Graph Data/ ETL Developer

Title: Data/ ETL Developer
Location : McLean, VA
Target Start Date : ASAP
Type: contract
Pay Rate : DOE

We are seeking a Data & ETL Developer to design, build, and maintain scalable data pipelines and models that support analytics, reporting, and advanced data science initiatives. This role works closely with engineering, analytics, and business teams to ensure reliable data access, transformation, and delivery.

Key Responsibilities

Data Engineering & Development

• Develop and maintain scalable data pipelines using Spark (Scala preferred)

• Design and implement efficient data models to support analytics and reporting

• Ensure data quality, integrity, and performance across data systems

• Optimize large-scale data processing workflows

ETL Pipeline Development

• Build and maintain ETL/ELT pipelines for data ingestion, transformation, and delivery

• Implement data access and transformation processes across multiple data sources

• Design efficient data structures to support downstream consumption

• Monitor and troubleshoot pipeline performance and reliability

Development & Collaboration

• Follow established software development lifecycle (SDLC) and best practices

• Collaborate with data scientists, analysts, and stakeholders to support data needs

• Document data flows, models, and pipeline processes

Required Qualifications

• Experience with Apache Spark (Scala preferred)

• Strong understanding of data modeling concepts

• Knowledge of ETL pipeline design and implementation

• Experience with data access, transformation, and data structures

• Familiarity with software development processes and version control

Preferred Qualifications

• Experience with graph data science or graph databases

• Familiarity with orchestration tools such as Dagster

• Exposure to distributed data processing environments

Ideal Candidate

The ideal candidate is detail-oriented, understands scalable data architectures, and enjoys building reliable pipelines that enable data-driven decision-making.

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