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.
About the role
- Senior Data Engineer building reliable data infrastructure for AI-powered health experiences. Collaborating on data pipelines and ensuring data quality in a hybrid work environment.
Responsibilities
- Design and build the data foundation for AI-powered health experiences and decision sciences - Build and own data pipelines across both streaming and batch paradigms, from ingestion to serving.
- Keep the platform reliable and the data trustworthy - Define and track SLAs (Service Level Agreements) and SLOs (Service Level Objectives) for the pipelines you own, and hold yourself accountable to them.
- Deliver with ownership and grit - Take projects from ambiguous requirements to production, working through technical blockers, cross-functional dependencies, and competing priorities without losing momentum.
- Make it easy for teams to own their data - Build tooling for service and application teams that helps them effectively manage their data and data processes.
- Build with compliance and trust at the center - Implement data handling practices that meet HIPAA, GDPR, and CCPA requirements including PII (Personally Identifiable Information) handling, access controls, data retention, and making production data safely available in non-production environments.
- Raise the bar for the team around you - Participate in hiring and mentor junior engineers.
Requirements
- Bachelor’s Degree in Computer Science or related technical degree
- 5+ years of data engineering experience with a proven track record of building and owning reliable production pipelines
- 5+ years of strong proficiency in Python and SQL
- 3+ years of experience in processing and storing large scale data using distributed systems as well as a mastery of database designs and data modeling including star and snowflake schemas.
- 2+ years of experience working with broad spectrum of data stores like PostgreSQL, MySQL, MongoDB, Redis, databricks and Redshift
- 3+ years of experience deploying and operating pipelines in the cloud including CI/CD, monitoring, and incident response
- 3+ years of experience building streaming and batch pipelines using tools such as Spark, Kafka, Flink, and Airflow
- 1+ year experience working with dbt
- 1+ years of experience with AI tools for code generation (cursor, claude code)
- 1+ years of experience with orchestration tools (Airflow, Prefect, or Dagster) including scheduling, retries, alerting, and SLAs.
Benefits
- Inclusive healthcare and benefits: On top of comprehensive medical, dental, and vision coverage, we offer employees and their family members help with gender-affirming care, tools for family and fertility planning, and travel reimbursements if healthcare isn’t available where you live.
- Planning for the future: Start saving for the future with our traditional or Roth 401k retirement plan options which include a 2% company match.
- Modern life stipends: Manage your own learning and development.
- Grow with us through discounted company stock through our ESPP with easy payroll deductions.
Job title
Job type
Experience level
Salary
Degree requirement
Tech skills
Location requirements
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.
Data Engineer II at Dun & Bradstreet collaborating with teams to enhance data quality standards and practices. Driving best - in - class data management across diverse disciplines.
Senior Data Engineer at NVIDIA developing and optimizing database architectures while collaborating across software and hardware teams. Focus on data - driven systems in data center environments for complex networking verification.