Data Engineer at Capital One building cloud-based solutions to empower financial experiences for millions. Collaborating with Agile teams and utilizing big data technologies to solve complex business problems.
Responsibilities
Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
Work with a team of developers with deep experience in machine learning, distributed microservices, and full stack systems
Utilize programming languages like Java, Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Redshift and Snowflake
Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
Collaborate with digital product managers, and deliver robust cloud-based solutions that drive powerful experiences to help millions of Americans achieve financial empowerment
Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
Requirements
Bachelor’s Degree
At least 3 years of experience in application development
At least 1 year of experience in big data technologies
5+ years of experience in application development including Python, SQL, Scala, or Java
2+ years of experience with a public cloud (AWS, Microsoft Azure, Google Cloud)
3+ years of experience with Distributed data/computing tools (MapReduce, Hadoop, Hive, EMR, Kafka, Spark, Gurobi, or MySQL)
2+ years experience working on real-time data and streaming applications
2+ years of experience with NoSQL implementation (Mongo, Cassandra)
2+ years of data warehousing experience (Redshift or Snowflake)
3+ years of experience with UNIX/Linux including basic commands and shell scripting
2+ years of experience with Agile engineering practices
Benefits
health, financial and other benefits that support your total well-being
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.
IT Data Engineering Co‑Op at BlueRock Therapeutics supports development of scientific data systems. Collaboration on data workflows and foundational AWS data engineering tasks.
Data Engineer I building and operationalizing complex data solutions for Travelers' analytics using Databricks. Collaborating within teams to educate end users and support data governance.
Data Engineer shaping modern data architecture to drive golf’s digital transformation. Collaborating with teams to enhance data pipelines and insights for customer engagement and revenue growth.
Staff Data Engineer overseeing complex data systems for CITY Furniture. Responsible for architecting and optimizing data ecosystems in a hybrid work environment.
Data Engineer strengthening data platform team at Samba TV to improve data analytics and reporting capabilities. Building on AWS, Databricks, BigQuery, and Snowflake technology.
Data Engineer focusing on secure ETL/ELT data pipelines and compliance in healthcare. Designing scalable ingestion frameworks and ensuring alignment with federal standards.
Data Migration Engineer at Capgemini delivering migration solutions for Guidewire Claim Center. Collaborating on cloud data migrations and validating processes in a sustainable tech environment.