Data Engineer
Description:
Job Description
Job Title: Data Engineer
Location: Remote
Clearance: U.S. Citizenship Required; Ability to Obtain Public Trust Clearance
Position Type: Contractor
Salary: $160,000-$170,0000
Position Overview
We are seeking a Data Engineer to support a federal agency. The Data Engineer will design, build, and maintain secure, high-performance data pipelines that integrate diverse systems into the agency’s Integrated Data Environment. This role emphasizes expertise in ETL orchestration, cloud-native architectures, and metadata governance to enable enterprise-scale analytics and AI. The position offers the opportunity to work with modern platforms such as Databricks, Apache Spark, Enlighten BDP, and Collibra, directly contributing to the agency’s digital modernization, compliance readiness, and mission support.
Key Responsibilities
Data Pipeline Development
Build and orchestrate ETL/ETI workflows using Apache Spark, Airflow, Kafka, and AWS Glue.
Develop pipelines in Databricks to process both batch and streaming data.
Translate mission requirements into optimized SQL queries and reusable data structures.
Identify data gaps, design test cases, and perform data quality assessments to ensure reliable pipelines.
Architecture & Governance
Implement lakehouse architectures using Enlighten BDP and Delta Lake for secure, ACID-compliant storage.
Manage metadata, data tagging, and lineage through Collibra to ensure governance and interoperability.
Support the identification and maintenance of authoritative and trusted data sources across the enterprise.
Cloud & DevOps Integration
Develop and maintain CI/CD pipelines using GitHub or GitLab for automated deployment.
Integrate and secure APIs for scalable data exchange across platforms.
Support A&A compliance activities, including eMASS security assessments, POA&M tracking, and adherence to FedRAMP and FISMA standards.
Collaboration & Support
Partner with Data Scientists and Automation/AI Engineers to operationalize AI/ML models within production pipelines.
Leverage Jupyter Notebooks and Anaconda for prototyping and collaborative development.
Provide technical documentation, data dictionaries, and reproducible workflows.
Contribute to stakeholder deliverables including reports, dashboards, and strategic briefings, with visualization support using Qlik where applicable.
Required Qualifications
Bachelor’s degree in Computer Science, Data Engineering, or related field.
Minimum of 7 years of experience in data engineering, ETL/ETI processes, or big data environments.
Proficiency with SQL, Python, and Spark-based frameworks.
Experience with Databricks, Hadoop, Kafka, Airflow, or AWS Glue.
Familiarity with Git-based version control and CI/CD practices.
Preferred Qualifications
Certifications such as AWS Data Engineer Associate, AWS Certified Data Analytics, or Microsoft Certified: Azure Data Engineer Associate.
Knowledge of Collibra and Enlighten BDP environments.
Experience supporting federal data governance, security compliance, and ATO readiness.
Company Description
World Services, LLC is a Service-Disabled Veteran-Owned Small Business (SDVOSB), headquartered in Alexandria, Virginia. We offer a wide variety of IT services to support enterprises at every level. These include Management Consulting, Cloud Architecture, Software Development, Agile Implementation, Data Science and Analytics, Systems Engineering, Augmented Reality, and Cyber Security services. World Services commitment to a quality delivery of technology and services is backed by the ISO 9000 certified and CMMI Level 3 in Services and Development to ensure a quality framework of policies, tools, and procedures. This is one of the factors that allow our company as a ISO certified and CMMI Level 3 rated small business to deliver consistent, scalable solutions to the Federal, State and Local Government, healthcare, and commercial clients. Our quality processes ensure our customers receive shorter lead time, delivery reliability, and consistent, high-quality services and products.
Fully remote