Data Engineer

FedWriters

. Collect, clean, and transform raw data into meaningful, actionable information .

Posted 10/16/2026full-timeArlington • Virginia • United StatesMid-LevelSenior💰 $45 - $50 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in data manipulation and analytics using Python, SQL, and R, with a strong understanding of data mining, machine learning, and natural language processing techniques. Capable of visualizing data findings and developing automated reports to support decision-making in enterprise environments.

Highest-signal resume keywords

Python ProgrammingSQL Data ManipulationData Mining TechniquesMachine Learning FundamentalsData Visualization Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data CleaningData TransformationETL WorkflowsData ModelingNatural Language ProcessingData ValidationAnomaly DetectionAutomated ReportingData Quality GovernanceScripting for Automation

Soft Skills

CollaborationCommunicationProblem-Solving

Tools & Technologies

DatabricksSparkVisualization DashboardsAnalytics PipelinesMission-Focused Analytics Platforms

Certifications & Qualifications

Active Secret Clearance

Industry Keywords

Enterprise DatasetsFinancial Data EnvironmentsAudit WorkflowsStructured DataSemi-Structured Data

Tech Stack

Tools & technologies

ETLPythonSparkSQL

About the role

Key responsibilities & impact

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 data mining, data modeling, natural language processing, and machine learning techniques to structured and unstructured datasets
Visualize, interpret, and report data findings
Develop dynamic or automated data reports for stakeholders when needed
Analyze data patterns and validate data quality
Troubleshoot data workflows
Support senior data scientists in maintaining stable, well-governed analytics pipelines
Improve data availability, transparency, and mission-critical decision-making across enterprise systems

Requirements

What you’ll need

Up to 3 years of directly related experience
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 or Spark, or equivalent
Familiarity with mapping raw-to-scrubbed data stages
Understanding of 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
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

Benefits

Comp & perks

Health Insurance
Dental Insurance
Vision Insurance
Long-term and Short-term Disability Insurance
Life Insurance
401(k) Plan
Holiday Pay
Paid Time Off
Internal promotions
Professional development
Recognition and rewards programs
Collaborative environment
Growth opportunities