4 big data developer jobs at 3 companies in Hawaii

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Data Engineer
Honolulu, Hawaii, United States
$120k-$179k/yr OnsiteFull Time
KBR
KBRNYSE: KBR: Provides engineering, technology, and professional services for global markets.
10+ YOESenior-level data engineering role requiring DoD data analytics, big data, and software development experience.
Python, R, Java, Scala, Spark, Hadoop, Hive, Trino, Neo4J, JanusGraph, HBase, SQL, VMware, Polybase, Kubernetes, Docker
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Data Engineer
Honolulu, Hawaii, United States
$120k-$180k/yr OnsiteFull Time
KBR
KBRNYSE: KBR: Provides engineering, technology, and professional services for global markets.
5+ YOEFive+ years in big data analytics with Python/R/SQL; experience with data pipelines, visualization, and DoD data is strongly preferred.
Python, R, C++, C#, Java, Scala, Jupyter, RMarkdown, Dash, Spark, Hadoop, Hive, Trino, Neo4J, JanusGraph, HBase, MongoDB, VMware, Polybase, SQL, RShiny, pyShiny
2mo
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Software Engineer (L3) Data Substrate
United States or Colorado or Hawaii or Illinois or Maryland or Massachusetts or Minnesota or New Jersey or New York or Vermont or District of Columbia or Washington or California or San Francisco or Oakland or San Jose or Washington
$139k-$204k/yr RemoteFull Time
Twilio
TwilioNYSE: TWLO: Cloud communications platform for building customer engagement applications.
5+ YOEBachelor's or Master's in CS/Engineering, 5+ years software development, proficiency in Python/Java/Scala, experience with big data tools (Kafka, Spark, Hive, Hudi, Presto, Airflow) and AWS services, strong problem-solving and communication skills.
Kafka, Spark, Hive, Hudi, Presto, Airflow, AWS Lakeformation, Glue, Athena, Python, Java, Scala
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Software Engineer 2
Annapolis Junction or Maryland or Virginia or Colorado or Texas or Utah or Alaska or Hawaii or United States
$64-$120/hr OnsiteFull Time
Wyetech
Wyetech: Provides professional engineering services for government and commercial sectors.
14+ YOEUS citizen with active position-appropriate clearance (TS/SCI + polygraph), 14+ years SWE experience, Bachelor’s in Computer Science or equivalent, strong big-data skills (Spark, MapReduce, SQL/NoSQL, Pandas/NumPy/SciPy).
Spark, MapReduce, SQL, NoSQL, Pandas, NumPy, SciPy