Data Scientist

Overview

Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph.

Labor Category:
Data Scientist

Position Title:

Data Scientist
Position Level: Level 2 – Expert
Salary:
Up to $ per year
Core

Hours:

9am to 4pm

Location:

McLean, VA

Develop and maintain production data pipelines and ETL/ELT workflows laborate with stakeholders to understand data requirements, assess feasibility, and design solutions with minimal oversight. Identify and resolve data quality issues, pipeline failures, and performance bottlenecks. Apply strong problem-solving and debugging skills to ensure reliable data processing.

• Mandatory Requirements

• Developmental (0-2 years’ experience)
• Full Performance (3-5 years’ experience)
• Senior (6-10 years’ experience)
• Expert (11-15 years’ experience)
• SME (16+ years’ experience)
• Demonstrated experience building production data pipelines and ETL/ELT workflows at scale.
• Demonstrated experience with Apache Spark and PySpark for distributed data processing.
• Demonstrated experience with advanced Python programming skills including data manipulation libraries (Pandas, Num Py) and data engineering best practices.
• Demonstrated experience understanding data security, privacy, governance, and compliance principles.
• Demonstrated experience with workflow orchestration tools such as Step Functions and Airflow.
• Demonstrated experience with containerization such as Docker or Podman, and deploying data applications in cloud environments.
• Demonstrated experience with AWS services (in particular S3, Lambda, and Step Functions).
• Demonstrated experience with Postgre
  
  SQL and MySQL in production environments, including performance tuning and schema design.
• Demonstrated experience with SQL and query optimization for complex analytical workloads.
• Demonstrated experience with version control (Git) and CI/CD practices for data pipelines.
• Demonstrated experience working with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight.
• Demonstrated experience with strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks.

• Optional Requirements

• Demonstrated experience with data lakehouse architectures using Apache Iceberg.
• Demonstrated experience configuring, deploying, and integrating data platform components:
  Apache Ranger (access control and data governance), Trino (distributed SQL query engine), Data catalogs (Unity Catalog OSS, Apache Polaris, etc.), Apache Superset (data visualization and dashboarding)
• Demonstrated experience with Bash scripting for automation and data processing tasks.
• Demonstrated experience with Infrastructure as Code (Terraform or Cloud Formation) for data infrastructure.
• Demonstrated experience with tracking data lineage and associated tooling such as Open Lineage.
• Demonstrated experience with Java.
• Demonstrated experience with data quality frameworks, testing methodologies, and validation strategies.
• Demonstrated experience or background with large-scale data migrations or platform modernization efforts.
• Demonstrated experience integrating AI/ML services and models (translation, OCR, speech-to-text, NLP, language detection, topic modeling), LLMs, and RAG (retrieval-augmented generation) pipelines.
• Demonstrated experience with geospatial data processing (H3, PostGIS, or similar).
• Demonstrated experience Contributing to data engineering documentation, best practices, or design patterns.
• Demonstrated experience with No
  
  SQL databases (Dynamo
  
  DB, etc.).
• Demonstrated experience with excellent written and verbal communication skills with both technical and non-technical audiences.

B4

Corp is an EEO and e-Verify employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or national origin. Applicants may voluntarily submit identification forms as part of a broader employment process.