Product Owner driving ERP data migration initiatives for BioNTech’s global landscape. Leading effective data management and ensuring compliance with regulatory standards in a fast - paced environment.
About the role
- Director of Data Engineering leading a team to deliver scalable data solutions at The Hartford. Collaborating across business units for innovative data-driven strategies and machine learning integration.
Responsibilities
- Actively lead and develop a team of data engineers to deliver and maintain reusable and sustainable data assets and production pipelines that assist the functional business units in meeting their strategic objectives
- Collaborate with Data Scientists and Product Owners to advise approaches to business opportunities
- Develop the design and vision for data pipelines and testing frameworks, both batch and real-time to meet business needs while balancing maintainability, reliability, security, and scalability.
- Provide guidance on and independently navigate data warehouses, understand data architectures, and join disparate data sources to ensure quality and appropriateness of data solutions.
- Lead the use and development of GitHub best practices for version control, documentation, and code collaboration throughout the data science lifecycle and ensure solutions align with best practices
- Contribute to and execute a multi-year roadmap to build and remediate enterprise-grade data assets leveraging cloud-based target state technology and architecture
- Drive disciplined innovation by balancing a relentless focus on delivering results and customer adoption with out-of-the-box thinking and a continuous improvement mindset
- Coordinate activities with cross-functional IT unit stakeholders (e.g., database, operations, telecommunications, technical support, etc.)
Requirements
- 8+ years of relevant experience recommended
- Bachelor’s degree in Computer Science, Engineering, IT, MIS, or a related discipline
- Experience in managing Data Engineering teams in an Agile environment
- Experience designing and delivering scalable data engineering solutions that integrate GenAI capabilities and agentic AI systems
- Expertise in Python and SQL
- Expertise in ingesting data from a variety of structures including relational databases, Hadoop/Spark, cloud data sources, XML, JSON
- Expertise in ETL concerning metadata management and data validation
- Expertise in Unix and Git
- Expertise in Automation tools (Autosys, Cron, Airflow, etc.)
- Experience with AWS Services (i.e. S3, EMR, etc.) or GCP
- Experience with Cloud data warehouses, automation, and data pipelines (i.e. Snowflake, Redshift) a plus
- Able to communicate effectively with both technical and non-technical teams
- Able to translate complex technical topics into business solutions and strategies as well as turn business requirements into a technical solution
- Experience with leading project execution and driving change to core business processes through the innovative use of quantitative techniques
- Candidates must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Benefits
- Bonuses
- Short-term or annual bonuses
- Long-term incentives
- On-the-spot recognition
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
Lead Data Engineer overseeing data operations and analytics engineering teams for OneOncology. Focused on operational excellence in data platform and model reliability for cancer care improvement.
Senior AWS Software Data Engineer at Boeing focusing on AWS Data services to support digital analytics capabilities. Collaborating with cross - functional teams to design, develop, and maintain software data solutions.
Senior Data Engineer designing and improving software for business capabilities at Barclays. Collaborating with teams to build a data and intelligence platform for Equity Derivatives.
Senior AI & Data Engineer developing and implementing AI solutions in collaboration with clients and teams. Working on projects involving generative AI, predictive analytics, and data mastery.
Consultant driving IA business growth in Deloitte's Artificial Intelligence & Data team. Delivering innovative solutions using data analytics and automation technologies.
Data Engineer responsible for managing data architecture and pipelines at Snappi, a neobank. Collaborating with teams to enable data processing and analysis in innovative banking solutions.
Data Engineer at Destinus developing the data platform to support production and analytics needs. Involves migrating Excel sources to Lakehouse and integrating ERP systems in a hybrid role.
Senior Data Engineer developing solutions within the Global Specialty portfolio at an insurance company. Engaging with diverse business partners to ensure high quality data reporting.