Data Engineer

AITHERAS, LLC • Arlington, VA

65d • $95,000 - $120,000 • Hybrid

About The Position

We are seeking a Data Engineer to support our Diversion Team and contribute to our data-driven initiatives. The role will focus on supporting the data architecture, engineering, and analytics needs of the team by working with DEA (Drug Enforcement Administration) stakeholders to develop solutions and streamline processes.

Requirements

• Minimum of 3 years of experience in data engineering, data architecture, or visualization development.
• Experience with tools like PowerBI, Excel (Query, Macros), PowerApps, and Python.
• Strong understanding of data analysis, data modeling, and data standardization.
• Excellent problem-solving and analytical skills.
• Ability to work effectively in a team environment.
• Bachelor's degree in Computer Science, Mathematics, or related field.

Responsibilities

• Visualization and Dashboard Development: The Data Engineer will be responsible for developing and maintaining visual dashboards to present data insights to stakeholders. This includes working with tools like PowerBI and PowerApps to design effective dashboards that communicate data effectively. Experience in designing visualizations that enhance the understanding of complex data is essential.
• Data Engineering and Support: You will lead efforts to manage, package, and collect data from internal and external sources, ensuring consistency and accuracy across datasets. This includes working with Excel (Query language, Macros), Python, and PowerBI to automate processes, standardize data, and build data pipelines that meet industry standards.
• Data Analysis and Reporting: The successful candidate will conduct advanced data analytics, write custom queries, and generate reports to support ongoing business needs. You will also assist in developing and integrating various datasets and create reports in both written and graphical formats to illustrate trends, outliers, and connections. All reports will be validated for accuracy and shared with stakeholders with explainable documentation as requested.
• Data Quality and Standardization: The Data Engineer will develop automated processes to receive, standardize, and ensure the quality of raw data from multiple sources. This includes performing data quality checks to analyze data for accuracy, timeliness, and relevance.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 11-50 employees