Senior Data Engineer supporting AI - enabled financial compliance initiative with data pipelines and ingestion processes. Collaborating with diverse teams in a mission - critical regulated environment.
About the role
- Data Engineer designing and building scalable ETL/ELT pipelines for enterprise-grade analytics solutions. Collaborating with product teams to deliver high-quality, secure, and discoverable data.
Responsibilities
- Join a team of builders shaping enterprise-grade data products and platforms that power analytics, customer experiences, and operational insights at scale.
- Design, build, and operate reliable batch and streaming data pipelines.
- Architect and implement scalable ETL/ELT pipelines and services using modern data platforms and best practices.
- Build streaming and micro-batch data flows, including schema evolution, late/out-of-order events handling, and exactly-once delivery semantics.
- Model data for analytics and ML using layered “bronze/silver/gold” patterns.
- Embed observability (logging, metrics, tracing), data quality checks, and cost/performance optimization into everything you ship.
- Automate testing and deployments with CI/CD.
- Collaborate with domain SMEs and data product owners to define requirements, acceptance criteria, and success metrics.
- Operate what you build: participate in on-call/incident response rotations and drive RCA and preventative engineering.
Requirements
- Bachelor's in Computer Science, Engineering, or equivalent experience will be considered in lieu of degree
- 5+ years building data pipelines at scale with a modern data stack
- Strong proficiency in Python and SQL, plus performance tuning of both
- Hands-on experience with distributed compute (e.g., Apache Spark) and lakehouse/warehouse paradigms
- Data modeling for analytics (dimensional/medallion), data contracts, and schema management
- CI/CD (Git-based workflows) and infrastructure-as-code (e.g., Terraform) in a cloud environment
- Practical knowledge of data security, privacy, and access control concepts.
Benefits
- From day one, we're looking out for your well-being–at work and at home–so you can focus on realizing your ambitions.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Architect leading the definition and construction of cloud data architecture for Kyndryl. Participating in significant technological modernization initiatives, focusing on Google Cloud Platform.
Senior Data Engineer driving data intelligence requirements and scalable data solutions for a global consulting firm. Collaborating across functions to enhance Microsoft architecture and analytics capabilities.
Experienced AI Engineer designing and building production - grade agentic AI systems using generative AI and large language models. Collaborating with data engineers, data scientists in a tech - driven company.
Intermediate Data Engineer designing and building data pipelines for travel industry data management. Collaborating across teams to ensure reliable data for analytics and reporting.
Data Engineer managing and organizing datasets for AI models at Walaris, developing AI - driven autonomous systems for defense and security applications.
Data Engineer designing and maintaining data pipelines at Black Semiconductor. Collaborating with process, equipment, and IT teams to support manufacturing analytics and decision - making.
Junior Data Engineer role focusing on Business Intelligence and Big Data at Avanade. Collaborating on data analysis and SQL queries in a supportive learning environment.
GCP Data Engineer designing and developing data processing modules for Ki, an algorithmic insurance carrier. Working closely with multiple teams to optimize data pipelines and reporting.
Data Engineer at Securian Financial optimizing scalable data pipelines for AI and advanced analytics. Collaborating with teams to deliver secure and accessible data solutions.