Data Scientist & Engineer — Onsite DC, ML & Pipelines

Judge Group, Inc.

Washington (District of Columbia)

On-site

USD 69,000 - 74,000

Full time

3 days ago
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Job summary

Judge Group, Inc. seeks a Data Scientist / Data Engineer to join our Washington, DC data team. This 100% onsite role blends data engineering with advanced analytics to build scalable pipelines and production-ready ML solutions.

The ideal candidate has 5+ years in DS/DE, strong Python and SQL, and hands-on experience with Spark/Databricks, Airflow, and cloud services (Azure/AWS). Public Trust clearance eligibility is required.

Qualifications

  • Bachelor's degree in a quantitative field.
  • 5+ years in a combined Data Scientist and Data Engineer role.
  • Advanced proficiency in Python and strong SQL.
  • Hands-on experience with Apache Spark and/or Databricks.
  • Experience with Apache Airflow and ETL/ELT pipelines.
  • Strong understanding of data warehousing, lakehouse concepts, and scalable data platforms.
  • Experience building, training, and deploying ML models with cloud services.
  • Knowledge of data quality, validation, and governance.
  • Strong analytical and problem-solving skills.
  • Excellent written and verbal communication.

Responsibilities

  • Design, build, and maintain scalable data pipelines.
  • Develop data models, warehouses, and lakehouse architectures.
  • Create reliable ETL/ELT workflows and cloud-based pipelines.
  • Ensure data quality through validation and governance processes.
  • Optimize pipelines for performance and cost efficiency.
  • Build, train, deploy, and monitor ML models.
  • Develop solutions for prediction, classification, and analytics.
  • Perform feature engineering, EDA, and statistical modeling.
  • Implement MLOps including versioning, CI/CD, containerization, and monitoring.
  • Partner with stakeholders to translate requirements into data solutions.
  • Communicate findings to technical and non-technical audiences.
  • Maintain documentation for pipelines and models.
  • Mentor junior team members and promote best practices.
  • Stay current with emerging technologies.

Skills

Python
SQL
Spark/Databricks
Airflow
ETL/ELT
Data Warehousing
Lakehouse
MLOps
Cloud (Azure/AWS)
Communication

Education

Bachelor's degree in Computer Science, Data Science, Engineering

Tools

Databricks
Azure
AWS
MLflow
TensorFlow
PyTorch

Job description

Judge Group, Inc. seeks a Data Scientist / Data Engineer to join our Washington, DC data team. This 100% onsite role blends data engineering with advanced analytics to build scalable pipelines and production-ready ML solutions.

The ideal candidate has 5+ years in DS/DE, strong Python and SQL, and hands-on experience with Spark/Databricks, Airflow, and cloud services (Azure/AWS). Public Trust clearance eligibility is required.

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