Data Engineer, BI Developer

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

📋 Description

• Design, develop, and sustain scalable data pipelines for both structured and unstructured enterprise data.

• Create SQL scripts, stored procedures, and ETL workflows to facilitate data migration and synchronization.

• Oversee, diagnose, and optimize data integration processes.

• Engage in Analysis of Alternatives to assess enterprise BI architecture solutions.

• Create and manage data warehouse schemas, data marts, and dimensional models.

• Work alongside database administrators to ensure data integrity, enhance performance, and manage indexing and partitioning.

• Develop, publish, and maintain interactive dashboards and paginated reports utilizing Power BI, Tableau, or Qlik.

• Convert business requirements into intuitive visualizations that clearly convey trends, KPIs, and anomalies.

• Construct and sustain BI data models using DAX or MDX.

• Implement automated data validation and quality assurance checks.

• Ensure that dashboards, reports, and data sources meet Section 508 and WCAG accessibility standards.

• Enforce row-level security, data masking, and access controls.

• Collaborate with software developers, database administrators, and business analysts within an Agile framework to deliver scalable, secure, and compliant data products.

⛳️ Requirements

• Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical discipline; equivalent professional experience may also be taken into account.

• At least 5+ years of professional experience in data engineering, BI development, or database development roles.

• 3+ years of practical experience in designing and implementing ETL/ELT pipelines and dimensional data models.

• 3+ years of experience in creating enterprise-grade dashboards and reports using tools such as Power BI or Tableau.

• Advanced proficiency in SQL, including the ability to write complex queries, views, and stored procedures.

• Strong programming expertise in Python, Scala, or C#.

• Comprehensive knowledge of data warehousing, ETL methodologies, and data architecture frameworks.

• Familiarity with SDLC and Agile/Scrum methodologies.

• Exceptional analytical, problem-solving, and critical thinking abilities.

• Strong communication skills to articulate complex data concepts to non-technical stakeholders.

• Active DoD 8570.01-M / DoD 8140 IAT Level II certification or higher, or a commitment to obtain it.

• U.S. citizenship is required.

• A Public Trust or favorably adjudicated Secret Clearance at the start is necessary.

• Compliance with government cybersecurity policies, OPSEC requirements, and system access regulations is mandatory.

🏝️ Benefits

• Opportunities for growth and professional development.

• Certification as a Great Place to Work company.

• Equal Employment Opportunity/Affirmative Action protections.

• Reasonable accommodations available for applicants or employees with disabilities.