Data Engineer
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Job Description
FedWriters, Inc. is hiring a Data Engineer for the DA2I program. This hybrid role in Arlington, Virginia focuses on turning raw inputs into clean, well-governed datasets and analytics pipelines that support mission-critical financial management decisions.
Responsibilities
- Collect, clean, and transform raw data into information that is actionable and meaningful.
- Support implementation of analytical techniques and applications using data-oriented programming languages, visualization tools, and modern computational methods.
- Apply foundational data mining, data modeling, NLP, and machine learning approaches to derive insights from large structured and unstructured datasets.
- Visualize, interpret, and clearly communicate data findings, including occasional development of dynamic or automated reports for stakeholders.
- Analyze data patterns and validate data quality to help maintain accuracy and reliability.
- Troubleshoot data workflows and assist senior data scientists with maintaining stable, well-governed analytics pipelines.
- Improve data availability and transparency to strengthen enterprise decision-making tied to mission needs.
Requirements
- Up to 3 years of directly related experience and a B.A./B.S. degree.
- Up to 3 years of foundational experience with 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, and familiarity with mapping raw-to-scrubbed data stages.
- Understanding of basic analytical concepts including 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 findings using dashboards and modern visualization tools.
- Active Secret clearance.
Technologies
- Python
- SQL
- R
- Databricks
- Spark
Work Schedule and Location
- Hybrid role based in Arlington, Virginia.
- Typically 1 to 2 days on site per month, with the remainder remote.
- Applicants should be located in the National Capital Region and able to be on site when mission requirements require it.
- Working alongside the government team in person supports relationship-building critical to the work.
Benefits
- Health Insurance
- Dental Insurance
- Vision Insurance
- Long-term and Short-term Disability Insurance
- Life Insurance
- 401(k) Plan
- Holiday Pay
- Paid Time Off
Pay Range
$45.38 per hour to $49.64 per hour, depending on experience, education, and clearance level.
Desired
- 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.