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Entry Level Databricks Data Engineer Jobs in Boston, MA

SynergisticIT

Junior Data Engineer

Boston, MA · On-site

For entry-level job seekers to get client interviews and jobs, they need to differentiate ... data scientists, and machine learning engineers. Who Should Apply: Recent computer science ...

Shift Technology

Data Scientist / Engineer

Boston, MA · Hybrid

... data engineering, coding, business understanding and client engagement. * Our company is small ... Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML) , Unity Catalog , and Delta ...

Accenture

Azure Data Architect

Boston, MA

$66.05 - $76.05/hr

Provide architectural leadership for Snowflake and Databricks-based solutions. * Collaborate with BI, data engineering, and analytics teams to ensure architectural alignment. * Establish data ...

Shift Technology

Data Scientist / Engineer

Boston, MA · Hybrid

$100K - $110K/yr

... data engineering, coding, business understanding and client engagement. * Our company is small ... Databricks Ecosystem: Deep expertise in Mosaic AI (formerly MosaicML) , Unity Catalog , and Delta ...

Pwc

AI & GenAI Data Scientist - Manager

Boston, MA

$99K - $232K/yr

In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Winaxis

AI/ML Engineer

Boston, MA · On-site

$35 - $45/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

SEI

Data and Analytics Consultant

Boston, MA

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

Epsilon

Staff Software Engineer

Wakefield, MA

$120K - $224K/yr

Data: Spark, Databricks, PostgreSQL, Scylla * Cloud: AWS, Azure, GCP * Platform: Kubernetes, Docker ... You're the engineer teams rely on to get unstuck, make sound technical tradeoffs, and ship durable ...

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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:
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
Resident Solutions Architect - Communications, Media, Entertainment & Games

Resident Solutions Architect - Communications, Media, Entertainment & Games

Databricks

Boston, MA • On-site

$68.50 - $90.25/hr

Full-time

Posted 27 days ago

Job description

Job Summary:
Databricks is a leading data and AI company that helps organizations unify and democratize data, analytics, and AI. They are seeking a Resident Solutions Architect to work with clients on big data challenges, providing technical expertise and support to ensure successful project delivery using the Databricks platform.
Responsibilities:
• You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases
• Work with engagement managers to scope variety of professional services work with input from the customer
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
• Provide an escalated level of support for customer operational issues.
• You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
Qualifications:
Required:
• 6+ years experience in data engineering, data platforms & analytics
• Comfortable writing code in either Python or Scala
• Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
• Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals
• Familiarity with CI/CD for production deployments
• Working knowledge of MLOps
• Design and deployment of performant end-to-end data architectures
• Experience with technical project delivery - managing scope and timelines.
• Documentation and white-boarding skills.
• Experience working with clients and managing conflicts.
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
• Travel to customers 20% of the time
• Databricks Certification
Company:
Databricks is a data and AI platform that unifies data engineering, analytics, and machine learning on a lakehouse architecture. Founded in 2013, the company is headquartered in San Francisco, USA, with a team of 5001-10000 employees. The company is currently Late Stage.

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