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Entry Level Ibm Data Engineer Jobs in Boston, MA

Amaris Consulting

Senior Data Engineer

Cambridge, MA · On-site

$115K - $157K/yr

We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare ... entry level * A strong training system with our internal Academy and more than 250 modules ...

Pwc

Data Engineer - Senior Associate

Boston, MA

$77K - $202K/yr

... a Data Engineer - Senior Associate, you will focus on designing and building data infrastructure ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

Pwc

AI Engineer

Boston, MA · On-site

$55K - $187K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

VHB

Entry Level Traffic Engineer

Boston, MA · Hybrid

$80K - $83K/yr

... an Entry-Level Traffic Engineer to join our Transportation Planning & Operations group. The ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

VHB

Entry Level Traffic Engineer

Watertown, MA · Hybrid

$80K - $83K/yr

... an Entry-Level Traffic Engineer to join our Transportation Planning & Operations group. The ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

VHB

Entry Level Traffic Engineer

Watertown, MA · Hybrid

$80K - $83K/yr

... an Entry-Level Traffic Engineer to join our Transportation Planning & Operations group. The ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

VHB

Entry Level Traffic Engineer

Boston, MA · Hybrid

$80K - $83K/yr

... an Entry-Level Traffic Engineer to join our Transportation Planning & Operations group. The ... Safety studies and data analysis * Active transportation assessments * Transportation planning and ...

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 • ...

Pwc

AIT - AI Data Scientist Senior Associate

Boston, MA

$72K - $212K/yr

... Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

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 ...

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All JobsIbm Data Engineer JobsEntry Level Ibm Data Engineer JobsEntry Level Ibm Data Engineer Jobs in Boston, MA

Entry Level Ibm Data Engineer information

See Boston, MA salary details

$48.3K

$140.9K

$192.8K

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

As of Aug 5, 2026, the average yearly pay for entry level ibm data engineer in Boston, MA is $140,924.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $149,400.00 per year, depending on experience, location, and employer.

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

To thrive as an Entry Level IBM Data Engineer, you need foundational knowledge in data modeling, SQL, programming (such as Python or Java), and a relevant degree in computer science or a related field. Familiarity with IBM data tools like Db2, IBM Cloud Pak for Data, and ETL platforms, as well as certifications such as IBM Certified Data Engineer, are highly beneficial. Strong analytical thinking, problem-solving abilities, and effective communication help you collaborate with teams and interpret business requirements. These skills ensure you can design, build, and maintain reliable data solutions that support organizational decision-making and innovation.

What is the difference between Entry Level Ibm Data Engineer vs Data Analyst?

AspectEntry Level Ibm Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Science, or related field; IBM certifications beneficialBachelor's in Statistics, Mathematics, or related field; often requires proficiency in SQL and Excel
Work EnvironmentTech companies, data-driven organizations, often with cloud and IBM toolsBusiness environments, marketing, finance, with focus on data interpretation
Employer & Industry UsageUsed in IT, technology, and enterprise sectors utilizing IBM data toolsCommon across various industries for reporting and insights

While both roles involve working with data, Entry Level Ibm Data Engineers focus on building and maintaining data pipelines using IBM technologies, whereas Data Analysts primarily interpret data to generate reports and insights. The engineering role requires technical skills in data architecture, while analysts focus on data visualization and business understanding.

What does an entry level IBM data engineer do?

An Entry Level IBM Data Engineer is responsible for assisting in the design, development, and maintenance of data systems using IBM technologies and tools. They work with large datasets to extract, transform, and load (ETL) data, ensure data quality, and support data analytics initiatives. Typically, they collaborate with data scientists, analysts, and other engineers to support business intelligence, reporting, and machine learning projects. This role is ideal for those starting their careers in data engineering and often requires knowledge of programming languages like Python or SQL, as well as IBM software such as Db2 or IBM Cloud Pak for Data.

What are some common challenges faced by entry level IBM data engineers when working on data integration projects?

Entry-level IBM Data Engineers often face challenges such as understanding complex legacy data systems, ensuring data quality during migration, and aligning data formats across different sources. Collaborating with cross-functional teams—including business analysts, database administrators, and senior engineers—can help address these issues, but it requires strong communication skills and a willingness to ask questions. Over time, familiarity with IBM tools like DataStage and Cloud Pak for Data, along with hands-on experience, helps new engineers overcome these initial hurdles and contribute more effectively to integration projects.
What are the most commonly searched types of Ibm Data Engineer jobs in Boston, MA? The most popular types of Ibm Data Engineer jobs in Boston, MA are:
What are popular job titles related to Entry Level Ibm Data Engineer jobs in Boston, MA? For Entry Level Ibm Data Engineer jobs in Boston, MA, the most frequently searched job titles are:
What job categories do people searching Entry Level Ibm Data Engineer jobs in Boston, MA look for? The top searched job categories for Entry Level Ibm Data Engineer jobs in Boston, MA are:
Entry Level Ibm Data Engineer jobs near you
Infographic showing various Entry Level Ibm Data Engineer job openings in Boston, MA as of June 2026, with employment types broken down into 76% Full Time, 22% Part Time, and 2% Contract. Highlights an 90% Physical, 2% Hybrid, and 8% Remote job distribution, with an average salary of $140,924 per year, or $67.8 per hour.

Senior Data Engineer

Amaris Consulting

Cambridge, MA • On-site

$115K - $157K/yr

Other

Posted 19 days ago

Job description

We are looking for a Senior Data Engineer to join a multidisciplinary team focused on healthcare data engineering, analytics, and AI-driven solutions. In this role, you will work with large-scale physiological, medical device, and electronic medical record (EMR) datasets to support data quality, predictive modeling, and advanced analytics initiatives.

You will collaborate with data scientists, software engineers, biomedical specialists, and IT teams to ensure reliable data pipelines, investigate data integrity issues, and contribute to the development and validation of machine learning models.


Location

Cambridge, Massachusetts, USA (On-site)


Key Responsibilities

  • Retrieve, explore, and analyze data stored in Amazon S3 using AWS Athena and Amazon SageMaker.
  • Perform data wrangling by identifying missing data, time synchronization issues, anomalies, and measurement artifacts.
  • Transform and parse CSV and XML datasets into scalable databases such as InfluxDB.
  • Develop and maintain batch processing workflows using Python and Bash to inventory, process, and validate incoming device data.
  • Investigate data quality issues through Athena, SageMaker, and Jupyter Notebooks to identify problems related to data curation, system configuration, storage, or performance.
  • Troubleshoot data transfer and collection issues in collaboration with biomedical teams, IT stakeholders, and internal engineering teams.
  • Analyze physiological, vital sign, and EMR datasets to support predictive analytics and AI/ML model development.
  • Validate statistical and machine learning outputs by comparing Python-generated results with SAS analyses produced by biostatistics teams.
  • Simulate retrospective healthcare datasets using a Virtual Hospital Simulator to evaluate and test surveillance algorithms.
  • Contribute to continuous improvements in data engineering processes, data quality, and analytical workflows.


Required Qualifications

  • 7–10 years of experience in Data Engineering, Data Analytics, or a related technical field.
  • Strong proficiency in Python for data processing and automation.
  • Experience with AWS services, particularly Amazon S3, Athena, and SageMaker.
  • Experience working with Jupyter Notebooks.
  • Solid understanding of ETL processes, data transformation, and data validation.
  • Experience handling structured and semi-structured data formats, including CSV and XML.
  • Familiarity with batch scripting using Bash.
  • Strong analytical and troubleshooting skills with a focus on data quality and integrity.
  • Experience working with SQL and large datasets.
  • Excellent communication and collaboration skills in cross-functional environments.


Nice to Have

  • Experience with InfluxDB or other time-series databases.
  • Knowledge of AI/ML workflows and predictive analytics.
  • Experience working with physiological, medical device, or EMR data.
  • Familiarity with SAS and statistical validation processes.
  • Experience in the healthcare, medical technology, or life sciences industry.
  • Exposure to biomedical data analysis or clinical data environments.


Why choose us

  • An international community bringing together more than 110 different nationalities
  • An environment where trust is central: 70% of our leaders started their careers at the entry level
  • A strong training system with our internal Academy and more than 250 modules available
  • A dynamic work environment that frequently comes together for internal events (afterworks, team buildings, etc.)


Amaris Consulting promotes equal opportunities. We are committed to bringing together people from diverse backgrounds and creating an inclusive work environment. In this regard, we welcome applications from all qualified individuals, regardless of sex, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.


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