Data Engineer Jobs in Houston, TX
Data Engineer jobs in Houston are in strong demand, concentrated in the Energy Corridor, Greenway Plaza, and Downtown across energy, healthcare, and financial services. Employers hiring right now include Deloitte, Capgemini, and Vitol. Scan the live roles below and apply to whichever ones fit.
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As an Data Engineer at Calpine Inc., you will contribute to the BI development to optimize energy operations, enhance forecasting, and improve operational efficiency. This role is ideal for professionals with 10+ years of experience who are passionate about comprehensive data and BI solutions development and solving real-world energy sector challenges using PySpark and Azure Data Factory.
Job Responsibilities
- Engage with business users to gather requirements and translate them into comprehensive data and BI solutions.
- Design and implement scalable data pipelines using PySpark and Azure Data Factory, integrating with Azure Data Lake, Synapse Analytics, DataBricks, and Microsoft Fabric.
- Develop and optimize data models and visualizations using Power BI, ensuring performance and usability across business units.
- Lead modernization efforts by migrating legacy BI systems to cloud-based platforms.
- Collaborate with cross-functional teams to ensure alignment with architectural standards and business objectives.
- Oversee system testing, user acceptance testing (UAT), and production deployments.
- Maintain and enhance existing BI solutions, ensuring reliability and scalability.
- Document data flows, transformation logic, and architectural decisions.
- Communicate effectively with stakeholders regarding upcoming changes and coordinate change management activities.
Requirements
- Minimum 8 - 10 years of experience in data engineering and BI development.
- Proven expertise in PySpark for data transformation and pipeline development.
- Extensive experience with Azure Data Services, including Data Factory, Data Lake, Synapse, Microsoft Fabric, and DataBricks.
- Strong proficiency in Power BI dashboard development and data modeling.
- Solid understanding of cloud architecture, data governance, and performance optimization.
- Advanced SQL skills with a focus on query performance and scalability.
- Experience with dimensional modeling (Star and Snowflake schemas).
- Excellent communication and collaboration skills in cross-functional environments.
- Ability to manage multiple priorities in a dynamic and fast-paced setting.
- Familiarity with SSIS, SSRS, and SSAS (tabular and multi-dimensional models).
- Experience with DAX and MDX query languages.
- Exposure to Power Apps, Data Flows.
- Knowledge of machine learning (ML) and artificial intelligence (AI) concepts and their application in data analytics.
- Have worked with Azure ML Services, and understand OpenAI LLM Model.
- Experience implementing role-based and row-level security in BI platforms.
Benefits
Benefits include:
- Medical, vision and dental
- Prescription drug coverage
- Calpine’s Retirement Savings Plan (401(K)) matching
- Paid time off and paid parental leave
- Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more
- Life insurance
- Education reimbursement program
- Adoption assistance
- Scholarship and vocational grant programs
- Training and education opportunities
- Bonus eligible
As an Data Engineer at Calpine Inc., you will contribute to the BI development to optimize energy operations, enhance forecasting, and improve operational efficiency. This role is ideal for professionals with 10+ years of experience who are passionate about comprehensive data and BI solutions development and solving real-world energy sector challenges using PySpark and Azure Data Factory.
Job Responsibilities
- Engage with business users to gather requirements and translate them into comprehensive data and BI solutions.
- Design and implement scalable data pipelines using PySpark and Azure Data Factory, integrating with Azure Data Lake, Synapse Analytics, DataBricks, and Microsoft Fabric.
- Develop and optimize data models and visualizations using Power BI, ensuring performance and usability across business units.
- Lead modernization efforts by migrating legacy BI systems to cloud-based platforms.
- Collaborate with cross-functional teams to ensure alignment with architectural standards and business objectives.
- Oversee system testing, user acceptance testing (UAT), and production deployments.
- Maintain and enhance existing BI solutions, ensuring reliability and scalability.
- Document data flows, transformation logic, and architectural decisions.
- Communicate effectively with stakeholders regarding upcoming changes and coordinate change management activities.
Requirements
- Minimum 8 - 10 years of experience in data engineering and BI development.
- Proven expertise in PySpark for data transformation and pipeline development.
- Extensive experience with Azure Data Services, including Data Factory, Data Lake, Synapse, Microsoft Fabric, and DataBricks.
- Strong proficiency in Power BI dashboard development and data modeling.
- Solid understanding of cloud architecture, data governance, and performance optimization.
- Advanced SQL skills with a focus on query performance and scalability.
- Experience with dimensional modeling (Star and Snowflake schemas).
- Excellent communication and collaboration skills in cross-functional environments.
- Ability to manage multiple priorities in a dynamic and fast-paced setting.
- Familiarity with SSIS, SSRS, and SSAS (tabular and multi-dimensional models).
- Experience with DAX and MDX query languages.
- Exposure to Power Apps, Data Flows.
- Knowledge of machine learning (ML) and artificial intelligence (AI) concepts and their application in data analytics.
- Have worked with Azure ML Services, and understand OpenAI LLM Model.
- Experience implementing role-based and row-level security in BI platforms.
Benefits
Benefits include:
- Medical, vision and dental
- Prescription drug coverage
- Calpine’s Retirement Savings Plan (401(K)) matching
- Paid time off and paid parental leave
- Comprehensive health programs, including our Wellness Program, telemedicine, Employee Assistance Program, Health Care and Dependents Care Flexible Spending Accounts (FSAs) and more
- Life insurance
- Education reimbursement program
- Adoption assistance
- Scholarship and vocational grant programs
- Training and education opportunities
- Bonus eligible
See All 53 Data Engineer Jobs in Houston
Find roles in Houston that match your experience and apply in just a few clicks.
Find Data Engineer JobsData Engineer Job Market in Houston
Who's Hiring
- Deloitte4
- Capgemini4
- Vitol2
- Submer2S
- Crown Castle2
Top Industries Hiring
- Consulting & Professional Services11
- Technology & Software10
- Investment & Asset Management8
- Energy7
- Accounting & Auditing5
Data Engineer Jobs in Houston: Frequently Asked Questions
How do I get a data engineer job in Houston?
Focus on Houston's dominant hiring sectors: energy, healthcare systems, and petrochemical companies headquartered in the Energy Corridor and Greenway Plaza areas. Employers here particularly value experience with pipeline architecture, cloud platforms, and large-scale data infrastructure. Candidates who can demonstrate familiarity with the data challenges specific to energy operations or hospital networks tend to stand out in Houston's market over those with purely generalist backgrounds.
Which companies hire data engineers in Houston?
Houston data engineer roles are posted by Deloitte, Capgemini, and Vitol and others right now, based on current listings on Migrate Mate as of June 2026. Houston's hiring base is unusually concentrated among large energy corporations, major hospital systems like Houston Methodist and Memorial Hermann, and financial services firms with regional headquarters in the city.
Are there remote data engineer jobs in Houston?
Yes, data engineering is among the more remote-compatible technical roles since most of the work involves cloud platforms, pipelines, and code rather than on-site infrastructure. About 31% of data engineer openings tied to Houston are remote or hybrid as of June 2026, though energy sector roles often skew toward hybrid given the operational integration with on-premise systems. Fully remote roles tend to cluster in fintech and healthcare analytics teams.
How can I get a data engineer job in Houston with little or no experience?
The most realistic entry path in Houston is landing a data analyst or junior data role at one of the city's large hospital systems or mid-size energy companies, which regularly hire entry-level technical staff and promote internally into engineering tracks. Building skills in SQL, Python, and a cloud platform like AWS or Azure strengthens any application. Houston's large medical center complex and energy sector both run internship and rotational programs worth targeting directly.
Which industries hire the most data engineers in Houston?
The sectors hiring the most data engineers in Houston are Consulting & Professional Services, Technology & Software, and Investment & Asset Management, based on current listings on Migrate Mate as of June 2026. Houston's role as a global energy capital and home to the Texas Medical Center, the largest medical complex in the world, drives unusually concentrated demand across both oil and gas operations and healthcare data infrastructure.
See All 53 Data Engineer Jobs in Houston
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