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Contract Databricks Data Engineer Jobs in Farmers Branch, TX

Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

This role is for a skilled Data Engineer with extensive hands-on experience in Databricks, focusing on building and optimizing scalable data pipelines. The successful candidate will leverage advanced ...

Sr Databricks Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

Data Engineer

Dallas, TX · On-site

$90K - $150K/yr

Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution ... Experience with Databricks, including Delta Lake and Unity Catalog, is a plus. * Prior experience ...

Data Bricks Engineer Location: Plano, TX Job Summary: We are seeking an experienced Databricks Engineer with strong expertise in migration of PySpark/Hive workloads from AWS EMR or legacy platforms ...

Azure Data Architect (Dalas)

Dallas, TX · On-site

$63 - $81.25/hr

Azure Synapse, Databricks, Data Factory, Data Lake, Event Hubs, Cosmos DB. • Strong background in ... Engineer or Solutions Architect) Company : 1872 Consulting is a recruitment and IT consulting ...

Data Engineer

Dallas, TX · On-site

$60 - $65/hr

As a Databricks Lead, you will be a critical member of our data engineering team, responsible for designing, developing, and optimizing our data pipelines and platforms on Databricks, primarily ...

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 ...

"DATA ENGINEER"

Dallas, TX · Remote

$117K - $140K/yr

Client have two roles and One role is a Lead role and a contract to hire. Must be a Visa ... Databricks * Must have Azure (Azure Data Factory, Azure Synapse Analytics) develop and maintain ...

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Showing results 1-20

Contract Databricks Data Engineer information

See Farmers Branch, TX salary details

$42.8K

$124.7K

$170.6K

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

As of Sep 8, 2026, the average yearly pay for contract databricks data engineer in Farmers Branch, TX is $124,689.00, according to ZipRecruiter salary data. Most workers in this role earn between $110,100.00 and $132,200.00 per year, depending on experience, location, and employer.

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 Farmers Branch, TX?

The most popular types of Databricks Data Engineer jobs in Farmers Branch, TX are:

What are popular job titles related to Contract Databricks Data Engineer jobs in Farmers Branch, TX?

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

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The top searched job categories for Contract Databricks Data Engineer jobs in Farmers Branch, TX are:

What cities near Farmers Branch, TX are hiring for Contract Databricks Data Engineer jobs?

Cities near Farmers Branch, TX with the most Contract Databricks Data Engineer job openings:

$150 - $200/hr

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Posted 2 days ago

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Job description

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. A Great Place To Work Certified company, Prodapt employs over 5,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

We are seeking an experienced Azure Databricks Engineer to join our team in Dallas, TX. The ideal candidate has strong hands-on experience in designing and building scalable data engineering solutions using Azure Databricks, PySpark, Python, SQL, and Azure Data Services including leading the modernization and migration of existing Python object-oriented applications into scalable PySpark and Spark SQL data-processing solutions on Azure Databricks.

Responsibilities
  • Design, develop, and implement scalable data pipelines using Azure Databricks.
  • Build and optimize ETL/ELT pipelines using PySpark, Python, and SQL.
  • Develop data solutions using the Medallion Architecture (Bronze, Silver, and Gold layers).
  • Work with Delta Lake, Delta tables, and advanced Databricks optimization techniques.
  • Integrate Databricks with Azure services such as ADLS Gen2, Azure Data Factory, Azure Synapse, and Azure Key Vault.
  • Develop and manage Databricks Workflows, Jobs, and Notebooks.
  • Implement data quality, monitoring, error handling, and performance optimization.
  • Collaborate with Data Architects, Data Engineers, Data Scientists, and business stakeholders.
  • Establish best practices for CI/CD, Git/version control, code reviews, and automated deployments.
  • Lead technical discussions and provide guidance to junior engineers.
  • Analyze existing Python OOP applications and redesign single-node processing logic for distributed Spark execution.
  • Design, develop, and deploy enterprise-scale data pipelines on Azure Databricks; build reusable PySpark frameworks and utility modules.
  • Implement Delta Lake solutions using the Bronze, Silver, Gold architecture.
  • Build robust ETL/ELT pipelines with Azure Data Factory, ADLS Gen2, and Azure Synapse Analytics.
  • Implement data quality, reconciliation, validation, and monitoring frameworks.
  • Optimize Spark jobs using partitioning, bucketing, caching, broadcast joins, Adaptive Query Execution, and Delta optimization.
Requirements
  • 10+ years of overall Data Engineering experience, including designing and implementing ETL/ELT pipelines with Azure Data Factory and other Azure services.
  • Bachelor’s degree in Computer Science, Engineering, or a related field; OR equivalent combination of education and relevant experience.
  • Strong hands-on experience with Azure Databricks; 4+ years of experience across Azure services and Databricks (ADLS, ADF, Azure DevOps, etc.).
  • 7+ years of Python development experience, with the ability to design and build reusable libraries.
  • 4+ years of experience with Snowflake or SQL (No-SQL experience is a plus).
  • Expert-level knowledge of PySpark and Spark SQL.
  • Strong programming experience in Python and SQL.
  • Experience with Delta Lake and Lakehouse architecture.
  • Strong experience with Azure Data Lake Storage (ADLS Gen2).
  • Experience with Azure Data Factory (ADF) and other Azure data services.
  • Strong understanding of ETL/ELT, data modeling, and large-scale data pipelines.
  • Experience with performance tuning and optimization in Databricks/Spark.
  • Experience with Git, CI/CD, and DevOps practices.
Preferred Skills
  • Databricks certifications.
  • Experience with Unity Catalog and Databricks governance/security.
  • Experience with Terraform or Infrastructure as Code.
  • Knowledge of Azure DevOps.
  • Experience designing APIs and integrating with React JS within a cloud platform
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