Business Area:
Engineering
Seniority Level:
Mid-Senior level
At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises.
At Cloudera, our Data Services Pillar is the heart of data innovation. We don’t just work with technology; we build it. Our mission is to empower data practitioners by creating seamless, enterprise-grade experiences for data engineering, warehousing, streaming, operational databases, and AI.
Cloudera is looking for an exceptional and passionate software engineer to join the Data Warehouse engineering team focused on building query federation capabilities. We are looking for engineers with experience in architecting and developing parallel and distributed SQL query engines to help drive innovation in Cloudera Data Platform (CDP). There is ample scope of collaboration and contribution to open source. This is an exciting opportunity to work on products that handle complex SQL query workloads on public or private clouds as part of CDP.
What you'll do
Work on new query federation initiatives as part of the Data Warehouse team.
Collaborate with and contribute to the open source community.
Have an exciting opportunity to work on products that handle complex SQL query workloads on public or private clouds as part of Cloudera Data Platform (CDP).
Design and develop features for parallel and distributed query engines to help drive innovation in CDP.
Focus on query optimization, performance and scalability of SQL queries.
Lead cross-functional engagements with peer teams including Product Managers and mentor junior engineers on the team.
Requirements
Bachelor’s degree in Computer Science or equivalent, and 7+ years of experience; OR Master’s degree and 5+ years of experience; OR PhD and 3+ years of experience.
Clean coding habits, attention to detail, and focus on quality
Hands-on programmer with strong data structures and algorithms skills. Java experience desired.
Good understanding of database internals, query processing and SQL query optimization
Strong oral and written communication skills
Ability to work effectively on cross-functional projects
You may also have:
Experience with a federation SQL engine such as Trino or PrestoDB is a big plus
Experience with any of Apache Hive, Impala, Calcite open source projects or an RDBMS
Experience with the Hadoop ecosystem, file formats like Parquet, ORC and table formats like Apache Iceberg
Experience with public cloud infrastructures such as Microsoft Azure, Amazon Web Services and Google Cloud Platform
Recognized contributions to open source projects
This role is not eligible for immigration sponsorship.
Why this role matters:
This is your opportunity to build cloud-native solutions that are deployable anywhere whether in massive clusters on any cloud provider or in private data centers. You’ll work with cutting-edge technologies like Trino, Spark, Airflow, and advanced AI inferencing systems to shape the future of analytics. Your code will directly influence how data engineers, analysts, and developers worldwide find value in their data.
We believe in the power of open source. You’ll collaborate with project committers, contributing upstream to keep technologies like Apache Hive and Impala evolving. You’ll harden these engines for rock-solid security, optimize them for peak performance, and make them effortlessly run across all environments. Join us and help build the trusted, cloud-native platform that powers insights for the most data-intensive companies on the planet.
The expected base salary range for this role in
Washington and California is $184,000-$230,000
The salary will vary depending on your job-related skills, experience and location