Job Overview
Location
Remote - VA
Job Type
Full-time
Category
Data Science
Date Posted
June 14, 2026
Full Job Description
đź“‹ Description
- • Develop and deploy software into production environments for federal government clients in a remote capacity.
- • Set up and maintain data validation steps to ensure accuracy and integrity of data pipelines.
- • Establish and enforce data schemas across diverse and complex data sources.
- • Design, build, and manage scalable ETL/ELT pipelines using big data technologies including Spark and Databricks.
- • Optimize complex SQL queries and apply advanced data modeling techniques to support analytical workflows.
- • Work with large-scale data workflows exceeding 100GB in volume, handling messy and disparate data sources.
- • Implement ML and predictive analytics solutions to drive client outcomes and automation.
- • Lead cross-functional teams and mentor junior engineers on data engineering best practices.
- • Communicate complex technical insights and project updates to senior leadership and non-technical stakeholders.
- • Provide strategic consulting to federal clients, aligning technical solutions with mission objectives.
- • Enforce data governance standards and drive continuous improvement in data quality and pipeline reliability.
- • Make independent technical decisions with minimal oversight, setting benchmarks for performance and scalability.
- • Collaborate across multiple stakeholders to integrate feedback and deliver custom analytics solutions tailored to client needs.
- • Support AI engineering initiatives by ensuring robust, secure, and compliant data infrastructure.
- • Maintain compliance with federal data handling and security protocols in all development and deployment activities.
🎯 Requirements
- • Bachelor’s Degree in Computer Science or a closely related field
- • At least 5+ years of experience in Data Engineering
- • Must have experience with Python, pandas, pandera, SQL, Postgres, Databricks, and Spark
- • Must have a strong Python background
- • Must have strong experience working with messy data, disparate data sources, establishing and maintaining schemas, and setting up data validation steps
- • Must have an Active Secret Clearance
🏖️ Benefits
- • Employee ownership with shared financial success
- • Access to continuous learning resources, training, and mentorship
- • Inclusive workplace culture that values diversity and every team member’s voice
- • Mission-driven work on projects that make a meaningful impact for clients and communities
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Applied Information Sciences, Inc.
Applied Information Sciences is a U.S. technology consultancy founded in 1982, specializing in cloud transformation, custom software engineering, data analytics, and cybersecurity. Serving Fortune 500, federal civilian, and defense agencies, the company delivers Microsoft Azure, AWS, and hybrid solutions, modernizes legacy systems, and builds secure, scalable applications. Core practice areas include DevOps, AI/ML, enterprise mobility, and managed services. Headquartered in Reston, Virginia, with offices across North America, AIS maintains Microsoft Gold, AWS Advanced, and CMMI Level 3 certifications.
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