
Data Engineer
Posted 11 hours ago

Posted 11 hours ago
This is a fully remote position, open to applicants in United States.
• Create and implement star schema dimensional models in SQL Server for business intelligence and analytics purposes.
• Write and optimize data-operation scripts, which include table creation, indexing, keys, and handling slowly changing dimensions.
• Conduct business analysis and develop ETL code and scripts in accordance with technical specifications and business needs.
• Build application systems adhering to standard system development methodologies for design, programming, backup, and recovery.
• Identify programming approaches, tools, and techniques that align with business requirements.
• Offer subject matter expertise in the development of specifications and plans for data-process development.
• Deploy application code and analytical models using CI/CD tools, while providing support for deployed data applications and models.
• Work directly with clients as part of an agile, multifaceted team.
• Bachelor’s degree in Computer Science, Engineering, IT, or another scientific or quantitative discipline.
• 5 years of experience in designing conceptual, physical, and logical data models utilizing enterprise data modeling tools.
• 5 years of experience in strategic data planning, governance, and adherence to standards.
• 5 years of experience applying enterprise data warehouse modeling constructs and best practices for star schema.
• Practical experience integrating systems with big data/data lake repositories using ETL tools.
• Proficient with Microsoft SQL Server, Amazon Redshift, DBeaver, and Visual Studio.
• Experience in data mining and data warehousing practices.
• Exceptional communication, presentation, and interpersonal skills.
• Ability to articulate clearly with both business and technical stakeholders.
• Capability to obtain Secret Clearance; active Secret Clearance is highly preferred.
• Preferred: Familiarity with AWS Glue, AWS Lambda, Git, and GitHub.
• Preferred: SQL Server or data management certification such as CDMP or MCSA.
• Preferred: Background in the defense healthcare domain.
• Opportunities for bonuses.
• Employer-funded healthcare.
• Access to training and development funds.
• 401k matching.
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