E-Logic is seeking qualified professionals to support the successful development, implementation, and maintenance of the IRS Enterprise Data Platform (EDP). The EDP is a critical modernization initiative aimed at strengthening the IRS's data infrastructure, improving data accessibility, and enabling data-driven decision-making. These positions are hybrid, with onsite requirements based on agency needs. Please submit the name of the role in your application.

IT Project Manager

Responsibilities:

• Lead end-to-end project management for IT initiatives, from initiation through closure.
• Develop and maintain comprehensive project plans detailing scope, objectives, deliverables, timelines, and resource allocations.
• Guide and motivate cross-functional teams, ensuring effective collaboration and productivity.
• Monitor project performance, track milestones, and proactively manage risks and issues.
• Manage project budgets, ensuring financial responsibility and adherence to cost constraints.
• Communicate regularly with stakeholders, providing clear project updates, reports, and recommendations.
• Ensure compliance with established project management methodologies (PMI, Agile) and best practices.

Required Experience:

• Proven experience managing at least 3 data pipeline development or data management projects.
• Experience with projects of comparable size and scope, ideally within federal government environments.
• Solid understanding of data pipeline architecture, technologies, and lifecycle management.
• Strong leadership, communication, and stakeholder management skills.

Data Engineering Specialist

Responsibilities:

• Design and implement both logical and physical data models tailored for data lake architectures.
• Partner with data architects, analysts, and business stakeholders to translate data requirements into efficient models.
• Apply industry best practices to ensure data quality, consistency, and integrity.
• Optimize data structures for high-performance data retrieval and analytics.
• Contribute to the development of data governance frameworks, standards, and practices.
• Research and recommend modern tools, methodologies, and innovations in data modeling.

Required Experience:

• Demonstrated experience designing and developing data models for data lake environments.
• Experience with projects of similar complexity and scale.
• Deep understanding of data warehousing, data lake architectures, and database design principles.
• Proficiency with data modeling tools (e.g., ER/Studio, ERwin) and languages.
• Familiarity with ETL processes and data integration techniques.

Data Pipeline Developer

Responsibilities:

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data into Databricks.
• Write scalable, efficient code for data ingestion, transformation, and validation processes.
• Implement data quality assurance and validation mechanisms to ensure reliability.
• Monitor data pipelines for performance, troubleshoot issues, and implement optimizations.
• Collaborate with data engineering and analytics teams to meet evolving business requirements.
• Document processes, workflows, and technical specifications.

Required Experience:

• Proven experience developing data pipelines for at least 2 projects involving data loading into Databricks.
• Experience in projects of comparable size and scope.
• Strong coding skills in Python or Scala.
• Expertise in ETL tools, methodologies, and best practices.
• Hands-on experience with Databricks and related cloud data technologies.
• Knowledge of database systems, data warehousing concepts, and distributed computing.

Management Analyst

Responsibilities:

• Conduct in-depth analysis of business processes to identify opportunities for efficiency and improvement.
• Gather, analyze, and document detailed business and functional requirements from diverse stakeholders.
• Develop clear, actionable documentation including requirements specifications, process maps, and use cases.
• Assess potential solutions, provide recommendations, and support decision-making processes.
• Assist in implementing improved workflows, systems, and processes.
• Serve as a liaison between business units and technical teams, facilitating clear communication.

Required Experience:

• Demonstrated experience gathering requirements for at least 2 IT projects related to data pipelines or data warehousing.
• Experience with projects of comparable size and complexity.
• Strong analytical, critical thinking, and problem-solving capabilities.
• Excellent communication skills, both written and verbal.
• Ability to bridge gaps between technical teams and business stakeholders.