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Senior Databricks Data Engineer Jobs (NOW HIRING)

Hireblazer

Senior Databricks Engineer

Austin, TX · On-site

$103K - $142K/yr

Senior Databricks Engineer Duration: 12 Months (3 Years Ext) Location: Austin, TX 78751. The ... Develop robust data models and implement data quality, validation, and governance frameworks.

ClifyX

Azure Data Engineer Databricks

Denver, CO · On-site

$117K - $141K/yr

ClifyX is a company seeking an Azure Data Engineer with expertise in Databricks. The role involves designing, building, and orchestrating ETL/ELT pipelines, ensuring data quality and governance, and ...

Infosys Limited

Databricks Data Engineer

Richardson, TX · On-site

$78.54 - $110/hr

Experience with Databricks, PySpark, Python, Git, and DevSecOps. * Experience building and operating data platforms or distributed data systems. * Experience with Medallion Architecture. * Experience ...

New

PTR Global

Databricks Data Engineer

Manhattan, NY · On-site

$60 - $75/hr

Databricks Data Engineer Location: New York, New York Duration: Contract Job ID: 178866 Job Overview: We are seeking a skilled and experienced Applications Developer to join our team in New York, New ...

LHH US

Senior Databricks AI/ML Engineer

Seattle, WA · Remote

$150K - $183K/yr

Sr. Databricks AI/ML Engineer - Remote Location: Remote (must reside in (WA, OR, ID, OH, SC, TX, FL ... Familiarity with data engineering best practices and scalable architectures. * Excellent problem ...

Sabio infotech

Sr. Databricks Architect

Dallas, TX · On-site

$64.25 - $84.50/hr

Senior Databricks Architect Domain : Financial Services Location : Dallas, TX/Florham Park, NJ Key ... data scientists, and engineering teams · Optimize performance, cost, and reliability of data ...

New

Guidehouse

Databricks Data Scientist

Data Science & Analysis, Data Science Consulting Travel Required: None Clearance Required: None ... Design reusable feature engineering workflows and model training pipelines using Databricks ...

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Senior Databricks Data Engineer information

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$59.5K

$126.6K

$183.5K

How much do senior databricks data engineer jobs pay per year?

As of Aug 19, 2026, the average yearly pay for senior databricks data engineer in the United States is $126,557.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,500.00 and $143,500.00 per year, depending on experience, location, and employer.

What is a Senior Databricks Data engineer?

Senior Databricks Data Engineers are experienced professionals who design, develop, and optimize large-scale data processing pipelines using the Databricks platform. They work with big data technologies like Apache Spark, Delta Lake, and cloud platforms such as Azure or AWS. Their responsibilities include building and maintaining ETL processes, ensuring data quality, and collaborating with data scientists and analysts to deliver reliable, high-performance data solutions. As senior engineers, they also mentor junior team members and contribute to architectural decisions.

How does a Senior Databricks Data engineer typically collaborate with data scientists and analysts on large-scale projects?

A Senior Databricks Data Engineer works closely with data scientists and analysts to design, build, and optimize data pipelines that enable advanced analytics and machine learning initiatives. They often participate in cross-functional meetings to understand data requirements, translate them into scalable ETL processes, and ensure data quality and accessibility. Regular collaboration also involves troubleshooting data issues, optimizing Spark jobs for performance, and sharing best practices for data management. This close teamwork ensures that analytical teams have reliable, timely, and well-structured data to drive insights and decision-making.

What are the key skills and qualifications needed to thrive as a Senior Databricks Data engineer, and why are they important?

To thrive as a Senior Databricks Data Engineer, you need advanced expertise in data engineering concepts, big data technologies, and proficiency in programming languages like Python or Scala, usually backed by a bachelor's degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (Azure, AWS, or GCP), and certifications like Databricks Certified Data Engineer are typically required. Strong problem-solving skills, effective communication, and the ability to collaborate across teams distinguish top performers in this role. These skills are essential to efficiently design scalable data solutions, optimize data workflows, and drive business insights in complex data environments.

What is the difference between Senior Databricks Data Engineer vs Data Engineer?

AspectSenior Databricks Data EngineerData Engineer
CredentialsTypically requires experience with Databricks, Spark, cloud platforms, and often certifications like Databricks Certified Data Engineer AssociateRequires knowledge of data pipelines, SQL, ETL tools, and often cloud platform experience, but less specialized in Databricks
Work EnvironmentWorks primarily within Databricks environment, focusing on big data processing and analyticsWorks across various data tools and platforms, including traditional ETL and cloud services
Industry UsageCommon in organizations leveraging Databricks for big data analytics and machine learningWidely used across industries for general data pipeline development and data management

The main difference is that a Senior Databricks Data Engineer specializes in using Databricks and Spark for big data solutions, often requiring specific certifications and experience. A Data Engineer has a broader focus on data pipeline development across various tools and platforms, with less emphasis on Databricks-specific skills.

Is a Senior Databricks Data Engineer in demand?

A Senior Databricks Data Engineer is in high demand due to the increasing adoption of cloud-based data platforms and the need for advanced data processing skills. Professionals with expertise in Spark, SQL, and cloud environments like Azure or AWS are particularly sought after in data-driven industries.
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Senior Databricks Data Engineer jobs near you
Infographic showing various Senior Databricks Data Engineer job openings in the United States as of August 2026, with employment types broken down into 75% Full Time, and 25% Contract. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $126,557 per year, or $60.8 per hour.

Senior Databricks Engineer

Hireblazer

Austin, TX • On-site

$103K - $142K/yr

Contractor

Posted 23 days ago

Job description

Title: Senior Databricks Engineer

Duration: 12 Months (3 Years Ext)

Location: Austin, TX 78751. The working position is Hybrid - On Site and Telework

Position will be 3 days remote with 2 days (Mondays and Thursdays) required to be onsite at the location listed above.

Summary:

8 or more years of experience, relies on experience and judgment to plan and accomplish goals, independently performs a variety of complicated tasks, a wide degree of creativity and latitude is expected.

Understands business objectives and problems, identifies alternative solutions, performs studies and cost/benefit analysis of alternatives. Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Writes detailed description of user needs, program functions, and steps required to develop or modify computer program. Reviews computer system capabilities, specifications, and scheduling limitations to determine if requested program or program change is possible within existing system.

The Databricks Engineer should design, develop, and optimize scalable data solutions on Databricks, leveraging PySpark or Scala for large-scale data processing. Build and maintain ingestion pipelines, Declarative Pipelines (DLT), and Medallion Architecture (Bronze, Silver, Gold) to support enterprise analytics and reporting. Develop robust data models and implement data quality, validation, and governance frameworks. Create dynamic dashboards, Databricks Apps, and analytical solutions to deliver actionable business insights. Optimize workloads, monitoring, and operational processes to ensure scalability, security, and cost efficiency.

Required Skills:

8 Years of Required Experience in IT, supporting the design, development, deployment, or delivery of technology solutions.

8 Years of Required Experience with Databricks, including building and optimizing ETL/ELT data pipelines using Apache Spark.

8 Years of Required Experience in data warehousing and dimensional data modeling (star/snowflake schemas).

8 Years of Required Proficiency in SQL and Python (or Scala) for large-scale data processing.

8 Years of Required Experience designing and developing dashboards and applications natively within Databricks (e.g., Databricks SQL dashboards, Databricks Apps).

8 Years of Required Experience implementing data governance, data quality, and data security practices.

8 Years of Required Experience implementing Lakeflow Declarative Pipelines (formerly Delta Live Tables/DLT) for building and managing production data pipelines.

8 Years of Required Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

8 Years of Required Excellent communication skills, both verbal and written, including presenting insights to technical and business stakeholders.

1 Year of Preferred Experience working in public sector or state government environments.

1 Year of Preferred Databricks certification (e.g., Databricks Certified Data Engineer Associate/Professional).

1 Year of Preferred Experience with CI/CD practices for data pipelines (DevOps, Git-based workflows).