Data Scientist - Cloud Analytics & ETL (TS/SCI)

GRVTY; North Dakota; On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Health plan

Health Savings Account

Paid time off

Parental leave

401k company match

Training & development

Award programs

Company events

Job summary

GRVTY is seeking a Data Scientist to join one of our top projects in McLean, VA, working in a fast-paced Agile environment. You will build and optimize data pipelines, process large forensic images, and enrich metadata for analysts.

The role requires TS/SCI + Poly clearance (applicable to this customer) and hands-on cloud-based deployments. You will collaborate with multi-disciplinary teams, leverage Spark, Python, SQL, and AWS to deliver secure, scalable data solutions, and participate in

Qualifications

• 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, NumPy) 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 PostgreSQL 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.

Responsibilities

• Automate processing of large forensic images and build scalable data pipelines.
• Extract and enrich metadata, presenting results to analysts in meaningful formats.
• Collaborate on cloud-based solutions using a mix of COTS/GOTS tools and external integrations.

Skills

ETL pipelines

Spark

Python

Data governance

Airflow

Step Functions

Docker

AWS

SQL databases

PostgreSQL

MySQL

Git CI/CD

Stakeholder mgmt

Troubleshooting

Tools

Airflow

Kubernetes

PostgreSQL

MySQL

S3

Lambda

Git

CI/CD

Docker

Job description

GRVTY is seeking a Data Scientist to join one of our top projects in McLean, VA, working in a fast-paced Agile environment. You will build and optimize data pipelines, process large forensic images, and enrich metadata for analysts.

The role requires TS/SCI + Poly clearance (applicable to this customer) and hands-on cloud-based deployments. You will collaborate with multi-disciplinary teams, leverage Spark, Python, SQL, and AWS to deliver secure, scalable data solutions, and participate in