Senior Lead Data Engineer at Capital One collaborating with Agile teams and mentoring developers. Leading full - stack development and driving cloud - based solutions for financial empowerment.
About the role
- Data Engineer optimizing database performance for high throughput and low latency. Collaborating on schema design, tuning clusters, and supporting AWS migration.
Responsibilities
- Analyze and optimize slow or inefficient SQL and NoSQL queries across legacy systems.
- Profile and tune MySQL and Cassandra clusters for high throughput and low latency.
- Work closely with application teams to modernize schema designs and improve access patterns.
- Design database optimization strategies aligned with microservices, distributed systems, and cloud-native architectures.
- Collaborate with architects and DevOps engineers to support database migration plans to AWS.
- Implement observability and metrics around database performance, availability, and errors.
- Contribute to defining the modernization roadmap, including the potential use of cloud-native databases or managed services.
- Ensure security and data governance compliance with PCI DSS and ISO 27001 standards.
Requirements
- 5+ years of hands-on experience as a Database Engineer, DBA, or Performance Engineer.
- Strong experience with MySQL and Cassandra in high-traffic or distributed environments.
- Expertise in query profiling, execution plans, and indexing strategies.
- Strong understanding of database internals, clustering, and replication.
- Comfortable working in Linux environments, with experience troubleshooting at the OS and DB level.
- Familiarity with cloud migration strategies and AWS RDS / Aurora / DynamoDB / OpenSearch is a plus.
- Experience working with large legacy databases and designing incremental modernization plans.
- Knowledge of data security, masking, encryption, and compliance best practices.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Engineer responsible for developing data pipelines and collaborating with US business teams. Working at Beghou Consulting, a life sciences company providing advanced analytics and technology solutions.
Data Solutions Architect designing enterprise - scale Azure and Databricks Lakehouse solutions for clinical trials and life sciences data enabling advanced analytics and compliance.
Data Architect at ADEO ensuring interoperability of IT systems through architecture design and data knowledge diffusion. Collaborating with teams to maintain data integrity and quality standards in an international setup.
Consultant, Data Engineer leading end - to - end data solutions and analytics. Collaborating with clients to improve data strategies and deliver actionable insights.
Big Data Engineer developing applications for Synchrony’s Enterprise Data Lake within an Agile scrum team. Collaborating to deliver high - quality data ingestion and maintain data governance standards.
Junior Data Engineer at Opplane working on data - focused solutions for financial services, collaborating on digital transformation projects.
Data Engineer optimizing data pipelines and cloud solutions for GFT Poland. Involves performance tuning, ETL pipelines, and data model development across multiple locations in Poland.
Junior AI Data Engineer specializing in data - focused solutions for financial services. Collaborating on digital transformation projects across various regions.
Mid Data Engineer handling performance tuning and ETL pipelines at GFT Poland. Design, build, and deploy Cloud data models, while optimizing for visualization use cases.