PromotedHiringCafe
Founding Machine Learning / AI Search Engineer
Cupertino, CA, US
$160k-$310k/yr On-SiteFull Time
Build the ML and AI search behind HiringCafe — ranking, recommenders, retrieval, and LLM agents that surface jobs people would never find on their own.
Python, PyTorch, Elasticsearch, LLMs
5d
Save
Mark Applied
Hide
Senior Data Engineer - Hadoop/Spark/OCP/Big Data
Pittsburgh or Strongsville or Denver or Phoenix or Birmingham or Dallas
$50k-$186k/yr OnsiteFull Time
5+ YOEDesign and maintain scalable data pipelines with Spark/SQL; containerize workloads; optimize Spark performance; CI/CD and data governance experience; 5+ years industry experience.
Hadoop, Spark, SQL, Docker, Kubernetes, OCP, S3, ADLS, Apache Iceberg, Jenkins, GitHub, Bitbucket, Azure DevOps
2mo
Save
Mark Applied
Hide
Data Engineer Senior - Data Products Organization (Cloudera Hadoop)
Farmers Branch or Strongsville or Birmingham or Pittsburgh or Dallas
$65k-$172k/yr OnsiteFull Time
5+ YOESenior Data Engineer with Hadoop/Spark, Python, and data integration expertise; lead data engineering workstreams; strong communication; multiple US locations.
Spark, PySpark, Cloudera Hadoop, Hive, HQL, Impala, Beeline, HDFS, Linux, Iceberg, Kafka, CA7 orchestration
1mo
Save
Mark Applied
Hide
Software Engineer Lead - Data Product Organization (Cloudera Hadoop, Neo4j, Spark/PySpark)
Pittsburgh or Strongsville or Denver or Phoenix or Birmingham or Dallas
$55k-$138k/yr OnsiteFull Time
3+ YOEExperience with Cloudera Hadoop, Neo4j, Spark/PySpark, HDFS/Hive/Impala, Iceburg and streaming; strong communication and leadership; 3+ years relevant experience; Bachelor\u0002s degree typical.
Cloudera Hadoop, Neo4j, Spark, PySpark, HDFS, HQL, Hive, Impala, Beeline, Linux, Apache Kafka, Iceburg
1mo
Save
Mark Applied
Hide
Director of Data Engineering
Chicago or Beachwood
OnsiteFull Time
8+ YOEBachelor's degree, 8+ years progressive data engineering experience with hands-on Databricks/Spark and PostgreSQL; experience leading technical teams, using AI-assisted tooling, and implementing data engineering standards.
Databricks/Spark, PostgreSQL, Power BI, Qlik, Tableau, SQL