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Data Engineer 1 Jobs in Texas (NOW HIRING)

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 ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher. * RESTful API ... Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or ...

Data Engineer

Houston, TX ยท On-site

$109K - $131K/yr

Database development using Kudu 1.10.0 and higher, or Hive 2.1.1 and higher. * RESTful API ... Bachelor's degree in Data Engineering, Data Science, Data Management, Information Systems or ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

GCP Data Engineer

Dallas, TX ยท On-site

$113K - $136K/yr

Client is seeking a Data Engineer with hands-on experience building Data Lake in Google Cloud ... equivalent demonstrated through one or a combination of the following: work or consulting ...

Lead Data Engineer

Plano, TX ยท On-site

$109K - $131K/yr

At Capital One, you'll be part of a big group of makers, breakers, doers and disruptors, who solve real problems and meet real customer needs. We are seeking Data Engineers who are passionate about ...

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Showing results 1-20

Data Engineer 1 information

See Texas salary details

$41.5K

$120.9K

$165.4K

How much do data engineer 1 jobs pay per year?

As of Aug 22, 2026, the average yearly pay for data engineer 1 in Texas is $120,851.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,700.00 and $128,100.00 per year, depending on experience, location, and employer.

What is a data engineer?

A Data Engineer is a professional responsible for designing, building, and maintaining systems and infrastructure that collect, store, and process large volumes of data. They develop data pipelines, ensure data quality and integrity, and optimize data workflows for analytics and business intelligence. Data Engineers work closely with data scientists, analysts, and other stakeholders to make data accessible, reliable, and usable for various organizational needs.

What are the key skills and qualifications needed to thrive as a data engineer 1, and why are they important?

To thrive as a Data Engineer 1, you need a solid understanding of database management, SQL, data modeling, and a bachelor's degree in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Azure, and big data frameworks such as Hadoop or Spark is typically required. Strong problem-solving skills, attention to detail, and effective communication help you work efficiently with teams and handle complex data challenges. These skills and qualities are crucial for building reliable data pipelines and supporting data-driven decision making within organizations.

What are some common challenges faced by entry-level data engineers, and how can they be addressed?

Entry-level Data Engineers often encounter challenges such as managing large volumes of data, learning new data pipeline tools, and adapting to evolving data architectures. Collaborating effectively with data scientists and analysts can also be challenging due to differing technical backgrounds and priorities. To overcome these, it's helpful to seek mentorship from experienced team members, proactively ask questions, and regularly participate in code reviews. Familiarizing yourself with the company's data infrastructure and staying updated on best practices can also ease the transition into the role.

What is the difference between Data Engineer 1 vs Data Engineer 2?

AspectData Engineer 1Data Engineer 2
Required CredentialsBachelor's degree in CS, IT, or related field; some experience with SQL, Python, and cloud platformsSimilar credentials, often with 1-3 years of experience and additional certifications
Work EnvironmentEntry-level role, often in team-based projects, supporting data pipelines and infrastructureMid-level role with increased responsibilities, handling complex data systems and optimization
Employer & Industry UsageCommon in tech, finance, healthcare, and retail industriesSimilar industries, with a focus on scaling data solutions and performance

Data Engineer 1 typically represents an entry-level position focused on supporting data infrastructure, while Data Engineer 2 involves more responsibility and experience. Both roles share similar credentials and industry usage, but Data Engineer 2 handles more complex tasks and system optimization.

Infographic showing various Data Engineer 1 job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $120,851 per year, or $58.1 per hour.

$104K - $125K/yr

Full-time

Posted 8 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 BIand 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.
  • Perform other related duties as assigned to assist with successful operations and business continuity.

POSITION REQUIREMENTS
  • Must be legally authorized to work in the United States without the need for sponsorship.
  • Must be at least 18 years of age or older.
  • Successfully passes all applicable general pre-employment testing including but not limited to: background check, pre-employment drug screening, pre-employment fit tests, pre-employment aptitude and/or competency assessment(s).
  • Valid U.S. Driver's License required. Most employment is contingent upon meeting company driving standards, including 3-year U.S. driving history and an acceptable Motor Vehicle Record (MVR) in accordance with Company policy.
  • Daily in person, predictable attendance in The Woodlands, TX.

EDUCATION/EXPERIENCE LEVEL
  • Bachelor's degree in MIS, Computer Science, Engineering, IT, or related field. An equivalent combination of education, specialized training, and relevant professional experience will be considered in lieu of a formal degree.
  • 3-5+ years of experience in a data-focused role (Business Intelligence, Data Analysis, Data Management, etc.).

QUALIFICATIONS, SKILLS, COMPETENCIES, AND ABILITIES
  • Experience with Databricks Data Engineering, including Delta Live Tables (DLT).
  • Strong PySpark/SparkSQL experience.
  • Advanced SQL skills and experience with relational databases (Microsoft SQL Server preferred).
  • Familiarity with Databricks Medallion architecture.
  • Proficiency in Power BI (preferred), Tableau, Spotfire, or Sigma
  • Experience with dashboard creation, and data visualization best practices.
  • Ability to manage multiple projects and adapt to changing priorities.
  • Strong analytical, problem-solving, and communication skills.
  • Knowledge of data cleansing and preparation for analytics.
  • Ability to explain complex technical concepts to non-technical users.
  • Experience working in cross-functional teams.

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 al I 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: 08/2026