ENSCO

Data Engineer III

ENSCO$73K — $131K *
Technical Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 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 with large-scale structured and unstructured datasets
  • Strong proficiency in Python
  • Experience building and maintaining ETL/ELT pipelines
  • Familiarity with cloud platforms (AWS, Azure, Google Cloud)
  • Understanding of time-series data architectures

Responsibilities

  • Handle ingestion, processing, storage, labeling, and analysis of acoustic data
  • Support machine learning, signal processing, and operational analytics applications
  • Manage metadata and annotation workflows for sensor datasets
  • Optimize storage and retrieval performance for time-series data
  • Apply digital signal processing techniques to acoustic datasets
  • Deploy distributed data processing frameworks for signal analysis
  • Ensure adherence to CI/CD practices in workflow management

Benefits

  • Comprehensive benefits package
  • Stimulating and supportive work environment
  • Positive company culture
  • Opportunities for professional growth and advancement
Full Job Description
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.

About ENSCO

ENSCO International Incorporated is a global provider of offshore drilling services to the petroleum industry. The company is headquartered in Dallas, Texas and operates in various locations around the world. ENSCO has a fleet of modern drilling rigs and provides drilling services to oil and gas companies in various offshore locations. The company has a strong focus on safety and environmental responsibility and has received numerous awards for its safety record. ENSCO is committed to providing high-quality services to its clients and has a reputation for excellence in the industry.
Learn more about ENSCO
Size
4,900 employees
Industry
Founded
1969

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