Senior Data Application Engineer

GDH INC

Alexandria, VA, United States

12 days ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

7 years minimum

Working hours

Regular working hours

Job source

www.clearancejobs.com

Tech stack

Application Programming Interfaces (APIs) Agile Methodology Amazon Web Services Business Analytics Applications Data Analysis Applications Architecture Application Testing Microsoft Online Services Cloud Engineering Code Review Databases Data Validation

+30 more

Data Governance Extract Transform Load (ETL) Data Transformation Relational Databases Database Queries Software Debugging Enterprise Information Management Performance Tuning Power BI Microsoft SharePoint Software Deployment Software Engineering SQL Databases Systems Integration Enterprise Data Management Software Organization Qliksense Scripting Microsoft Power Automate Apache Spark Software Troubleshooting Git SC Clearance Data Lakes Qlikview Restful APIs Data Pipelines Devsecops Powerapps Databricks

Job description

Design, develop, and maintain analytics applications using Databricks, Qlik, Power BI, and SharePoint.
Develop and optimize ETL/ELT data pipelines that integrate enterprise data from multiple systems.
Build dashboards, reports, and visualizations that support operational and executive decision making.
Develop Qlik applications, data models, and scripting to support reporting and analytics.
Develop Databricks notebooks, workflows, and data transformation logic.
Integrate applications with SharePoint, Power Platform, REST APIs, databases, and enterprise services.
Support application testing, debugging, performance tuning, and production deployments.
Collaborate with business users to translate functional requirements into technical solutions.
Participate in Agile planning, sprint activities, backlog refinement, and code reviews.
Document application architecture, technical designs, and deployment procedures.
Support data validation, troubleshooting, and production issue resolution.
Follow secure software development and DevSecOps practices.

Requirements

7+ years developing enterprise data and analytics applications.
Experience with Databricks development including notebooks, workflows, Delta Lake, and Spark.
Experience developing Qlik Sense or Qlik analytics applications.
Experience integrating enterprise data using APIs, SQL, and ETL/ELT processes.
Strong SQL skills and relational database experience.
Experience with Power BI development and dashboard creation.
Experience integrating with Microsoft SharePoint and Microsoft 365 services.
Experience using Git and modern software development practices.
Experience working in Agile software development teams.
Strong troubleshooting, communication, and stakeholder engagement skills.
Active Secret Clearance.
DoD 8570 IAT Level II Certification (or ability to obtain if contract allows).