Data Engineer, Analytics

Job not on LinkedIn

🔥 16 hours ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

📊 Analytics Engineer

👻 Ghost score 12%

infoinfo
Apply Now
Find Similar Remote Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Logo of E-Verify Program

E-Verify Program

501 - 1000 employees

🏛️ Government

👥 HR Tech

📋 Compliance

Government • HR Tech • Compliance

E-Verify Program is a web-based employment eligibility verification system operated by the U. S. Department of Homeland Security. It enables enrolled U. S. employers to electronically confirm the identity and work authorization of new (and some existing) hires by comparing employee-provided Form I-9 information against federal databases. The program includes employer and employee resources (myE-Verify), enhanced features like E-Verify+, photo matching, driver’s license verification, reporting tools, compliance guidance for federal contractors, training/webinars, and privacy/usage policies. E-Verify is an official government service focused on lawful employment verification and employer compliance with immigration and hiring regulations.

📋 Description

• 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

• 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

• 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

Apply Now

Similar Jobs

🔥 19 hours ago

Rightway

201 - 500

🏥 Healthcare

⚕️ Healthcare Insurance

☁️ SaaS

Analytics Engineer building dbt-powered data products for Rightway’s healthcare navigation and PBM platform. Transforming healthcare data into reliable models for reporting, insights, and AI-enabled analytics.

🕒 4 days ago

Bertelsmann SE & Co. KGaA

10,000+ employees

💼 Consulting

📣 Marketing

📱 Media

Senior AI engineer building LLM applications, MCP integrations, and RAG systems for Penguin Random House. Owning AI services from architecture through production monitoring in AWS and Databricks.

🕒 5 days ago

Render

11 - 50

💼 Consulting

📦 Logistics

☁️ SaaS

Staff Analytics Engineer leading analytics architecture, dbt models, and semantic layers at Render. Building trusted data foundations for AI-assisted decision-making across the developer cloud platform.

🕒 5 days ago

EasyPay Finance

51 - 200

💸 Finance

💳 Fintech

🤝 B2B

Lead Analytics Engineer consolidating lending data into governed SQL Server analytics infrastructure. Building pipelines, trusted models, operational reporting, and self-service KPI definitions.

🕒 5 days ago

Aceable

201 - 500

📚 Education

🛍️ eCommerce

Senior Analytics Engineer building end-to-end data products, pipelines, and BI solutions for Aceable’s licensing education platform. Using Snowflake, dbt, Power BI, and AI to support trusted business decisions.