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Contract Databricks Developer Jobs in Lansdale, PA

MissionStaff

Integration Services Engineer

Fort Washington, PA · On-site

$100K - $134K/yr

We are currently filling the following contract job for our client. Job Title : Integration ... Ability to integrate AIS with Snowflake or Databricks platforms * Experience integrating Enterprise ...

New

ENE IT Consulting

Lead Data QA

Philadelphia, PA

$130K/yr

e&e is seeking a Lead Data QA for a hybrid contract opportunity in Philadelphia, PA. The Lead Data ... Azure Data Engineer Associate or Databricks Certified Data Engineer.

Slalom Consulting

General Information

Philadelphia, PA · On-site

$60.50 - $78.75/hr

Project Based Contract Through End of Year with Likely Extension About Us Slalom is a purpose-led ... on engineer with deep expertise in MLOps, model deployment, Azure Databricks, and cloud-native ...

Winaxis

Data Scientist

Philadelphia, PA · On-site

$60/hr

Philadelphia, PA (Local candidates only) - Duration: Long-term contract - Client: UST Global ... data engineers, product managers). Mandatory Skills: - SQL, Python, Tableau, Databricks, AI/ML ...

Drevol LLC

Data Engineer

Malvern, PA · On-site

$112K - $134K/yr

Contract Job Summary We are seeking an experienced Data Engineer with strong expertise in Python ... Snowflake or Databricks. * Apache Iceberg, Delta Lake, or Hudi. * Airflow, Kafka, or Kinesis. * AWS ...

MSD

Process Intelligence Specialist

North Wales, PA

Using technologies such as Databricks, Celonis, Power Platform, RPA, and AI , you will identify ... Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field. * 3-5 ...

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Contract Databricks Developer information

See Lansdale, PA salary details

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How much do contract databricks developer jobs pay per hour?

As of Aug 23, 2026, the average hourly pay for contract databricks developer in Lansdale, PA is $59.53, according to ZipRecruiter salary data. Most workers in this role earn between $53.51 and $65.87 per hour, depending on experience, location, and employer.

What is a Contract Databricks Developer?

A Contract Databricks Developer is a data engineering professional hired on a temporary or project basis to develop, optimize, and maintain data pipelines and analytics solutions using the Databricks platform. They work with cloud data technologies, Spark, and big data frameworks to support organizations in managing large-scale data processing and analytics tasks. Their responsibilities often include building ETL workflows, collaborating with data scientists, and ensuring data quality and performance in data-driven projects.

What are the key skills and qualifications needed to thrive as a Contract Databricks Developer?

To excel as a Contract Databricks Developer, you need strong expertise in data engineering, big data analytics, and proficiency in programming languages like Python or Scala, typically backed by relevant experience or a degree in computer science. Familiarity with Databricks, Apache Spark, cloud platforms (such as Azure or AWS), and certifications like Databricks Certified Associate Developer are commonly required. Excellent problem-solving, adaptability, and communication skills help you collaborate with clients and teams to deliver tailored data solutions. These competencies are crucial for building scalable data pipelines and efficiently managing large datasets in dynamic project environments.

What are some common challenges faced by Contract Databricks developers when starting a new project?

As a Contract Databricks Developer joining a new project, you may encounter challenges such as quickly understanding the existing data architecture, adapting to the client's specific workflow, and ensuring seamless integration with their cloud infrastructure (often Azure or AWS). You’ll also need to align with established data governance and security protocols while collaborating with data engineers, analysts, and business stakeholders. Effective communication and proactive documentation are key to overcoming these hurdles and delivering value efficiently within the contract period.

What is the difference between Contract Databricks Developer vs Data Engineer?

AspectContract Databricks DeveloperData Engineer
Primary FocusDeveloping and optimizing data pipelines using Databricks platformDesigning, building, and maintaining scalable data architectures
Skills & CertificationsProficiency in Spark, SQL, Python, Databricks platform, and cloud servicesKnowledge of ETL processes, SQL, Python, cloud platforms, and data modeling
Work EnvironmentProject-based, often remote, with a focus on Databricks environmentsVaries from in-house teams to consulting, working on large-scale data systems

While both roles require expertise in data processing and cloud platforms, a Contract Databricks Developer specializes in building data solutions specifically within the Databricks environment, whereas a Data Engineer has a broader scope in designing and managing overall data infrastructure across various tools and platforms.

Contract Databricks Developer jobs near you

Databricks Solution Architect

VHL Technologies

King Of Prussia, PA • On-site

$61.50 - $81/hr

Other

Posted 4 days ago

Job description

Job Title : Databricks Solution Architect

Location : King of Prussia, PA - Onsite 

Long term Contract

Experience : 12 Years

Required Skills

·        12+ years of experience in Data Engineering, Data Architecture, Cloud Architecture, or related fields.

·        5+ years of strong Databricks experience, including architecture and implementation.

·        Strong hands-on experience with:

·        Databricks Lakehouse Platform

·        Apache Spark / PySpark

·        Delta Lake

·        Unity Catalog

·        Databricks SQL,    Databricks Workflows / Jobs,   Delta Live Tables / Lakeflow

·        Data governance and security

·        Strong understanding of Data Lake, Data Warehouse, and Lakehouse architectures.

·        Experience designing enterprise-scale batch and real-time/streaming data pipelines.

·        Strong programming experience with Python and/or Scala.

·        Strong SQL development and performance-tuning skills.

Preferred Skills

·        Databricks certifications are highly preferred.

·        Experience with MLflow, Model Serving, Mosaic AI, and Generative AI.

·        Experience with LLM/RAG architectures and AI/ML platforms.

·        Experience with Kafka or other event-streaming technologies.

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