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Trainee Databricks Data Engineer Jobs in Needham, MA

Senior Databricks Data Engineer

Boston, MA · On-site

$133K - $175K/yr

We're looking for a Senior Databricks Data Engineer to support a cloud modernization initiative where legacy SQL Server/SSIS pipelines are being rebuilt on a modern Databricks Lakehouse platform.

Senior Databricks Data Engineer

Boston, MA · On-site

$133K - $175K/yr

We're looking for a Senior Databricks Data Engineer to support a cloud modernization initiative where legacy SQL Server/SSIS pipelines are being rebuilt on a modern Databricks Lakehouse platform.

Sr Databricks Data Engineer

Boston, MA · On-site

$124K - $149K/yr

As a Databricks Engineer in our AI & Data practice, you will design, build, and optimize cloud-based data engineering solutions that support large-scale transformation. You will work with business ...

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Wakefield, MA · On-site

$120K - $145K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Data Engineer

Wakefield, MA · On-site

$90K - $150K/yr

Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. We are GEI. Some of the world's most ...

Senior SIEM Data Engineer

Quincy, MA · On-site

$109K - $150K/yr

Design and support Databricks data engineering patterns across raw, enriched, curated, and analytics-ready data layers. * Validate data quality across cyber data platforms for freshness, completeness ...

Data Engineer - Senior Manager

Boston, MA · On-site

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

Data engineer

Boston, MA · On-site

$124K - $149K/yr

Summary of ideal candidate: 8+ years in data engineering, with deep expertise in Python, PySpark, SQL, and Databricks, extensive AWS experience (S3, EC2, Lambda), and a strong background in ...

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Trainee Databricks Data Engineer information

See Needham, MA salary details

$48.5K

$141.3K

$193.4K

How much do trainee databricks data engineer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for trainee databricks data engineer in Needham, MA is $141,309.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,700.00 and $149,800.00 per year, depending on experience, location, and employer.

What is the difference between Trainee Databricks Data Engineer vs Junior Data Engineer?

AspectTrainee Databricks Data EngineerJunior Data Engineer
Required CredentialsBasic knowledge of Databricks, SQL, and data fundamentalsDegree in Computer Science or related field, some experience with data tools
Work EnvironmentTraining programs, mentorship, entry-level projects on Databricks platformEntry-level to mid-level data teams, real-world data projects
Employer & Industry UsageTech companies, data consulting firms, startups focusing on cloud data platformsVariety of industries including finance, healthcare, retail, with data teams

The Trainee Databricks Data Engineer is an entry-level role focused on learning Databricks and data engineering fundamentals, often within training programs. In contrast, a Junior Data Engineer typically has some hands-on experience and works on real data projects. Both roles are common in tech-driven industries, but the trainee position emphasizes skill development, while the junior role involves more independent work.

What are popular job titles related to Trainee Databricks Data Engineer jobs in Needham, MA?

For Trainee Databricks Data Engineer jobs in Needham, MA, the most frequently searched job titles are:

What job categories do people searching Trainee Databricks Data Engineer jobs in Needham, MA look for?

The top searched job categories for Trainee Databricks Data Engineer jobs in Needham, MA are:

What cities near Needham, MA are hiring for Trainee Databricks Data Engineer jobs?

Cities near Needham, MA with the most Trainee Databricks Data Engineer job openings:

Infographic showing various Trainee Databricks Data Engineer job openings in Needham, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 2% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $141,309 per year, or $67.9 per hour.

Senior Databricks Data Engineer

3B Staffing LLC

Boston, MA • On-site

$133K - $175K/yr

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

We're looking for a Senior Databricks Data Engineer to support a cloud modernization initiative where legacy SQL Server/SSIS pipelines are being rebuilt on a modern Databricks Lakehouse platform. This is a hands-on engineering role with the opportunity to influence standards, build net-new pipelines, and help shape a scalable cloud data environment.

Key experience we're seeking:

  • Hands-on Databricks development (SQL + PySpark)
  • Strong data warehousing fundamentals (facts, dimensions, modeling)
  • Experience modernizing or migrating ETL pipelines
  • Cloud experience (Azure or AWS)
  • Comfort working in an early-phase, fast-evolving environment

Senior Data Engineer (Databricks / Cloud Migration)

Summary

This role supports an early-phase cloud modernization initiative focused on retiring legacy SQL Server/SSIS pipelines and building a new enterprise data platform in Databricks. The engineer will be hands-on in Databricks development and must have a strong understanding of data warehouse concepts, dimensional modeling, and scalable data transformation patterns. While Databricks is the primary skill, SQL and Python remain foundational components of the work.

Responsibilities

Develop, optimize, and maintain data pipelines within Databricks using SQL, PySpark, and Delta Lake

Translate existing SQL Server/SSIS logic into Databricks-based modern cloud architecture

Apply data warehouse concepts (star schemas, slowly changing dimensions, fact/dimension modeling) to pipeline and table design

Build scalable, reliable ETL/ELT processes to support analytics, reporting, and downstream systems

Participate in cloud migration activities and support integration across data, BI, and application teams

Partner with data architects and engineering leads to design and implement Lakehouse solutions

Contribute to standards for coding, documentation, testing, and performance optimization

Support data validation and QA processes to ensure accuracy during and after migration

Participate in ongoing development phases as the platform expands to new domains and workloads

Required Skills

Hands-on experience with Databricks (not just exposure)

Strong understanding of data warehousing concepts including dimensional modeling

Proficiency with SQL for transformations, performance tuning, and pipeline logic

Experience with Python and/or PySpark in a data engineering environment

Experience migrating or modernizing legacy ETL processes (SSIS experience a plus)

Background in building scalable pipelines in cloud environments (Azure or AWS)

Ability to work in an early-stage environment with evolving requirements

Strong communication skills and ability to collaborate with architecture, BI, and integration teams

Nice to Have

Experience with Delta Live Tables or Databricks Workflows

Experience with Power BI or similar BI tools

Familiarity with DevOps practices for data (CI/CD, Git, testing frameworks)

Experience supporting data validation or automated QA frameworks

Exposure to professional services, legal, or real estate environments (not required)

Critical Success Factors

Comfortable working hands-on and iteratively as the cloud platform matures

Ability to interpret legacy ETL logic and redesign it for Databricks and Spark

Strong grounding in SQL and Python as core languages within Databricks

Ability to deliver high-quality pipelines with accuracy, reliability, and performance

Collaborative mindset and willingness to work across multiple technical teams