Data Engineer 5

Capital One Group; New York, McLean, Cambridge (NY, VA, MA); On-site; USD 251,000 - 286,000; Full time

Job summary

Capital One is hiring a Data Engineer 5 to join a fast-paced, data-driven transformation across our Enterprise Data Tech group. You will craft cloud-first data solutions, design scalable pipelines, and mentor teammates while collaborating with product managers and engineers to deliver impactful, ML-enabled data experiences for customers.

The role spans New York, Cambridge, and McLean locations, emphasizing a strong data engineering foundation, distributed systems, and modern tools like

Qualifications

• Bachelor's Degree or higher in Computer Science or a related quantitative field.
• At least 6 years of application development experience.
• At least 4 years on distributed data systems.
• At least 4 years of SQL experience.
• At least 4 years programming in Python, Java, or Scala.
• At least 4 years designing and developing data pipelines.
• At least 2 years data modeling and end-to-end data solutions with relational and non-relational databases.

Responsibilities

• Collaborate with Agile teams to design, develop, test, and support data solutions.
• Influence a team of developers, data analysts and data scientists with ML and lakehouse knowledge.
• Use Python, Spark and cloud data warehousing (Databricks, Snowflake) skills.
• Mentor peers and stay current with data trends and technologies.
• Work with product managers to deliver cloud-first data solutions.
• Design and deliver cloud data solutions with minimal supervision.
• Enforce common data engineering design patterns for quality and reuse.
• Communicate data outcomes clearly to stakeholders.
• Architect scalable, resilient data pipelines with performance in mind.
• Lead large-scale data initiatives end-to-end and evaluate platform choices like Snowflake vs Databricks.

Skills

SQL

Python

Java

Scala

Spark

Data pipelines

Data modeling

Education

Bachelor's Degree or higher in Computer Science or related field

Tools

Snowflake

Databricks

EMR / Spark

SQL databases

Job description

Data Engineer 5### Data Engineer 5Apply: New York, NY: McLean, VA: Cambridge, MA: Full time: Posted Today: R1004701Data Engineer 5Do 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 **a Data Engineer 5** who is passionate about marrying data with emerging technologies. In this role, you’ll be at the forefront of driving a major transformation across Capital One. Enterprise Data Tech (EDT) is responsible for managing data technology, platforms, and experiences across Capital One. Our core mission is to make data easy to find, use, understand, govern, and protect throughout the complex end to end data lifecycle. This foundation is built on key platforms that manage Capital One’s Data Pipeline, including data storage, and access. Looking ahead, our imperatives are centered on evolving our capabilities for the AI world and strategically expanding Capital One’s data platforms. **What You’ll Do:*** Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies* Influence a team of developers, data analysts and data scientists with deep experience in machine learning, distributed microservices, lakehouse architecture, and full-stack systems* Utilize programming languages such as Python and Spark, along with open-source relational and NoSQL databases, and cloud-based data warehousing platforms including Databricks and Snowflake* Share your passion for staying on top of trends in data, experimenting with and learning new technologies, participating in internal and external technology communities, and mentoring other members of the data community* Collaborate with product managers and software engineers to deliver robust cloud-first data solutions that drive powerful experiences to help millions of Americans achieve financial empowerment* Independently design, build and deliver world-class cloud data solutions and applications with little or no support from supervisors or managers* Architect and enforce common data engineering design patterns to ensure code quality, maintainability, and reusability across data platforms and pipelines* Serve as an ambassador for the data engineering team, communicating technical concepts and data outcomes clearly to both internal and external stakeholders to drive alignment and shared understanding* Design and build data pipelines and platforms with a focus on scalability, resilience, and operational efficiency, ensuring robust performance under increasing data volume and business demands* Serve as a force-multiplier for the team, balancing deep, hands-on technical contribution and innovation with mentoring and elevating the skills of peers and junior engineers* Lead and execute large-scale, transformative data initiatives from end to end, independently driving critical architectural decisions and evaluating platform choices, such as Snowflake versus Databricks, based on technical and business requirements **Basic Qualifications:*** Bachelor's Degree or higher in Computer Science or a related quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Engineering)* At least 6 years of experience in application development (Internship experience does not apply)* At least 4 years of experience in distributed data* At least 4 years of experience with SQL* At least 4 years of experience programming with at least one of the following languages: Python, Java, or Scala* At least 4 years of experience designing and developing data pipelines* At least 2 years of experience in data modeling and designing end-to-end data solutions using both relational and non-relational database systems **Preferred Qualifications:*** Master’s Degree in Computer Science or a related field* 8+ years of experience in data engineering* 5+ years of hands-on experience designing, deploying and operating data workloads in AWS* 5+ years of experience building or supporting distributed data or compute workloads using tools such as EMR, Spark, Glue, or Databricks* 5+ years of experience designing, implementing, and operating real-time or streaming data pipelines* 5+ years of experience working with unstructured or semistructured data using NoSQL databases (e.g., MongoDB, Cassandra, DynamoDB)* 5+ years of experience designing and supporting data warehousing solutions (e.g., Snowflake, Redshift)* 4+ years of data modeling experience* 3+ years of experience working in an Agile development environment* 3+ years of experience developing user-centric reusable data products* 3+ years of experience working on data observability (e.g., Monte Carlo, Splunk) or data orchestration tools (e.g., Airflow, Dagster) ***Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.***The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.Cambridge, MA: $229,900 - $262,400 for Data Engineer 5McLean, VA: $229,900 - $262,400 for Data Engineer 5New York, NY: $250,800 - $286,200 for Data Engineer 5Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate’s offer letter.This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at the Capital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City’s Fair Chance Act; Philadelphia’s Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at [e-mail]. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.