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dataroles

Data Engineer - Active TS/SCI with CI Polygraph (CIP)

TOMORROW HIRE Open · verified Oct 24, 2026
On-site McLean Full-time Mid-level Data Engineering

At a glance

Mid-level Data Engineering role at TOMORROW HIRE. McLean · full-time · $135,000–$165,000 base.

SalaryStated by TOMORROW HIRE
$135,000 – $165,000
Base salary for this role, in USD per year, as published in the posting.
This role, from TOMORROW HIREOur estimate for the market: $101,500–$211,200Median $142,500
The range includes the market median of $142,500 for mid-level data engineering roles in McLean.
Worked out from 8 postings that stated pay, median $142,500. Last updated Oct 20, 2026.
RoleData Engineering
SeniorityMid-level
LocationMcLean
WorkplaceOn-site
EmploymentFull-time
Base pay$135,000–$165,000
PostedOct 20, 2026 · 4d ago
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build distributed pipelines that ingest, clean, enrich and shape data from varied sources
  • Design and maintain relational, non-relational and cloud-based warehouses and data lakes
  • Add data checks, lineage, cataloging and security controls to data platforms
  • Work with data scientists and developers to put models into production and improve analytical queries

What you bring

  • An active TS/SCI clearance with CI Polygraph is required
  • At least three years designing AWS cloud-native data platforms
  • At least two years in scalable lake, warehouse and analytics solutions, cloud modernization, and data pipelines
  • A computer science bachelor's degree and experience supporting data science, AI/ML and BI dashboard work

Who this fits

This role suits a mid-level data engineer with experience building cloud data platforms and supporting analytical workloads. You must hold an active TS/SCI with CI Polygraph and work on-site in McLean, Virginia. The position is full-time.

From the employer

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.
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering$130k+

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.