Data Engineer IV

SGS Consulting; Washington (District of Columbia); On-site; USD 110,000 - 170,000; Full time

Job summary

SGS Consulting is seeking a diligent Data Engineer / ML Engineer in Washington, DC to design, build, and maintain scalable data-processing pipelines for multimedia and sensor data. You will translate stakeholder requirements into robust technical solutions and collaborate with researchers to productionize prototypes.

You will ensure data quality, governance, and baseline validation, using Python, SQL, and PyTorch workflows.

Qualifications

• Bachelor’s degree in a relevant technical field with 3+ years of industry experience in machine learning or data engineering.
• Experience designing scalable data-processing pipelines for multimedia and sensor data.
• Ability to translate stakeholder requirements into robust data solutions and novel approaches.

Responsibilities

• Design, develop, and maintain scalable data-processing pipelines for multimedia and sensor data.
• Translate stakeholder requirements into practical technical solutions.
• Collaborate with ML researchers to productionize research prototypes.
• Ensure data governance, security, and standards compliance.

Skills

Python

SQL

Data cleaning

Anomaly detection

ML training basics

Multimodal data

Audio basics

Education

Bachelors in CS/Data Science

3+ years ML or data engineering

Tools

Dataset management systems

PyTorch

Training frameworks

Job description

Job Responsibilities

Design, develop, and maintain scalable data-processing pipelines for large volumes of multimedia (audio, video) and sensor data (e.g., IMU), ensuring reliability and reproducibility. Gather and interpret processing requirements from stakeholders, translating them into practical technical solutions and devising novel approaches where needed. Perform diverse data-processing operations, from mathematical transformations and filtering to feature extraction, synchronization, and inference through ML models. Interface with various internal tooling such as dataset management systems and training frameworks to prepare raw data for machine learning, including validation, transformation, and quality assurance. Collaborate with machine learning researchers to integrate research prototypes into production pipelines. Ensure compliance with data governance, security, and relevant standards.

Skills

Strong knowledge of Python in the context of data engineering and data processing (SQL, data cleaning, anomaly detection). Working understanding of ML training – specifically how data quality impacts ML training outcomes from PyTorch workflows. Knowledge of multimodal data sets (Audio/Video, Opti track, multi-Camera/Sensor). Beginner knowledge of audio (DSP, acoustics).

Education/Experience

Bachelor’s degree in a relevant technical field (e.g., Computer Science, Data Science) with 3+ years of industry experience in machine learning or data engineering; or equivalent combination of education and experience.