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Commission Databricks Data Engineer Jobs in Pennsylvania

System One

Data Engineer - Databricks

Pittsburgh, PA · On-site

$107K - $128K/yr

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

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 ...

SysMind Tech

Data Engineer - Databricks

Pittsburgh, PA · On-site

$108K - $130K/yr

Role: Data Engineer Location: Warrendale, PA / Pittsburgh, PA (Onsite) Job Type: Contract Role Overview We are seeking an experienced Data Engineer with strong expertise in Databricks, Python, and ...

eTeam

Databricks Senior Data Engineer

Pittsburgh, PA · On-site

$111K - $133K/yr

Job Summary : eTeam is seeking a Databricks Senior Data Engineer to enhance their data architecture and integration strategies. The role involves collaborating with stakeholders to gather business ...

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ...

Amerihealth Caritas

Data Engineer

Newtown Square, PA · Hybrid

$109K - $131K/yr

Role Overview The Azure Data Engineer designs, builds, and optimizes large scale cloud data ... Tune Databricks jobs and clusters (cluster sizing, autoscaling, caching, partitioning, shuffle ...

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All JobsDatabricks Data Engineer JobsCommission Databricks Data Engineer JobsCommission Databricks Data Engineer Jobs in Pennsylvania

Commission Databricks Data Engineer information

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

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

What are the most commonly searched types of Databricks Data Engineer jobs in Pennsylvania?

The most popular types of Databricks Data Engineer jobs in Pennsylvania are:

What cities in Pennsylvania are hiring for Commission Databricks Data Engineer jobs?

Cities in Pennsylvania with the most Commission Databricks Data Engineer job openings:

Commission Databricks Data Engineer jobs near you

Databricks Data Engineer

Geethanjali College of Engineering and Technology

Malvern, PA • On-site

$112K - $134K/yr

Full-time

Posted 2 days ago

New

Job description

Senior Databricks Data Engineer
Location: Chicago-IL - Hybrid 3 days at On-site
Duration: 6 months
Role Descriptions:
Key Responsibilities
• Pipeline Development - Design, implement, and optimize scalable ETL/ELT pipelines using Databricks (PySpark, SQL, Delta Lake) to ingest structured and semi structured data from multiple sources (APIs, databases, streaming).
• Data Warehousing - Build and maintain cloud data warehouse solutions (Snowflake / Azure Synapse) - design star schemas, fact/dimension tables, and aggregate tables for high performance reporting.
• Data Modeling - Create logical and physical data models for operational and analytical use cases; implement SCD Type 2, slowly changing dimensions, and data vault methodologies where appropriate.
• Performance Tuning - Optimize Spark jobs, SQL queries, and data partitioning strategies to handle petabyte scale data with low latency.
• Governance & Quality - Implement data quality checks, monitoring, and lineage using tools like Great Expectations or custom frameworks; enforce data governance policies (GDPR/CCPA).
• Collaboration - Partner with data analysts, product managers, and engineers to translate business requirements into technical data solutions.
• CI/CD & Automation - Automate deployment of data pipelines using Azure DevOps or GitHub Actions; maintain infrastructure as code (Terraform) for data resources.
Required Skills & Experience
• Total Experience: 10+ years in data engineering or related roles.
• Cloud Data Platforms: Deep hands on experience with Databricks (notebooks, jobs, clusters, Delta Lake, Unity Catalog) - must have production level work.
• Data Warehousing: Proven experience with cloud data warehouses (Snowflake, Azure Synapse, or Redshift) - design, optimisation, and administration.
• Data Modeling: Strong knowledge of dimensional modeling (Kimball/Inmon), relational database design, and experience with tools like ER/Studio or dbt.
• Programming: Expert in Python and SQL - ability to write maintainable, production grade code.
• Big Data: Hands on with Apache Spark (PySpark), distributed computing, and performance tuning.
• Orchestration: Experience with workflow tools (Airflow, Azure Data Factory, or Prefect) for scheduling and monitoring pipelines.
• Version Control: Proficient with Git and collaborative development workflows.
Preferred Qualifications
• Experience with streaming technologies (Kafka, Event Hubs, or Kinesis).
• Knowledge of data mesh or data fabric architectures.
• Familiarity with BI tools (Power BI, Tableau, Looker).
• Databricks certification (e.g., Associate or Professional Data Engineer).
• Experience with dbt (data build tool) and transformation testing.
• Exposure to MLflow or MLOps practices.
Education & Soft Skills
• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field (or equivalent practical experience).
• Strong communication skills
• Self starter with a problem solving mindset and ability to work independently in a hybrid environment.
Keyword:
Skills: Digital : Snowflake~Digital : Databricks
Experience Required: 10 & Above

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