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

Associate Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Required Skills: · Basic experience with Azure Data Factory or Azure Databricks. * SQL, Python. * PySpark * Familiarity with CI/CD tools (e.g., Azure DevOps, GitHub). * Data Warehousing Concepts ...

DATA ENGINEER (PALANTIR FOUNDRY)

Plano, TX · On-site

$110K - $132K/yr

Palantir Foundry, Databricks, Snowflake, IBM WatsonX.data Programming: Python, PySpark, SQL, Scala Data Processing: ETL/ELT pipelines, real-time streaming, batch processing Cloud: Azure (Data Factory ...

Azure Databricks Engineer

Frisco, TX · On-site

$51.50 - $64/hr

Azure Databricks Job Responsibilities: · Understand all concepts covered in Azure Data Engineer Associate, Azure Database Administrator Associate, Microsoft Azure Data Fundamentals and Power Bl Data ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the ...

What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Lead Data Engineer & Sr. Data Engineer Location: Remote Duration: CTH/FTE Type: Only W2 Note ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

Senior Data Engineer

Dallas, TX · On-site

$120K - $140K/yr

What we need is someone who comes 8+ years of experience in the Data Engineering space who specializes in Microsoft Azure and Databricks. This person will be a part of multiple initiatives for the ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title: Data Engineer Experience: 3-8 Years Employment Type: Full-Time Location: [Insert ... Data Factory, Synapse Analytics, Databricks, ADLS * Google Cloud Platform : BigQuery, Dataflow ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ... data engineering or software engineering experience, including internships and academic project ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role Summary We are seeking a high-performing Data Engineer to design and implement a real-time ... Own the deployment lifecycle using Databricks Asset Bundles (DABs) and CI/CD pipelines (GitHub ...

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ... data engineering or software engineering experience, including internships and academic project ...

Databricks Architect

Dallas, TX · Remote

$66.25 - $87/hr

Subject Matter Expert (SME) level experience in Cloud Engineering, specifically with Databricks, Azure Data Factory, Data Lake, Delta Lake, and UnityCatalog. * Proficiency in Python, Spark, and ...

... Databricks for data processing, transformation, and reporting Data Engineering & Integration ... Collaborate with data scientists, analysts, and other stakeholders to understand business ...

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Databricks Data Engineer information

See Allen, TX salary details

$41.4K

$120.7K

$165.1K

How much do databricks data engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for databricks data engineer in Allen, TX is $120,659.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $127,900.00 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 Allen, TX? The most popular types of Databricks Data Engineer jobs in Allen, TX are:
What are popular job titles related to Databricks Data Engineer jobs in Allen, TX? For Databricks Data Engineer jobs in Allen, TX, the most frequently searched job titles are:
What job categories do people searching Databricks Data Engineer jobs in Allen, TX look for? The top searched job categories for Databricks Data Engineer jobs in Allen, TX are:
What cities near Allen, TX are hiring for Databricks Data Engineer jobs? Cities near Allen, TX with the most Databricks Data Engineer job openings:
Infographic showing various Databricks Data Engineer job openings in Allen, TX as of June 2026, with employment types broken down into 1% Internship, 2% As Needed, 81% Full Time, 6% Part Time, and 10% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $120,659 per year, or $58 per hour.
senior Azure Data Engineer::Dallas TX(Onsite)

senior Azure Data Engineer::Dallas TX(Onsite)

talentmovers inc

Dallas, TX • On-site

$113K - $136K/yr

Contractor

Posted 11 days ago


Job description

Title : Azure Data Engineer 

Location : Dallas, TX(Onsite)

Rate: on C2C/W2/Full time 

Expereince : 12 + Years 

 Mandatory skills:

  • Azure Data Factory
  • Azure Synapse
  • SQL
  • Pyspark
  • Rest API
  • ADLS Gen2/Blob 

Excellent interpersonal and communication skills (written as well as verbal)  

Must have a positive attitude, attention to detail, be a team player, possess good problem solving skills, and have a strong work ethic

Ability and desire to learn and work with new technologies as needed.

 Job Summary:

The Azure Data Engineer (Senior) is a highly experienced role responsible for leading the design, development, and maintenance of large-scale, complex data processing systems on the Azure platform. They work with data architects, data scientists, and other stakeholders to ensure data solutions are scalable, reliable, and secure.

Job Description:

Job Responsibilities

·       Design and implement Data Ingestion from multiple sources to Azure Data Storage services.

·       Implement Azure data services and tools to ingest, egress, and transform data from multiple sources.

·       Responsible for creating an ETL pipeline with Azure Ecosystem like Azure Data Bricks, Azure Data Factory.

·       Build simple to complex pipelines, activities, Datasets & data flows

·       Utilize Azure compute services [Databricks, Data Lake Store, PySpark, Apache Spark, Synapse, Data Factory] to implement transformation logic and stage transformed data.

·       Design data ingestion into data modelling services to create cross domain data models for end user consumption.

·       Implement ETL, related jobs to curate, transform and aggregate data to create source models for end user analytics use cases.

·       Scheduling automation and monitoring instrumentation for data movement jobs.

·       Working experience with Azure monitor and Azure log Analytics.

·       Background work on legacy data warehouses and Big Data will be plus.

·       Should have fair knowledge of the consumption layer (BI) and the business processes.

·       Implement/Support Azure DBaaS infrastructure and services

·       Experience working in Agile/Scrum/Kanban team environments

Candidate Profile / Qualification

·       A Minimum of a Bachelor’s degree in Computer Science or related software engineering discipline, or equivalent

·       7-9 years of experience managing SQL Queries, Data Lake, Data Bricks, PySpark, Synapse, Data factory etc.

·       Strong ETL pipeline development experience with Azure Ecosystem like Azure Data Bricks, Azure Data Factory. Build simple to complex notebooks, pipelines, activities, Datasets & data flows.

·       Experience with message ingestion systems like Kafka / Azure Event Hub.

·       Experience in data modelling and Proficient in SQL developer skills in writing stored procedures, functions, transformations etc.

·       Experience in PySpark and data factory is must

·       Knowledge in Service provisioning, scripted provisioning, blueprint development for data service deployment etc.

·       Excellent oral and written communication skills.

·       Candidate should possess a strong work ethic, good interpersonal and communication skills, and a high energy level