Principal Database Engineer

ASRC Federal

. Design, construct, test, and maintain scalable data pipelines and architectures for data ingestion and transformation .

Posted 9/22/2026full-timeRemote • United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and architectures, with a strong focus on data quality, validation, and optimization. Proficient in collaborating with cross-functional teams to implement data solutions that enhance insights and operational efficiency.

Highest-signal resume keywords

Data Pipeline DesignPython ProgrammingSQL ProficiencyETL ProcessesData Quality Assessment

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data IngestionData TransformationData ModelingData ArchitectureDatabase ManagementData ValidationData CleansingAnalytical SolutionsRoot Cause AnalysisPerformance Optimization

Soft Skills

Analytical SkillsCritical ThinkingProblem Solving

Tools & Technologies

AWSAzureHadoopSpark

Certifications & Qualifications

Data Engineering Certifications

Industry Keywords

Data ScienceAdvanced AnalyticsData Quality ImprovementOperational Settings

Tech Stack

Tools & technologies

AWSAzureCloudETLHadoopPythonSparkSQL

About the role

Key responsibilities & impact

Design, construct, test, and maintain scalable data pipelines and architectures for data ingestion and transformation
Collaborate with data scientists and analysts to implement data solutions that uncover insights and improve data quality
Perform root cause analysis to identify data errors and propose remediation solutions
Analyze and optimize data processes and systems for efficiency and performance
Validate data reliability through systematic testing and monitoring of data quality metrics
Document data engineering processes, system workflows, and best practices
Collaborate with Error Response Teams (ERTs) to remediate data quality issues
Remotely support the DHS program and ICE LESA Data Quality Improvement Support Services contract

Requirements

What you’ll need

Minimum bachelor’s degree in data science, statistics, computer science, engineering, mathematics, or a closely related discipline
At least eight (8) years of experience in data science, advanced analytics, or a closely related field
Hands-on experience designing and implementing analytical solutions in operational settings
Advanced proficiency in Python, SQL, and ETL processes
Experience with cloud platforms and big data technologies such as AWS, Azure, Hadoop, and Spark
Strong understanding of data modeling, data architecture, and database management principles
Proven experience in data validation, data cleansing, and data quality assessment techniques
Excellent analytical skills and ability to think critically and solve complex problems
Relevant data engineering certifications are a plus
Position is contingent upon award

Benefits

Comp & perks

Top veteran employer
Certified Great Place to Work™