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Entry Level Databricks Data Engineer Jobs in Boston, MA

Winaxis

AI/ML Engineer

Boston, MA · On-site

$32 - $35/hr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$30 - $35/hr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$124K - $149K/yr

Build and maintain scalable data pipelines for model training and inference. Develop AI-powered ... Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit ...

VHB

Entry Level Data Architect

Watertown, MA · Hybrid

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Working knowledge of Python and C# programming * Familiarity with ETL/ELT pipelines using Azure ...

VHB

Entry Level Data Architect

Watertown, MA · Hybrid

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Working knowledge of Python and C# programming * Familiarity with ETL/ELT pipelines using Azure ...

VHB

Entry Level Data Architect

Watertown, MA · On-site

$95K - $98K/yr

Overview ABOUT THE POSITION VHB is seeking a talented entry-level Data Architect to join our data ... Working knowledge of Python and C# programming * Familiarity with ETL/ELT pipelines using Azure ...

SEI

Data and Analytics Consultant

Boston, MA · On-site

Must have experience in architecting and implementing data architecture, data engineering ... Databricks or similar technologies. Advanced Analytics and Data Visualizations * Extensive ...

Pwc

Data Validation Risk - Senior Associate

Boston, MA

$77K - $202K/yr

... Python, Databricks, or Snowflake - Engaging in continuous learning to adapt to emerging data ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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All JobsDatabricks Data Engineer JobsEntry Level Databricks Data Engineer JobsEntry Level Databricks Data Engineer Jobs in Boston, MA

Entry Level Databricks Data Engineer information

See Boston, MA salary details

$32.6K

$75.4K

$128.2K

How much do entry level databricks data engineer jobs pay per year?

As of Aug 13, 2026, the average yearly pay for entry level databricks data engineer in Boston, MA is $75,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $85,300.00 per year, depending on experience, location, and employer.

What is an entry level Databricks data engineer?

An Entry Level Databricks Data Engineer is a professional who uses Databricks, a cloud-based data analytics platform, to design, build, and maintain data pipelines. They are responsible for preparing and processing large datasets, ensuring data quality, and enabling analytics and machine learning workflows. Typically, they work with tools such as Apache Spark, SQL, and Python, and collaborate with data analysts and data scientists to deliver data-driven solutions. As entry-level engineers, they are expected to have foundational knowledge of data engineering concepts and be eager to learn more advanced techniques on the job.

What are the key skills and qualifications needed to thrive as an entry level Databricks data engineer?

To thrive as an Entry Level Databricks Data Engineer, you need a foundational understanding of data engineering concepts, SQL, and Python or Scala, typically supported by a relevant degree in computer science or a related field. Familiarity with Databricks, Apache Spark, cloud platforms (like AWS or Azure), and optional certifications such as Databricks Data Engineer Associate are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills help you collaborate with teams and solve complex data challenges. These skills and qualities are essential for building reliable data pipelines, ensuring data quality, and delivering actionable insights in a fast-paced environment.

What are some common challenges faced by entry level Databricks data engineers, and how can they effectively overcome them?

Entry-level Databricks Data Engineers often face challenges such as learning to optimize Apache Spark jobs, managing complex data pipelines, and understanding cloud-based workflows. To overcome these, it's important to dedicate time to hands-on practice with Databricks notebooks, collaborate closely with more experienced engineers, and actively participate in code reviews and team discussions. Leveraging Databricks' extensive documentation and community forums can also help troubleshoot issues and stay updated on best practices.

What are the most commonly searched types of Databricks Data Engineer jobs in Boston, MA?

The most popular types of Databricks Data Engineer jobs in Boston, MA are:

What are popular job titles related to Entry Level Databricks Data Engineer jobs in Boston, MA?

For Entry Level Databricks Data Engineer jobs in Boston, MA, the most frequently searched job titles are:

What job categories do people searching Entry Level Databricks Data Engineer jobs in Boston, MA look for?

The top searched job categories for Entry Level Databricks Data Engineer jobs in Boston, MA are:

Entry Level Databricks Data Engineer jobs near you
Infographic showing various Entry Level Databricks Data Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 32% In-person, 33% Hybrid, and 35% Remote job distribution, with an average salary of $75,355 per year, or $36.2 per hour.

AI/ML Engineer

Winaxis

Boston, MA • On-site

$32 - $35/hr

Full-time

Re-posted 11 days ago

Job description

About the Role:- We are seeking a talented and innovative AI/ML Engineer to design, develop, and deploy machine learning and artificial intelligence solutions that solve real-world business problems. The ideal candidate should have strong expertise in machine learning algorithms, data processing, model deployment, and cloud technologies. Key Responsibilities Design, develop, train, and optimize Machine Learning and Deep Learning models. Build and maintain scalable data pipelines for model training and inference. Develop AI-powered applications using NLP, Computer Vision, Generative AI, and predictive analytics techniques. Deploy machine learning models into production environments using MLOps best practices. Work with large datasets and perform data preprocessing, feature engineering, and model evaluation. Collaborate with data engineers, software developers, and business stakeholders to understand requirements and deliver AI solutions. Monitor model performance and implement continuous improvements. Research and evaluate emerging AI technologies, frameworks, and industry trends. Develop APIs and microservices for AI model integration. Ensure data security, model governance, and compliance standards are maintained. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Mathematics, Statistics, or a related field. Strong programming skills in Python. Experience with Machine Learning libraries such as: TensorFlow PyTorch Scikit-learn XGBoost Strong understanding of: Supervised and Unsupervised Learning Deep Learning Neural Networks Natural Language Processing (NLP) Computer Vision Reinforcement Learning (preferred) Experience with SQL and NoSQL databases. Knowledge of model deployment frameworks such as Docker, Kubernetes, and MLflow. Experience working with cloud platforms such as AWS, Azure, or GCP. Familiarity with version control systems like Git. Preferred Qualifications Experience with Generative AI technologies and Large Language Models (LLMs). Hands-on experience with: LangChain LlamaIndex Hugging Face OpenAI APIs Vector Databases (Pinecone, Weaviate, ChromaDB, FAISS) Experience in RAG (Retrieval-Augmented Generation) implementations. Knowledge of MLOps tools and CI/CD pipelines. Experience with Databricks and Apache Spark. Technical Skills Python SQL TensorFlow PyTorch Scikit-learn Pandas NumPy Apache Spark MLflow Docker Kubernetes AWS/Azure/GCP Git REST APIs Generative AI & LLMs Soft Skills Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to work independently and in a team environment. Strong attention to detail and commitment to quality. Nice to Have AI Agent Development Multi-Agent Systems Prompt Engineering Fine-tuning LLMs Knowledge Graphs MLOps Certification Cloud Certifications (AWS, Azure, GCP)