„Capital One“ yra finansinių paslaugų ir finansinių technologijų įmonė, siūlanti kredito korteles, paskolas automobiliams, bankininkystės ir taupymo produktus. Jos veikloje finansinė patirtis derinama su technologijomis ir skaitmeniniais įrankiais, kad klientams būtų lengviau valdyti savo pinigus. Įmonės karjeros srityje daugiausia dėmesio skiriama į klientus orientuotų sprendimų kūrimui įvairioje ir įtraukioje darbo aplinkoje.
Senior Data Engineer, Python and AWS
Build secure, scalable data platforms and pipelines with Python and AWS at Capital One. Design cloud solutions and data architectures serving millions of customers.
Aprašymas
- Work across Agile teams to design, develop, test, launch, and support technical solutions.
- Guide developers, analysts, and data scientists working with machine learning, distributed microservices, lakehouse architecture, and full-stack systems.
- Build with Python, Spark, open-source relational and NoSQL databases, Databricks, and Snowflake.
- Track data trends, try new technologies, contribute to technology communities, and mentor colleagues in the data community.
- Partner with product managers and software engineers to deliver cloud-first data solutions.
- Independently design, build, and deliver cloud data solutions and applications.
- Establish and uphold data engineering patterns that promote code quality, maintainability, and reuse.
- Explain technical concepts and data outcomes to internal and external stakeholders.
- Create scalable, resilient, and efficient data pipelines and platforms.
- Apply data security standards, including encryption and granular access controls, to support privacy compliance.
Reikalavimai
- Hold a bachelor's degree or higher in computer science or a related quantitative field, such as statistics, economics, operations research, analytics, mathematics, or engineering.
- Have at least 4 years of application development experience; internships do not count.
- Have at least 2 years of experience with distributed data.
- Have at least 2 years of SQL experience.
- Have at least 2 years of experience with Python, Java, or Scala.
- Have at least 2 years of experience designing and developing data pipelines.
- Have at least 1 year of experience in data modeling and designing end-to-end solutions across relational and non-relational databases.
- New applicants are not eligible for employment authorization sponsorship or immigration-related support.
- Preferred: 7 or more years of application development experience, with proficiency in Python, SQL, Scala, or Java.
- Preferred: 4 or more years of hands-on experience designing, deploying, and operating data workloads in AWS, Microsoft Azure, or Google Cloud.
- Preferred: 4 or more years building or supporting distributed data or compute workloads with EMR, Spark, Glue, or Databricks.
- Preferred: 4 or more years designing, implementing, and operating real-time or streaming data pipelines.
- Preferred: 2 or more years working with data observability or orchestration tools.
- Preferred: 4 or more years working with unstructured or semistructured data in NoSQL databases.
- Preferred: 4 or more years designing and supporting data warehouses.
- Preferred: 2 or more years working in an Agile development environment.
- Preferred: 2 or more years developing reusable, user-focused data products.
Privalumai
- Performance-based incentive compensation, potentially including cash bonuses and long-term incentives.
- A competitive range of health, financial, and other benefits to support overall well-being.
- Reasonable accommodations are available for applicants who need them.