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Associate Azure Databricks Jobs in Texas (NOW HIRING)

Tata Consultancy Service Limited

Engineer

Irving, TX · On-site

$120K - $130K/yr

... Azure (e.g., Databricks, Synapse), or Google Cloud Platform (GCP). • Data Warehousing & Storage ... Azure Data Engineer Associate) are highly valued Salary Range: $120,000 to $130,000 per year

Avani Technology Solutions, Inc.

AIA Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Required Skills Technical Skills- Azure Data Factory Azure Databricks Domain Skills- 5.Nice to have ... Job Type 50CW00 Business Associate 11.Demand Requires Travel? N 12.Certification(s) Required NO ...

Net Orbit

Azure Data Engineer

Houston, TX · On-site

$105K - $126K/yr

The Senior Associate will be more hands on without client interaction but the team expects the ... Azure functions, Datalake, Databricks logic app, tableau • Experience communicating with ...

UST HealthProof

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ... certifications (Azure Fundamentals, Data Engineer Associate) or working toward them. • ...

UST

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... and Databricks (Delta Lake, Unity Catalog) per the design. • Apply medallion (bronze, silver ... certifications (Azure Fundamentals, Data Engineer Associate) or working toward them. • ...

KPMG

Data Scientist- Senior Associate

Dallas, TX · On-site

$58K - $58K/yr

Strong programming skills in Python and its data science libraries; experience with Azure, Databricks, or Microsoft Fabric is a significant plus * Proficient with SDLC tools and methodologies ...

1 point system

Solution Architect

Plano, TX · On-site

$60.25 - $79.50/hr

AI-102 (Azure AI Engineer Associate), DP-100 (Azure Data Scientist Associate), or Databricks ML Data Scientist Certifications. Azure Solutions Architect

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All JobsAssociate Azure Databricks JobsAssociate Azure Databricks Jobs in Texas

Associate Azure Databricks information

What is an Associate Azure Databricks?

An Associate Azure Databricks is a professional who works with the Azure Databricks platform, which is a cloud-based analytics service designed for big data and machine learning. Individuals in this role typically assist in building, managing, and optimizing data pipelines and analytics solutions using Apache Spark on Azure. They often support data engineering and data science teams by preparing data, managing clusters, and ensuring smooth data workflows. This position is ideal for those who have foundational knowledge of cloud computing, data engineering, and analytics.

What are some typical challenges faced by an Associate Azure Databricks, and how can newcomers prepare for them?

As an Associate Azure Databricks, you may encounter challenges such as integrating Databricks with existing data infrastructure, managing large-scale data pipelines, and optimizing Spark workloads for performance and cost. Newcomers can prepare by familiarizing themselves with Spark fundamentals, Azure services, and best practices in data engineering. Collaborating closely with data engineers, architects, and analysts is also key to understanding business requirements and ensuring seamless data workflows.

What are the key skills and qualifications needed to thrive as an Associate Azure Databricks, and why are they important?

To thrive as an Associate Azure Databricks, you need a solid understanding of data engineering fundamentals, cloud computing, and proficiency in SQL, Python, or Scala, often supported by a relevant degree or certification. Familiarity with Azure cloud services, Databricks platform tools, and data integration systems like Apache Spark is typically required. Strong problem-solving, communication, and teamwork skills help you collaborate effectively with data scientists and business stakeholders. These skills are crucial for efficiently managing data workflows, ensuring data quality, and delivering actionable insights in a cloud-based analytics environment.

What is the difference between Associate Azure Databricks vs Data Engineer?

AspectAssociate Azure DatabricksData Engineer
Required CertificationsAzure Data Engineer Associate, Databricks certificationsAzure Data Engineer, cloud platform certifications
Work EnvironmentCollaborates with data scientists and analysts on cloud platformsBuilds and maintains data pipelines and infrastructure
Industry UsageUsed in analytics, AI, and data science projects within cloud environmentsUsed across industries for data integration, ETL, and big data processing

The Associate Azure Databricks role focuses on supporting data analytics and machine learning projects using Databricks on Azure, often working under supervision. In contrast, Data Engineers design and develop data pipelines and infrastructure, with a broader scope in data management. Both roles require similar certifications and work in cloud-based environments, but their responsibilities differ in scope and focus.

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Associate Azure Databricks jobs near you
Infographic showing various Associate Azure Databricks job openings in Texas as of July 2026, with employment types broken down into 1% As Needed, 70% Full Time, 26% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution.

Senior PySpark Data Engineer

Tata Consultancy Service Limited

Irving, TX • On-site

$125K - $140K/yr

Full-time

Re-posted 29 days ago

Job description

Roles & Responsibilities
Job Title: Data Engineer
Job Description:
We are seeking a highly skilled and motivated Data Engineer to play a pivotal role in designing, building, and optimizing our next-generation scalable data pipelines. This position requires expertise in processing massive datasets using cutting-edge technologies like Apache Spark, PySpark, and Hive within a dynamic cloud environment. Your primary objective will be to ensure the utmost data reliability, speed, and efficiency, providing a robust foundation for downstream business intelligence and advanced analytics initiatives.
Roles & Responsibilities:
• Data Pipeline Development & Maintenance: Design, build, and maintain highly scalable and efficient ETL/ELT data pipelines utilizing PySpark and Spark SQL for complex data transformations.
• Cloud Data Infrastructure Management: Deploy, manage, and scale critical data infrastructure components on leading cloud platforms such as Amazon Web Services (AWS) (e.g., EMR, Glue), Microsoft Azure (e.g., Databricks, Synapse), or Google Cloud Platform (GCP).
• Data Warehousing & Storage Optimization: Strategically manage data layout, partitioning, and indexing within Apache Hive and various cloud data lake solutions to optimize performance and accessibility.
• Performance Tuning & Optimization: Proactively identify and resolve performance bottlenecks in Spark jobs, leveraging Spark UI for in-depth analysis, effectively managing data skewness, and optimizing memory utilization.
• Diverse Data Integration: Develop robust solutions for ingesting high-volume and diverse datasets from both structured relational databases and unstructured flat files into our data ecosystem.
• Automated Workflow Orchestration: Implement and manage automated data workflows using industry-standard scheduling tools like Apache Airflow or platform-native schedulers, ensuring timely and reliable data delivery.
• Strategic Collaboration: Partner closely with data scientists, business analysts, and cross-functional enterprise teams to translate complex business requirements into technically sound and efficient data solutions.
Qualifications:
• Big Data Frameworks Expertise: Demonstrated high proficiency in Apache Spark architecture, including a deep understanding of drivers, executors, and Directed Acyclic Graphs (DAGs).
• Advanced Programming: Exceptional coding skills in Python and extensive experience with the PySpark API for developing intricate data transformations and processing logic.
• Querying & Schema Management: Strong command of HiveQL and ANSI SQL, coupled with expertise in data partitioning techniques and effective schema definition.
• Optimized Storage Formats: In-depth understanding and practical experience with optimized big data storage file formats such as Parquet, ORC, and Avro.
• Cloud Ecosystem Development: Hands-on development experience utilizing cloud-native big data utilities (e.g., AWS EMR, Azure Databricks) with in major cloud platforms.
• Data Warehousing Fundamentals: Solid foundation in Dimensional Data Modeling, including Star and Snowflake schemas, and practical experience with Data Lakes concepts and implementation.
Preferred Qualifications
• CI/CD & DevOps Automation: Experience with Continuous Integration/Continuous Deployment (CI/CD) practices and automation tools like Git, Jenkins, or Ansible.
• NoSQL Database Integration: Exposure to and experience with NoSQL databases such as HBase, Cassandra, or MongoDB.
• Professional Cloud Certifications: Relevant professional cloud certifications (e.g., AWS Certified Data Engineer, Microsoft Certified: Azure Data Engineer Associate) are highly valued
Salary Range: $125,000 to $140,000 per year

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