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Databricks Engineer Jobs in Katy, TX (NOW HIRING)

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Metadata-Driven Frameworks, Code Generation, Azure DevOps The pay range is the lowest to highest ...

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Houston, TX Duration: 6 Months Contract Need Locals Required Qualifications Azure Databricks ... DevOps and IaC proficiency Azure DevOps or GitHub-based CI/CD, Bicep or Terraform, service ...

New

Azure Data Engineer

Houston, TX · On-site

$109K - $131K/yr

Required Qualifications • Azure Databricks expertise -- hands-on with Unity Catalog governance ... DevOps and IaC proficiency -- Azure DevOps or GitHub-based CI/CD, Bicep or Terraform, service ...

New

Sr. Data Engineer

Sugar Land, TX · On-site

$105K - $126K/yr

NAVA Software is looking for a Sr. Data Engineer Details: Sr. Data Engineer Location: Sugarland ... Build, optimize, and support pipelines that land data from source systems into the Databricks lake ...

Azure DataLake Engineer [remote]

Houston, TX · On-site

$52.50 - $65.25/hr

Requirements · Strong Expertise in DATA Azure data lake Azure Databricks, Azure SQL, Power BI · Expertise to Implementing Data warehousing Solutions experience as Data Engineer in Azure Big Data ...

Data Engineer

Spring, TX · On-site

$96K - $116K/yr

Databricks, Unity Catalog, PySpark, SQL, DBT, Delta Lake, Lakeflow/DLT, Power BI, Azure DevOps, Git The pay range is the lowest to highest compensation we reasonably in good faith believe we would ...

Showing results 21-40

Databricks Engineer information

See Katy, TX salary details

$54.6K

$102.4K

$186.2K

How much do databricks engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for databricks engineer in Katy, TX is $102,420.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,900.00 and $121,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Databricks engineers when working with large-scale data pipelines?

Databricks Engineers often encounter challenges related to optimizing the performance and reliability of large-scale data pipelines. These can include efficiently managing cluster resources, handling data partitioning to prevent bottlenecks, and troubleshooting job failures due to resource constraints or data quality issues. Collaboration with data scientists, analysts, and DevOps teams is essential to ensure seamless integration and deployment of production workflows. Staying current with evolving Databricks features and best practices also plays a key role in overcoming these challenges.

How much does a Databricks engineer make?

A Databricks engineer's salary typically ranges from $100,000 to $150,000 annually, depending on experience, location, and skill level. Senior roles or those with specialized skills in Spark, cloud platforms, or data architecture can earn higher compensation, often exceeding $160,000 per year.

What is a Databricks engineer?

A Databricks Engineer is a data engineering professional who specializes in using the Databricks platform to build, manage, and optimize data pipelines and analytics solutions. They work with big data technologies like Apache Spark, Delta Lake, and cloud services to process and analyze large datasets efficiently. Their role often involves developing ETL (extract, transform, load) workflows, setting up data lakes, and ensuring data quality and performance for business intelligence and machine learning applications.

What are the key skills and qualifications needed to thrive as a Databricks engineer?

To thrive as a Databricks Engineer, you need strong expertise in big data processing, cloud platforms (like AWS or Azure), and proficiency with languages such as Python, SQL, and Scala, often supported by a degree in computer science or a related field. Familiarity with Apache Spark, Databricks Workspace, version control systems like Git, and relevant Databricks certifications are typically required. Strong analytical thinking, collaboration, and effective communication skills help you understand business needs and work seamlessly with data teams. These skills ensure efficient data pipeline development, scalable analytics solutions, and successful integration of Databricks into organizational workflows.

Is a Databricks engineer in demand?

Databricks engineers are in high demand due to the growing adoption of cloud-based data analytics and machine learning platforms. They typically require skills in Spark, SQL, and cloud environments, and their roles are often available across various industries seeking data-driven solutions.

What are popular job titles related to Databricks Engineer jobs in Katy, TX?

For Databricks Engineer jobs in Katy, TX, the most frequently searched job titles are:

What job categories do people searching Databricks Engineer jobs in Katy, TX look for?

The top searched job categories for Databricks Engineer jobs in Katy, TX are:

What cities near Katy, TX are hiring for Databricks Engineer jobs?

Cities near Katy, TX with the most Databricks Engineer job openings:

Infographic showing various Databricks Engineer job openings in Katy, TX as of August 2026, with employment types broken down into 89% Full Time, 6% Part Time, and 5% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $102,420 per year, or $49.2 per hour.

Senior Unconventional Analytics Engineer

Apex Systems

Spring, TX • On-site

$88K - $121K/yr

Other

Medical, Dental, Vision, Life, Retirement

Posted 4 days ago


Job description

Job#: 3046017
Job Description:
Senior Unconventional Analytics Engineer
Location: Spring, TX (On-Site)
Organization: Unconventional Resources
About the Role
We are seeking a Senior Unconventional Analytics Engineer to ensure data-driven decision making are intuitive and reliable across our Unconventional organization.
Over the past two years, our team has developed forecasting, economic, and operational analytics solutions leveraging Databricks, ComboCurve, and Spotfire. While these tools provide significant value, their effectiveness depends on consistent, trusted, and easily accessible data.
This role will focus on building and managing the data products that power our forecasting, economics, planning, and operational workflows. The successful candidate will work closely with reservoir engineers, production engineers, planners, economists, and data professionals to ensure critical business data is reliable, governed, automated, and readily available for analytics and decision support.
Key Responsibilities
Data Product Ownership
  • Design, develop, and maintain analytics-ready data products supporting forecasting, economics, planning, drilling, completions, and production workflows.
  • Establish trusted datasets and business logic that serve as authoritative sources for key analytical processes.
  • Partner with business stakeholders to prioritize data product enhancements and new capabilities.

Databricks Data Engineering
  • Develop scalable data pipelines and transformation processes within Databricks using SQL and Python.
  • Integrate data from operational, corporate, and third-party sources into a unified analytical environment.
  • Optimize data models and architectures to improve performance, usability, and scalability.
  • Implement automated workflows that reduce manual data preparation and spreadsheet-based processes.

ComboCurve Integration & Enablement
  • Support and enhance data flows feeding ComboCurve forecasting and economic workflows.
  • Ensure forecasting and economic analyses are based on consistent, validated, and auditable datasets.
  • Collaborate with engineers and economists to streamline data preparation and model execution.
  • Improve traceability and transparency of inputs used in forecasting and economic evaluations.

Spotfire Analytics Enablement
  • Develop and maintain curated datasets optimized for Spotfire dashboards and self-service analytics.
  • Partner with stakeholders to improve data accessibility and visualization capabilities.
  • Ensure consistency between Spotfire reporting, ComboCurve outputs, and enterprise data sources.
  • Enable users to gain insights quickly through well-designed analytical data structures.

Data Quality & Governance
  • Establish data quality standards, validation rules, and monitoring processes.
  • Identify and resolve data inconsistencies across systems and workflows.
  • Develop business metadata, documentation, lineage, and governance practices.
  • Promote a culture of data accountability and continuous improvement.

Required Qualifications
Technical Expertise
  • Bachelor's degree in Engineering, Computer Science, Data Science, Information Systems, or related discipline.
  • 5+ years of experience in analytics engineering, data engineering, business intelligence, or advanced analytics.
  • Advanced SQL skills and proven experience working with large, complex datasets.
  • Strong Python programming experience for data engineering and analytics applications.
  • Hands-on experience developing solutions within Databricks.
  • Experience designing and maintaining modern ELT/ETL pipelines.
  • Understanding of data modeling, data architecture, and data product design principles.

Analytics Platforms
  • Experience developing analytics solutions using Spotfire.
  • Experience supporting or integrating analytical applications and business workflows.
  • Strong understanding of how data structures influence reporting, forecasting, and decision-making.

Business & Leadership Skills
  • Strong problem-solving and analytical thinking capabilities.
  • Ability to translate business challenges into scalable technical solutions.
  • Excellent communication and stakeholder management skills.
  • Demonstrated ability to influence across technical and business teams.

Preferred Qualifications
  • Experience in Oil & Gas, particularly Unconventional Resources.
  • Experience with ComboCurve forecasting and economic evaluation workflows.
  • Understanding of:
    • Reservoir Engineering
    • Asset Planning
    • Economics & Capital Allocation
  • Familiarity with data governance and master data management practices.
  • Experience developing enterprise-scale analytical data products.

What Success Looks Like
Within the first year, the successful candidate will:
  • Establish trusted and governed datasets supporting major forecasting and economics workflows.
  • Reduce time engineers and analysts spend validating and preparing data.
  • Improve consistency across Databricks, ComboCurve, Spotfire, and enterprise reporting systems.
  • Implement automated data quality monitoring and exception reporting.
  • Create scalable data foundations that accelerate future analytics and AI initiatives.

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
Everforth Apex uses a virtual recruiter as part of the application process. Click for more details. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from Everforth Apex and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at
Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.
Everforth Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law. Everforth Apex will consider qualified applicants with criminal histories in a manner consistent with the requirements of applicable law.
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