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Data Engineer
LaunchPointPEO Washington, DC
$126k-155k (estimate)
Full Time 1 Month Ago
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LaunchPointPEO is Hiring a Remote Data Engineer

LaunchPoint PEO is a professional employer organization that works with other companies to handle their Human Resources functions, including benefits, payroll, and recruiting, to enable them to better focus on their company missions. LaunchPoint has a group of experienced PEO associates dedicated to all recruiting efforts necessary to the success of its clients.

Company Overview:

Crisis1, LLC is a Center for Veterans Enterprise (CVE) verified Service-disabled Veteran Owned Small Business (SDVOSB) founded in 2007 to deliver executive-level expertise and solutions to federal and private sector clients. Crisis1 has extensive past performance across several Department of Homeland Security (DHS) Components providing a wide variety of financial systems modernization (FSM) support, data analytics, automation, and reporting.

Job Summary:

This project is targeted at improving sophisticated dashboards that interact with users to bring attention to key datapoints; specialized reporting for digital assets involving significant data integration as multiple integrated datasets are required to pair identifying information with transactional data. Use agile and efficient development of tools to address rapidly changing automation needs and shifting priorities.

Assist in applying common best practices for the industry to the customer using a knowledge base to create conceptual business models and to identify relevant issues and considerations in selecting solutions. Assess the operational and functional baseline of a system and its components, and help to define the direction and strategy for an engagement while ensuring the organizational needs are being addressed.

Base Salary: $140,000 – $145,000/Annually

Responsibilities and Duties:

  • Cleansing, organizing, and translating large amounts of data in variety of file formats, including but not limited to digital asset transactions and other data supporting detection of tax non-compliance
  • Loading data to SAP IQ and Oracle databases manually and automatically
  • Focused data curation, or similar arrangement, to promote data ingestion, integration, quality and efficiency of access
  • Expanding reporting methodology to include other data compilation, visualization and analysis needs of Criminal Investigation and civil IRS business units
  • Automation of certain routine criminal investigative tasks to promote efficiency and secure data access from systems-of-record and other IRS information systems and data sources. Integration with other automation systems, including but not limited to Robotic Process Automation and IRS Systems of Record
  • Criminal investigation case-level document compilation, indexing, searching, and analytics using named entity recognition or similar natural language processing tools and rendering the information in a dashboard format incorporating data visualization, analytics, and AI-supported data management and interpretation tools

Qualifications:

  • Master’s Degree in related field
  • 15 or more years of job-related experience
  • Ph.D. in a directly related subject may substitute for up to two years of experience.

Benefits and Perks:

  • Medical / Vision and Dental Plans
  • Holiday and Personal Time Off Pay
  • 401K plan
  • Life Insurance
  • Education and Training Assistance Program (discussed during the onboarding process)
  • Incentive Plans and Referral Bonuses
  • Employee Assistance Programs

Crisis1, LLC is an equal opportunity employer and 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.

Job Summary

JOB TYPE

Full Time

SALARY

$126k-155k (estimate)

POST DATE

03/20/2024

EXPIRATION DATE

04/26/2024

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The job skills required for Data Engineer include Agile, Data Analytics, etc. Having related job skills and expertise will give you an advantage when applying to be a Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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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.

Quotes from people on Data Engineer job description and responsibilities

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

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A data engineer prepares data for analytical or operational uses.

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Data engineers simplify complex data structure and prevent the reduplication of data.

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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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