Senior Data Engineer — Real-Time Pipelines & Cloud

Naval Systems, Inc.

Tampa (FL)

Vor Ort

USD 110.000 - 140.000

Vollzeit

14 Tage+

Eine vollständige Bewerbung in einer Minute

Maßgeschneiderter Lebenslauf und Anschreiben – versandbereit.

Schaffe es an den ATS-Filtern vorbei

Benefits dieser Stelle

Medical Insurance
Dental Insurance
Vision Insurance
401k with company match
Paid time off

Zusammenfassung

Naval Systems, Inc. is seeking a Data Engineer in Tampa, onsite at MacDill AFB. The role focuses on building a high-throughput data pipeline that brings together logistics data from systems like GCSS-Army, LMP, and DRRS into a centralized data lake.

Real-time streaming with Kafka and batch processing with NiFi/Airflow are required. The ideal candidate will have 5+ years of experience, a Bachelor's degree, and hands-on expertise in AWS/Azure, Python, SQL/NoSQL, Spark, and Kafka, with a TS-level

Qualifikationen

  • 5+ years of data engineering experience.
  • Proficiency in AWS/Azure, Python, SQL/NoSQL, Spark, Kafka.
  • Experience designing high-throughput data pipelines.

Aufgaben

  • Design and implement a scalable data pipeline architecture.
  • Integrate structured and unstructured data from logistics systems into a centralized data lake.
  • Enable real-time streaming via Kafka and batch processing via NiFi/Airflow.
  • Implement data governance with data lineage tracking and audit trails.
  • Ensure data security with encryption at rest and in transit.

Kenntnisse

AWS
Azure
Python
SQL/NoSQL
Spark
Kafka

Ausbildung

Bachelor's Degree

Tools

Apache NiFi
Apache Airflow

Jobbeschreibung

Naval Systems, Inc. is seeking a Data Engineer in Tampa, onsite at MacDill AFB. The role focuses on building a high-throughput data pipeline that brings together logistics data from systems like GCSS-Army, LMP, and DRRS into a centralized data lake.

Real-time streaming with Kafka and batch processing with NiFi/Airflow are required. The ideal candidate will have 5+ years of experience, a Bachelor's degree, and hands-on expertise in AWS/Azure, Python, SQL/NoSQL, Spark, and Kafka, with a TS-level

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