Data Engineer

AIS (Applied Information Sciences)

Data Engineer designing and operating scalable data platforms for AIS using Microsoft Azure and Databricks. Collaborating with teams to ensure high-quality data for analytics and reporting.

Posted 6/3/2026full-timeRemote • Virginia • 🇺🇸 United StatesMid-LevelSenior💰 $111,000 - $204,000 per yearWebsite

Tech Stack

Tools & technologies

AirflowApacheAzureCloudETLPySparkPythonSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable batch and near-real-time data pipelines using cloud-native services
Develop and optimize data ingestion, transformation, and orchestration workflows across diverse data sources
Build and maintain ELT/ETL frameworks to support analytics, reporting, and data science use cases
Prepare, transform, and curate raw data into analytics-ready datasets for both technical and non-technical stakeholders
Develop, deploy, and operate data products within Azure-based analytics platforms (e.g., Databricks, Synapse, Fabric)
Implement data quality checks, monitoring, and observability to ensure data accuracy, reliability, and integrity
Apply data governance, security, and privacy controls aligned with enterprise and regulatory standards
Monitor data platform performance and proactively implement cost and performance optimizations
Partner with data scientists, analysts, and analytics engineers to ensure trusted and timely access to data
Design data solutions that are scalable, reusable, automated, and well-governed by default

Requirements

What you’ll need

Bachelor’s degree (or equivalent experience) in Computer Science, Information Systems, Engineering, Mathematics, Statistics, or a related field
Experience working within a modern cloud data platform, with Microsoft Azure strongly preferred
Hands-on experience with Apache Spark or other distributed data processing frameworks
Strong SQL skills and experience with relational data modeling and query optimization
Proficiency in Python, with experience building data pipelines or transformations (PySpark experience a plus)
Experience with data orchestration and workflow tools (e.g., Azure Data Factory, Airflow, or similar)
Solid understanding of data modeling, schema design, and analytical data structures
Familiarity with data governance, security, and quality concepts in enterprise environments
Strong problem-solving, communication, and collaboration skills
Ability to work independently while contributing effectively within cross-functional teams

Benefits

Comp & perks

Competitive Salaries
Qualified Overtime
Paid Time Off (PTO)
Flexible Holiday Leave (88 hours per year)
Parental Leave
Immediate Healthcare: Medical, Dental, Vision, and Life Insurance
Employee Stock Ownership Plan (ESOP)
401(k) Retirement Plan (5% match on base compensation, immediate 100% vesting)
Tuition Reimbursement & Learning Allowance
Referral Bonus Program (up to $5k)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data pipelinesdata ingestiondata transformationdata orchestrationELTETLSQLPythonApache Sparkdata modeling

Soft Skills

problem-solvingcommunicationcollaboration