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Remote Azure Data Factory Jobs in Spring, TX (NOW HIRING)

Senior Data Engineer

Houston, TX · Remote

$101K - $137K/yr

Retrieve data from cloud applications using Azure SQL and build a centralized data lake integrating ... Prior law firm or professional services experience beneficial. #LI-Remote The Firm will comply with ...

Strong Azure cloud experience. * Python/PySpark, Java programming. * Experience building UI with ... Build MLOps pipelines for structured/unstructured data. * Implement observability, monitoring, and ...

Assess customer-specific requirements and recommend approaches for performance optimization, data ... Working knowledge of cloud-native environments (AWS, Azure, or GCP) and containerized deployments ...

Industry X Advisor - Technical Architect

Houston, TX · On-site +1

$63.25 - $76.50/hr

Help shaping repeatable Factory Data Foundation and Agentic Factory AI & Analytics offerings ... In this context, the candidate should have experience of working with the related Microsoft Azure ...

AI Architect Lead

Houston, TX · Remote

$45 - $50/hr

Houston TX or US Remote Duration: 6 months Skills: AI and Automation AI Agents Experience Required ... Strong understanding of LLM ecosystems including OpenAI, Claude, ChatGPT Enterprise, Azure OpenAI ...

Architect - Solutions

Houston, TX · Remote

$55.50 - $73/hr

Design end-to-end enterprise data and analytics solutions leveraging Incorta, Azure cloud services ... Creative thinking outside of the box is preferred. #LI-JB1 #LI-REMOTE This amount is what we ...

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Remote Azure Data Factory information

See Spring, TX salary details

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How much do remote azure data factory jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote azure data factory in Spring, TX is $51.97, according to ZipRecruiter salary data. Most workers in this role earn between $47.07 and $58.41 per hour, depending on experience, location, and employer.

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

To thrive as a Remote Azure Data Factory Engineer, you need strong expertise in data integration, ETL processes, and cloud-based data solutions, typically supported by experience in Microsoft Azure and a relevant technical degree. Proficiency in Azure Data Factory, SQL, Power BI, and familiarity with other Azure services or certifications (such as Azure Data Engineer Associate) is highly beneficial. Excellent problem-solving, communication, and time management skills are crucial for effective remote collaboration and troubleshooting. These competencies ensure efficient data pipeline development, seamless data flow, and the ability to deliver robust analytics solutions in distributed environments.

What are some common challenges faced by remote Azure Data Factory professionals, and how can they be addressed?

Remote Azure Data Factory professionals often encounter challenges related to communication and collaboration, especially when integrating data from multiple sources across different teams. To address this, it's essential to establish clear documentation practices, utilize collaboration tools such as Microsoft Teams, and schedule regular check-ins with stakeholders. Additionally, proactively managing data pipeline failures and ensuring security compliance in a remote setting requires strict adherence to best practices and close coordination with IT and security teams. Building a strong support network and maintaining open lines of communication are key to overcoming these challenges and succeeding in the role.

What is the difference between Remote Azure Data Factory vs Remote Data Engineer?

AspectRemote Azure Data FactoryRemote Data Engineer
CredentialsAzure certifications, data integration skillsData engineering certifications, cloud platform knowledge
Work EnvironmentCloud-based, primarily using Azure platformCloud and on-premises environments, broader tech stack
Industry UsageData integration, ETL workflows in AzureData pipeline development, database management
Search & Comparison IntentFocus on specific tool (Azure Data Factory)Broader data engineering roles

Remote Azure Data Factory specialists focus on designing and managing data workflows within the Azure platform, often requiring specific certifications. Remote Data Engineers have a broader scope, building and maintaining data pipelines across various environments. While both roles involve data integration, Azure Data Factory roles are more tool-specific, whereas Data Engineers encompass a wider range of technologies and responsibilities.

What is a Remote Azure Data Factory professional?

A Remote Azure Data Factory professional is an IT specialist who designs, builds, and manages data integration solutions using Microsoft Azure Data Factory while working from a remote location. They create and manage data pipelines to move and transform data between various sources and destinations in the cloud. These professionals often collaborate with data engineers, analysts, and business stakeholders to ensure data is accessible, secure, and reliable for analytics and reporting needs.
What job categories do people searching Remote Azure Data Factory jobs in Spring, TX look for? The top searched job categories for Remote Azure Data Factory jobs in Spring, TX are:
What cities near Spring, TX are hiring for Remote Azure Data Factory jobs? Cities near Spring, TX with the most Remote Azure Data Factory job openings:
Technical Manager - Artificial Intelligence, Data Architecture & Analytics

Technical Manager - Artificial Intelligence, Data Architecture & Analytics

Quorum Software

Houston, TX • On-site, Remote

Full-time

Posted 18 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.