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Director Engineering Jobs in Spring, TX (NOW HIRING)

Director of Engineering

Houston, TX · On-site

$150K - $200K/yr

JOB SUMMARY We are seeking a licensed Director of Engineering to lead our Houston, TX office. This role will be instrumental in building and growing our Texas business unit, with direct ...

Director of Engineering

Houston, TX · On-site

$150K - $200K/yr

JOB SUMMARY We are seeking a licensed Director of Engineering to lead our Houston, TX office. This role will be instrumental in building and growing our Texas business unit, with direct ...

The team provides engineering services to all new, existing facilities and pipelines used in the ... Experience/Specific Knowledge: • A minimum of 10 years direct work experience in the energy ...

This position is located in Midland or Houston, Texas, and reports to the Director Engineering & Planning. Pilot Water Solutions ("PWS") is the most reliable name in water midstream. PWS is a full ...

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Director Engineering information

See Spring, TX salary details

$65K

$173.3K

$226K

How much do director engineering jobs pay per year?

As of Jul 10, 2026, the average yearly pay for director engineering in Spring, TX is $173,270.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,900.00 and $225,100.00 per year, depending on experience, location, and employer.

What does a Director of Engineering do?

A Director of Engineering oversees the engineering department within an organization, leading teams of engineers and managers to deliver high-quality products or projects. They are responsible for setting technical direction, managing budgets, and aligning engineering goals with the company’s overall strategy. Their role involves collaborating with other departments, mentoring staff, and ensuring that engineering processes are efficient and effective. Directors of Engineering also play a key role in hiring, resource allocation, and fostering innovation within their teams.

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

To thrive as a Director of Engineering, you need a solid background in engineering principles, leadership experience, and typically a relevant degree in engineering or computer science. Familiarity with project management software, development frameworks, and certification in Agile or similar methodologies are often expected. Exceptional communication, strategic thinking, and team mentorship skills set outstanding candidates apart. These competencies are crucial for driving technical excellence, aligning teams with business goals, and ensuring successful project delivery.

How does a Director of Engineering typically collaborate with cross-functional teams to drive project success?

A Director of Engineering regularly works with cross-functional teams such as product management, design, and quality assurance to align engineering efforts with business objectives. This collaboration often involves participating in strategic planning meetings, setting priorities, and ensuring open communication channels between departments. Directors of Engineering also play a key role in resolving roadblocks, mediating technical discussions, and fostering a culture of teamwork to deliver projects on time and within scope. Their leadership helps ensure that engineering solutions effectively address user needs and business goals.
What are the most commonly searched types of Engineering jobs in Spring, TX? The most popular types of Engineering jobs in Spring, TX are:
What are popular job titles related to Director Engineering jobs in Spring, TX? For Director Engineering jobs in Spring, TX, the most frequently searched job titles are:
What cities near Spring, TX are hiring for Director Engineering jobs? Cities near Spring, TX with the most Director Engineering job openings:
Infographic showing various Director Engineering job openings in Spring, TX as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 16% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $173,270 per year, or $83.3 per hour.

Director, Data Engineering

Hanwha Energy USA

Houston, TX • On-site

Full-time

Posted 18 days ago


Job description

COMPANY OVERVIEW
Hanwha Energy USA, headquartered in Houston, Texas, is part of the Hanwha Group-a FORTUNE Global 300 company and one of South Korea's most respected business enterprises. With over a decade of experience delivering high-quality, utility-scale energy projects across North America, Hanwha Energy USA has evolved into a comprehensive energy solutions provider. Our portfolio now spans utility-scale renewables, natural gas generation, retail electricity, and strategic partnerships that power America's growing data center industry.
Our expertise covers the entire energy value chain-from project development and engineering to construction, operations, and maintenance. By integrating advanced technologies, proven processes, and strong partnerships, we deliver reliable, customized solutions that meet the dynamic needs of local energy markets.
Hanwha Energy USA is actively advancing strategic initiatives in natural gas generation and data center development, including hyperscaler solutions on both sides of the meter. We are proud to serve as the parent company of:
  • Hanwha Renewables - specializing in utility-scale solar and battery energy storage systems (BESS)
  • Chariot Energy - providing retail electricity services for residential, commercial, and industrial customers in deregulated markets

POSITION OVERVIEW
We are seeking a Director of Data Engineering to lead the strategy, architecture, and delivery of a modern enterprise data platform. This leader will own and actively contribute to the enterprise data strategy and backlog, ensuring that data engineering, reporting, and analytics are coordinated under strong technical leadership and built on a governed, reliable, and scalable foundation.
This is a hands-on leadership role for a player-coach who can operate at both the strategic and technical levels. The ideal candidate will go well beyond traditional SQL Server administration and reporting support. This person will help modernize our data environment by introducing the right technologies, patterns, and operating discipline across areas such as cloud data platforms, data lakes, streaming/event-driven data, data quality, lineage, semantic modeling, and AI-ready data architecture.
This role is critical to ensuring that AI solutions, business reporting, and operational decision-making are powered by trusted, well-managed data with measurable business impact.
The employee may be required to perform other job-related duties as requested by management. All duties will be assigned in accordance with applicable laws and company policies.
RESPONSIBILITIES
  • Own and actively contribute to the enterprise data strategy and roadmap.
  • Define and prioritize the data engineering backlog, balancing foundational work, new business needs, AI enablement, reporting, and technical debt reduction.
  • Design and oversee key data models, pipelines, integration patterns, and analytics platforms that support AI, BI, operational reporting, and decision-making.
  • Lead data engineering and reporting teams including full-time employees, contractors, and vendors.
  • Stay close to the work by reviewing pipeline designs, resolving complex data issues, and guiding architecture and implementation decisions.
  • Establish practical standards for data quality, lineage, documentation, observability, governance, and operational support.
  • Drive the evolution of the company's data environment beyond basic SQL Server patterns into modern capabilities such as:
    • cloud-based data platforms
    • data lakes / lakehouse architectures
    • streaming and near-real-time data pipelines
    • scalable ELT/ETL frameworks
    • governed semantic and analytics layers
  • Partner with business stakeholders, application development teams, AI engineers, analysts, and leadership to ensure data platforms meet current and future needs.
  • Ensure data structures and delivery patterns support both business intelligence and AI use cases, including trusted source data, feature-ready datasets, retrieval-ready content, and performance-optimized views.
  • Evaluate and introduce appropriate new technologies, tools, and design patterns that improve scalability, maintainability, speed, governance, and cost efficiency.
  • Oversee data integration across enterprise systems such as ERP, CRM, project platforms, contract repositories, ticketing systems, and internally developed applications.
  • Collaborate with infrastructure, security, and application teams to ensure data solutions align with enterprise architecture, security controls, identity standards, and cloud strategy.
  • Build strong operating rhythms around prioritization, delivery, quality review, issue resolution, and stakeholder communication.
  • Mentor senior engineers and analysts while raising the technical maturity of the broader team.

REQUIRED QUALIFICATIONS
  • Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or a related field. Equivalent experience may be considered.
  • 15+ years of progressive experience in data engineering, analytics engineering, data architecture, or enterprise data platform development.
  • 5+ years of leadership experience managing technical data teams.
  • Proven experience designing and delivering modern data pipelines and analytics platforms in a business environment with multiple stakeholders.
  • Strong experience with SQL and relational data platforms, but also a demonstrated ability to move beyond legacy-only approaches into modern data architecture.
  • Experience with cloud data platforms, data lakes, and scalable data pipeline design.
  • Experience with streaming, event-driven, or near-real-time data integration patterns.
  • Experience establishing standards for data quality, lineage, documentation, and governance.
  • Strong understanding of how data platforms support BI, reporting, analytics, and AI use cases.
  • Experience leading a mix of full-time employees, contractors, and/or vendor resources.
  • Ability to work in the details while also setting strategic direction.

Preferred Qualifications
  • Experience with Azure-based data services and modern cloud-native data patterns.
  • Experience with lakehouse or data lake architectures.
  • Experience with streaming technologies and message/event-based integration patterns.
  • Experience supporting AI and machine learning use cases with well-structured, governed data.
  • Experience with semantic models, dimensional modeling, and performance optimization for analytics.
  • Experience in operationally complex or multi-entity environments.
  • Experience modernizing legacy reporting/data stacks into more scalable enterprise platforms.

Technical Environment
The ideal candidate should be comfortable working across a modern enterprise data environment that may include:
  • SQL Server and relational platforms
  • Azure data services and cloud-native data tooling
  • Data lakes / lakehouse patterns
  • Streaming or event-driven data architectures
  • ETL / ELT orchestration frameworks
  • Data modeling for analytics and operational reporting
  • Data quality, lineage, cataloging, and documentation
  • Integration with ERP, CRM, project systems, contract repositories, and custom applications
  • AI and BI data enablement

Leadership Profile
Successful candidates will bring:
  • Player-coach leadership style
  • Strong technical credibility
  • Comfort reviewing design details and guiding implementation
  • A modernization mindset
  • Strong architecture judgment
  • A practical approach to governance and standards
  • The ability to bridge engineering, analytics, and business needs
  • A bias toward measurable business outcomes, not just technical elegance

What Success Looks Like
In this role, success means:
  • A clear and executable enterprise data strategy is in place
  • Data engineering and reporting teams are aligned under strong technical leadership
  • Trusted, governed data pipelines and models support AI, BI, and decision-making
  • The organization begins adopting modern data platform capabilities beyond traditional SQL-only patterns
  • Data quality, lineage, and documentation improve materially
  • Business users gain more confidence in reporting and analytics
  • Data investments show measurable impact on speed, insight, governance, and scalability

COMPENSATION: $220,000 - $250,000 salary
Attention external recruitment firms, we will not accept any unsolicited resumes at this time. Please do not contact any internal member of our company to discuss the position or to solicit candidates.
Hanwha Energy USA provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability or genetics.
www.hanwhaenergyusa.com