Data Engineer III
ENSCO, Inc.•Melbourne, FL
•$72,821 - $131,331
About The Position
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.
Requirements
- 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.
Nice To Haves
- 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
Responsibilities
- Data engineering and organization
- Data science
- Machine learning
- Ingestion, processing, storage, labeling, and analysis of time-series acoustic data
- Enabling machine learning, signal processing, monitoring, and operational analytics applications
Benefits
- Comprehensive benefits package
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
