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Entry Level Databricks Data Engineer Jobs in Boston, MA

Qode

Business Analyst

Boston, MA · On-site

Work closely with data engineering teams (ETL/ELT, Snowflake/Databricks environments) to ensure correct implementation of business rules. * Support data quality initiatives by defining validation ...

SkillStorm

Entry Level Software Developer

Boston, MA · On-site

... data structures, algorithms, databases and SQL, and software development in an object-oriented language such as Java or C# • Solid problem-solving and logical reasoning • Clear written and verbal ...

Qode

Business Analyst

Boston, MA · On-site

... data engineering teams (ETL/ELT, Snowflake/Databricks environments) to ensure correct implementation of business rules. * · Support data quality initiatives by defining validation rules ...

SynergisticIT

ENTRY LEVEL JAVA DEVELPOER

Boston, MA · On-site

Currently, we are looking for entry-level software programmers, IT enthusiasts, Python/Java developers, Data analysts/Data Scientists. Who Should Apply Recent IT graduates looking to make their ...

Precise - Int

Entry-Level Financial Analyst

Boston, MA · On-site

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Responsibilities • Mapping and analyzing quantitative data • Preparing management reports • ...

SynergisticIT

Python Developer

Cambridge, MA · On-site

$55 - $75.75/hr

We are continuously looking for entry-level software programmers, Java full stack developers, Python/Java developers, data analysts/data scientists, data engineers, machine learning engineers for ...

Precise - Int

Entry-Level Financial Analyst

Boston, MA

$56K/yr

... Engineering, and Legal firms, in search of entry-level financial analysts for our rapidly growing ... Mapping and analyzing quantitative data * Preparing management reports * Managing cash flow and ...

Ikigai

Data Scientist

Cambridge, MA · On-site

They are seeking an Entry Level Data Scientist who will collaborate with clients to prepare and ... engineering and success teams to ensure smooth implementations and knowledge transfer.

Elutions

Domain Engineer

Boston, MA

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

Elutions

Domain Engineer

Boston, MA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

Elutions

Domain Engineer

Boston, MA · Remote

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

Elutions

Domain Engineer

Boston, MA · On-site

... training is available. ** Entry Level Candidates are Encouraged to Apply!!!** General ... Conduct research, data analytics, and prepare reports. * Grasp concepts related to fluid mechanics ...

RIT Solutions, Inc.

Azure SQL DBA

Boston, MA · On-site

$54.25 - $68/hr

Notes: Seeking a Strong Azure SQL DBA - Must have Azure Data Factory (ADF) and Databricks ... developers, perform all SQL server related IT tickets. The position is also responsible for SSRS ...

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All 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 Jun 30, 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
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.

Business Analyst

Qode

Boston, MA • On-site

Full-time

Posted 12 days ago

Job description

Role Overview
We are seeking a Business Analyst to support a large-scale data transformation program within the investment management and advisory domain. The role requires a strong functional understanding of investment data (public and private markets), combined with hands-on data analysis capabilities, including source-to-target mapping and SQL-based exploration. The analyst will act as a bridge between business stakeholders, data engineering teams, and platform architects to ensure accurate, high-quality data delivery aligned with business needs.
Key Responsibilities
  • Collaborate with business stakeholders (investment teams, research, performance reporting, client reporting) to gather, analyze, and document data requirements.
  • Translate business requirements into detailed functional specifications, including source-to-target mappings (STTM) for data migration and transformation initiatives.
  • Analyze source systems and data structures to understand data lineage, quality issues, and transformation logic.
  • Write and execute SQL queries for data profiling, validation, reconciliation, and root cause analysis.
  • Work closely with data engineering teams (ETL/ELT, Snowflake/Databricks environments) to ensure correct implementation of business rules.
  • Support data quality initiatives by defining validation rules, reconciliation logic, and exception handling processes.
  • Participate in data model reviews, ensuring alignment with investment domain concepts such as portfolios, securities, benchmarks, transactions, and performance metrics.
  • Assist in UAT planning and execution, including test case creation, defect tracking, and validation of transformed datasets.
  • Contribute to data governance practices, including metadata documentation, data lineage tracking, and glossary definitions.
  • Engage in Agile ceremonies and provide continuous feedback to improve delivery outcomes.

Required Skills and Experience
  • Strong understanding of investment management domain concepts, including:
  • Public markets (equities, fixed income)
  • Private investments (PE, VC, real assets)
  • Portfolio structures, holdings, transactions, benchmarks
  • Performance and attribution concepts

Other experiences:
  • Proven experience in data transformation or data migration programs within financial services or asset management.
  • Hands-on experience in creating source-to-target mappings and functional specifications for data pipelines
  • Strong SQL skills for data analysis, including joins, aggregations, window functions, and data validation queries.
  • Experience working with modern data platforms such as Snowflake, Databricks, or similar cloud-based ecosystems.
  • Familiarity with data warehousing concepts, dimensional modeling, and data lake architectures
  • Strong analytical thinking and ability to interpret complex datasets and business rules.
  • Experience working in Agile delivery environments.

Preferred Qualifications
  • Exposure to tools/platforms commonly used in investment data ecosystems (e.g., Bloomberg, FactSet, Aladdin, Burgiss, or similar).
  • Understanding of data governance frameworks, including data quality, lineage, and stewardship.
  • Experience with ETL/ELT tools or orchestration frameworks (e.g., Airflow).
  • Basic understanding of Python/PySpark for data analysis is a plus.
  • Prior experience in working with consulting firms or investment advisors is highly desirable.

Key Competencies
  • Strong communication skills with the ability to interact with both business and technical teams.
  • Attention to detail, especially in data mapping and validation activities.
  • Problem-solving mindset with the ability to identify data issues and propose solutions.
  • Ability to manage multiple priorities in a fast-paced transformation environment.

Apply