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Director Data Jobs in Spring, TX (NOW HIRING)

Direct Energy Business

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer role involves building and maintaining data pipelines and platforms for analytics ... Direct Energy Business is part of a leading energy and energy-related services provider that is ...

Atria Group LLC

Data Architect

Houston, TX · On-site

$61 - $78.25/hr

Accountable for the data architecture and design of the Data Management Program (DMP) Working with the IM Director, IM Program Manager and the Lead Architect to produce detailed architecture ...

Baths of America

Product Data Manager

Houston, TX · On-site

... Director manages the website, and our NetSuite Admin builds workflows and manages the ERP. What we are missing is someone who owns the product data itself: the person who defines what clean, complete ...

Baths of America

Product Data Manager

Houston, TX

Product Data Manager We have a large, complex product catalog and a small, capable e-commerce and IT team. Today, our Data Analyst handles scripted cleanup and pricing updates, our Ecommerce Director ...

Par Pacific

Data Analyst

Houston, TX · On-site

Reporting to the Director, Enterprise Data and Applications, you will be responsible for building, maintaining, and governing analytical data solutions that serve operational, commercial, and ...

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All JobsData JobsDirector Data JobsDirector Data Jobs in Spring, TX

Director Data information

See Spring, TX salary details

$46.3K

$114.4K

$178K

How much do director data jobs pay per year?

As of Jul 13, 2026, the average yearly pay for director data in Spring, TX is $114,374.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,600.00 and $145,500.00 per year, depending on experience, location, and employer.

What does a Director of Data do?

A Director of Data oversees an organization's data strategy, ensuring the effective collection, management, and use of data across departments. They lead data teams, set data governance policies, and work to align data initiatives with business goals. Their role includes managing data architecture, ensuring data quality and security, and supporting data-driven decision making. Directors of Data often collaborate with executives and IT teams to drive innovation and improve business outcomes through analytics and data insights.

What is the difference between Director Data vs Data Analyst?

AspectDirector DataData Analyst
Required CredentialsBachelor's or Master’s in Data Science, Computer Science, or related field; often leadership experienceBachelor's degree in related field; certifications like Microsoft Data Analyst or Tableau often preferred
Work EnvironmentStrategic leadership, overseeing data teams, and setting data policiesData collection, analysis, reporting, and visualization tasks
Employer & Industry UsageUsed in large corporations, tech firms, and data-driven organizationsCommon across various industries including finance, marketing, and healthcare

The main difference between a Director Data and a Data Analyst lies in their scope and responsibilities. The Director Data focuses on strategic leadership, managing data teams, and setting organizational data policies. In contrast, the Data Analyst handles data collection, analysis, and reporting to support business decisions. Both roles require strong analytical skills, but the Director Data typically has more experience and a broader leadership role.

How does a Director of Data typically collaborate with other departments to drive business objectives?

A Director of Data regularly partners with teams such as marketing, product, finance, and operations to ensure data-driven decision-making across the organization. They help translate business goals into data initiatives, oversee the collection and analysis of relevant data, and present actionable insights to stakeholders. Strong cross-functional collaboration is essential, as the Director often leads data governance initiatives and aligns data strategy with company-wide objectives. This role requires both technical expertise and effective communication skills to bridge gaps between technical teams and non-technical departments.

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

To thrive as a Director of Data, you need deep expertise in data management, analytics, and strategy, supported by an advanced degree in a quantitative field and substantial leadership experience. Proficiency with data platforms (such as SQL, Hadoop, and cloud services), data governance frameworks, and often certifications like CDMP or cloud certifications is expected. Exceptional communication, strategic thinking, and team leadership skills distinguish top performers in this role. These skills ensure effective data-driven decision-making, alignment with business goals, and successful leadership of cross-functional data teams.
What are the most commonly searched types of Data jobs in Spring, TX? The most popular types of Data jobs in Spring, TX are:
What job categories do people searching Director Data jobs in Spring, TX look for? The top searched job categories for Director Data jobs in Spring, TX are:
What cities near Spring, TX are hiring for Director Data jobs? Cities near Spring, TX with the most Director Data job openings:
Director Data jobs near you
Infographic showing various Director Data job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $114,374 per year, or $55 per hour.
Data Engineer

Data Engineer

Direct Energy Business

Houston, TX • On-site

$109K - $131K/yr

Full-time

Posted 11 days ago

Job description

Job Summary:
NRG is a company focused on creating a smarter, cleaner, and more connected future in energy and home services. The Data Engineer role involves building and maintaining data pipelines and platforms for analytics and data science initiatives, ensuring reliable data ingestion and transformation to enhance customer experience and operational efficiency.
Responsibilities:
• Collaborate with cross-functional teams to integrate and deploy data engineer technologies
• Develop and maintain data pipelines for ingesting and processing data from various sources such as APIs, S3, Google Cloud Storage and flat files.
• Build and manage ETL/ELT workflows using Databricks, Spark, Python and SQL.
• Design and maintain data models and tables for analytics and reporting.
• Troubleshoot data inconsistencies, missing records, and pipeline failures.
• Work with business teams to understand data requirements and deliver data solutions.
• Support data science and AI initiatives by preparing and organizing datasets.
• Monitor and optimize data pipeline performance and reliability.
• Maintain documentation for data processes, tables, and pipelines.
• Assist with data migration, integration, and platform improvements.
• Work with vendor solutions for data extractions through API or AWS S3 Workflow.
Qualifications:
Required:
• Strong experience (10+ years) with SQL, Spark SQL and Spark Python
• Experience (2+ years) with Databricks or Apache Spark
• Experience (3+ years) with Power BI
• Strong experience working with cloud storage systems (Azure, AWS S3, Google Cloud Storage)
• Experience with Git-based version control, including pull requests, code reviews, and branch management in Azure DevOps
• Solid knowledge (3+ years) of Python for data processing
• Experience building and troubleshooting ETL pipelines
• Familiarity with data warehouse concepts and data modeling
• Ability to debug data quality issues and reporting discrepancies
• Self-driven, proactive problem solving skills
• Bachelor’s in Computer Science, Data Analytics, Mathematics, Data Science, or related field; or equivalent experience.
• 3+ years of experience in contact center operations, continuous improvement, business analysis, or technology support.
• Experience with one or more CRM and contact center platforms such as SAP, Salesforce, Genesys, NICE, or Five9.
Preferred:
• Solid understanding Call center KPIs
• Demonstrable strength in analytical and problem-solving skills.
• Understand real-time agent assist, virtual agents, chatbots, sentiment analysis, and intelligent routing into existing CRM and telephony systems to streamline workflows.
• Excellent communication and stakeholder management skills.
• 3+ years experience with AWS or Google Cloud
• 5+ years experience supporting data science / AI teams
• Knowledge of Airflow or other workflow orchestration tools
• Experience with large-scale data processing, LLM, API integration
• Understanding of natural language processing (NLP) and Machine learning, Modeling, RAG, Agentic AI
• Experience with Claude Code for workflow optimization
Company:
Direct Energy Business is part of a leading energy and energy-related services provider that is focused on helping customers make their businesses better. Founded in , the company is headquartered in Pittsburgh, PA, US, , with a team of 1001-5000 employees. The company is currently Late Stage.

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