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Remote Data Engineer
$96k-122k (estimate)
Full Time 0 Months Ago
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Edgesource Corporation is Hiring a Remote Remote Data Engineer

EOE Statement

We are an equal employment opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status or any other characteristic protected by law.

Category 

Information Technology

Description 

Experience:

**Fully Remote** Must be US Citizen and able to obtain a TS/SCI

  • Develop standardized data architecture that includes data structure and transfer protocols to facilitate sensor integration and dynamically share information to improve situational awareness. 
  • Develop a standardized architecture that supports a centralized data repository that advances all data analytics, and AIML capabilities enhance command and control decisions. 
  • Design and build end-to-end data pipeline solutions (esp. streaming and batch processing, machine learning model training and updating). 
  • Develop strategies for data acquisitions, archive recovery, and implementation of a database. 
  • Define, design, and build dimensional databases. 
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it. 
  • Writes unit/integration tests, contributes to engineering wiki, and documents work. 
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues. 
  • Works closely with a team of frontend and backend engineers, product managers, and analysts. 
  • Designs data integrations and data quality framework. 
  • Works closely with all engineering teams to develop strategy for long term data platform architecture. 

Qualifications / Skills: 

  • SQL/MySQL/PostgreSQL
  • Microservice deployment, cloud certification (AWS architect) 

Education, Experience, and Licensing Requirements: 

  • BS or MS degree in Computer Science or a related technical field 
  • 2-4 years of experience as a data engineer 
  • U.S. Citizenship with ability to obtain government security clearance 

Position Requirements 

Full-Time/Part-Time: Full-Time

Shift: -not applicable-

Position: Data Architect 

Number of Openings: 1

Req Number: INF-20-00012

Open Date:8/24/2020

Location: Mountain View

About the Organization: Edgesource Corporation is a leading small business providing information technology and business consulting services to the federal government. We are a stable, growing business offering excellent growth potential for business minded professionals.

Job Summary

JOB TYPE

Full Time

SALARY

$96k-122k (estimate)

POST DATE

05/23/2023

EXPIRATION DATE

05/09/2024

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The data engineer develops and maintains the enterprise data framework for continued use.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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