Data Engineer, Analytics

E-Verify Program

. Identify authoritative data sources and define ingestion, transformation, storage, access, retention, and quality requirements .

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

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in developing automated data pipelines, data modeling, and analytics within enterprise or cloud environments. Proficient in SQL and programming languages for data engineering, with a strong focus on data quality, security, and integration.

Highest-signal resume keywords

Data Pipeline DevelopmentSQL ProficiencyData ModelingAWS Data ServicesAPI Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data TransformationData QualityAutomated TestingData LineageData AnalyticsETL/ELT FrameworksMetrics CreationDashboard DevelopmentData Access ControlsData Definition Documentation

Tools & Technologies

PythonGitLab CI/CDCloud ServicesAPIsDevSecOps Workflows

Certifications & Qualifications

Bachelor’s Degree in Data EngineeringActive Secret Clearance6c Public Trust Eligibility

Industry Keywords

Data EngineeringInformation SystemsAnalyticsOperational AutomationSecurity Requirements

Tech Stack

Tools & technologies

AWSCloudETLPythonSQL

About the role

Key responsibilities & impact

Identify authoritative data sources and define ingestion, transformation, storage, access, retention, and quality requirements
Develop automated data pipelines and reusable data services supporting workflow, security, ATO, and operational automation
Design data models, schemas, mappings, validation rules, lineage, metadata, and data-quality controls
Create analytics datasets, metrics, dashboards, and reporting components exposing status, trends, exceptions, and decision-support information
Integrate data capabilities with APIs, customer repositories, approved cloud services, and DevSecOps workflows
Apply access controls, logging, encryption, and other security requirements in collaboration with security personnel
Automate testing and monitoring of data pipelines
Document designs, dependencies, operating procedures, and data definitions
Support a federal customer by transforming operational, development, security, and assessment data into reliable information for automation, monitoring, and decision support

Requirements

What you’ll need

Bachelor’s degree in Data Engineering, Computer Science, Information Systems, Analytics, Engineering, or related field
8+ years of relevant experience
Experience developing data pipelines, transformations, models, analytics, or reporting capabilities in enterprise or cloud environments
Proficiency with SQL and at least one programming/scripting language used for data engineering
Experience with data quality, lineage, access controls, automated testing, and integration with APIs or operational systems
Ability to obtain a 6c Public Trust
U.S. Citizenship is required
Active Secret clearance highly preferred
Preferred: AWS data services, Python, SQL, ETL/ELT frameworks, data modeling and lineage, dashboards/analytics tools, GitLab CI/CD, and API-based data integration

Benefits

Comp & perks

Certification incentive program
PTO
Floating federal holiday options
HMO and High Deductible health insurance plans
Health Savings Accounts (HSAs)
Flex Spending Accounts (FSAs)
Full dental plans
Vision insurance
Short-term and long-term disability insurance
Life insurance
401(k) matching
Flexible work environment
Professional development recognition and rewards for business-aligned certifications