Data Engineer

Node.Digital

. Design and implement effective database structures and models to store, retrieve, and analyze data .

Posted 11/6/2026full-timeHerndon • Virginia • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and implementing data architectures, developing and managing data pipelines, and executing ETL processes. Proficient in SQL and big data technologies, with strong programming skills in Python, Java, or Scala.

Highest-signal resume keywords

Data Architecture DesignETL Process ImplementationData Pipeline DevelopmentSQL ProficiencyBig Data Technologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureETL ProcessesData Pipeline DevelopmentSQLMySQLPostgreSQLSQL ServerPythonJavaScala

Tools & Technologies

HadoopSpark

Industry Keywords

Data EngineerData ArchitectDatabase Management Systems

Tech Stack

Tools & technologies

ETLHadoopJavaMySQLPostgresPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design and implement effective database structures and models to store, retrieve, and analyze data
Develop, construct, test, and maintain scalable data pipelines to collect, process, and integrate data from various sources
Implement ETL (Extract, Transform, Load) processes to ensure data consistency and quality
Integrate data from different sources, ensuring consistency, reliability, and accuracy
Develop data APIs and automation scripts to streamline data integration and workflows
Monitor and optimize database and data processing system performance
Conduct performance tuning and troubleshoot data issues

Requirements

What you’ll need

Bachelor's degree in Computer Science, Management Information Systems, or relevant discipline (4 years of equivalent experience)
8+ years' experience as a Data Architect, Data Engineer, or in a similar role
Extensive experience in designing and implementing data architectures
Hands-on experience in developing and managing data pipelines and ETL processes
Proficiency in SQL and database management systems (e.g., MySQL, PostgreSQL, SQL Server)
Experience with big data technologies (e.g., Hadoop, Spark) and ETL tools
Strong programming skills in languages such as Python, Java, or Scala
Preferred: US Citizen

Benefits

Comp & perks

Medical
Dental
Vision
Basic Life
Health Saving Account
401K
Three weeks of PTO/Sick
11 Paid Holidays
Pre-Approved Online Training