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Remote Data Optimization Jobs in Texas (NOW HIRING)

About Us: * Customer Experience Analyst - REMOTE PTP is a fast-growing system integrator that ... Analysis and Data Optimization: Analyze large datasets and conversational call flows to uncover ...

Manager, Optimization

Dallas, TX · Remote

$105K - $138K/yr

This role involves cross-functional collaboration, data-driven analysis, and strategic thinking to ... This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully ...

Manager, Optimization

Dallas, TX · Remote

$105K - $138K/yr

This is a remote position, open to candidates who reside in: Dallas, Texas. You will be fully ... Experience using data and metrics to drive improvements in programs * Experience / background in a ...

Siege Media is a growing and remote-first GEO agency! We are nationally recognized on Inc.'s Best ... Ability to analyze data and make impactful recommendations across on-page, off-page, and technical ...

Develop metrics and KPIs to evaluate marketing impact - analyze data to optimize strategies, inform ... Experience driving high-performance culture and team health across distributed or remote teams.

Develop metrics and KPIs to evaluate marketing impact analyze data to optimize strategies, inform ... Experience driving high-performance culture and team health across distributed or remote teams.

Develop metrics and KPIs to evaluate marketing impact -- analyze data to optimize strategies ... Experience driving high-performance culture and team health across distributed or remote teams.

Optimization (Linear programming, Stochastic Gradient Descent, Genetic Algorithm etc.) * Experience ... Remote Support * Guaranteed Regular Salary Reviews * Job Type: W2 or Contract 1099 (full-time - 40 ...

... optimization, and other utility program offerings. * Responsibilities may include remote data analysis, desktop engineering review, savings calculations, measure validation, economic analysis ...

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Remote Data Optimization information

What is a Remote Data Optimization specialist?

A Remote Data Optimization specialist is a professional who works remotely to analyze, refine, and improve data systems and processes for organizations. Their main goal is to enhance the efficiency, accuracy, and usability of data, often by cleaning datasets, streamlining data flows, and implementing best practices for data management. They may use various tools and techniques to ensure data integrity and improve how data is stored, accessed, and utilized. These specialists often collaborate with data analysts, engineers, and business teams to support data-driven decision-making.

What is a data optimization job example?

A data optimization job involves analyzing and improving data quality, structure, and storage to enhance efficiency and accuracy. For example, optimizing database queries or cleaning large datasets using tools like SQL or Python helps organizations make better data-driven decisions.

What is the highest paying job in data?

In data-related fields, roles such as Chief Data Officer, Data Science Director, and Machine Learning Engineer tend to have the highest salaries, often exceeding six figures annually. These positions typically require advanced skills in data analysis, machine learning, and leadership, along with relevant certifications and experience.

What are some common challenges faced by professionals in remote data optimization roles, and how can they be addressed?

Remote data optimization professionals often encounter challenges such as coordinating with distributed teams, ensuring data accuracy across different systems, and managing time effectively without in-person supervision. To address these, it's important to establish clear communication channels, use collaborative tools for data sharing and project tracking, and set regular check-ins with team members. Additionally, staying updated on best practices and automation tools can help streamline workflows and enhance data quality, making remote work more efficient and productive.

Is it possible to get a remote job as a data analyst?

Yes, remote data analyst positions are widely available across various industries. These roles typically require skills in data analysis tools like Excel, SQL, or Python, and often involve working with cloud-based platforms or collaboration tools. Many companies offer remote work options for data analysts, especially with experience in data visualization and reporting.

Is 40 too late for data science?

Remote Data Optimization roles often value skills and experience over age, and many professionals transition into data science later in their careers. Learning relevant tools like Python, SQL, and machine learning can help, and continuous education or certifications can improve job prospects regardless of age.

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

To excel as a Remote Data Optimization Specialist, you need a solid background in data analysis, strong proficiency in statistics, and experience with optimization techniques, typically supported by a degree in data science, mathematics, or a related field. Familiarity with data visualization tools (like Tableau or Power BI), programming languages (such as Python or R), and database systems is commonly required. Strong problem-solving abilities, attention to detail, and effective communication skills set top performers apart in this role. These competencies are vital for translating complex data into actionable insights and driving efficiency improvements from a remote environment.

What is the difference between Remote Data Optimization vs Remote Data Analyst?

AspectRemote Data OptimizationRemote Data Analyst
Primary FocusImproving data storage, retrieval, and processing efficiencyAnalyzing data to identify trends and generate reports
Required SkillsData management, database tuning, scriptingData analysis, visualization, statistical skills
CertificationsDatabase certifications, data management credentialsData analysis certifications, SQL proficiency
Work EnvironmentTechnical teams, IT departments, data warehousesBusiness units, marketing, finance teams

Remote Data Optimization specialists focus on enhancing data systems' performance, while Remote Data Analysts interpret data to support decision-making. Both roles require strong technical skills, but their core responsibilities differ significantly, making them distinct career paths within data management and analysis.

What are the most commonly searched types of Data Optimization jobs in Texas? The most popular types of Data Optimization jobs in Texas are:
What are popular job titles related to Remote Data Optimization jobs in Texas? For Remote Data Optimization jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Remote Data Optimization jobs in Texas look for? The top searched job categories for Remote Data Optimization jobs in Texas are:
What cities in Texas are hiring for Remote Data Optimization jobs? Cities in Texas with the most Remote Data Optimization job openings:
Infographic showing various Remote Data Optimization job openings in Texas as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution.
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

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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