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Databricks Data Engineer Jobs in Houston, TX (NOW HIRING)

Dlapiper

Data Engineer

Houston, TX

$109K - $131K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Strategic Staffing Solutions

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Data Engineer Location: Houston, TX Contract Length: 12+ Months Pay: 80-90 per hr on W2 Job ref ... Experience with distributed data processing technologies such as Spark or Databricks * Experience ...

New

Strategic Staffing Solutions

Data Engineer

Houston, TX

$109K - $131K/yr

... Spark or Databricks Experience with data modeling, data architecture, and data integration ... DevOps best practices Proven experience designing enterprise-scale data platforms and pipelines ...

New

Direct Energy Business

Data Engineer

Houston, TX · On-site

$109K - $131K/yr

The Data Engineer role involves building and maintaining data pipelines and platforms for analytics ... using Databricks, Spark, Python and SQL. • Design and maintain data models and tables for ...

CEDENT

Azure Data Engineer

Houston, TX

$109K - $131K/yr

Job Title:- Azure Data Engineer Location:- Spring Texas (On-Site) Need Only Local to Houston, TX ... Databricks * Airflow

Paul Hastings

Senior Data Engineer

Houston, TX

$194K/yr

The Senior Data Engineer is responsible for designing, building and maintaining modern data ... Advanced proficiency inAzure Data Factory,Azure Data Lake Storage (Gen2) andAzure Databricks;

Gainwell Technologies LLC

Senior Data Engineer

Houston, TX · On-site

$69K - $99K/yr

Design, develop, and maintain reliable ETL/ELT workflows using Databricks, Spark, and Python. * Enable Data Access & Analytics: Partner with analytics, product, and engineering teams to ensure timely ...

The Jupiter Group

Lead Data Engineer

Houston, TX · On-site

$97K - $128K/yr

Lead Data Engineer (Full-Time, Direct Hire) Our client, a well-established company in the midstream ... Strong experience working with Databricks for large-scale data processing and analytics.

Soni Resources

Data Engineer/Data Scientist

Houston, TX · On-site

$100/hr

The Data Engineer or Data Scientist enables data-driven decision-making across the enterprise. This ... Architect and manage modern data pipelines, warehouses, and lakehouses (Snowflake, Databricks ...

AMSYS Talent

Senior Data Engineer

Houston, TX · On-site

$95K - $130K/yr

Strong experience with modern data platforms such as Microsoft Fabric, Snowflake, or Databricks is ... engineering * Experience with modern cloud data platforms (Fabric, Snowflake, or Databricks)

Deloitte

Senior Data Engineer

Houston, TX · Hybrid

$101K - $137K/yr

Design Databricks cluster policies, autoscaling configurations, and cost optimization strategies ... As an experienced Senior Data Engineer you will have the ability to share new ideas and collaborate ...

mBridge Solutions

Sr. Data Engineer

Houston, TX

$105K - $127K/yr

... Databricks) \n \n \n \-Data extract, load and transformation techniques and tools including orchestration of needed azure resources \n \n \n \-Azure analytics services \n \n \n \-Programming ...

SynergenX

Junior Data Engineer

Houston, TX · On-site

$110K - $125K/yr

Junior Data Engineer SynergenX Health Houston, TX 77070 Salary: $110,000-$125,000 annually Job Type ... Azure Databricks (Exposure) Why Join SynergenX? * Competitive salary: $110,000-$125,000 * Medical ...

bwp

Lead Analyst Data Engineer

Houston, TX

Extensive experience working with Databricks. * Working knowledge of the Alation data governance tool. * Strong skills in SQL (T-SQL), Python (PySpark/Pandas), DAX, Power Query (M), PL/SQL.

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$38.6K

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How much do databricks data engineer jobs pay per year?

As of Jul 16, 2026, the average yearly pay for databricks data engineer in Houston, TX is $112,394.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,200.00 and $119,100.00 per year, depending on experience, location, and employer.

What is a Databricks Data Engineer job?

A Databricks Data Engineer is responsible for designing, building, and maintaining scalable data pipelines on the Databricks platform. They work with Apache Spark, Delta Lake, and cloud services to process large datasets efficiently. Their role involves data ingestion, transformation, optimization, and ensuring data quality for analytics and machine learning. Additionally, they collaborate with data scientists, analysts, and business teams to deliver reliable data solutions.

What does a typical day look like for a Databricks Data Engineer?

A typical day for a Databricks Data Engineer involves developing and maintaining scalable data pipelines, optimizing big data workflows using Spark, and collaborating with data scientists, analysts, and other engineers. You will regularly work within cloud environments to manage and process large datasets, conduct troubleshooting, and ensure data reliability and performance. Daily tasks may also include writing code, participating in team meetings, and implementing best practices for data security and governance. This role is highly collaborative, requiring frequent communication to align on project goals and address any technical challenges. The dynamic, project-based structure helps expand your skills and offers growth opportunities into senior engineering or data architecture roles.

What are the key skills and qualifications needed to thrive in the Databricks Data Engineer position, and why are they important?

To thrive as a Databricks Data Engineer, you need strong expertise in data engineering concepts, big data processing, and programming languages such as Python, Scala, or SQL, often supported by a degree in computer science or a related field. Proficiency in Databricks, Apache Spark, cloud platforms (like AWS, Azure, or GCP), and relevant certifications such as Databricks Certified Data Engineer are highly valued. Effective problem-solving, collaboration, and clear communication skills help engineers work efficiently within cross-functional teams. These skills are essential for designing scalable data pipelines, ensuring data quality, and delivering actionable analytics in dynamic business environments.

What are the most commonly searched types of Databricks Data Engineer jobs in Houston, TX? The most popular types of Databricks Data Engineer jobs in Houston, TX are:
What are popular job titles related to Databricks Data Engineer jobs in Houston, TX? For Databricks Data Engineer jobs in Houston, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Houston, TX look for? The top searched job categories for Databricks Data Engineer jobs in Houston, TX are:
What cities near Houston, TX are hiring for Databricks Data Engineer jobs? Cities near Houston, TX with the most Databricks Data Engineer job openings:
Databricks Data Engineer jobs near you

Data Engineer III

EVOLUTION WELL SERVICES OPERATING L

The Woodlands, TX • On-site

$104K - $125K/yr

Full-time

Re-posted 17 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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