Data Engineer​/BI Developer

Information Technology Careers Remote , Remote,United States

This position requires a strong technical background in data pipeline (ETL/ELT) development, data warehousing, and modern BI visualization platforms. Working in an Agile environment, the candidate will collaborate with software developers, database administrators, and business analysts to deliver scalable, secure, and compliant data products that drive strategic decision-making. Come join our award-winning organization and work with some of the most talented and brightest minds in the Gov Con industry.

Location:
Remote

In accordance with established technical guidelines and data management objectives, the Data Engineer / BI Developer will perform the following duties:

• Design, implement, and maintain scalable data pipelines to ingest, transform, and load structured and unstructured data from disparate enterprise sources.
• Develop clean, optimized SQL scripts, stored procedures, and ETL workflows to support data migration and synchronization.
• Monitor, troubleshoot, and tune data integration processes to ensure maximum pipeline efficiency, data freshness, and minimal system latency.

• Participate in formal Analysis of Alternatives (AoA) to evaluate and determine optimal enterprise Business Intelligence (BI) Architecture Solutions
  , analyzing key factors such as platform scalability, data ingestion performance, system integration, licensing, and data governance capabilities.
• Assist in designing and maintaining robust data warehouse schemas, data marts, and dimensional models (Star/Snowflake schemas) to optimize analytical queries.
• Collaborate with database administrators to ensure data integrity, database performance tuning, indexing, and partitioning strategies are aligned with reporting needs.

• Develop, publish, and maintain interactive, high-performance dashboards and paginated reports using enterprise BI tools (such as Power BI, Tableau, or Qlik).
• Translate complex business requirements into intuitive, user-friendly data visualizations that clearly communicate trends, KPIs, and anomalies.
• Create and maintain complex data models within BI tools, utilizing advanced calculation languages (such as DAX or MDX) to perform advanced calculations and time-series analyses.

• Implement rigorous automated data validation and quality check procedures within the data pipelines to identify, log, and resolve data anomalies.
  
  Required Qualifications
  • Education: Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related technical field (equivalent professional experience may be considered).
  • Experience:
    • Minimum of 5+ years of professional experience in data engineering, BI development, or database development roles.
    • 3+ years of hands‑on experience designing and implementing ETL/ELT pipelines and dimensional data models.
    • 3+ years of experience developing enterprise‑grade dashboards and reports using tools like Power BI or Tableau.
  • Technical
    
    Skills:
    
    
    • Expert‑level proficiency in SQL, including writing, optimizing, and debugging complex queries, views, and stored procedures.
    • Strong programming skills in languages commonly used in data pipelines (e.g., Python, Scala, or C#).
    • In‑depth understanding of data warehousing concepts, ETL methodologies, and data architecture patterns.
    • Solid understanding of the Software Development Life Cycle (SDLC) and Agile/Scrum development methodologies.
  • Soft Skills:
    • Excellent analytical, problem‑solving, and critical thinking skills.
    • Strong communication skills, with the ability to convey complex data concepts to non‑technical business stakeholders.
  Preferred Qualifications
  • Experience with cloud data platforms (such as Azure Synapse, Snowflake, AWS Redshift, or Databricks).
  • Familiarity with modern data orchestration tools (such as Apache Airflow, Azure Data Factory, or dbt).
  • Experience implementing Row‑Level Security (RLS) and managing workspace permissions within enterprise BI environments.
  • Knowledge of advanced statistical analysis, predictive modeling, or machine learning integration with…