Data Engineer - Capital One Software (Remote)

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Job Overview

The Data Engineer at Capital One Software will be responsible for designing, building, and maintaining robust data pipelines that facilitate the efficient processing and analysis of large volumes of data. This role involves collaboration with cross-functional teams to ensure the data infrastructure meets the strategic needs of the organization. The Data Engineer will leverage advanced data technologies and methodologies to optimize data flow and guarantee data integrity, ultimately supporting data-driven decision making across various business units.

Job Responsibilities

• Design, implement, and maintain scalable and efficient data pipelines to process diverse datasets.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Ensure data quality and integrity by establishing robust data validation processes and troubleshooting data issues.
• Optimize data storage and retrieval processes for improved performance and cost-effectiveness.
• Stay abreast of industry trends and emerging technologies to continuously improve data engineering practices.
• Document data architectures, engineering processes, and best practices to facilitate knowledge sharing within the team.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field.
• Proven experience working with data engineering and data warehousing technologies.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with SQL and NoSQL databases, including but not limited to, AWS Redshift, Google BigQuery, or Apache Hadoop.
• Familiarity with data ingestion tools like Apache Kafka, Apache NiFi, or similar.
• Strong analytical skills, attention to detail, and the ability to solve complex data problems.
• Excellent communication skills and the ability to work in a collaborative team environment.

Technologies & Tools

In this role, the Data Engineer will utilize a variety of technologies and tools, including cloud platforms such as AWS and Azure, big data frameworks like Apache Spark and Kafka, and database management systems like PostgreSQL and MongoDB. Familiarity with data visualization tools such as Tableau or Power BI may also be beneficial. The selected candidate will engage with modern DevOps practices to streamline deployment and integration workflows.

Ideal Candidates

The ideal candidate for the Data Engineer position at Capital One Software will demonstrate a strong technical foundation combined with a proactive approach to problem-solving. Candidates should possess excellent communication skills to effectively convey complex technical concepts to non-technical stakeholders. A collaborative mindset, coupled with a passion for leveraging data to drive business outcomes, is essential. Furthermore, adaptability to rapidly changing technologies and a thirst for continuous learning will distinguish successful candidates in this dynamic environment.