Data Engineer (AWS)

TL;DR

Data Engineer (AWS/Python): Building and optimizing data pipelines and infrastructure for large-scale data processing with an accent on scalability, automation, and cloud integration. Focus on designing robust ETL workflows, implementing data governance, and integrating AWS services to support business intelligence.

Location: Washington, DC (TS/SCI clearance required)

Company

hirify.global is a professional services firm providing technical data solutions to government clients.

What you will do

• Design and implement scalable data pipelines and internal process improvements to optimize data delivery.
• Develop and maintain ETL artifacts including schemas, data dictionaries, and transforms.
• Integrate data pipelines with AWS cloud services to extract meaningful insights from raw data.
• Collaborate with stakeholders and product owners to align data infrastructure with business objectives.
• Provide Tier 3 technical support for deployed applications and dataflows.
• Coordinate and document dataflow capabilities and maintain product roadmaps.

Requirements

• Active TS/SCI security clearance is required.
• Bachelor’s degree or equivalent practical experience.
• Expertise in distributed computing frameworks for large-scale data processing.
• Proficiency in Python (pandas, PySpark), NiFi, Airflow, and AWS Lambda.
• Experience with datastores: PostgreSQL, S3, Redshift, MongoDB/DynamoDB, Redis, Elasticsearch/OpenSearch, and SQL.
• Knowledge of Docker, Kubernetes, JMS/SQS, SNS, and Kafka.