Data Engineer IV

This is a fully remote position, open to applicants in United States.

📋 Description

• Design, automate, and enhance infrastructure and deployment solutions for software development, testing, and release processes.

• Implement automation tools and frameworks that facilitate CI/CD.

• Create innovative solutions to intricate technical challenges.

• Ensure the system's security, reliability, and efficiency.

• Collaborate with software developers, engineers, stakeholders, business owners, and external clients.

• Build, maintain, optimize, and improve data architecture, warehouses, pipelines, platforms, and distributed data systems.

• Collect, normalize, compile, clean, structure, process, analyze, and visualize complex datasets.

• Develop, assess, and test scalable data solutions.

• Establish practices for data protection, quality, delivery, governance, metadata, and security.

• Investigate data quality issues, conduct root-cause analysis, resolve errors, and design process enhancements.

• Integrate tools, algorithms, and techniques into current data systems.

• Determine software and hardware architecture requirements and guide decisions regarding performance and scalability.

• Generate operational and specialized reports, presenting complex findings to stakeholders.

• Provide technical support for program strategies and initiatives.

• Meet contractual deliverables and fulfill assigned contract obligations.

• Track planned hours, engage in growth initiatives, complete personal PDP, attend company meetings, and perform other assigned responsibilities.

⛳️ Requirements

• Active Secret clearance.

• Bachelor’s degree with 8–10 years of experience.

• Advanced proficiency in designing, building, and maintaining data warehouses, pipelines, and large-scale distributed data systems.

• Strong expertise with modern database technologies, ETL/ELT frameworks, and big data tools.

• Capability to solve intricate technical problems and develop innovative, scalable data solutions.

• Experience with data governance, quality management, metadata management, and security best practices.

• Proficiency in Python, SQL, or Scala.

• Strong analytical and problem-solving abilities.

• Ability to evaluate data from various systems and identify optimization opportunities.

• Capability to collaborate with cross-functional teams and convey technical concepts to non-technical audiences.

• Experience with cloud data platforms like AWS, Azure, or GCP.

• Experience with containerization and modern DevOps practices.

🏝️ Benefits

• Competitive compensation.

• Benefits and opportunities for learning and development.

• Health and wellness programs.

• Income protection.

• Paid leave.

• Retirement and savings benefits.

• Flexible work arrangements that support work-life balance.