Data Engineer
New
I
INflow FederalDefense data
Listing location: Arlington, VAFull-TimeMiddle
Salary70,000 - 90,000 USD per year
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Job Details
- Experience
- Minimum 5 years of experience in data engineering, integration, or analytics enablement
- Required Skills
- PostgreSQLPythonSQLETLRESTful APIs
Requirements
- Hold a bachelor’s degree in Computer Science, Information Systems, or a related technical field, or an equivalent combination of education, technical training, or work/military experience.
- Have a minimum of 5 years of experience in data engineering, integration, or analytics enablement.
- Have experience building and optimizing data pipelines in enterprise or federal environments.
- Demonstrate proficiency with Python, SQL, and ETL frameworks such as Apache NiFi, Talend, or AWS Glue.
- Have experience with cloud data services, preferably AWS GovCloud, including RDS, S3, Lambda, Glue, and Redshift.
- Know database management systems including PostgreSQL, SQL Server, DynamoDB, or MongoDB.
- Be familiar with RESTful API integration and JSON, XML, and CSV data exchange standards.
- Understand DoD data security and compliance standards, including encryption, RMF, and STIG adherence.
- Have experience developing data validation, profiling, and transformation scripts.
- Be familiar with Agile software development and DevSecOps delivery frameworks.
- Hold an active DoD Secret clearance.
Responsibilities
- Design, implement, and maintain data pipelines and ETL processes for mission data ingestion, transformation, and validation.
- Develop and optimize data models and schemas across relational and non-relational databases.
- Collaborate with system architects, integration developers, and data analysts to maintain data consistency, security, and integrity.
- Migrate and synchronize data between legacy systems, applications, and cloud platforms.
- Build and sustain scalable data infrastructure using AWS services including Glue, Lambda, S3, RDS, Redshift, and Kinesis.
- Integrate data from APIs, streaming sources, and file-based systems into repositories or data lakes.
- Automate data workflows using infrastructure-as-code and CI/CD principles.
- Monitor and troubleshoot pipeline performance and operational reliability.
- Implement encryption, masking, and access controls in line with DoD cybersecurity policies and RMF requirements.
- Maintain data dictionaries, lineage, metadata repositories, and technical specifications.
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