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Data Programmer Jobs in Houston, TX (NOW HIRING)

Guidehouse

Public Health Data Engineer

Houston, TX · On-site

$70K - $116K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

Guidehouse

Public Health Data Engineer

Houston, TX

$109K - $131K/yr

Guidehouse seeks a Data Engineer to support the development, maintenance, and enhancement of data pipelines, cloud-based data platforms, and analytics solutions. The ideal candidate is an early ...

EOG Resources, Inc.

Data Engineer II

Houston, TX · On-site

$109K - $131K/yr

Two (2) years of experience as Data Engineer, Database Engineer, Oracle Engineer, Systems Engineer, or Software Engineer. SPECIAL REQUIREMENTS: Experience using SQL, .Net, Python, Node and Java in ...

Howard Hughes

Sr. Data Engineer

The Woodlands, TX · On-site

$104K - $125K/yr

About the Role We are seeking a Sr. Data Engineer to design, build, and optimize enterprise data solutions across our Microsoft ecosystem. This role focuses on Microsoft Fabric , Power BI , and Azure ...

Scadea

Sr. Data Engineer-Azure Databricks

Houston, TX · On-site

$109K - $131K/yr

Job Title: Sr. Data Engineer Location: Houston, TX Length: 6-10 months Job Summary We are seeking a skilled Data Engineer with extensive, hands-on expertise in Azure Databricks to design, develop ...

Pwc

Data Engineer - Senior Manager

Houston, TX

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

Data Engineer - Senior Associate

Houston, TX · On-site

$77K - $202K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Beusa Energy Group

Data Engineer 1

The Woodlands, TX

$104K - $125K/yr

Data Engineer Department: Data Technology Job Status: Full-Time FLSA Status: Salary-Exempt Reports To: Data Engineering Supervisor Location: The Woodlands, TX Amount of Travel Required: 5-10% Work ...

Pwc

Data Engineer - Manager

Houston, TX · On-site

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Cedent

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities * Perform ETL, ELT operations and administration using modern ...

CEDENT

Azure Data Engineer (Houston, TX)

Houston, TX · On-site

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX Experience;- 10+ Years Responsibilities Perform ETL, ELT operations and administration using modern ...

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All JobsData Programmer JobsData Programmer Jobs in Houston, TX

Data Programmer information

See Houston, TX salary details

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$26

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How much do data programmer jobs pay per hour?

As of Aug 20, 2026, the average hourly pay for data programmer in Houston, TX is $26.88, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.46 per hour, depending on experience, location, and employer.

What is a data programmer?

Data Programmers are professionals who write, maintain, and optimize code related to data processing, analysis, and management. They often work with large datasets, using programming languages such as SQL, Python, or R to extract, transform, and load data for use in databases or analytics platforms. Data Programmers play a crucial role in ensuring data integrity, efficiency, and accessibility, supporting business intelligence and decision-making processes. They may also collaborate with data analysts, engineers, and other IT professionals to develop automated data workflows and solutions.

How does a data programmer typically collaborate with data analysts and other stakeholders during a project?

Data Programmers play a crucial role in bridging the gap between raw data and actionable insights by working closely with data analysts, project managers, and sometimes even business stakeholders. They are responsible for building, maintaining, and optimizing data pipelines, ensuring data is accessible and reliable for analysis. Regular meetings, code reviews, and collaborative problem-solving sessions are common, allowing Data Programmers to understand project goals, clarify data requirements, and quickly address any issues that arise. This teamwork ensures that data workflows align with business needs and that the final outputs are both accurate and timely.

What are the key skills and qualifications needed to thrive as a data programmer, and why are they important?

To thrive as a Data Programmer, you need strong programming skills in languages like SQL, Python, or R, along with a degree in computer science, information technology, or a related field. Familiarity with database management systems (such as MySQL, Oracle, or PostgreSQL), data visualization tools, and data integration platforms is typically required. Attention to detail, problem-solving ability, and effective communication are important soft skills for collaborating with teams and ensuring data accuracy. These skills and qualities are essential for efficiently managing, transforming, and delivering reliable data solutions that drive business decisions.

What is the difference between Data Programmer vs Data Analyst?

AspectData ProgrammerData Analyst
Required CredentialsTypically a degree in computer science, programming, or related field; coding certificationsOften a degree in statistics, mathematics, or related field; data analysis certifications
Work EnvironmentPrimarily in software development or IT teams, focusing on coding and database managementIn business or research settings, focusing on interpreting data and generating reports
Employer & Industry UsageTech companies, software firms, data-centric organizationsFinance, marketing, healthcare, and other industries requiring data insights

While both roles involve working with data, Data Programmers focus on coding, database management, and software development, whereas Data Analysts interpret data to provide insights. Understanding these differences helps in choosing the right career path or job search focus.

How much do data programmers make?

Data programmers typically earn a median annual salary ranging from $70,000 to $110,000, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with specialized skills in programming languages like Python or SQL can earn higher salaries.

What are popular job titles related to Data Programmer jobs in Houston, TX?

For Data Programmer jobs in Houston, TX, the most frequently searched job titles are:

What job categories do people searching Data Programmer jobs in Houston, TX look for?

The top searched job categories for Data Programmer jobs in Houston, TX are:

Data Programmer jobs near you
Infographic showing various Data Programmer job openings in Houston, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $55,900 per year, or $26.9 per hour.

Data Engineer III

EVOLUTION WELL SERVICES OPERATING L

The Woodlands, TX • On-site

$104K - $125K/yr

Full-time

Re-posted 23 days ago

Job description

Data Engineer
Job Description
Department: Data Technology
Job Status: Full Time
FLSA Status: Salary Exempt
Reports To: Data Engineering Supervisor
Location: The Woodlands, TX
Amount of Travel Required: 5-10%
Work Schedule: Monday-Friday, 8 a.m.-5 p.m.
Positions Supervised: None
AIP Level: 7
POSITION SUMMARY: As a Data Engineer at Beusa, you will own the performance, reliability, and cost-efficiency of our Databricks environment. You'll design and optimize Delta tables, pipelines, and SQL Warehouse workloads so teams get fast, trustworthy data at the lowest reasonable cost. You will collaborate with cross-functional teams to translate requirements into high-performing, production-grade datasets and dashboards with clear SLAs.
ESSENTIAL FUNCTIONS: (The following duties and responsibilities are all essential job functions, as defined by the ADA, except for those that begin with the word "may.")
  • Build and operate Lakehouse pipelines on Databricks (Bronze/Silver/Gold) using Delta Lake, Delta Live Tables (DLT), and/or Jobs.
  • Own ingestion patterns (Autoloader, CDC, streaming) optimization
  • Own data modeling, quality checks, and performance optimization.
  • Own performance optimization - profile and tune Spark/SQL workloads: partitioning, clustering, constraints, liquid clustering (if applicable), manage table health.
  • Engineer Delta tables for speed and cost: partitioning, Z-Ordering or clustering, constraints, file sizing; manage table health with Auto Optimize, OPTIMIZE, and VACUUM.
  • Implement incremental processing patterns (MERGE with Change Data Feed, APPLY CHANGES INTO) with idempotency and exactly-once delivery.
  • Partner with data consumers to deliver reliable, well-documented datasets with clear SLAs.
  • Design, build, and implement interactive dashboards and reports using Power BI and other visualization tools.
  • Collaborate with business units (Operations, Field Engineers, Assets) to gather requirements and translate them into technical solutions.
  • Develop and maintain data models, ensuring data quality and integrity.
  • Integrate data from multiple sources, including real-time field equipment and sensors.
  • Continuously evaluate and adopt new data management and analytics technologies.
  • Educate and support stakeholders on data tools and best practices.
  • Advocate for Beusa's digital transformation and data-driven decision-making.
  • Engage with technology vendors and partners as needed.
  • Occasional travel to meet with stakeholders.
  • Performs other related duties as assigned to assist with successful operations and business continuity.

POSITION REQUIREMENTS:
  • Successfully passes background check, pre-employment drug screening, an any pre-employment aptitude and/or competency assessment(s).
  • Valid U.S. driver's license and ability to pass a background check.

EDUCATION/EXPERIENCE LEVEL:
  • Bachelor's degree in MIS, Computer Science, Engineering, IT, or related field.
  • 7-10+ years of experience in a data-focused role (Business Intelligence, Data Analysis, Data Management, etc.).

QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES
  • 8+ years of experience in Data Engineering, Data Warehousing, or Analytics Engineering.
  • 3+ years of hands-on experience with Databricks and the Lakehouse Platform.
  • Expert-level proficiency with PySpark, Spark SQL, and distributed data processing concepts.
  • Advanced SQL development skills with experience in relational database platforms (Microsoft SQL Server preferred).
  • Experience designing and implementing Databricks Medallion Architectures (Bronze, Silver, Gold).
  • Experience building and optimizing batch and streaming data pipelines.
  • Experience designing, implementing, and maintaining CI/CD deployment strategies for data platforms.
  • Experience defining and implementing testing frameworks, including Unit Testing, Data Quality Testing, Schema Validation, Integration Testing, and Regression Testing.
  • Experience troubleshooting and optimizing Spark workloads for performance, scalability, reliability, and cost efficiency.
  • Experience implementing data governance, security, and access control frameworks, including Unity Catalog or similar technologies.
  • Experience with source control and DevOps practices using Git, Azure DevOps, or similar tools.
  • Experience mentoring junior engineers and providing technical leadership across projects.
  • Proven ability to work across multiple teams and stakeholders to deliver enterprise data solutions.

PHYSCIAL REQUIREMENTS/WORK ENVIRONMENT:
The physical demands and work environment described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Frequently required to walk, sit, climb, bend, reach and squat/kneel. The Business Intelligence Developer works primarily indoors and will be sitting prolonged periods of sitting at a desk and working on a computer. Must be able to access and navigate each department at the organization's facilities. The Business Intelligence Developer may be required to lift heavy objects; therefore, The Business Intelligence Developer must be able to lift 25lbs.
Work hours may include early morning, late afternoon/evening hours, and weekends in combination depending on job demands.
The Company is committed to the cause of equal employment opportunity for all employees and applicants, thus abiding by all applicable state and federal laws. Our practices regarding employment, job promotion, compensation, training, and termination do not discriminate on the basis of race, color, religious creed, age, sex, national origin, veteran's status, disability, pregnancy, genetic information, or any other legally protected status. It is expected that all employees, both management and staff, will fully support these nondiscriminatory policies.
The company has reviewed this job description to ensure essential functions and duties have been included. It is not intended to be an exhaustive list of all functions, responsibilities, skills, and abilities.
Revised: 06/2026

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