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Tria Federal

BI Reporting & AWS Quick Sight

RemoteUnited States only
Published
Role
Data Engineering
Experience
Senior
Salary not disclosed
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Open to US only. Set where you work from to check your eligibility.

No BS summary

Data Engineer with 5+ years in data engineering, data warehousing or BI development. Must be US-based and strong in AWS QuickSight, SQL, Python, AWS Glue, Redshift, S3, Athena, ETL/ELT, data modeling and data warehousing.

Core skills

AWS QuickSightSQLAWS Glue/Python/Spark

Required skills

Relational databasesAWSGitCI/CDAmazon RedshiftAmazon S3Amazon AthenaETL/ELTData ModelingData Warehousing

Optional skills

AWS Certified Data EngineerAWS Certified Solutions ArchitectAWS Certified Data AnalyticsRedshiftAthenaApache SparkLambdaAirflow

What you'll do

  • Design, develop, and maintain scalable data pipelines and ETL/ELT processes.
  • Build and optimize data models, data lakes, and data warehouses in AWS environments.
  • Integrate data from multiple internal and external sources while ensuring data quality and consistency.
  • Implement data governance, validation, monitoring, and security best practices.
  • Optimize database performance, query execution, and data processing workflows.
  • Develop, maintain, and enhance interactive dashboards and reports using AWS QuickSight.
  • Translate business requirements into meaningful KPIs, metrics, and visualizations.
  • Design data models and datasets optimized for reporting and analytics.
  • Collaborate with business users to gather reporting requirements and provide actionable insights.
  • Create self-service reporting solutions for business stakeholders.
  • Configure and manage Row-Level Security (RLS) and apply it across datasets, analyses, and dashboards.
  • Securely embed QuickSight dashboards into web portals/applications with integrated application-level security and RLS-based access control.
  • Create and manage QuickSight Topics and Spaces to enable natural language querying and self-service analytics for business users.
  • Provide AI-powered insights and dashboard interactions through Amazon QuickSight Q/Generative BI capabilities.
  • Develop cloud-native data solutions leveraging AWS services.
  • Work with AWS services such as Amazon S3, AWS Glue, Amazon Redshift, Amazon Athena, AWS Lambda, Amazon RDS, AWS Quick Sight.
  • Implement data security, access controls, and compliance requirements within AWS.
  • Partner with business analysts, data scientists, and application teams to deliver analytics solutions.
  • Provide technical guidance on reporting architecture and dashboard best practices.
  • Troubleshoot data issues and support production reporting environments.
  • Document data pipelines, reporting solutions, and technical processes.

What they require

  • Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related field.
  • 5+ years of experience in Data Engineering, Data Warehousing, or BI Development.
  • Hands-on experience building and maintaining dashboards using AWS QuickSight.
  • Strong experience with SQL and relational databases.
  • Experience developing ETL/ELT pipelines using AWS Glue, Python, Spark, or similar technologies.
  • Strong understanding of dimensional modeling, star/snowflake schemas, and data warehousing concepts.
  • Experience with AWS cloud services and data analytics architecture.
  • Proficiency in Python and/or other scripting languages.
  • Experience with Git and CI/CD deployment practices.
  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder engagement abilities.
  • Ability to translate business requirements into technical solutions.
  • Attention to detail and commitment to data quality.
  • Strong collaboration and teamwork skills.
  • Target Experience Level: Junior-Mid (5–10+ years)
  • Primary Focus: Data Engineering, AWS Data Platform, BI Reporting, AWS Quick Sight Dashboard Development.
  • Preferred: Knowledge of data governance, data quality frameworks, and metadata management.
  • Preferred: Experience working in Agile/Scrum environments.
  • Preferred: Familiarity with healthcare, federal, financial, or regulated industry reporting environments.
  • Preferred: Federal government or healthcare data environments.
  • Preferred: Building executive dashboards and KPI scorecards.
  • Preferred: Data migration and modernization initiatives.
  • Preferred: Real-time or near-real-time analytics solutions.

Benefits

  • Top-tier benefits package to invest in your physical, mental, and financial health and wellness.
  • Opportunities to learn new skills, seize new challenges, and advance your career.

Tria Federal delivers digital services and technology solutions that support the health and safety of veterans, service members and civilians. For two decades, federal agencies have relied on Tria companies to advance their critical missions and modernize their systems.

🇺🇸 United StatesGovernment TechnologyEnterprise
Salary not disclosed