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Remote Data Optimization Jobs in Texas (NOW HIRING)

Data Platform Engineer

Austin, TX · On-site +1

$135K - $155K/yr

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Taking full responsibility for uptime and optimization * Collaborating proactively across ...

Are you excited to work with a high-trust, remote-first team committed to service, clarity, and ... Taking full responsibility for uptime and optimization * Collaborating proactively across ...

SQL (advanced queries and optimization) * BI tools (Tableau, Power BI w/ DAX & PowerQuery, Looker ... Position is remote within US * Minimal travel * Limited physical demands This is an incredible ...

AWS Data Architect (Remote)

Irving, TX · Remote

$62.25 - $81.50/hr

Remote POSITION SUMMARY : We are seeking a AWS Data Architect to oversee enterprise data platform ... and optimization. This role works closely with business stakeholders, data engineers and ...

AWS Data Architect (Remote)

Irving, TX · On-site +1

$62.25 - $81.50/hr

Remote POSITION SUMMARY : We are seeking a AWS Data Architect to oversee enterprise data platform ... and optimization. This role works closely with business stakeholders, data engineers and ...

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Deep expertise in Delta Lake, including performance optimization and data lifecycle management

Data Architect, Databricks

Irving, TX · On-site +1

$61.25 - $78.75/hr

... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ... Deep expertise in Delta Lake, including performance optimization and data lifecycle management

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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.
Technical Manager - Artificial Intelligence, Data Architecture & Analytics

Technical Manager - Artificial Intelligence, Data Architecture & Analytics

Quorum Software

Houston, TX • On-site, Remote

Full-time

Posted 20 days ago


Job description

Technical Manager – Artificial Intelligence, Data Architecture & Analytics

Location: Houston, Texas or US Remote

Model of Work: Hybrid if located in Houston, TX or Remote with Travel if the work location is US – Remote

Are you excited by challenges? Do you enjoy working in a fast-paced, international and dynamic environment? Then now is the time to join Quorum Software, a rapidly growing company and industry leader in oil & gas transformation.

Quorum Software is the world's largest provider of digital technology focused solely on business workflows that empower the next evolution of energy. From emerging companies to supermajors, throughout every region of the globe, customers rely on Quorum's proven innovation and unmatched global expertise to streamline business operations and make data-driven decisions that optimize profitability and growth. Our industry-leading solutions are transforming energy companies across the entire value chain, helping visionary leaders evolve their organizations into modern energy companies.

Overview

The Technical Manager, Artificial Intelligence, Data Architecture & Analytics will lead the architecture, operations, and advancement of Quorum’s enterprise data, analytics, and AI capabilities. This role oversees platforms including Databricks, Azure Data Factory, Power BI, Tableau, SQL, and related AI/ML technologies that enable enterprise reporting, predictive analytics, and business process optimization.

This role is responsible for aligning business processes with data-driven and AI-enabled insights, ensuring Quorum’s enterprise data warehouse and analytics platforms deliver measurable business value. The Technical Manager will oversee data pipelines, semantic models, dashboards, and AI-based analytics solutions while driving predictive and intelligent analytics capabilities to support smarter business decisions across Finance, Sales, Operations, and other global business functions.

This role plays a critical part in advancing Quorum’s digital transformation by enabling trusted data, scalable analytics, and practical AI solutions that empower operational excellence across global teams.

This position is ideal for a technically hands-on leader who can connect artificial intelligence, data architecture, analytics, and business process improvement to deliver actionable intelligence and measurable outcomes.

Responsibilities

Artificial Intelligence & Predictive Analytics

  • Lead the development and implementation of AI-enabled analytics solutions that support forecasting, pattern recognition, anomaly detection, and predictive business insights.
  • Identify opportunities to apply AI, machine learning, and automation to improve decision-making across Finance, Sales, Operations, and other enterprise functions.
  • Partner with business stakeholders to translate business challenges into scalable AI and analytics use cases.
  • Evaluate, prototype, and guide the adoption of AI/ML frameworks, tools, and methods that align with enterprise data strategy.
  • Ensure AI and predictive analytics solutions are practical, explainable, maintainable, and aligned with business value.

Data Architecture & Engineering

  • Own and maintain the technical architecture of Quorum’s Enterprise Data Warehouse, including Databricks, Azure Data Factory, SQL, and related data technologies.
  • Design and implement scalable data models that represent business processes, operational metrics, and enterprise performance indicators.
  • Manage data ingestion pipelines from systems such as Salesforce, NetSuite, Workday, and other enterprise platforms.
  • Ensure reliability, scalability, security, and cost optimization of data pipelines and infrastructure.
  • Define and enforce standards for data quality, refresh cadence, data governance, model performance, and platform reliability.
  • Partner with Enterprise Architecture and Security teams to ensure data solutions align with enterprise standards, compliance requirements, and security best practices.

Analytics & Business Process Enablement

  • Translate business workflows into analytical models, dashboards, and visualizations that drive insight, accountability, and action.
  • Manage and optimize Power BI and Tableau workspaces, ensuring accurate, timely, and consistent reporting delivery.
  • Collaborate with business teams to build dashboards that monitor performance, revenue, renewals, churn, bookings, and other key business metrics.
  • Align analytics design with operational processes to ensure business users can make timely, data-informed decisions.
  • Deliver and maintain core dashboards and reporting assets such as Master FP&A, SARR, and Executive Bookings Reporting.
  • Establish scalable semantic models and reporting standards that improve consistency, usability, and trust in enterprise analytics.

Team Leadership

  • Lead and mentor a distributed team of data engineers, BI developers, and analytics professionals.
  • Oversee sprint planning, task prioritization, delivery timelines, and quality control for team deliverables.
  • Promote continuous learning around AI, advanced analytics, data automation, data architecture, and visualization techniques.
  • Provide technical guidance and hands-on support to ensure high-quality design, development, testing, and deployment practices.
  • Foster a culture of accountability, collaboration, curiosity, and continuous improvement.
  • Serve as a strategic thinker who understands the business and can translate complex data and technology concepts into actionable business insight.

Cross-Functional Collaboration

  • Partner with Enterprise Architecture, Security, IT, and business teams to align standards, compliance, governance, and data integrity.
  • Work closely with stakeholders across Finance, Sales, Operations, and other functions to understand needs and translate them into technical solutions.
  • Act as the technical bridge between raw data, AI-enabled insights, and business value realization.
  • Communicate complex technical concepts clearly to both technical and non-technical audiences.
  • Support enterprise digital transformation initiatives through trusted data, scalable analytics, and practical AI adoption.
  • And other duties as assigned.

Requirements

  • Bachelor’s degree in Computer Science, Information Systems, Data Science, Analytics, Engineering, or a related field.
  • 5+ years of combined experience in data architecture, data engineering, analytics, business intelligence, or AI/ML-enabled analytics.
  • 2+ years of experience leading technical teams, projects, or delivery efforts.
  • Proven experience with Azure Data Factory, Databricks, Power BI, Tableau, and SQL.
  • Strong understanding of data modeling, semantic models, dimensional design, and enterprise data warehouse architecture.
  • Hands-on experience with AI/ML frameworks, predictive analytics, or applied machine learning use cases.
  • Experience designing and operationalizing data pipelines, dashboards, analytical models, and enterprise reporting solutions.
  • Strong business acumen with the ability to connect technical solutions to measurable business outcomes.
  • Excellent problem-solving, documentation, and communication skills, with the ability to bridge technical and business discussions.
  • Experience in agile delivery environments and version-controlled development, such as Git and Azure DevOps.
  • Ability to manage competing priorities in a fast-paced, global environment while maintaining a focus on quality, scalability, and business value.

Additional Details

  • Salary commensurate with experience ($135,000 - $185,000 US Dollars) with bi-weekly pay via direct deposit. Posted salary ranges are made in good faith. Quorum Software reserves the right to adjust ranges depending on the qualifications, experience, training, work history, and geographic location of the selected candidate.
  • Background Check: The successful candidate will need to successfully complete the following clearances: Criminal History Check, Education Verification, Employment Verification, Driver’s License Verification and passport/ID validation.
  • Visa Sponsorship: Employment eligibility to work with Quorum Software in the United States is required as the company will not pursue visa sponsorship for this position. The successful candidate will be required to ensure they maintain and renew any visas or permits that grant employment eligibility where applicable.

About Quorum Software
Quorum Software connects people and information across the energy value chain. Twenty years ago, we built the first software for gas plant accountants. Pipeline operators came next, followed by land administrators, pumpers, and planners. Since 1998, Quorum has helped thousands of energy workers with business workflows that optimize profitability and growth. Our vision for the future connects the global energy ecosystem through cloud-first software, data standards, and integration. The trusted source of decision-ready data for 1,800+ companies, Quorum Software makes the essential connections that let us work better together in the connected energy workplace. For more information, visit quorumsoftware.com.

Quorum Diversity Statement:At Quorum, we are committed to fostering, cultivating, and preserving a culture of belonging. We want to be the place where a diverse pool of talented people join us, stay with us and do their best work. With a diverse team of employees, we grow and learn better together. The collective sum of the individual differences, life experiences, knowledge, innovation, self-expression, and talent that our employees invest in their work represents not only part of our culture, but our reputation and our achievements. We are fully focused on equity and equality and believe deeply in diversity of race, gender, sexual orientation, age, religion, ethnicity, national origin, ability, neurodiversity and all the other characteristics that make us unique.

Quorum Business Solutions and Quorum Software are Equal Opportunity Employers. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, ancestry, veteran status, disability, genetic information, or any other basis protected by law.

Those applicants requiring reasonable accommodation to the application and/or interview process should notify a member of the Human Resources Department

Our company uses E-Verify to confirm the employment and eligibility of all newly hired employees. To learn more about E-Verify, including your rights and responsibilities, please visit www.dhs.gov/E-Verify.