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Senior Data Engineer builds and maintains scalable pipelines for telecom CDRs and real-time data using Kafka, Spark, and Flink, ensuring clean, query-ready datasets for analytics and ML.
About the role This is a hands-on, senior individual-contributor role with a strong passion on building a possible vendor neutral lakehouse. You will own data pipelines end to end and build out the governance and…
Lead the AI and data platform for a live-commerce marketplace, building pipelines, personalization, and automation systems that power buyer experiences, seller tools, and marketing campaigns using Python, ClickHouse, and LLMs.
Builds backend services and APIs for Imply Lumi, a high-performance observability warehouse using Apache Druid, focusing on identity, billing, and scalable data infrastructure.
Build and operate Genesys Cloud’s AI-powered analytics platform, designing scalable services for real-time event processing, storage, and querying using Java, Kafka, Druid/Flink, and AWS.
Build and deploy AI-native applications using LLMs, RAG, and agentic workflows in Java/Spring Boot and React, integrating with enterprise systems and cloud-native platforms.
Design and maintain data infrastructure, build ETL pipelines, and ensure data quality using MySQL and Apache Druid in a remote setting.
Design and build data governance frameworks and executive reporting solutions at Apple, ensuring data integrity, privacy, and security across the company using SQL, Spark, Python, and visualization tools.
Senior Data Engineer builds and maintains cloud-based data pipelines and ETL processes for a banking client using Azure, Kafka, Databricks, and Python.
Build and maintain scalable data pipelines and infrastructure using Databricks, Spark, ClickHouse, and Kafka to power real-time analytics and ML for mobile app monetization.
Design and optimize large-scale data pipelines and real-time analytics platforms using Apache Druid, Kafka, and SQL for a B2B IT outsourcing client.
Design and maintain a cloud-based lakehouse on AWS, building real-time ingestion pipelines with Kafka/Debezium and PySpark, and curating trusted analytics layers for fintech decision-making.
Designs and maintains data infrastructure, builds scalable pipelines, and optimizes databases for a life-sciences software company.
Build and optimize data pipelines using Databricks, Python, Kafka, and Azure Event Hub; implement real-time processing with Apache Druid and Storm for a financial-sector client.
Builds and maintains scalable data products for Roku’s advertising analytics, using big data tools like Spark, Airflow, and Druid to power advertiser insights and internal measurement systems.
Build and own the real-time analytics and entitlement layer for Orb’s usage-based billing platform, ensuring low-latency alerts, balances, and spend controls for enterprise and AI customers.
Build and own the real-time analytics and entitlement layer that powers billing, spend controls, and usage alerts for Orb’s revenue platform, using Python, Kafka, and PostgreSQL.
About Orb: We’re a team that cares deeply about the work, the people we do it with, and the customers we do it for. Everyone at Orb has real ownership over their work, direct access to customers, and a voice in how the…
Builds Orb’s real-time billing analytics and spend-control layer, designing APIs and primitives that let customers query balances, enforce entitlements, and trigger alerts against live usage data.
At Imply, our mission is to empower people and organizations to achieve more with their data. We believe that better insights lead to better decisions, and that the right technology can remove barriers, spark…
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