Data Engineer III

Reposted Yesterday
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Melbourne, FL, USA
In-Office
74K-131K Annually
Mid level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Transportation • Cybersecurity
The Role
The Data Engineer III will manage data engineering tasks related to acoustic sensor data, focusing on data ingestion, storage, processing, and analysis to support machine learning applications.
Summary Generated by Built In

For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide.

ENSCO prides itself in creating and applying advanced technologies for mission success. We provide systems engineering, integration, and advanced technology services to transform the future safety, security, and resiliency of critical missions on the ground, in the air, in space, and in the information systems that connect these domains.

Learn more about ENSCO.

Position Description

ENSCO is seeking a motivated and skilled Data Scientist/Engineer to join our Machine Learning Data team within Seismic and Acoustics. This role is responsible for data engineering and organization, data science, and machine learning, with a specific focus on acoustic sensor data.

This role supports ingestion, processing, storage, labeling, and analysis of time-series acoustic data enabling machine learning, signal processing, monitoring, and operational analytics applications.

Qualifications Required

• Bachelor’s degree in Computer Science, Data Engineering, Electrical Engineering, Applied Mathematics, Physics, or related technical field
• 3+ years of experience in data engineering, software engineering, or scientific data systems
• Experience working with large-scale structured and unstructured datasets
• Strong proficiency in Python for data engineering and automation
• Experience building and maintaining ETL/ELT pipelines
• Experience with SQL and relational/non-relational databases
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
• Experience with distributed data processing frameworks (Spark, Dask, Ray, etc.)
• Understanding of time-series data architectures and streaming pipelines
• Experience using version control and CI/CD practices (Git, GitLab, GitHub, Jenkins, etc.)
• Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
• Experience handling high-volume sensor, waveform, or acoustic datasets
• Familiarity with digital signal processing concepts including:
  • FFTs
  • spectrograms
  • filtering
  • sampling theory
  • feature extraction
• Experience managing metadata and annotation workflows for sensor datasets

• Ability to obtain and maintain a US Security Clearance, for which you must be a US Citizen.

Qualifications Desired

• Master’s degree in a related technical field
• Experience with machine learning data pipelines and MLOps workflows
• Experience deploying real-time or near-real-time streaming systems
• Familiarity with event-driven architectures and message brokers (Kafka, RabbitMQ, MQTT)
• Experience with HPC environments or GPU-enabled workflows
• Background in underwater acoustics, sonar, bioacoustics, seismic data, radar, or RF signal processing
• Experience with audio analytics or classification systems
• Familiarity with common acoustic data formats and standards
• Experience developing automated labeling or feature extraction workflows for acoustic signals
• Experience designing data lakes and large-scale archival systems
• Familiarity with Parquet, Zarr, HDF5, NetCDF, or similar scientific data formats
• Experience optimizing storage and retrieval performance for time-series data
• Experience implementing security controls for sensitive data environments
• Familiarity with infrastructure-as-code tools (Terraform, CloudFormation)
• Experience supporting production operational systems with high availability requirements

Required Certifications: None
US Citizenship Required: Yes
Security Clearance Required: Ability to Obtain
Employment Type: Regular Full-time
Background Check Type: 7 Year Pre-Employment
Drug Screen Required: None
Position Contingent Upon Contract Award: Yes


Salary Range
$73,923.20$131,331.20 USD

REAL ID Requirement

This position may require the ability to access to U.S. federal facilities. In accordance with the Department of Homeland Security’s enforcement of the REAL ID Act, as of May 7, 2025, individuals must present a REAL ID-compliant form of identification or an acceptable alternative to gain entry. For a list of acceptable forms of identification, please click here.

Benefits

At ENSCO, a positive working environment and a competitive salary are only part of the reason for choosing a career here. We offer a comprehensive benefits package that creates a stimulating and supportive environment where you can thrive - visit ensco.com/careers/benefits to learn more.

Export Control and Licensing

This position may involve access to technology or technical data that is controlled under U.S. export control laws and regulations and the release of which to a non US person may require an export license from the U.S. Government.

Privacy

Your data privacy is important to ENSCO. Please click here to view our privacy policy. California residents can click here to view your California privacy rights.

EEO Statement

ENSCO, Inc. and its wholly owned U.S. subsidiaries are Equal Opportunity Employers– veterans, disability

Skills Required

  • Bachelor's degree in Computer Science, Data Engineering, Electrical Engineering, Applied Mathematics, Physics, or related technical field
  • 3+ years of experience in data engineering, software engineering, or scientific data systems
  • Strong proficiency in Python for data engineering and automation
  • Experience building and maintaining ETL/ELT pipelines
  • Experience with SQL and relational/non-relational databases
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud
  • Experience with distributed data processing frameworks (Spark, Dask, Ray, etc.)
  • Understanding of time-series data architectures and streaming pipelines
  • Experience using version control and CI/CD practices (Git, GitLab, GitHub, Jenkins, etc.)
  • Knowledge of containerization and orchestration technologies (Docker, Kubernetes)
  • Ability to obtain and maintain a US Security Clearance
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The Company
HQ: Endicott, NY
767 Employees
Year Founded: 1969

What We Do

ENSCO, Inc., and its wholly owned subsidiaries, represent a more than $190+ million international technology enterprise with 750+ employees headquartered in the Washington, D.C., area. For more than 50 years, ENSCO has been providing leading-edge engineering, science and advanced technology solutions to governments and private industries worldwide. ENSCO operates in the aerospace, national security, and surface transportation sectors. ENSCO serves customers in cutting-edge, mission-critical environments where safety, security, reliability, and resilience are of paramount importance. ENSCO field offices and subsidiaries, representatives and partnerships are located throughout the United States and around the world.

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