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Data En Jobs in Raleigh, NC (NOW HIRING)

krg technology inc

Service Now Developer

Cary, NC · On-site

$50 - $68.75/hr

... and data flow within various domains Experience with Web technologies/AJAX Developing Composite ... EN business in creation of proposals to drive Service improvement plans. (4.) To provide support ...

krg technology inc

Service Now Admin

Cary, NC · On-site

... and data flow within various domains Experience with Web technologies/AJAX Developing Composite ... EN business in creation of proposals to drive Service improvement plans. (4.) To provide support ...

krg technology inc

Service Now Admin

Cary, NC · On-site

... and data flow within various domains Experience with Web technologies/AJAX Developing Composite ... EN business in creation of proposals to drive Service improvement plans. (4.) To provide support ...

Cortica

Behavioral Interventionist

Cary, NC · On-site

$20.08 - $26.94/hr

Document session data to track and support treatment goals. * Collaborate closely with families and ... Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aqui para ver ...

Cortica

Behavioral Interventionist

Cary, NC · On-site

$20.08 - $26.94/hr

Document session data to track and support treatment goals. * Collaborate closely with families and ... Este empleador participa en E-Verify. Este empleador participa en E-Verify. Haga clic aquí para ...

MI FAMILIA VOTA

Field Manager

Raleigh, NC

Mi Familia Vota (MFV) and Mi Familia en Acción (MFA) are national Latino-led civic engagement ... Design and standardize best practices for data management across all platforms, including door-to ...

Charter Schools USA

EC Coordinator

Wendell, NC · On-site

Compile and review comprehensive evaluation data required to determine the appropriate eligibility of individual exceptional students. * Assure confidentiality of any personally identifiable data.

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Showing results 1-20

All JobsData En JobsData En Jobs in Raleigh, NC

Data En information

What is the difference between Data En and Data Analyst?

AspectData EnData Analyst
Required CredentialsBachelor's in Engineering, Computer Science, or related field; sometimes certifications in data toolsBachelor's in Statistics, Mathematics, or related field; often certifications in data analysis tools
Work EnvironmentTechnical teams, engineering projects, product developmentBusiness units, reporting, data interpretation
Employer & Industry UsageTech companies, manufacturing, engineering firmsFinance, marketing, healthcare, consulting
Common Search & ComparisonData En vs Data AnalystData Analyst

Data Engineers (Data En) focus on building and maintaining data pipelines, infrastructure, and architecture. Data Analysts interpret data, generate reports, and support decision-making. While both roles work with data, Data En roles are more technical and infrastructure-oriented, whereas Data Analysts focus on analysis and insights.

What are some common challenges faced by Data Engineers when working with large-scale data pipelines?

Data Engineers often encounter challenges such as ensuring data quality, maintaining pipeline reliability, and optimizing performance when dealing with large-scale data pipelines. Managing data from multiple sources can introduce inconsistencies or errors, so strong validation and monitoring practices are essential. Additionally, scaling pipelines to handle increasing data volumes while minimizing downtime requires a solid understanding of distributed systems and automation tools. Collaboration with data scientists, analysts, and IT teams is also critical to ensure that data infrastructure meets business needs.

What careers are there in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These positions typically require skills in programming, statistics, and data management tools like SQL, Python, or R, and often involve working with large datasets to support decision-making and business strategies.

How can I make $2000 a week working from home?

Data entry jobs can offer remote work opportunities that, with consistent effort and high-volume tasks, potentially generate around $2000 weekly. Success depends on accuracy, speed, and access to platforms that pay competitive rates; developing strong typing skills and using productivity tools can improve earning potential.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain systems and infrastructure for collecting, storing, and analyzing large sets of data. They develop data pipelines and architectures to ensure that raw data is accessible, reliable, and ready for analysis by data scientists and other stakeholders. Data Engineers work with a variety of tools and technologies, such as databases, big data platforms, and programming languages, to enable efficient and scalable data processing.

Is data entry well paid?

Data entry jobs typically offer hourly wages that are close to minimum wage or slightly above, depending on experience and location. While some positions can pay higher with specialized skills or certifications, overall, data entry is considered a lower to moderate paying job compared to other roles in the tech or administrative fields.

What are the key skills and qualifications needed to thrive as a Data Engineer, and why are they important?

To thrive as a Data Engineer, you need strong programming skills (typically in Python, Java, or Scala), a solid understanding of database management, and a background in computer science or a related field. Familiarity with tools like SQL, Hadoop, Spark, and cloud platforms such as AWS or Azure, along with relevant certifications, is highly valuable. Analytical thinking, problem-solving abilities, and effective communication set standout professionals apart in this role. These skills are crucial for building reliable data infrastructure, enabling efficient data flow, and supporting data-driven decision-making across organizations.

What jobs are there in data?

Jobs in data include data analyst, data scientist, data engineer, data architect, and business intelligence analyst. These roles involve working with data collection, processing, analysis, and visualization using tools like SQL, Python, R, and data visualization software, often requiring strong analytical skills and knowledge of databases and programming.
Data En jobs near you
Product Safety and Compliance Engineer

Product Safety and Compliance Engineer

VIVA USA INC

Fuquay Varina, NC • On-site

Contractor

Posted 13 days ago

Job description

Product Engineer I-Product Safety and Compliance
Your Responsibilities;
As a Product Safety and Standards Engineer for the client Turf Compact Utility
Gather data from test labs, product engineering teams, and others in support of safety and compliance activities.
Prepare compliance documentation for commercial mowing, golf, and other products.
Create and maintain test activity template records
Work with third-party companies to gather information on market entry requirements
What Skills You Need;
Effective verbal and written communication skills; ability to tailor communications to audience
Skills in managing multiple simultaneous projects
Able to coordinate efforts and develop consensus recommendations
Able to review, understand, and explain requirements from standards and/or regulations
What Makes you stand out
Knowledge and familiarity of engineering concepts related to mobile off-road machinery
Familiarity with regulations and standards, including but not limited to: EN, IEC, ISO, SAE, UL
Education:
Ideally you will have a degree or equivalent related work experience in the following: Bachelors or Masters Degree in Electrical Engineering, Mechanical Engineering, Agricultural Engineering or equivalent experience
Notes:
1st shift: Core hours 8am-4pm
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.

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