Data Engineer III

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.

• 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

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.