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Contract Databricks Data Engineer Jobs in Texas (NOW HIRING)

Data Engineer 1

The Woodlands, TX · On-site

$104K - $125K/yr

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 ...

Azure Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement ... engineering discipline, or equivalent · 9-12 years of experience managing SQL Queries, Data Lake ...

Manager, Data Engineer - Databricks

Dallas, TX · On-site

$113K - $136K/yr

KPMG is currently seeking a Manager, Data Engineer - Databricks for our Consulting practice. Responsibilities: * Assist with technical design and development activities and lead a small workstream ...

New

Solutions Architect

Houston, TX · On-site

$60.25 - $79.25/hr

DATABRICKS ARCHITECT Job Requisition |Houston, TX | 3-5 Years of Experience EXPERIENCE 3-5 years CERTIFICATION Databricks Data Engineer -- required WORK MODEL Houston-based / client-facing About ...

Data Engineer

Houston, TX · On-site

$60/hr

Databricks Certified Data Engineer Professional Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data. * Build and optimize data ...

Data Engineer

Fort Worth, TX · On-site

$109K - $131K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions CI/CD: GitHub, Jenkins, Azure DevOps, Terraform BI Analytics Tool Stack - Cognos ...

Genesis10 is currently seeking a Data Engineer for a contract position with a Major Insurance ... Databricks, big data, analytics) relevant to P&C insurance * Excellent communication and problem ...

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

This is a Contract Opportunity with our company that MUST be worked on a W2 Only. No C2C ... Spark or Databricks Experience with data modeling, data architecture, and data integration ...

Sr. Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Video and in-person Technical Lead with 12+ yrs of experience as well as expertise in data engineering and analytics in • In-depth knowledge of Apache Spark, Pyspark and Databricks architecture ...

Experience in data warehousing and dimensional data modeling (star/snowflake schemas). Proficiency ... Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional)

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to ...

Showing results 21-40

Contract Databricks Data Engineer information

What is a contract Databricks data engineer?

Contract Databricks Data Engineers are professionals hired on a temporary or project basis to design, build, and maintain data infrastructure using Databricks, a unified analytics platform. They typically work with big data tools, cloud environments, and programming languages like Python or Scala to process and analyze large datasets. Their responsibilities often include developing data pipelines, optimizing data workflows, and collaborating with data scientists and analysts to support business objectives. Because they are contractors, their roles can vary by project and organization, offering flexibility and specialized expertise.

What skills and qualifications are needed to thrive as a contract Databricks data engineer?

To excel as a Contract Databricks Data Engineer, you need strong experience in data engineering, SQL, Spark, and cloud platforms, often supported by a degree in computer science or a related field. Familiarity with Databricks, Apache Spark, Python or Scala, and cloud services like AWS or Azure is typically required, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you work effectively in dynamic, project-based environments. These competencies ensure the efficient design and implementation of scalable data solutions, driving business insights and project success.

What are common challenges faced by contract Databricks data engineers when integrating data from multiple sources?

As a contract Databricks Data Engineer, you'll often encounter challenges related to integrating diverse data sources, such as on-premises databases, cloud storage, and APIs. These challenges may include handling inconsistent data formats, managing data quality, and ensuring secure data transfers. Additionally, adapting to clients' unique data architectures and optimizing ETL pipelines for performance in a cloud environment are common tasks. Collaboration with data scientists, analysts, and other engineers is critical to ensure data is both accessible and reliable for downstream analytics and machine learning.

How much does a Contract Databricks Data Engineer make?

A Contract Databricks Data Engineer typically earns between $70 and $150 per hour, depending on experience, location, and project scope. Contract roles often pay higher hourly rates compared to full-time positions and may require expertise in Spark, cloud platforms, and data pipeline development.

Is a Contract Databricks Data Engineer in demand?

Contract Databricks Data Engineers are in high demand due to the increasing adoption of cloud-based data platforms and the need for expertise in big data processing, Spark, and SQL. Organizations seek professionals with skills in data pipeline development, cloud environments, and tools like Apache Spark and Delta Lake, often offering competitive rates for contract roles. The demand is driven by ongoing digital transformation initiatives across industries.

What are the most commonly searched types of Databricks Data Engineer jobs in Texas?

The most popular types of Databricks Data Engineer jobs in Texas are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Texas?

For Contract Databricks Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Contract Databricks Data Engineer jobs in Texas look for?

The top searched job categories for Contract Databricks Data Engineer jobs in Texas are:

What cities in Texas are hiring for Contract Databricks Data Engineer jobs?

Cities in Texas with the most Contract Databricks Data Engineer job openings:

Infographic showing various Contract Databricks Data Engineer 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.

$104K - $125K/yr

Full-time

Posted 9 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