Data Engineer

FedWriters, Inc.•Arlington, VA

11d•$45 - $50•Hybrid

About The Position

FWI is hiring a Data Engineer for the DA2I program to support the Department of War Comptroller. The role focuses on building and maintaining reliable, well-governed datasets and analytics pipelines that improve data quality, availability, and reporting for financial management decisions. The Data Engineer will use Python, SQL, R, Databricks, and Spark to transform raw data and support mission-critical decision-making. The position is based in Arlington, Virginia, and follows a hybrid schedule, typically requiring 1–2 days on site per month with the remainder remote. The employer seeks someone in the National Capital Region who can come on site when the mission requires it. The role offers internal promotion opportunities, professional development, and employee recognition and rewards programs.

Requirements

Up to 3 years of directly related experience and a B.A./B.S. degree.
Up to 3 years of foundational experience using Python, SQL, R, or similar languages for data manipulation, ETL, or analytics workflows.
Exposure to data-processing frameworks or platforms such as Databricks, Spark, or equivalent, and familiarity with mapping raw-to-scrubbed data stages.
Understanding of basic analytical concepts such as data mining, machine learning fundamentals, NLP techniques, and data modeling.
Ability to perform data validation, identify anomalies, and support data-quality governance under guidance from senior team members.
Ability to interpret trends, visualize results, and communicate data findings using dashboards and modern visualization tools.
Active Secret clearance.

Nice To Haves

Exposure to mission-focused analytics platforms and large-scale enterprise datasets.
Familiarity with audit workflows, financial data environments, or systems involving structured and semi-structured data integrations.
Experience collaborating with cross-functional teams and translating business requirements into basic analytical or software tasks.
Experience building lightweight scripts or prototypes that automate small analytical tasks or data transformations.

Responsibilities

Collect, clean, and transform raw data into meaningful, actionable information.
Help implement analytical techniques and applications using data-oriented programming languages, visualization tools, and modern computational methods.
Apply foundational data mining, data modeling, natural language processing, and machine learning techniques to extract insights from large structured and unstructured datasets.
Visualize, interpret, and clearly report data findings, occasionally developing dynamic or automated data reports for stakeholders.
Analyze data patterns and validate data quality to maintain accurate and reliable information.
Assist with troubleshooting data workflows and support senior data scientists in maintaining stable, well-governed analytics pipelines.
Improve data availability, transparency, and mission-critical decision-making across enterprise systems.