Senior Data Engineer optimizing and industrializing data pipelines for AI products, ensuring data quality and performance across the lifecycle. Collaboration with cross - functional teams is crucial for this role.
About the role
- Senior Data Engineer at Air Methods leading data-driven solutions and mentoring team members. Responsible for designing and improving data architecture and analytics to create impactful business insights.
Responsibilities
- Develop and improve the current data architecture, emphasizing data security, data quality and timeliness, scalability, and extensibility
- Develop and implement complex and efficient data pipelines/solutions to transform raw data sources into powerful, reliable components of our data platform and business insights
- Deploy and use various data and big data technologies and run pilots to design low latency data architectures at scale
- Implement and simplify self-service data query and analysis capabilities of the data platform
- Establish and maintain standards and guidelines for design and development, tuning, deployment, and maintenance of information and advanced data analytics
- Meet with subject matter experts in different areas of the business, be able to quickly learn the concepts and business language relevant to their line of business and develop an understanding of how their data supports their business processes
- Actively mentor and lead knowledge sharing sessions, code, and design reviews
- Build conceptual and logical data models for stakeholders and management
- Actively lead knowledge sharing sessions, code, and design reviews
- Support the data platform infrastructure and implement solutions to ensure continuous improvement in platform stability
- Collaborate with business analysts, data scientists, product owners, software development engineers, and other teams to develop, implement, and validate KPIs, statistical analyses, data profiling, prediction, forecasting, clustering, and machine learning algorithms.
Requirements
- Bachelor’s degree (BS/BA) from four-year college or university in Information Computer Science or related field, and eight+ years’ related experience and/or training; or equivalent combination of education and experience
- 10+ years in Data Engineering or related field
- 5+ years working in a cloud computing environment, Azure preferred
- Extensive experience in building scalable data platforms in a cloud data platform, Snowflake preferred
- Extensive experience gathering data from multiple heterogeneous data sources, including databases, various file formats, and REST and SOAP APIs
- Hands-on experience with Azure technologies, such as SQL and NoSQL databases, Azure DevOps, Azure Data Factory, Databricks, and Azure Analytics Services desired
- Strong experience with Data Visualization Tools (Power BI preferred)
- Strong experience in an Agile Scrum environment, with work estimation and providing input to managers on resource and risk planning.
Benefits
- For more information on our industry-leading benefits, please visit our benefits page here.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Senior Data Engineer supporting critical banking insights at Smile. Driving data solutions and reporting in a collaborative environment across Brussels' financial sector.
Data Engineer I responsible for supporting AI solutions in Consumer applications at Bank of America. Involved in Hadoop ecosystem, big data technologies, and ensuring system stability.
Senior Data Architect defining comprehensive data strategy and architecture for AI. Delivering organization’s data vision and ensuring governance and technical oversight of enterprise data architecture.
Data Engineer at Booz Allen utilizing data to impact critical missions like fraud detection and cancer research. Collaborating with analysts and developers on advanced technology solutions.
Technical Product Manager for Data Engineering at Betclic. Owning product roadmaps, driving data infrastructure evolution, and ensuring alignment across engineering teams.
Senior Data Engineer maturing strategic data assets and delivering business analytics in a regulated financial environment. Collaborating with stakeholders to advance business data strategy on cloud platforms.
Staff Data Engineer leading scalable data solutions for analytics and reporting at Asurion. Designing data pipelines and ensuring data quality across cloud platforms.
Lead Architect at Travelers shaping enterprise database and data platform solutions. Collaborating across technology and business units to drive digital transformation and modernization efforts.
Senior Data Engineer at Porto Bank responsible for developing robust data architecture and ensuring data quality across teams. Collaborating with various data solutions for effective data management.