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Contract Databricks Developer Jobs in Pennsylvania

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 ...

Tait

Data Engineer

Lititz, PA

$106K - $127K/yr

Databricks and AWS Data Platform Engineering * Design, build, deploy, and operate production data ... Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns ...

TAIT

Data Engineer

Lititz, PA · On-site

$106K - $127K/yr

Databricks and AWS Data Platform Engineering * Design, build, deploy, and operate production data ... Partner with the Integration team and Data Architect to define data contracts, APIs, event patterns ...

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 ...

campus4tech

Manufacturing Engineer

Reedsville, PA · On-site

$66K - $86K/yr

Manufacturing Engineer Job Type: Contract Location: Reedsville, PA Shift: 9am to 5pm(M-F ... Microsoft Azure/Databricks experience * Equipment Installations * Product Lifecycle Management (PLM)

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Contract Compensation: 55-70/hr W-2, depending on experience Work Model: Onsite US Citizenship ... Knowledge of DevOps practices. * Proficiency with Azure Data Factory and Synapse Analytics for data ...

System One

Data Engineer - onsite

Hanover, PA · On-site

$110K - $132K/yr

Contract Compensation: 55-70/hr W-2, depending on experience Work Model: Onsite US Citizenship ... Knowledge of DevOps practices. * Proficiency with Azure Data Factory and Synapse Analytics for data ...

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All JobsContract Databricks Developer JobsContract Databricks Developer Jobs in Pennsylvania

Contract Databricks Developer information

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.

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

The most popular types of Databricks Developer jobs in Pennsylvania are:

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

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

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

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

What cities in Pennsylvania are hiring for Contract Databricks Developer jobs?

Cities in Pennsylvania with the most Contract Databricks Developer job openings:

Contract Databricks Developer jobs near you

General Information

Slalom Consulting

Philadelphia, PA • On-site

$60.50 - $78.75/hr

Full-time

Medical, Dental, Vision, Life, Retirement

Re-posted 26 days ago

Job description

Description and Requirements
Job Description
AI/ML Ops Engineer
Location: Remote / Hybrid (Client-Facing Consulting Engagement)
Employment Type: Full-Time Consultant
Duration: Project Based Contract Through End of Year with Likely Extension
About Us
Slalom is a purpose-led, global business and technology consulting company. From strategy to implementation, our approach is fiercely human. In six+ countries and 43+ markets, we deeply understand our customers-and their customers-to deliver practical, end-to-end solutions that drive meaningful impact. Backed by close partnerships with over 400 leading technology providers, our 10,000+ strong team helps people and organizations dream bigger, move faster, and build better tomorrows for all. We're honored to be consistently recognized as a great place to work, including being one of Fortune's 100 Best Companies to Work For seven years running. Learn more at Slalom.com.
About the Role
We are seeking an experienced AI/ML Engineer to design, deploy, and operate production-grade machine learning and Generative AI solutions in a highly regulated enterprise environment. This role is focused on transforming validated machine learning models into scalable, governed, and monitored production systems that drive critical business outcomes.
The ideal candidate is a hands-on engineer with deep expertise in MLOps, model deployment, Azure Databricks, and cloud-native machine learning platforms. You will work within agile, cross-functional teams alongside data scientists, data engineers, and business stakeholders to deliver reliable and scalable AI solutions.
This is an opportunity to work on complex analytics challenges involving forecasting, optimization, decision support, and advanced AI applications at enterprise scale.
What You'll Do
  • Design, build, and deploy production-grade machine learning and Generative AI solutions that solve complex business challenges.
  • Own the end-to-end machine learning production lifecycle, including data ingestion, feature engineering, model deployment, monitoring, and lifecycle management.
  • Develop, maintain, and optimize MLOps pipelines using Azure Databricks, MLflow, Unity Catalog, and automated CI/CD processes.
  • Implement scalable model-serving architectures, including real-time APIs, batch inference pipelines, and feature stores.
  • Convert data science prototypes and experimental notebooks into maintainable, production-ready software solutions.
  • Collaborate with data engineering teams to ensure data pipelines, streaming architectures, and feature management platforms meet performance and quality requirements.
  • Establish and maintain best practices for model versioning, reproducibility, deployment automation, monitoring, drift detection, A/B testing, and automated retraining.
  • Build and manage online and batch model-serving endpoints, compute infrastructure, monitoring frameworks, and performance dashboards.
  • Ensure compliance with data governance, privacy, security, and responsible AI standards.
  • Communicate technical decisions, architecture patterns, and trade-offs effectively to both technical and non-technical stakeholders.

What You'll Bring
  • Bachelor's or Master's degree in Computer Science, Software Engineering, Mathematics, Statistics, Data Science, or a related quantitative discipline.
  • 5+ years of hands-on experience in Machine Learning Engineering, MLOps, or related software engineering roles supporting production AI systems.
  • Demonstrated experience deploying and operating machine learning solutions in enterprise environments.
  • Strong Python development skills and proficiency with machine learning frameworks such as: Scikit-learn, PyTorch, and TensorFlow
  • Experience developing and deploying APIs and microservices using frameworks such as: FastAPI, Flask, MLflow Model Serving
  • Experience deploying and supporting both front-end and back-end applications in Azure environments.
  • Deep expertise with Azure Databricks, including Apache Spark, Delta Lake, Databricks, Unity Catalog, Feature Store, Cluster management and optimization
  • Strong hands-on experience with MLflow for Experiment tracking, Model registry, Model packaging, and Automated deployment
  • Experience implementing CI/CD pipelines using Azure DevOps and/or GitHub Actions.
  • Strong knowledge of Git-based development workflows, branching strategies, and pull request processes.
  • Experience building, packaging, and deploying containerized applications using Docker.
    • Working knowledge of Azure cloud services, including Azure Data Lake Storage Gen2 (ADLS), Azure Key Vault, Azure Monitor, Cloud cost optimization practices
  • Excellent communication, collaboration, and problem-solving skills.
  • Ability to operate independently and lead technical delivery efforts within agile, cross-functional teams.

Preferred Qualifications
  • Experience delivering Generative AI or Large Language Model (LLM) solutions in production environments.
  • Experience developing Retrieval Augmented Generation (RAG) applications and AI-powered decision-support tools.
  • Experience integrating machine learning services with user-facing applications and analytics platforms.
  • Knowledge of model governance, responsible AI practices, and regulated software development environments.
  • Experience supporting production workloads requiring high availability, scalability, and observability.

Compensation and Benefits
Slalom prides itself on helping team members thrive in their work and life. As a result, Slalom is proud to invest in benefits that include meaningful time off and paid holidays, 401(k) with a match, a range of choices for highly subsidized health, dental, & vision coverage, adoption and fertility assistance, and long-term disability. We also offer yearly $350 reimbursement account for any well-being-related expenses.
Slalom is committed to fair and equitable compensation practices. For this position, the base salary pay range is 80-100/hr. Actual compensation will depend upon an individual's skills, experience, qualifications, location, and other relevant factors. The salary pay range is subject to change and may be modified at any time.
EEO and Accommodations
Slalom is an equal opportunity employer and is committed to inclusion, diversity, and equity in the workplace. All qualified applicants will receive consideration
for employment without regard to race, color, religion, sex, national origin, disability status, protected veterans' status, or any other characteristic protected by federal, state, or local laws. Slalom will also consider qualified applications with criminal histories, consistent with legal requirements.
Slalom welcomes and encourages applications from individuals with disabilities. Reasonable accommodations are available for candidates during all aspects of the
selection process. Please advise the talent acquisition team if you require accommodations during the interview process.

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