Data Engineer IIINew

Data Engineer III Melbourne, Florida, United States 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. 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, Rabbit

MQ, 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 $72,820.80 - $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.