Data Engineer/Analyst maintaining and improving data infrastructure for Braiins. Collaborating with technical and business teams to ensure reliable data flows and insights.
About the role
- Manager, Quality – Business Data Engineer responsible for managing RQA data governance and analytics. Collaborate with teams to enhance data solutions and drive technological advancements.
Responsibilities
- Oversee the management, optimization, and governance of the RQA datalake, ensuring data quality, security, and compliance with internal and external standards.
- Develop, document, and implement best practices for data management.
- Collaborate closely with technical support team to triage, escalate, and resolve issues in the datalake, web applications, and dashboards.
- Provide direction and review to technical support team in implementing solutions aligned with business needs.
- Support the development and enhancement of dashboards, web applications, and digital tools in partnership with the Digital and Technology team aligned with business needs.
- Work collaboratively with system owners and stakeholders outside of RQA to support enterprise Quality data integrity and availability.
- Partner with RQA Data and Analytics and Digital and Technology teams to prepare data infrastructure for AI/ML initiatives, implement advanced analytics, and support model development and operational readiness.
- Drive implementation of AI tools into development, data quality, and maintenance workflows.
- Support execution and enhancement of risk assessment processes.
- Proactively identifies opportunities for improvement within RQA.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field with 5 + years industry experience ; advanced degree preferred.
- Demonstrated expertise in modern data and analytics platforms (e.g., Snowflake, Dataiku DSS).
- Experience in working with large datasets, data visualization tools, and statistical software packages (e.g., SQL, Python, Spotfire, PowerBI).
- Proven experience designing, building, and managing large-scale data infrastructure and analytics pipelines.
- Strong understanding of data governance, data quality, and best practices for data management in regulated industry.
- Demonstrated working knowledge of data science principles, statistical modeling, and AI/ML concepts; able to support and enable advanced analytics initiatives.
- Experience collaborating with cross-functional teams, including business stakeholders and technical experts.
- Excellent analytical, problem-solving, and communication skills.
Benefits
- Health insurance
- Flexible work arrangements
- Professional development opportunities
- Paid time off
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Medior Data Engineer handling Azure migrations for a major urban mobility client. Focused on data pipeline development and ensuring platform reliability with cutting - edge technologies.
Developing ML and computer vision solutions for cutting - edge autonomous vehicle dataset pipeline at Mobileye. Collaborating across teams for data curation and advanced perception algorithms.
Data Migration Lead in a hybrid role managing data migration for a major transformation programme in the media sector. Collaborating with various teams to ensure data integrity and successful migration.
Consultant ML & DataOps at Smile integrating data science projects for major clients. Designing MLOps solutions and enhancing data governance in a collaborative environment.
Data Engineer developing and maintaining data pipelines for Coolbet’s analytical services. Working within an Agile framework to ensure data reliability and efficiency.
API Data Engineer developing innovative data - driven solutions and advancing data architecture for AI Control Tower. Building and integrating APIs and data pipelines to support organizational needs.
Journeyman Data Architect supporting Leidos' enterprise data and analytics program for the Department of War. Collaborating on solutions for data architecture, cloud environments, and governance.
Senior Software Engineer developing backend services and data infrastructure for integrated products at Booz Allen. Collaborating with a small elite team to deliver reliable and scalable services.
AWS Streaming Data Engineer developing software and systems in a fast, agile environment. Utilizing experience with real - time data ingestion and processing systems across distributed environments.