TOMORROW HIRE

AI-powered healthcare and government recruitment

Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeMcLean, VA, USA

About the Job

Requirements

At least 3 years of experience designing cloud-native data platforms in AWS.
At least 2 years of experience designing scalable data lake, warehouse, and analytics solutions.
At least 2 years of experience with cloud migration and modernization efforts.
At least 2 years of experience with data pipelines, including data acquisition, data preparation, and database architecture.
Experience supporting data science, artificial intelligence and machine learning implementations, and business intelligence dashboards.
Experience with non-relational and semi-relational databases.
Experience creating software for retrieving, parsing, and processing structured and unstructured data.
A bachelor's degree in Computer Science.
Experience with team-lead functions and cross-functional team collaboration.
An active TS/SCI clearance with CI Polygraph is required.
Must work on-site in McLean, Virginia.

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 and lakes.
Implement data quality validation, lineage tracking, cataloging, and security and governance controls.
Collaborate with data scientists and software developers to productionize data models and streamline analytical queries.

Desired Qualifications

Experience with PySpark and Spark ecosystems, including Databricks and EMR.
Experience evaluating data analytics and data science technologies and platforms.
Experience with the 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, Python and SQL scripting, and API development.
AWS architecture certifications, such as Solutions Architect.

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

TOMORROW HIRE · McLean, United States · Full-time · Posted 2026-10-20

Salary: USD 135,000–165,000

Workplace: on_site

Department: Information Technology

Description

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.

Apply

Apply at TOMORROW HIRE

About the Company

TOMORROW HIRE

AI-powered healthcare and government recruitment

Tomorrow Hire provides AI-assisted recruitment tools for the healthcare and government contracting sectors. Its platform combines AI-driven candidate screening, tailored interview questions, and thorough background checks to speed up hiring while ensuring candidate reliability. How it works: clients share job requirements; the AI analyzes applicants, generates role-specific interview questions, and checks credentials, with human recruiters reviewing results to finalize hires. The service prioritizes data security and compliance with data transfer laws. Differentiation comes from a clear focus on healthcare and government, targeting small teams, blending machine intelligence with human expertise, and offering a referral program for adding new clients. The goal is to make the hiring process smarter, faster, and more efficient for its customers.

Company size: Not listed
Company stage: Not listed
Total funding: Not listed
Headquarters: Great Falls, MT
Founded: 2024

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