Data Engineer

Chantilly, VA - USA

Monthly Salary: Not Disclosed

Posted on: 18 hours ago

Vacancies: 1 Vacancy

Job Summary

Company Overview:
For over 25 yearsEdgesource Corporation has served as an innovative technology service provider for the Department of Defense (DOD) Department of Homeland Security (DHS) Department of State (DOS) the U.S. Intelligence Community Law Enforcement and other federal state and commercial clients locally nationally and abroad. From providing boutique technical solutions in support of the DOD Counter Unmanned Aerial Systems (CUAS) mission set to addressing the most critical Cybersecurity threats facing our nation as a prime contractor with the DHS Cybersecurity & Infrastructure Security Agency (CISA) a career at Edgesource is an opportunity to do meaningful interesting and impactful work.

Position Overview:

Client is seeking a data engineer to grow our team performing cutting edge client work in mission space. With overwhelming amounts of large data client is seeking a data engineer to support data structuring for implementation into a larger enterprise system that is being custom developed for client.

Development is performed on client site.

Responsibilities:

Design develop and maintainETL/ELT pipelinesfor batch and real-time processing usingPython and SQL.
Integrate data from multiple sources including databases APIs streaming platforms PDFs and MS Office files.
Build scalable data architectures to support analytics and machine learning workloads.
Optimizedata processing and queriesfor performance and cost efficiency inAWS S3.
Exposure to PySpark or other big data frameworksis a plus for future pipeline scalability.

Data Management & Optimization

Collect clean and validate large volumes of structured and unstructured data.
Track data versions implement data quality checks and ensure data reliability.
Design and optimizedata storage in AWS S3 including raw intermediate and final datasets.
Implementdata governance practices including documentation cataloging lineage and security.
Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

Work closely withData Scientists Analysts and stakeholdersto understand data requirements.
Prepareclean structured and feature-ready datasetsfor analytics and machine learning.
Supportfeature engineering aggregations and transformationsat scale.
Assist in deploying ML models to production ensuring monitoring versioning and performance optimization.

Documentation & Communication

Document pipelines data schemas and transformations clearly.
Communicate technical concepts effectively with cross-functional teams.
Participate in code reviews and promote best practices across the team.

Required Qualifications:

35 years of professional experience indata engineeringor related roles.
Strong collaboration skills to work effectively withData Scientists Analysts and Engineering teams.
Ability tocommunicate complex technical conceptsto non-technical stakeholders.
Detail-oriented curious and committed todata quality.
Capable of managingmultiple prioritiesin a fast-paced environment.

Technical Skills

Python SQL and PySpark (highly desired)for data processing and pipeline development.
Elastic/OpenSearchfor search and analytics solutions.
Experience withAWS cloud servicesandLinux environments.
Gitfor version control and collaborative development.
Understanding ofmachine learning workflowsandMLOps concepts.

Working at Edgesource:
As an ISO 9001:2015 certified and CMMI Level 3 appraised small business Edgesource specializes in providing a variety of technical solutions to includesoftware development database services enterprise networking data center virtualization and management support. We are always seeking top-talent to join our team in helping to address the most critical technical challenges facing our nation.

At Edgesource we understand that our employees are our greatest asset and as such we offer a wide array of benefits to support the well-being of our staff to include:

-Flexible PTO Policy 11 Paid Holidays-
-Flexible Work Schedules (Remote / Hybrid)-
-Medical / Dental / Vision / Flexible Spending Account (FSA)-
-401k Plan with Match-
-Tuition & Professional DevelopmentSupport-
-Commuter Benefits-
-Bonus & Employee Referral Programs-
-Career Growth Opportunities -

Disclaimer:

Edgesource Corporation is an affirmative action and equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race color religion sex disability age sexual orientation gender identity national origin veteran status or genetic information. Edgesource is committed to providing access equal opportunity and reasonable accommodation for individuals with disabilities in employment its services programs and activities. To request reasonable accommodation please contact our Recruiting Department by email at or by phone at .

Position Overview:

Development is performed on client site.

Responsibilities:

Design develop and maintainETL/ELT pipelinesfor batch and real-time processing usingPython and SQL.
Integrate data from multiple sources including databases APIs streaming platforms PDFs and MS Office files.
Build scalable data architectures to support analytics and machine learning workloads.
Optimizedata processing and queriesfor performance and cost efficiency inAWS S3.
Exposure to PySpark or other big data frameworksis a plus for future pipeline scalability.

Data Management & Optimization

Collect clean and validate large volumes of structured and unstructured data.
Track data versions implement data quality checks and ensure data reliability.
Design and optimizedata storage in AWS S3 including raw intermediate and final datasets.
Implementdata governance practices including documentation cataloging lineage and security.
Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

Work closely withData Scientists Analysts and stakeholdersto understand data requirements.
Prepareclean structured and feature-ready datasetsfor analytics and machine learning.
Supportfeature engineering aggregations and transformationsat scale.
Assist in deploying ML models to production ensuring monitoring versioning and performance optimization.

Documentation & Communication

Document pipelines data schemas and transformations clearly.
Communicate technical concepts effectively with cross-functional teams.
Participate in code reviews and promote best practices across the team.

Required Qualifications:

35 years of professional experience indata engineeringor related roles.
Strong collaboration skills to work effectively withData Scientists Analysts and Engineering teams.
Ability tocommunicate complex technical conceptsto non-technical stakeholders.
Detail-oriented curious and committed todata quality.
Capable of managingmultiple prioritiesin a fast-paced environment.

Technical Skills

Python SQL and PySpark (highly desired)for data processing and pipeline development.
Elastic/OpenSearchfor search and analytics solutions.
Experience withAWS cloud servicesandLinux environments.
Gitfor version control and collaborative development.
Understanding ofmachine learning workflowsandMLOps concepts.

At Edgesource we understand that our employees are our greatest asset and as such we offer a wide array of benefits to support the well-being of our staff to include:

Disclaimer:

Required Experience:

Position Overview:

Development is performed on client site.

Responsibilities:

Design develop and maintainETL/ELT pipelinesfor batch and real-time processing usingPython and SQL.
Integrate data from multiple sources including databases APIs streaming platforms PDFs and MS Office files.
Build scalable data architectures to support analytics and machine learning workloads.
Optimizedata processing and queriesfor performance and cost efficiency inAWS S3.
Exposure to PySpark or other big data frameworksis a plus for future pipeline scalability.

Data Management & Optimization

Collect clean and validate large volumes of structured and unstructured data.
Track data versions implement data quality checks and ensure data reliability.
Design and optimizedata storage in AWS S3 including raw intermediate and final datasets.
Implementdata governance practices including documentation cataloging lineage and security.
Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

Work closely withData Scientists Analysts and stakeholdersto understand data requirements.
Prepareclean structured and feature-ready datasetsfor analytics and machine learning.
Supportfeature engineering aggregations and transformationsat scale.
Assist in deploying ML models to production ensuring monitoring versioning and performance optimization.

Documentation & Communication

Document pipelines data schemas and transformations clearly.
Communicate technical concepts effectively with cross-functional teams.
Participate in code reviews and promote best practices across the team.

Required Qualifications:

35 years of professional experience indata engineeringor related roles.
Strong collaboration skills to work effectively withData Scientists Analysts and Engineering teams.
Ability tocommunicate complex technical conceptsto non-technical stakeholders.
Detail-oriented curious and committed todata quality.
Capable of managingmultiple prioritiesin a fast-paced environment.

Technical Skills

Python SQL and PySpark (highly desired)for data processing and pipeline development.
Elastic/OpenSearchfor search and analytics solutions.
Experience withAWS cloud servicesandLinux environments.
Gitfor version control and collaborative development.
Understanding ofmachine learning workflowsandMLOps concepts.

At Edgesource we understand that our employees are our greatest asset and as such we offer a wide array of benefits to support the well-being of our staff to include:

Disclaimer:

Position Overview:

Development is performed on client site.

Responsibilities:

Design develop and maintainETL/ELT pipelinesfor batch and real-time processing usingPython and SQL.
Integrate data from multiple sources including databases APIs streaming platforms PDFs and MS Office files.
Build scalable data architectures to support analytics and machine learning workloads.
Optimizedata processing and queriesfor performance and cost efficiency inAWS S3.
Exposure to PySpark or other big data frameworksis a plus for future pipeline scalability.

Data Management & Optimization

Collect clean and validate large volumes of structured and unstructured data.
Track data versions implement data quality checks and ensure data reliability.
Design and optimizedata storage in AWS S3 including raw intermediate and final datasets.
Implementdata governance practices including documentation cataloging lineage and security.
Ensure compliance security standards.

Collaboration with Data Science & Stakeholders

Work closely withData Scientists Analysts and stakeholdersto understand data requirements.
Prepareclean structured and feature-ready datasetsfor analytics and machine learning.
Supportfeature engineering aggregations and transformationsat scale.
Assist in deploying ML models to production ensuring monitoring versioning and performance optimization.

Documentation & Communication

Document pipelines data schemas and transformations clearly.
Communicate technical concepts effectively with cross-functional teams.
Participate in code reviews and promote best practices across the team.

Required Qualifications:

35 years of professional experience indata engineeringor related roles.
Strong collaboration skills to work effectively withData Scientists Analysts and Engineering teams.
Ability tocommunicate complex technical conceptsto non-technical stakeholders.
Detail-oriented curious and committed todata quality.
Capable of managingmultiple prioritiesin a fast-paced environment.

Technical Skills

Python SQL and PySpark (highly desired)for data processing and pipeline development.
Elastic/OpenSearchfor search and analytics solutions.
Experience withAWS cloud servicesandLinux environments.
Gitfor version control and collaborative development.
Understanding ofmachine learning workflowsandMLOps concepts.

At Edgesource we understand that our employees are our greatest asset and as such we offer a wide array of benefits to support the well-being of our staff to include:

Disclaimer:

Required Experience: