Senior Abinitio Developer - Remote​/Telecommute

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Location:

Reston, VA

Job Type: Contract

• The Sr. Abinitio Developer is responsible for designing, developing, and maintaining enterprise data infrastructure and data engineering solutions.
• This role supports data-driven decision-making by building scalable data pipelines, data models, and analytics-ready systems while ensuring data quality, reliability, and performance.
• The position applies best practices in data integration, modeling, and governance to deliver actionable insights across the organization.

• Strong experience developing and maintaining data infrastructure systems such as data warehouses and data lakes.
• Hands‑on expertise in data extraction, transformation, and loading processes.
• Strong analytical and problem‑solving skills to interpret data and support business decisions.
• Ability to design and implement data models and data collection frameworks.
• Strong organizational and communication skills with the ability to manage multiple priorities.

• Five years of experience in database design and data modeling.
• Hands‑on experience developing and updating ETL or ELT processes using Ab Initio in cloud‑based environments.
• Experience with ETL application development and working with relational and No
  
  SQL databases.
• Additional relevant work experience may be accepted in lieu of a formal degree.

• Develop and maintain data infrastructure systems, including data warehouses, data lakes, and data access interfaces.
• Prepare, manipulate, and integrate data using multiple technologies.
• Interpret data, perform statistical analysis, and produce reports that translate data into actionable insights.
• Provide analytical and data‑driven support for key initiatives and projects.
• Design, manage, and execute data quality control procedures using data from multiple systems.
• Develop and enhance data models by evaluating existing architectures and applying data modeling standards and best practices.
• Create data collection frameworks for structured and unstructured data sources.
• Apply best practices for data auditing, scalability, reliability, and application performance.
• Continuously improve technical knowledge through professional development and industry best practices.

• Proficiency in programming and query languages such as SQL, No
  
  SQL, and Python.
• Expert‑level knowledge of database design, implementation concepts, and data movement techniques.
• Strong understanding of data exchange formats.
• Advanced analytical and troubleshooting skills.
• Strong written and verbal communication skills.

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field.
• Equivalent additional work experience may be considered in place of a formal degree.