Data Engineer
Anivas Tech LLC
Kettering, MD, United States
3 months ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
7 years minimum
Working hours
Regular working hours
Job source
Tech stack
Java (Programming Language)
Application Programming Interfaces (APIs)
Agile Methodology
Airflow
Amazon Web Services
Microsoft Azure
Cloud Computing
Cyber Security
Information Systems
Data Architecture
Information Engineering
Data Governance
+24 more
Data Integration
Extract Transform Load (ETL)
Dataspaces
Data Systems
Data Warehousing
Database Design
DevOps
Dimensional Modeling
Information Technology Operations
Python (Programming Language)
Meta-Data Management
NoSQL
Scrum Methodology
Cloud Services
DataOps
SQL Databases
Data Streaming
Scripting
Apache Spark
SC Clearance
Information Technology
Data Lineage
Apache Kafka
Data Pipelines
Job description
Anivas Tech is seeking a Data Engineer to support our government agency IT operations. We are looking for a skilled professional with 7+ years of relevant experience who brings strong technical expertise and a commitment to delivering high-quality results in a mission-driven, high-visibility environment. Requirements:
- Design, build, and maintain scalable data pipelines and ETL/ELT processes to support government agency data operations
- Develop and optimize data models, schemas, and storage solutions using modern cloud and on-premise platforms
- Collaborate with stakeholders and solution architects to define data requirements and translate them into technical designs
- Ensure data quality, integrity, and availability by implementing validation, monitoring, and alerting frameworks
- Support integration of disparate data sources, APIs, and third-party systems into a unified data ecosystem
- Maintain data governance practices including cataloging, lineage tracking, and metadata management
- Troubleshoot data pipeline failures and performance issues in production environments
- Document technical designs, data flows, and operational runbooks in accordance with project standards
- Work within Agile/SAFe delivery teams, participating in sprint planning, stand-ups, and retrospectives
- Apply security best practices to protect sensitive government data in compliance with applicable regulations
- US citizen with ability to obtain and maintain a Secret clearance
Requirements
Do you have experience in Technology security practices?, * Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field; 5 additional years of relevant experience accepted in lieu of degree
- 7+ years of hands-on experience in data engineering, including pipeline development and data architecture
- Proficiency in SQL and at least one scripting/programming language (Python, Scala, or Java)
- Experience with data integration tools and platforms (e.g., Apache Spark, Kafka, Airflow, or equivalent)
- Familiarity with cloud platforms (AWS, Azure, or GCP) and cloud-native data services
- Strong understanding of data warehousing concepts, dimensional modeling, and database design
- Strong analytical, problem-solving, written, and oral communication skills
- Ability to work independently and collaboratively to meet deadlines in a fast-paced environment
- Experience working in a government or federal IT environment
- Familiarity with data governance frameworks and compliance requirements (FISMA, FedRAMP)
- Agile, SAFe, or hybrid delivery methodology experience
- Experience with CI/CD pipelines and DevOps practices for data solutions
- Knowledge of NoSQL databases and real-time streaming architectures
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