Data Engineer

Anivas Tech LLC

Upper Marlboro, MD, United States

4 days ago

Apply on www.juju.com

Prepare application

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

www.juju.com

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Agile Methodology Airflow Amazon Web Services Microsoft Azure Cloud Computing Information Systems Data Architecture Information Engineering Data Governance Data Integration

+23 more

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

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