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Data Engineer III

5 hours, 57 minutes ago
United States
Full-time
Mid Level
Data Engineer
Software Development
Apache Spark AWS Azure CI/CD CloudFormation Docker GCP Git GitHub GitLab Jenkins Kafka Kubernetes Machine Learning MLOps MQTT Python RabbitMQ SQL Terraform
Apply Now
ENSCO, Inc.

ENSCO, Inc.

ENSCO, Inc. is a privately held engineering and technology company founded in 1969 and headquartered in Vienna, Virginia. With around 750 employees, ENSCO provides advanced engineering, science, and technology solutions, focusing on mission-critical and safety-oriented services for the aerospace and defense sectors. The company operates with an annual revenue between $100 million and $500 million. ENSCO offers a wide range of services, including advanced engineering, avionics systems engineering, technology integration, research and development, and consulting. Their expertise supports government agencies and commercial clients in areas such as aerospace, defense, national security, and surface transportation. ENSCO is known for delivering custom-engineered systems, safety-certified avionics components, and integrated technology platforms designed for high reliability and performance in demanding environments. The company maintains a global presence with field offices across the United States and partnerships internationally.

information technology & services
501-1000
Founded 1969
View All Jobs 4

Description

  • Support ingestion, processing, storage, labeling, and analysis of time-series acoustic data.
  • Build and maintain data engineering pipelines and scientific data systems.
  • Organize and manage large-scale structured and unstructured datasets.
  • Develop automation for data engineering, data preparation, and workflow support.
  • Apply machine learning and data science methods to acoustic sensor data.
  • Work with streaming and operational analytics use cases for sensor data.
  • Manage metadata and annotation workflows for acoustic and sensor datasets.
  • Support data storage and retrieval for high-volume time-series data.
  • Collaborate on systems that enable signal processing and monitoring applications.

Requirements

  • Bachelor’s degree in Computer Science, Data Engineering, Electrical Engineering, Applied Mathematics, Physics, or a 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 or non-relational databases.
  • Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with distributed data processing frameworks such as Spark, Dask, or Ray.
  • Understanding of time-series data architectures and streaming pipelines.
  • Experience using version control and CI/CD practices with tools such as Git, GitLab, GitHub, or Jenkins.
  • Knowledge of containerization and orchestration technologies such as Docker and Kubernetes.
  • Experience handling high-volume sensor, waveform, or acoustic datasets.
  • Familiarity with digital signal processing concepts including FFTs, spectrograms, filtering, sampling theory, and feature extraction.
  • Experience managing metadata and annotation workflows for sensor datasets.
  • Ability to obtain and maintain a U.S. Security Clearance; U.S. citizenship required.
  • Master’s degree in a related technical field is preferred.
  • Experience with machine learning data pipelines and MLOps workflows is preferred.
  • Experience deploying real-time or near-real-time streaming systems is preferred.
  • Familiarity with event-driven architectures and message brokers such as Kafka, RabbitMQ, or MQTT is preferred.
  • Experience with HPC environments or GPU-enabled workflows is preferred.
  • Background in underwater acoustics, sonar, bioacoustics, seismic data, radar, or RF signal processing is preferred.
  • Experience with audio analytics or classification systems is preferred.
  • Familiarity with common acoustic data formats and standards is preferred.
  • Experience developing automated labeling or feature extraction workflows for acoustic signals is preferred.
  • Experience designing data lakes and large-scale archival systems is preferred.
  • Familiarity with Parquet, Zarr, HDF5, NetCDF, or similar scientific data formats is preferred.
  • Experience optimizing storage and retrieval performance for time-series data is preferred.
  • Experience implementing security controls for sensitive data environments is preferred.
  • Familiarity with infrastructure-as-code tools such as Terraform or CloudFormation is preferred.
  • Experience supporting production operational systems with high availability requirements is preferred.

Benefits

  • Salary range of $73,923.20 to $131,331.20 USD.
  • Comprehensive benefits package.
  • Positive working environment.
  • Competitive salary.
  • Supportive environment designed to help employees thrive.
  • Regular full-time employment.
  • No required certifications.
  • No drug screen required.

Interested in this position?

Apply directly on the company website

Apply Now

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