5 data pipeline engineer jobs at 3 companies in Wright, FL
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Robotics Data Pipeline Engineer – Multimodal Data
Houston or Pensacola
OnsiteFull Time
M.S. or Ph.D. in a related field; deep Python and PyTorch expertise; experience with force/time-series and terabyte-scale video processing; strong 3D geometry and data augmentation skills.
Python, PyTorch, OpenCV, FFmpeg, Decord, URDF, Ray, Apache Spark, Omniverse, MuJoCo, MANO, SMPL, Open X-Embodiment, DROID, AgiBot World, EgoDex
2mo
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Robotics Data Pipeline Intern
Houston or Pensacola
OnsiteInternship
0+ YOEPursuing BS/MS/PhD in CS, data engineering, ML, robotics. Strong Python with PyTorch; experience with CV/time-series or sensor processing; OpenCV/FFmpeg or MediaPipe; interest in imitation learning and human-to-robot transfer.
Python, PyTorch, OpenCV, FFmpeg, MediaPipe, Ray, Spark
1mo
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Data Engineer
Hurlburt Field, Florida, United States
OnsiteFull Time
1+ YOEMinimum 1 year experience; BS in STEM preferred; experience with SQL/NoSQL, distributed computing, ETL, APIs, cloud (Azure/Google/AWS), and data pipeline/optimization concepts; Secret clearance required.
NoSQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, Pig, Azure, Google, Amazon Web Service (AWS), SQL, Universal Modeling Language (UML), Git, Palantir Envision, MSS
3w
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Data Engineer
Hurlburt Field, Florida, United States
OnsiteFull Time
1+ YOEMinimum 1 year experience, Bachelor's in STEM required (Computer Science or Software Engineering preferred), experience with SQL/NoSQL, distributed systems, ETL/ETL pipelines, CI/CD and cloud; Secret clearance required, Top Secret/SCI preferred.
NoSQL, HDInsight, MongoDB, Cassandra, Neo4j, GraphDB, OrientDB, Spark, Hadoop, Kafka, Hive, Pig, Azure, Google, Amazon Web Service (AWS), SQL, Universal Modeling Language (UML), Git, CI/CD
1mo
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Security Observability Engineer
Destin or Alpharetta or New York City or Atlanta
OnsiteFull Time
Experience migrating, optimizing, and operating log ingestion and observability pipelines; Splunk and SIEM expertise; secure data delivery, data reduction, load balancing, and high-availability for log infrastructure.
Splunk, SIEM