What are the responsibilities and job description for the Data Engineer position at Amivero?
The Amivero Team
Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.
Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
Special Requirements
We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data systems that power analytics and machine learning initiatives. This role focuses on creating reliable, efficient, and secure data pipelines and architectures that enable high-quality data to flow across the enterprise.
The ideal candidate is deeply experienced in data engineering practices, distributed data processing, and cloud-based data platforms. You are passionate about building resilient data infrastructure, optimizing data workflows, and ensuring data is accessible, trusted, and ready for downstream analytics and operational use.
What Sets You Apart...
All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.
Amivero’s team of IT professionals delivers digital services that elevate the federal government, whether national security or improved government services. Our human-centered, data-driven approach is focused on truly understanding the environment and the challenge, and reimagining with our customer how outcomes can be achieved.
Our team of technologists leverage modern, agile methods to design and develop equitable, accessible, and innovative data and software services that impact hundreds of millions of people.
As a member of the Amivero team you will use your empathy for a customer’s situation, your passion for service, your energy for solutioning, and your bias towards action to bring modernization to very important, mission-critical, and public service government IT systems.
Special Requirements
- US Citizenship required to obtain Public Trust
- Active DHS or USCIS Public Trust clearance preferred
We are seeking a highly skilled Data Engineer to design, build, and maintain scalable data systems that power analytics and machine learning initiatives. This role focuses on creating reliable, efficient, and secure data pipelines and architectures that enable high-quality data to flow across the enterprise.
The ideal candidate is deeply experienced in data engineering practices, distributed data processing, and cloud-based data platforms. You are passionate about building resilient data infrastructure, optimizing data workflows, and ensuring data is accessible, trusted, and ready for downstream analytics and operational use.
What Sets You Apart...
- Experience building and operating high-throughput, production-grade data pipelines
- Strong understanding of data architecture patterns (data lakehouse, batch and streaming pipelines)
- Ability to design systems that prioritize data reliability, scalability, and maintainability
- Experience enabling analytics and ML teams through well-engineered data foundations
- Proactive mindset toward automation, performance optimization, and operational excellence
- Design, develop, and maintain scalable data pipelines and ETL/ELT processes supporting data lakes, warehouses, and analytics platforms
- Build and optimize data ingestion and integration frameworks for structured and unstructured data sources
- Ensure data quality, consistency, and reliability through validation, monitoring, and automation
- Optimize data storage and processing performance using distributed computing technologies (e.g., Spark, Databricks)
- Implement best practices for data security, governance, and access control
- Develop and maintain data models and schemas optimized for analytics and operational use
- Support the deployment and operation of data platforms in cloud environments (AWS or similar)
- Collaborate with data scientists and analysts by providing clean, well-structured, and accessible datasets
- Continuously improve data architecture by evaluating and adopting modern data engineering tools and frameworks
- Provide technical leadership in building and scaling data infrastructure aligned with organizational data strategy
- Bachelor’s degree in Computer Science, Engineering, or a related field
- 5-8 years of experience developing and coding software solutions
- Strong experience with Databricks and cloud-based technologies (AWS preferred)
- Data engineering, ETL/ELT design, and data integration
- Big Data platforms and distributed processing (e.g., Apache Spark)
- Data pipeline development and optimization
- Data quality, governance, and performance tuning
- Proficiency in programming languages such as Python and/or Scala
- AWS Certified Machine Learning - Specialty
- AWS Certified Data Analytics - Specialty (if using AWS)
- Data Science Council of America (DASCA) Certifications
- Databricks Certified Machine Learning Associate
- Databricks Certified Developer for Apache Spark
- Databricks Certified Data Engineer Associate or Professional
- Python or Scala programming certification
All qualified applicants will receive consideration without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status, amnesty, or status as a covered veteran in accordance with applicable federal, state and local laws. Amivero complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities.