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Data Jobs (NOW HIRING)

Mid- Level Data Engineer

Denver, CO · On-site

$117K - $141K/yr

About Vantage Data Centers Vantage Data Centers powers, cools, protects and connects the technology of the world's well-known hyperscalers, cloud providers and large enterprises. Developing and ...

Data Entry Remote Work

Fort Smith, AR · On-site

$14.50 - $19.50/hr

Data Entry Remote Work Fort Smith, AR, United States Job Openings Data Entry Remote Work A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

Data Entry Remote Work

Avondale, AZ · On-site

$17.75 - $23.50/hr

Data Entry Remote Work Avondale, AZ, United States Job Openings Data Entry Remote Work A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

Data Entry Remote Work

Glendale, AZ · On-site

$15.50 - $20.50/hr

Data Entry Remote Work Glendale, AZ, United States Job Openings Data Entry Remote Work A Data Entry Clerk, is responsible for inputting data and making changes to existing data figures in digital ...

Data Engineer - ONSITE

Butler, IN · On-site

$117K - $140K/yr

A newly formed data engineering team is expanding, and we're looking for a highly capable Data Engineer to help build the shared data environment supporting multiple manufacturing facilities. This ...

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

With over 150 data centers across more than 20 countries globally, we offer unparalleled opportunities to work on cutting-edge technology and transformative projects. Experience a collaborative ...

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DATA information

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$46K

$165K

$243.5K

How much do data jobs pay per year?

As of Jul 14, 2026, the average yearly pay for data in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What do data jobs do?

Data jobs involve collecting, analyzing, and interpreting data to help organizations make informed decisions. Roles such as data analysts and data scientists use tools like SQL, Python, or R to process large datasets and generate insights. These jobs often require strong analytical skills and knowledge of data management and visualization techniques.

What are data jobs?

Data jobs refer to roles that involve collecting, processing, analyzing, and interpreting data to support business decisions or research. These jobs can include positions such as data analyst, data scientist, data engineer, and database administrator. Professionals in this field use statistical techniques, programming, and data visualization tools to derive insights from large datasets. Data jobs are in high demand across various industries, including finance, healthcare, technology, and marketing.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a solid foundation in mathematics, typically supported by a degree in a quantitative field. Familiarity with data analysis tools like Excel, SQL, Python, and visualization platforms such as Tableau or Power BI is often required, and certifications in these tools can be advantageous. Attention to detail, critical thinking, and effective communication skills help analysts interpret data accurately and present actionable insights to stakeholders. These skills are crucial for transforming raw data into meaningful information that drives informed business decisions.

How does a Data Analyst typically collaborate with other departments within an organization?

Data Analysts frequently work cross-functionally, partnering with teams such as marketing, finance, operations, and product development. They gather requirements from stakeholders, interpret data to provide actionable insights, and often present findings in meetings or reports tailored to the audience's needs. Effective communication is key, as analysts must translate complex data into clear, impactful recommendations that guide business decisions. This collaborative environment fosters both learning and professional growth, as Data Analysts gain exposure to various business functions.

What Are Different Jobs That Work With Data?

Many different jobs require you to work with data. Occupational health and safety engineers, for instance, assess safety data collected by technicians and specialists and then design new processes to mitigate observed risks. Many careers in medical research, such as running clinical trials or developing new pharmaceuticals, require data collection and analysis. A large number of government labor and economic forecasting positions employ statisticians who analyze and model data based on surveys or raw information, such as the census or employment records.

What is the definition of data?

Data in a data-related job refers to raw, unprocessed facts and figures collected for analysis, decision-making, or processing. It can include numbers, text, images, or other information stored and managed using tools like databases and data analysis software. Understanding data is essential for tasks such as data cleaning, interpretation, and reporting.

What are careers in data?

Careers in data include roles such as data analyst, data scientist, data engineer, and database administrator. These jobs involve collecting, analyzing, and interpreting data to support decision-making, often requiring skills in programming, statistics, and data visualization tools like SQL, Python, or R.

What is the difference between Data vs Data Analyst?

AspectDataData Analyst
Required CredentialsTypically a degree in computer science, information technology, or related fieldsSame as Data, often requiring a degree in statistics, data science, or related areas
Work EnvironmentData professionals work in IT, data engineering, or database management settingsData analysts work in business, finance, marketing, and similar industries analyzing data for insights
Employer & Industry UsageUsed across tech, finance, healthcare, and more for data management and infrastructureCommonly employed in business sectors to interpret data and support decision-making

Data professionals focus on managing, storing, and processing data, while Data Analysts interpret and analyze data to generate insights. Both roles require similar educational backgrounds but differ in their primary functions within organizations.

What skills are needed for data jobs?

Data jobs typically require strong analytical skills, proficiency in programming languages such as Python or R, and knowledge of database management and SQL. Familiarity with data visualization tools like Tableau or Power BI and understanding of statistical methods are also important. Additionally, problem-solving abilities and attention to detail are essential for success in this field.

What are the 4 types of data?

In data-related jobs, the four main types of data are structured data, which is organized in databases and spreadsheets; unstructured data, such as emails, videos, and social media content; semi-structured data, like XML or JSON files that have some organization; and metadata, which provides information about other data. Understanding these types helps data professionals manage, analyze, and interpret data effectively using tools like SQL, Python, or data visualization software.

What is data on my phone?

Data on your phone refers to the digital information stored or transmitted by your device, including apps, files, and internet activity. For a data-related job, understanding how data is collected, managed, and secured is essential, often involving skills in data analysis, database management, and cybersecurity. Managing phone data may also require knowledge of mobile operating systems and data privacy practices.

What are the synonyms of data?

For a data analyst or data scientist, synonyms of data include information, figures, statistics, metrics, and records. These terms are often used interchangeably depending on the context and type of data being handled, and familiarity with data management tools like SQL or Excel can aid in working with these concepts.

What jobs pay 500,000 a year in the US?

High-paying jobs that can reach or exceed $500,000 annually include roles such as senior investment bankers, hedge fund managers, specialized surgeons, and top executives like CEOs and CFOs. These positions often require extensive experience, advanced degrees, and strong industry networks, with compensation frequently including bonuses and stock options.
What cities are hiring for Data jobs? Cities with the most Data job openings:
What are the most commonly searched types of Data jobs? The most popular types of Data jobs are:
What states have the most Data jobs? States with the most job openings for Data jobs include:
Infographic showing various Data job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Remote Data Engineer - & Modeler Informatica

Remote Data Engineer - & Modeler Informatica

NTT DATA Services

Plano, TX • On-site, Remote

$121K - $224K/yr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 7 days ago


NTT Data rating

7.4

Company rating: 7.4 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

107th of 210 rated it services


Job description

Req ID: 378301 

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.

We are currently seeking a Remote Data Engineer - & Modeler Informatica to join our team in Plano, Texas (US-TX), United States (US).

Role Overview
We are seeking an Intermediate-Level Data Engineer & Data Modeler to focus on designing, building, and maintaining data pipelines and data models that enable scalable, high-quality data products across the organization.

Key Responsibilities
Data Engineering & Pipeline Development
   Design, build, and maintain ETL/ELT data pipelines for data ingestion and transformation
   Develop data integration workflows to support enterprise analytics
   Implement scalable data processing frameworks and automation pipelines
   Monitor pipeline execution and ensure data availability and reliability

Data Modeling & Design
   Design logical and physical data models to support business requirements
   Define data structures, relationships, and schemas across domains
   Develop standardized data layers (e.g., Bronze/Silver/Gold)
   Collaborate with stakeholders on data mappings and business logic

Data Integration & Quality
   Perform source-to-target mapping and transformation design
   Implement data quality checks and validation rules
   Maintain data lineage, metadata, and documentation
   Support integration of enterprise data sources

Production Support & Optimization
   Provide L2/L3 support for data pipelines
   Monitor and optimize pipeline performance
   Perform root cause analysis and issue resolution
   Support job scheduling and error handling processes

Collaboration & Delivery
   Work with data architects, analysts, and BI teams
   Translate business requirements into technical solutions
   Support data platform modernization initiatives
   Participate in Agile processes such as sprint planning and code reviews

Basic Qualifications
   6+ years of experience in Data Engineering and/or Data Modeling
   6+ years of experience building and maintaining enterprise data pipelines
   6+ years of experience working with large, complex datasets

Technical Skills
   Strong SQL and data modeling expertise
   Experience with ETL/ELT tools (Informatica, DataStage, ADF, etc.)
   Experience with Python, Spark, or similar frameworks
   Familiarity with platforms such as Snowflake, Databricks, or Azure Data Lake
   Knowledge of pipeline orchestration and integration patterns

Preferred Qualifications
   Experience with Azure-based data platforms
   Exposure to data governance and metadata management tools
   Experience in healthcare or regulated environments
   Experience supporting data modernization initiatives

Key Success Metrics
   Reliable and timely pipeline execution
   High-quality data models supporting analytics
   Improved data quality and reduced errors

NTT DATA provides a reasonable range of compensation for U.S.-based positions. The starting pay range for this role is $121,162 - $224,375 per year. Actual compensation will depend on a number of factors, including the candidate's relevant experience, technical skills, and other qualifications. This position may also be eligible for incentive compensation based on individual and/or company performance.

This position is eligible for company benefits including medical, dental, and vision insurance with an employer contribution, flexible spending or health savings account, life and AD&D insurance, short and long term disability coverage, paid time off, employee assistance, participation in a 401k program with company match, and additional voluntary or legally-required benefits.

#LaunchJobs #LI-NorthAmerica #LaunchEngineering

About NTT DATA

NTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.

Whenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client's needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.

NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.


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About NTT DATA

Sourced by ZipRecruiter

NTT DATA Services is a global business and IT services provider specializing in digital, cloud and automation across a comprehensive portfolio of consulting, applications, infrastructure and business process services. We are part of the NTT family of companies, a partner to 85 % of the Fortune 100.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Plano, TX, US

Year founded

1967