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Entry Level Databricks Data Engineer Jobs in Boston, MA

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site +1

$113K - $155K/yr

Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks. * Big Data & ML Frameworks: Familiarity with ...

Prudentia Sciences

Senior AI / ML Engineer

Boston, MA · On-site

$113K - $155K/yr

Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks. * Big Data & ML Frameworks: Familiarity with ...

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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 Jun 9, 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, and why are they important?

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:
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Entry Level Databricks Data Engineer jobs near you

Senior AI / ML Engineer

Prudentia Sciences

Boston, MA • On-site, Remote

$113K - $155K/yr

Other

Medical, Life

Posted 14 days ago

Job description

About Prudentia Sciences
Prudentia Sciences is an AI-powered technology platform transforming how biopharma, biotech, and life sciences investors approach portfolio management, due diligence, and value/risk simulation. Our platform accelerates investment in breakthrough therapies by:
  • Empowering biopharma to accelerate drug pipelines, maximize ROI, and achieve clinical and commercial success for greater patient impact
  • Enabling strategic positioning of asset value during portfolio planning and dealmaking
  • Equipping investors with data-driven insights to optimize capital allocation in drug asset transactions
Backed by GV (Google Ventures), Iaso Ventures, and Virtue, we're on a mission to unlock the full potential of pharmaceutical R&D by empowering decision-makers with real-time, data-driven insights.
ML/AI Engineer
We're looking for a driven, hands-on ML/AI Engineer to help us push the boundaries of what's possible in AI-driven drug development. You'll work on production-grade LLM-based systems, knowledge graphs, and machine learning pipelines-turning prototypes into powerful tools that make a real-world impact.
You'll collaborate across teams to design, build, and deploy intelligent systems that enhance how life sciences organizations make critical decisions. If you love working on technically challenging problems with direct impact in healthcare-this is the role for you.
This is a remote-first position, but we'd love it if you're based in or near Boston.
What You'll Do:
  • Design and Deploy LLM Systems: Develop scalable, production-ready LLM applications using frameworks like LangChain/LangGraph. Build robust RAG pipelines and integrate knowledge graphs for biological and clinical data.
  • Full-Stack AI Engineering: Write maintainable, high-performance code and build clean APIs and services for machine learning applications.
  • Data Engineering Collaboration: Work with data engineers to build and optimize data workflows and pipelines for high-quality data ingestion and processing.
  • Product-Focused Prototyping: Collaborate with product and domain teams to rapidly prototype AI solutions, iterate based on feedback, and scale models for production.
  • Model Deployment & MLOps: Use modern MLOps tools to deploy and monitor models in production environments (AWS preferred). Ensure scalability, observability, and resilience.
  • Collaborative Innovation: Partner with engineering, data, and business teams to identify and develop high-value AI/ML applications.
  • Continuous Learning: Stay ahead of the curve on emerging ML frameworks, GenAI capabilities, and healthcare technologies.
What We're Looking For:
Core Qualifications:
  • Education: Bachelor's, Master's, or Ph.D. in Computer Science, Data Science, Engineering, or a related field.
  • Hands-on AI Experience: Proven ability to build, train, and deploy ML and NLP models, especially those powered by LLMs and transformer architectures.
  • LLM & LangChain Experience: Practical experience working with frameworks like LangChain for applications such as Q&A systems, chatbots, or document automation.
  • Software Engineering: Strong coding skills in Python and experience using Git/GitHub and CI/CD practices.
  • Data Engineering Know-how: Comfort working with ETL pipelines, relational and non-relational databases, and data platforms like Snowflake or Databricks.
  • Big Data & ML Frameworks: Familiarity with Big Data tools (e.g., Apache Spark) and experience orchestrating data workflows using tools like Apache Airflow.
  • Cloud & MLOps: Experience with deploying ML models in cloud environments (AWS, GCP, or Azure) and using containerization/orchestration tools like Docker and Kubernetes.
Soft Skills:
  • Strong problem-solving skills and an analytical mindset.
  • Passion for continuous learning, rapid prototyping, and iterating based on user needs.
  • Autonomous, self-starter attitude with a strong sense of ownership.
  • Excellent communication skills-able to explain technical ideas clearly to non-technical audiences.
  • Collaborative team player with a desire to build things that truly matter.
Bonus:
  • Experience in healthcare, life sciences, or biopharma sectors (preferred but not required).
Why Join Us?
  • Make a tangible impact on drug development and patient outcomes.
  • Work with a passionate, mission-driven team tackling complex challenges.
  • Enjoy flexibility and autonomy in a remote-first culture.
  • Competitive salary, equity, and benefits.
  • Opportunity to grow with a fast-moving, well-funded startup backed by top-tier investors.
What We Offer
  • Impact: Your work directly enables breakthrough therapies to reach patients faster
  • Ownership: Build and lead the customer success function as a foundational leader
  • Growth: Shape customer experience during a critical scaling phase
  • Compensation: Competitive salary, performance bonus, and equity
  • Team: Collaborative, mission-driven colleagues passionate about transforming biopharma

Location
We are a remote-first company, but looking for team members to be located in the Northeast (Boston, New York, DC, etc.)

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