Data Analytics Engineer Jobs in Houston, TX
Data Analytics Engineer jobs in Houston are concentrated in the Energy Corridor, Downtown, and Greenway Plaza, driven by demand from energy, healthcare, and financial services employers. Employers actively hiring right now include Boardwalk Pipeline Partners, Ketjen, and Nepanoa. Scan the live roles below and apply to whichever ones fit.
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Reporting to the Chief Transportation Officer/MPO Director, the Director establishes departmental priorities, oversees multidisciplinary technical teams, and ensures the delivery of high-quality analytical products and services. The position is responsible for departmental operations, staff development, budget management, strategic planning, and continuous improvement while aligning departmental initiatives with H-GAC's broader organizational goals.
The Director leads innovation within DAR, including the application of advanced analytics, artificial intelligence, geospatial technologies, and digital solutions. Working collaboratively with IT, agency leadership, and other departments, the Director supports data-informed decision-making, technology improvements, and regional partnerships that strengthen H-GAC's programs and services.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Strategic Leadership and Department Management
- Develop and implement the strategic direction, goals, and priorities of the Data Analytics & Research Department in alignment with H-GAC's mission and regional planning objectives.
- Provide leadership and oversight of multidisciplinary teams responsible for transportation modeling, socioeconomic forecasting, scenario planning, environmental modeling, geospatial analytics, data engineering, business intelligence, application development, and regional research.
- Oversee departmental operations, budgets, contracts, staffing, resource allocation, and performance measures.
- Recruit, mentor, develop, and evaluate staff while promoting professional growth, succession planning, and cross-functional collaboration.
- Establish departmental standards and processes to ensure the accuracy, quality, timeliness, and effectiveness of analytical products and services.
- Identify emerging technologies, methodologies, and industry trends that enhance departmental capabilities and service delivery.
- Foster a collaborative work environment focused on accountability, innovation, continuous improvement, and customer service.
- Direct the development and implementation of analytical models, forecasting tools, research initiatives, and data-driven solutions that support regional planning and organizational decision-making.
- Oversee transportation planning analyses, travel demand modeling, population and employment forecasting, and scenario development.
- Guide economic, demographic, environmental, infrastructure, and regional research initiatives.
- Support disaster impact, resiliency, accessibility, and performance measurement analyses.
- Oversee the development of dashboards, data visualizations, interactive applications, and decision-support tools.
- Ensure analytical methods, data sources, and research findings are accurate, reliable, and consistent with applicable standards.
- Translate complex technical findings into clear, meaningful information for agency leadership, elected officials, technical committees, partner agencies, and the public.
- Provide direction and oversight for DAR's data management, geospatial analytics, and geographic information systems (GIS) functions.
- Oversee the development, maintenance, integration, and analysis of regional datasets and geospatial information.
- Collaborate with IT and other departments to support data governance, quality, accessibility, security, and information-sharing practices.
- Identify opportunities to improve data integration, automation, and analytical capabilities across DAR's programs and services.
- Guide the development of digital mapping tools, web applications, dashboards, and other geospatial products.
- Support regional geospatial partnerships, data-sharing initiatives, and collaborative research activities.
- Evaluate emerging geospatial technologies, including remote sensing, LiDAR, imagery, digital twins, and advanced visualization tools.
- Lead the evaluation, development, and implementation of artificial intelligence and emerging technology initiatives within DAR.
- Collaborate with IT, agency leadership, and other departments to support the responsible adoption and application of AI technologies.
- Identify opportunities to use artificial intelligence, machine learning, predictive analytics, and automation to improve departmental processes and analytical capabilities.
- Oversee AI-related pilot projects, technology evaluations, and implementation activities assigned to DAR.
- Support the development and application of appropriate AI governance, data security, privacy, and responsible-use practices in coordination with IT and other appropriate departments.
- Evaluate technology solutions, vendors, and partnerships that support departmental objectives.
- Promote staff development, training, and knowledge sharing related to AI and emerging analytical technologies.
- Monitor the effectiveness of technology initiatives and identify opportunities for operational improvements.
- Identify and implement opportunities to improve departmental efficiency, service delivery, and technical capabilities.
- Promote the use of advanced analytical methods, cloud-based technologies, automation, and scalable data solutions.
- Oversee improvements to departmental workflows, processes, and analytical systems.
- Encourage collaboration and knowledge sharing across technical disciplines.
- Support cross-departmental initiatives that benefit from DAR's analytical expertise and technical resources.
- Develop performance measures and evaluate departmental outcomes to support continuous improvement.
- Establish and maintain effective working relationships with local governments, state and federal agencies, universities, transportation organizations, regional planning partners, and other stakeholders.
- Represent H-GAC and DAR at regional, statewide, and national meetings, conferences, committees, and technical working groups.
- Collaborate with internal departments and external partners to identify analytical needs and develop solutions that support regional initiatives.
- Communicate departmental findings, recommendations, and technical information to diverse audiences.
- Promote regional collaboration, data sharing, and the effective use of analytical resources.
- Identify opportunities to expand DAR's capabilities, programs, and services through grants, partnerships, research initiatives, and other funding opportunities.
- Support the development of proposals, grant applications, service agreements, and project plans.
- Oversee departmental budgets, expenditures, contracts, and resource allocation.
- Ensure compliance with applicable grant requirements, contractual obligations, agency policies, and reporting standards.
- Evaluate departmental programs and initiatives to ensure effective use of resources and alignment with organizational priorities.
- Explore sustainable funding opportunities that support departmental innovation and long-term service delivery.
Knowledge, Skills, and Abilities
- Strong leadership, management, and organizational planning skills.
- Knowledge of regional planning, transportation modeling, forecasting, data analytics, research methodologies, and geospatial technologies.
- Ability to lead and develop multidisciplinary technical teams.
- Strong analytical, problem-solving, and strategic planning abilities.
- Excellent written, verbal, and presentation skills, including the ability to communicate complex technical information to nontechnical audiences.
- Knowledge of artificial intelligence, emerging technologies, digital transformation, and data management practices.
- Ability to establish priorities, manage multiple projects, and meet organizational objectives.
- Experience with budget development, financial management, contracts, and resource allocation.
- Strong interpersonal, collaboration, and stakeholder engagement skills.
- Ability to develop and maintain productive relationships with internal departments, external partners, and regional stakeholders.
- Knowledge of applicable public-sector planning, funding, and regulatory requirements.
- Ability to identify opportunities for process improvement, innovation, and organizational efficiency.
Working knowledge of one or more of the following areas:
- Transportation planning and travel demand modeling.
- Demographic forecasting, statistical analysis, and scenario planning.
- Environmental modeling and regional research.
- Geographic Information Systems (GIS) and geospatial analytics.
- Data engineering, database technologies, and enterprise data platforms.
- Business intelligence, visualization, and decision-support tools.
- Artificial intelligence, machine learning, and predictive analytics.
- Cloud computing, application development, and automation.
- Digital twins, remote sensing, LiDAR, and related geospatial technologies.
- Python, R, SQL, or comparable analytical tools and programming environments.
Required Qualifications
- Bachelor's degree in Data Science, Geographic Information Systems, Regional Planning, Computer Science, Engineering, Public Administration, Statistics, or a related field.
- Ten years of progressively responsible professional experience in data analytics, research, geospatial technologies, regional planning, technology, or related fields, including at least five years in a senior management or leadership capacity.
- Demonstrated experience managing multidisciplinary professional teams, budgets, projects, and strategic initiatives.
- Master's degree in a related field.
- Experience working within a Metropolitan Planning Organization (MPO), Council of Governments (COG), regional planning agency, or comparable public-sector organization.
- Experience collaborating with agency leadership, governing boards, elected officials, and regional stakeholders.
- Experience managing federal or state grant-funded programs.
- Experience leading data analytics, technology modernization, or digital transformation initiatives.
- Experience developing or implementing artificial intelligence solutions and data governance practices.
- Experience overseeing multidisciplinary analytical, modeling, research, or geospatial programs.
All employees of H-GAC are required to reside within the agency’s region of service to support our commitment to excellence in service of our region.
H-GAC is an equal opportunity/ADA employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, national origin, or protected veteran status.
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Find Data Analytics Engineer JobsData Analytics Engineer Job Market in Houston
Who's Hiring
- Boardwalk Pipeline Partners11

- Ketjen6

- Nepanoa6

- Deloitte6

- microvast6

Top Industries Hiring
- Technology & Software11
- Accounting & Auditing6
- Investment & Asset Management6
- Consulting & Professional Services6
Data Analytics Engineer Jobs in Houston: Frequently Asked Questions
How do I get a data analytics engineer job in Houston?
Focus your search on Houston's energy corridor, Texas Medical Center, and the downtown financial district, where demand for data analytics engineers is highest. Energy companies, hospital networks, and regional banks consistently hire for pipeline, modeling, and BI roles. Candidates who know SQL, dbt, and cloud platforms like Snowflake or BigQuery stand out locally. Tailoring your portfolio to energy or healthcare data use cases gives you a concrete edge over generalist applicants.
Which companies hire data analytics engineers in Houston?
Employers hiring data analytics engineers in Houston right now include Boardwalk Pipeline Partners, Ketjen, and Nepanoa, based on current listings on Migrate Mate as of November 2026. Houston's hiring base is broad, pulling from large integrated energy operators, major hospital systems, upstream and midstream services firms, and regional financial institutions.
Are there remote data analytics engineer jobs in Houston?
Yes, data analytics engineering is well suited to remote work because the core responsibilities, building pipelines, writing queries, and maintaining models, require a laptop and cloud access rather than physical presence. About 61% of data analytics engineer openings tied to Houston are remote or hybrid as of November 2026, reflecting strong flexibility across the sector. Pipeline development and BI reporting work tends to be the most remote-friendly, while roles involving stakeholder-embedded analytics teams are more likely to require time on site.
How can I get a data analytics engineer job in Houston with little or no experience?
The most realistic entry path in Houston is targeting junior data or analytics roles at mid-size energy services firms, healthcare IT vendors, and regional insurers headquartered in the Greenway Plaza and Westchase corridors. These employers hire analysts and junior engineers who demonstrate SQL proficiency and familiarity with a modern data stack. Building a public portfolio with energy or healthcare datasets, contributing to open-source dbt projects, and connecting with the Houston Data Science Meetup community are concrete steps that move candidates ahead of other applicants without formal experience.
Which industries hire the most data analytics engineers in Houston?
Most data analytics engineer openings in Houston sit in Technology & Software, Accounting & Auditing, and Investment & Asset Management, per current listings on Migrate Mate as of November 2026. Houston's role as the energy capital of the country, combined with the Texas Medical Center's scale as the world's largest medical complex and a growing fintech presence downtown, concentrates local demand in those sectors.
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