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Über diese Data Engineer - Active TS/SCI with CI Polygraph (CIP) Stelle bei TOMORROW HIRE

TOMORROW HIRE · Vor Ort · McLean, Virginia, United States

Data Engineer - Active TS/SCI with CIP

Location: McLean, VA

Clearance Required: TS/SCI with CI Polygraph (CIP)

Position Type: Full-Time, On-Site

Salary Range: $135,000 – $165,000

Description

We are seeking a Data Engineer to support mission-focused work. Engineers, modernizes, and maintains scalable data architectures, ETL/ELT pipelines, and data platform infrastructure to support high-volume analytics, data science, and AI/ML workloads. The position requires an active TS/SCI with CI Polygraph (CIP).

Primary Responsibilities

  • Architect end-to-end distributed data pipelines to ingest, clean, enrich, and model heterogeneous data from diverse sources.
  • Design, optimize, and maintain relational, non-relational, and cloud data warehouses/lakes.
  • Implement data quality validation, lineage tracking, cataloging, and security/governance controls.
  • Collaborate with data scientists and software developers to productionize data models and streamline analytical queries.

Requirements

Minimum Qualifications:

  • 3+ years of experience designing cloud-native data platforms in AWS
  • 2+ years of experience designing scalable data lake, warehouse, and analytics solutions
  • 2+ years of experience with cloud migration and modernization efforts
  • 2+ years of experience with data pipelines (data acquisition, data prep, database architecture)
  • Experience supporting data science, AI/ML implementations, and BI dashboards
  • Experience with non-relational and semi-relational databases
  • Experience creating software for retrieving, parsing, and processing structured/unstructured data
  • Bachelor's degree in Computer Science
  • Experience with team lead functions and cross-functional team collaboration
  • Active TS/SCI with CI Polygraph (CIP) required.
  • Must work on-site in McLean, VA.

Preferred Qualifications:

  • Experience with PySpark and Spark ecosystems (Databricks, EMR)
  • Experience evaluating data analytic/science technologies and platforms
  • Experience going through A&A process or leading modifications
  • Experience with cloud architecture and selecting cloud analytics architectures
  • Experience with data marts, data warehouses, and complex operational data flows
  • Experience with Git/GitHub, AWS deployment, scripting (Python, SQL), and API development
  • AWS Architecture Certifications (e.g., Solutions Architect)

Benefits

Salary

Salary for this position is determined based on factors such as location, qualifications, experience, and contract-specific budget considerations.

Proposed Salary Range: $135,000 – $165,000

Benefits

We offer a comprehensive and competitive benefits package, including:

  • 100% Company-Paid Health Insurance: Full coverage for medical, dental, and vision insurance for employees and their dependents (United Healthcare and Guardian).
  • Protection Plans: Employer-paid life, short-term disability, and long-term disability insurance.
  • 401(k) Retirement Contribution: 15% of base salary contributed by the company, fully vested from day one.
  • Paid Time Off: 200 hours of PTO annually (accrued), in addition to 11 federal holidays.
  • Bonuses: Recruitment and business development bonus opportunities based on performance and company growth.
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Wie sich dieses Gehalt für Data Engineer vergleicht

Diese Stelle zahlt $150,000/yr — im Einklang mit der üblichen Spanne für Data Engineer Stellen.

$102,570 dem Median $165,000 $240,000

Übliche Spanne $130,575–$193,000/yr, aus 1,789 vergleichbaren Data Engineer Anzeigen auf JobsRadar (Vergütung auf USD hochgerechnet). Gehaltseinblicke für Data Engineer ansehen →

Über TOMORROW HIRE

At TOMORROW HIRE, we believe every hire matters. Every hire drives innovation, builds success, and shapes the future of work. That’s why we’re committed to making hiring smarter, faster, and better for every business we serve. We’re not just solving staffing challenges-we’re creating a movement for smarter hiring.

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