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Investment Data Engineer
The Investment Data Engineer will work within a Platforms and Delivery division to maintain and enhance a critical data platform for the Investment Risk Team. The role requires strong data engineering skills, specifically with Snowflake, and involves working onsite in London twice a week.
176. Senior Data Engineer
A Senior Data Engineer at Source Meridian designs, builds, and maintains data ingestion pipelines into a Databricks-based data platform on AWS, using Python and Spark to model data in Delta Lake, collaborating with DBA and analytics teams to ensure reliability and governance.
175. Senior Data Engineer
Senior Data Engineer building and scaling Databricks on AWS data ingestion pipelines for a healthcare client, using Python, Spark, and Delta Lake with medallion architecture.
Sr. IT Data Engineer
Designs and maintains data pipelines and integrations to support internal operations, using SQL, Java, Python, and ETL tools in a fast-paced enterprise environment.
Software Engineer - X Data Engineering
Builds and operates distributed data pipelines processing billions of events daily to power AI-driven insights, using Python, Spark, Kafka, Flink, and SQL in Palo Alto.
Analytics Engineer - X
Build and maintain scalable data pipelines and quantitative models to power AI-driven decision-making using Python, SQL, and distributed systems like Spark.
177. Senior Data Engineer
A Senior Data Engineer role at Source Meridian, responsible for building and scaling data ingestion pipelines into Databricks from various source systems, optimizing Spark workloads, and working with DBA teams on data governance and quality.
Engineering Manager, Data Platform & ML Ops
Lead a team managing Fingerprint’s data warehouse and ML Ops pipeline, ensuring reliable, scalable infrastructure for fraud-detection models and analytics using ClickHouse, DataBricks, and AWS SageMaker.
Senior Data Engineer
Senior Data Engineer at SHEIN applying GenAI/LLM capabilities to data engineering workflows, building production-ready AI solutions for code assistance, metadata discovery, and operational efficiency improvements using Python, SQL, and modern data technologies.
Manager - Analytics
Lead the analytics capability that turns data into meaningful insights and better decisions Shape the future of analytics capability within Kainga Ora Permanent Auckland or Wellington based role, 5 weeks leave and a…
Lead Analytics Engineer
Lead Analytics Engineer responsible for driving monetization metrics and data pipelines, partnering with data scientists and engineering teams, using SQL, Airflow, Tableau, and other data engineering tools to build and maintain analytics solutions.
Sr Engineer, Data Engineering
The Senior Data Engineer will develop and maintain data pipelines, model enterprise data warehouse schemas, and ensure data integrity and security. The role involves collaborating with analytics teams and mentoring staff to support data engineering processes.
Lead Data Engineer
Lead a team building enterprise-scale data pipelines and lakehouse architectures on Databricks or Microsoft Fabric to power analytics and AI for a federal government department.
Head of Marketing Data and Measurement
Company Overview ID.me is the next-generation digital identity wallet that simplifies how individuals securely prove their identity online. Consumers can verify their identity with ID.me once and seamlessly login…
Principal Tech Lead Manager - Data Platform & Reliability Engineering
Lead a team to architect, scale, and maintain ID.me’s high-availability PostgreSQL and Identity Trust Graph databases while enforcing strict SRE practices and regulatory compliance for secure identity verification services.
Account Executive, Enterprise Sales, Federal Practice
Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial…
AI Engineer
Build and integrate AI agents and AI solutions on a bank's AI platform using Python, APIs, and modern cloud platforms, collaborating across product teams and business stakeholders.