Google Rf Engineer Jobs in Florida (NOW HIRING)

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