Senior BI Data Engineer — Enterprise Analytics & Dashboards

Tria Federal

Woodlawn (KY)

Hybrid

USD 120,000 - 180,000

Full time

5 days ago

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Job summary

Tria Federal seeks a SeniorBI Data Engineer to support enterprise data and BI initiatives across federal programs. You will collaborate with data engineers, analysts, and stakeholders to transform complex data into reliable insights and actionable dashboards.

The role requires strong SQL and Python skills, experience with Snowflake/Teradata, and hands-on use of Tableau, QuickSight, or Power BI. Hybrid on-site in Windsor Mill, MD with federal clearance a plus.

Qualifications

10+ years of relevant professional experience in data engineering, BI, data analytics, or a related technical field.
Bachelor’s degree in a technical field or equivalent professional experience.
Experience with large-scale enterprise databases such as Snowflake or Teradata.
Strong SQL development and Python for data analysis and automation.
Experience with Jira and GitHub in Agile environments.
Ability to translate business and reporting requirements into technical data/BI solutions.

Responsibilities

Design, develop, maintain, and enhance data solutions for enterprise reporting, analytics, and BI needs.
Develop, maintain, and optimize SQL queries for data extraction, transformation, analysis, validation, and reporting.
Work with large-scale enterprise databases and data platforms to retrieve, transform, integrate, and analyze data.
Develop and support dashboards, reports, datasets, and visualizations using Tableau, Amazon QuickSight, Power BI, or other BI technologies.
Use Python and scripting to support data processing, analysis, transformation, validation, and automation.
Analyze data from multiple sources to identify Trends, inconsistencies, data quality issues, and opportunities to improve reporting.
Support data modeling and preparation of structured datasets for reporting/analytical use cases.
Collaborate with stakeholders to understand requirements and translate them into data/BI solutions.
Troubleshoot and resolve data, database, query, dashboard, and reporting issues.
Optimize queries, datasets, and BI solutions for performance and reliability.
Maintain documentation for data sources, queries, transformations, and reports.
Use Jira for Agile planning and coordination; use GitHub for version control.