You will lead the design, development, and implementation of data-centric solutions to drive actionable insights and enhance decision-making processes. You will collaborate with cross-functional teams to architect scalable and efficient data pipelines, optimize data storage and retrieval systems, and ensure data quality and integrity throughout the data lifecycle.

You will be responsible for executing mission-critical systems and data services that ingest and analyze blockchain transaction activity at petabyte scale, and work to build a safer financial system for billions of people by building reliable data services and developing complex ETL pipelines that transform and process petabytes of structured and unstructured data in real-time.

Join StackAdapt's growing backend engineering team as a Senior Data Engineer and help build a new data engineering initiative to solve a hard and complex big data problem, leveraging new technologies. You will build first and third-party data integrations with external data sources and architect scalable low-latency backend systems and big data pipelines. You will also promote software development best-practices and conduct code reviews.

Improve data processing pipelines from performance, cost and correctness standpoints. Contribute to the development of the new data platform. Collaborate with platform and ML teams to create ETL pipelines that efficiently deliver clean and trustworthy data. Design and optimize data models based on business and engineering needs.

Unlock offline & real-time access to trillions of data points for our ML and Data Science teams by managing, expanding, and optimizing our feature store that enables feature engineering, multi-TB scale training jobs, and offline / real-time inferencing. Support PB scale data operations on the feature store using Apache Spark, Spark Structured Streaming, Kafka, and Ray. Partner with other teams and business stakeholders to deliver ML and AI initiatives.

Ocrolus is seeking a Lead Data Analyst to work with company data and help roll out our new streaming data & self-serve analytics platform. You will design and implement data architecture solutions, create and maintain data pipelines, build and optimize OLTP & OLAP dashboards, and lead a team of data analysts.

As a Staff Data Engineer, you will be responsible for maintaining and operating the data platform that caters to machine learning workflows, analytics and powers some of the products offered to Apollo customers. You'll develop and maintain scalable data pipelines and build new integrations to support continuing increases in data volume and complexity. You will also implement automated monitoring, alerting, self-healing features while building the consumption pipelines.

Help lead the growing backend engineering team. Architect scalable low-latency backend systems and data pipelines. Lead and mentor a team of talented engineers within the backend distributed systems team. Promote software development best-practices and conduct rigorous code reviews. Rigorously identify and solve technical challenges.

Perform development activities within a data engineering team, guiding and training Data Engineer I, while collaborating with various teams to develop data pipelines and enhancements. Extract, clean, and load data, build data pipelines using SQL, Kafka, and other technologies. Investigate and document new data sets as well as triage incoming bugs and incidents.

We are seeking a skilled and experienced Software Engineer for our growing Data Platform team. You will be responsible for designing, developing and maintaining our data infrastructure, including data pipelines and data warehouses. This role will play a pivotal part in driving our data strategy, enabling advanced analytics, and supporting Generative AI and Machine Learning operations at scale.