4 Data Engineer Jobs in Honolulu, HI
JMark Services Inc is Hiring a Data Engineer Near Honolulu, HI
Location: Honolulu, HI
The United States Army Pacific Command (USARPAC) is the theater army assigned as the Army Service Component Command (ASCC) to the United States Indo-Pacific Command (USINDOPACOM). USARPAC provides continuous oversight and control of Army operations throughout the Indo-Pacific theater and has jurisdiction over Army forces serving in Hawaii (HI), Alaska (AK), the Pacific Ocean, South Korea, and Japan. USARPAC provides United States Code (U.S.C.) Title 10 support to USARPAC forces and personnel within the theater and is the Joint Forces Land Component Commander (JFLCC) to USINDOPACOM.
- Configure and ingest designated structured, unstructured, and semi-structured data repositories.
- Design, implement, and manage databases and data delivery systems for insights, analysis, and reporting.
- Apply expertise in database design and implementation tools, such as entity-relationship data modeling and SQL, distributed computing architectures, operating systems, storage technologies, memory management and networking.
- Perform streaming and batch data processing, ETL, data wrangling, data ingest, and data access.
- Desired Experience: Minimum 3 years of experience related to computer science tasks and experience with at least a portion of the experience within the last 2 years.
- Desired Education: Master’s Degree in an area related computer science or other similar technical area from an accredited college or university:
- Bachelor’s degree related to computer science or other similar technical area from an accredited college or university along with an additional 5 years of related experience, for a total of 17 years, in substitution for a Master’s degree.
- Proven skills in data visualization and use of graphical applications, including Microsoft Office (Power BI) and Tableau
- Working familiarity with major data science languages, such as R and Python
- Experience merging disparate data sources, preferably through R, Python, or SQL
- Must have prior experience with large data multi-INT analytics, ML, and automated predictive analytics tools.
- Ability to work independently and with minimal oversight.
- Proven skills and tools usage to produce timely, logical, and concise analytic reports, documents, assessments, studies, and briefing materials in formats including Microsoft Office tools (e.g. Excel, Word, PowerPoint, etc.), electronic / soft copy matrices and / or web-enabled formats.
- Able to communicate complex issues both verbally and non-verbally
- Competent in developing structured research while obtaining, evaluating, organizing, and maintaining information within security and data protocols.
- Comprehensive mission knowledge and skills that affirms experiences to fully execute the tasks involved with data management for multi-INT operations, data analytics and related skills
- Ability to communicate comprehension and understanding from information that may be incomplete, indirect, highly complex, seemingly unrelated, and / or technically advanced.
- Able to structure analytical questions or address a range of analytic perspectives from other analysts, organizations, and intelligence disciplines.
- Proven skills to work collaboratively with other IC members on information sharing, data analysis, data products, driving collection, or addressing analytic differences
- Experienced in guiding teams researching multifaceted, technical or critical problems.
- While performing the duties of this position, the employee is regularly required to talk or hear.
- The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms.
- This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
Job Summary
Full Time
$118k-145k (estimate)
03/01/2024
07/01/2024
jmarkservices.com
Colorado Springs, CO
50 - 100
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The job skills required for Data Engineer include SQL, Python, Computer Science, Insight, Data Science, Data Processing, 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.
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.
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 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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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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