
• Set and enforce common data engineering design patterns that keep code high quality, easy to maintain and reusable across platforms and pipelines.
• Act as the data engineering team's spokesperson, explaining technical ideas and data results clearly to internal and external stakeholders.
• Build pipelines and platforms that scale, recover from failure and run efficiently as data volume and business demand grow.
• Be a force multiplier: contribute hands-on while raising the skills of peers and junior engineers through mentoring.
• Lead large, transformative data initiatives end to end, making key architecture decisions and weighing platforms such as Snowflake and Databricks against technical and business needs.

Requirements

• Bachelor's degree or higher in computer science or a related quantitative field such as statistics, economics, operations research, analytics, mathematics or engineering.
• At least 6 years of application development experience. Internships do not count.
• At least 4 years of experience in distributed data.
• At least 4 years of SQL experience.
• At least 4 years of programming in at least one of Python, Java or Scala.
• At least 4 years of designing and building data pipelines.
• At least 2 years of data modeling and designing end-to-end solutions across relational and non-relational databases.
• Preferred: Master's degree in computer science or a related field.
• Preferred: 8+ years of data engineering experience.
• Preferred: 4+ years of data modeling experience.
• Preferred: 9+ years of application development with proven skill in Python, SQL, Scala or Java.
• Preferred: 5+ years designing, deploying and operating data workloads in at least one public cloud (AWS, Microsoft Azure or Google Cloud).
• Preferred: 5+ years building or supporting distributed data or compute workloads with tools such as EMR, Spark, Glue or Databricks.
• Preferred: 5+ years designing, implementing and operating real-time or streaming data pipelines.
• Preferred: 3+ years working with data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster).
• Preferred: 5+ years working with unstructured or semistructured data in NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB).
• Preferred: 5+ years designing and supporting data warehousing solutions (e.g., Snowflake, Redshift).
• Preferred: 3+ years working in an Agile development environment.
• Preferred: 3+ years developing user-centric reusable data products.

Conditions

This is a remote role, open regardless of location.

Full-time annual base salary is $209,000 to $238,500 for Data Engineer 5 roles, and $229,900 to $262,400 for the McLean, VA location.

Candidates hired into other locations receive the pay range for that location, and the exact salary appears in the offer letter.

Part-time pay is prorated based on the agreed number of regular hours.

Applications will be accepted for at least 5 business days.

The company will consider sponsoring a new qualified applicant for employment authorization for this role.

Agencies may not submit candidates.

The company is an equal opportunity employer, including disability and veteran status, and considers applicants with criminal histories as applicable law requires.

Postings in Canada, the United Kingdom and the Philippines are for separate local entities of the company.

Benefits

• Performance-based incentive pay, which may include cash bonuses and/or long-term incentives, discretionary or non-discretionary depending on the plan.
• A broad package of health, financial and other benefits. Eligibility depends on full or part-time status, exempt or non-exempt status, and management level.