Data Engineer with Security Clearance

Data Engineer Pay: 155,000 - 170,000

Location: 3-4 days onsite on NW DC

Clearance Requirement: Active TS/SCI

Experience: 4-8

Education: Bachelors Degree Required Skills: Stakeholder Management

ETL

Data Pipelines

Effective Team Communication Product Management

Data Engineering

Data Management

Master Data Management

Agile

Intelligence Community

Client Engagement

Familiarity and experience with the Intelligence Community (IC), and the intel cycle.

Familiarity and experience with the Department of Homeland Security (DHS).

Direct Experience with DHS and Intelligence Community (IC) component's data architectures and environments (IC-GovCloud experience preferred).

Experience with cloud message APIs and usage of push notifications.

Keen interest in learning and using the latest software tools, methods, and technologies to solve real world problem sets vital to national security.

Working knowledge with public keys and digital certificates. Experience with DevOps environments. Expertise in various COTS, GOTS, and open source tools which support development of data integration and visualization applications. Experience with cloud message APIs and usage of push notifications. Specialization in Object Oriented Programming languages, scripting, and databases. Day-to-day Responsibilities: Define and communicate a clear product vision for our client's software products, aligning with user needs and business objectives.

Create and manage product roadmaps that reflect both innovation and growth strategies.

Partner with a government product owner and a product team of 7-8 FTEs.

Develop and design data pipelines to support an end-to-end solution.

Develop and maintain artifacts (e.g. schemas, data dictionaries, and transforms related to ETL processes).

Integrate data pipelines with AWS cloud services to extract meaningful insights.

Manage production data within multiple datasets ensuring fault tolerance and redundancy.

Design and develop robust and functional dataflows to support raw data and expected data.

Provide Tier 3 technical support for deployed applications and dataflows.

Collaborate with the rest of data engineering team to design and launch new features. Coordinate and document dataflows, capabilities, etc.

Occasionally (as needed) support to off-hours deployment such as evening or weekends. Disruptive Solutions is committed to the principles of equal employment. We are committed to complying with all federal, state, and local laws providing equal employment opportunities, and all other employment laws and regulations. It is our intent to maintain a work environment that is free of harassment, discrimination, or retaliation because of age, race, color, national origin, ancestry, religion, sex, sexual orientation (including transgender status, gender identity or expression), pregnancy (including childbirth, lactation, and related medical conditions), reproductive health decisions, marital status, personal appearance, matriculation, political affiliation, credit information, employment status, physical or mental disability, genetic information (including testing and characteristics), veteran status, uniformed servicemember status, status as a victim or family member of a victim of domestic violence, a sexual offense, or stalking, homeless status, or any other status protected by federal, state, or local laws.

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