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Databricks Software Jobs in Pennsylvania (NOW HIRING)

iTech US, Inc.

Databricks Architect

Malvern, PA · On-site

$63.50 - $83.50/hr

Title: Databricks Architect Location: Malvern, PA Duration: 6+ Months Data Architect with strong ... At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Databricks Duration : Contract to Hire Location : Pittsburgh, PA Work Mode : 5 Days Onsite Join a high performing data engineering team responsible for building modern, cloud native ...

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$111K - $133K/yr

Data Engineer - Azure Databricks Contract-to-Hire Pittsburgh, PA - Onsite Job ID J0726-0569 Visa : USC, GC, EAD (No Sponsorship) Position Overview * Seeking an experienced Data Engineer to join a ...

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Databricks Software information

What is Databricks software?

Databricks Software is a unified analytics platform built on Apache Spark that provides tools for big data processing, machine learning, and collaborative data science. It enables organizations to store, manage, and analyze large datasets efficiently, supporting both batch and streaming data workloads. Databricks also offers collaborative notebooks, automated workflows, and integrations with cloud storage and data lakes, making it a popular choice for data engineering, data science, and business analytics teams.

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

To thrive as a Databricks Software Engineer, you need strong programming skills in languages like Python, Scala, or Java, as well as a solid understanding of distributed computing and data engineering concepts. Familiarity with Databricks platform, Apache Spark, cloud services (such as AWS or Azure), and relevant certifications like Databricks Certified Data Engineer are highly valued. Excellent problem-solving abilities, collaboration, and effective communication are important soft skills for this role. These skills ensure efficient development, deployment, and optimization of big data solutions that drive business insights and innovation.

What are some common challenges faced by Databricks software engineers, and how can they be overcome?

Databricks Software Engineers often encounter challenges related to scaling big data pipelines, optimizing Spark workloads, and integrating diverse data sources. Navigating the complexity of distributed systems and managing cloud infrastructure can be demanding, especially when ensuring data reliability and security. To overcome these challenges, engineers typically collaborate closely with data scientists, DevOps, and platform teams, leverage Databricks' extensive documentation and community support, and adopt best practices such as version control and continuous integration. Regular knowledge sharing and staying updated with new features also help engineers succeed in this dynamic environment.

What is the difference between Databricks Software vs Data Engineer?

AspectDatabricks SoftwareData Engineer
Primary RolePlatform for data analytics and machine learningBuilds, maintains data pipelines and infrastructure
Required SkillsSQL, Spark, cloud platforms, data science basicsSQL, ETL, programming (Python, Scala), database management
Work EnvironmentCloud-based, collaborative data platformData teams, cloud or on-premises environments
CertificationsDatabricks certifications, cloud certificationsNone specific, often cloud or data certifications

While Databricks Software provides a platform for data analytics and machine learning, Data Engineers focus on building and maintaining data pipelines and infrastructure. Both roles often work together but have distinct responsibilities and skill sets within the data ecosystem.

What are popular job titles related to Databricks Software jobs in Pennsylvania?

For Databricks Software jobs in Pennsylvania, the most frequently searched job titles are:

What job categories do people searching Databricks Software jobs in Pennsylvania look for?

The top searched job categories for Databricks Software jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Databricks Software jobs?

Cities in Pennsylvania with the most Databricks Software job openings:

Databricks Software jobs near you

Databricks Architect

Malvern, PA • On-site

iTech US, Inc.
See more jobs at iTech US, Inc.external

$63.50 - $83.50/hr

Other

Posted 13 days ago

Job description

Title: Databricks Architect Location: Malvern, PA
Duration: 6+ Months
Job Description:
Data Architect with strong expertise in designing and implementing enterprise-scale data platforms on AWS and Azure. Experienced in Data Lakes, Lakehouse architectures, Databricks, , Redshift, Athena and real-time data processing solutions. Proven ability to deliver secure, scalable, and governed data ecosystems supporting analytics, AI/ML, and business intelligence initiatives.
  • AWS Data Architecture Design scalable, secure, and high-performance data platforms on AWS.
  • Data Modeling Conceptual, Logical, Physical, Star & Snowflake schema design.
  • Data Lakes Amazon S3, Lake Formation, Data Lake architecture.
  • Data Warehousing Amazon Redshift and enterprise data warehouse design.
  • Big Data Processing Apache Spark, PySpark, Amazon EMR.
  • ETL/ELT Development AWS Glue, Lambda, Step Functions, Airflow.
  • Streaming & Real-Time Analytics Amazon Kinesis, Kafka, MSK.
  • Data Governance & Security IAM, KMS, Lake Formation, Encryption, Data Lineage.
  • DevOps & Infrastructure as Code Terraform, CloudFormation, CI/CD Pipelines.
  • Solution Design & Stakeholder Management Business requirement analysis and end-to-end architecture design.

Education: At least a bachelor s degree (or equivalent experience) in Computer Science, Software/Electronics Engineering, Information Systems, or closely related field is required

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