Data Engineer

RiVidium Inc. is seeking a Senior Data Engineer to support data-driven decision-making by collecting, transforming, and delivering high-quality data. This role is responsible for designing, building, securing, and optimizing scalable data processing systems with a strong emphasis on performance, reliability, security, and compliance.

Key Responsibilities

• Design, build, and maintain scalable data pipelines for structured and unstructured data

• Develop, optimize, and manage ETL/ELT processes and data ingestion platforms, including cloud-based solutions

• Build and maintain data warehouse environments and support data modeling efforts

• Ensure data quality, integrity, security, and compliance across all data systems

• Collaborate with data scientists, data architects, and stakeholders to deliver data solutions

• Support and operationalize machine learning models and analytics workflows

• Develop and maintain APIs for data access and integration

• Monitor and troubleshoot data infrastructure to ensure performance and reliability

• Implement automation using metadata management and modern data engineering practices

• Provide ad hoc data analysis and support self-service data access for stakeholders

• Design and maintain reporting and dashboarding infrastructure

• Promote best practices in data engineering, governance, and data lifecycle management

• Support data tagging, metadata management, and enterprise data governance initiatives

• Assist in developing data-related policies, documentation, and system requirements

• Research and recommend improvements to modernize data architecture, including cloud adoption

Minimum Qualifications

• Bachelor?s or Master?s degree in Computer Science, Data Science, Information Systems, or a related quantitative field

• Equivalent work experience may be considered in lieu of a degree

• Minimum of ten (10) years of IT experience, including at least six (6) years in data engineering or related disciplines

• Strong experience designing and optimizing data pipelines and architectures

• Expertise in ETL/ELT processes, data integration, and data warehousing concepts

• Proficiency in SQL and programming languages such as Python, Java, R, or Scala

• Experience working with large, complex, and heterogeneous datasets

• Strong understanding of data modeling, schema design, and metadata management

• Experience with cloud platforms (AWS, Azure, GCP) and hybrid environments

• Knowledge of DevOps/DataOps practices, including CI/CD for data pipelines

• Familiarity with message queuing, stream processing, and real-time data integration technologies

• Strong analytical, problem-solving, and communication skills

Core Competencies:

• Ability to design and optimize scalable, high-performance data systems

• Strong collaboration skills across technical and business teams

• Expertise in data governance, data quality, and data security practices

• Ability to translate business requirements into technical data solutions

• Adaptability in working with evolving technologies and complex environments

Clearance Requirement:

• TS/SCI clearance required at contract start

Preferred Qualifications

• Experience supporting Department of Defense (DoD), Department of Navy (DoN), or law enforcement environments

• Familiarity with federal data governance and compliance requirements

• Experience with data visualization tools such as Tableau, Power BI, or Qlik

• Cloud certifications (AWS, Azure, or GCP)

• Experience with NoSQL, Hadoop, or big data ecosystems

• Experience collaborating with data science teams to operationalize machine learning models