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Data Engineer Entry Level Jobs in Brookline, MA (NOW HIRING)

... 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 ...

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

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

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

We solve process, automation, and data integration challenges in therapeutics, energy, and ... This is not a pure engineering role and it is not a pure sales role. The best fit is someone who ...

We solve process, automation, and data integration challenges in therapeutics, energy, and ... This is not a pure engineering role and it is not a pure sales role. The best fit is someone who ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Building trusted relationships with our network of engineering and sciences consultants under our ... data) * Performance-based incentives * Quarterly bonuses * All-expenses-paid annual trip for top ...

Showing results 21-40

Data Engineer Entry Level information

See Brookline, MA salary details

$48.1K

$140.3K

$192K

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

As of Sep 2, 2026, the average yearly pay for data engineer entry level in Brookline, MA is $140,342.00, according to ZipRecruiter salary data. Most workers in this role earn between $123,900.00 and $148,800.00 per year, depending on experience, location, and employer.

What does a data engineer entry level do?

An entry-level data engineer is responsible for designing, building, and maintaining systems that allow organizations to collect, store, and analyze large amounts of data. They typically work with databases, data pipelines, and cloud platforms to ensure data is accessible and reliable for analysis. Entry-level data engineers often assist with cleaning and transforming raw data, automating data workflows, and supporting data scientists and analysts. They also learn best practices in data security and performance optimization as they gain experience.

What are some typical projects or tasks that entry-level data engineers work on during their first year?

As an entry-level data engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of different data sources. You'll often collaborate with data analysts and more senior engineers to ensure data is accurate, accessible, and well-documented. Early projects might include automating data extraction processes, setting up basic ETL (Extract, Transform, Load) workflows, or optimizing database queries. These foundational responsibilities help build the technical and teamwork skills essential for career growth in data engineering.

What are the key skills and qualifications needed to thrive as an entry level data engineer, and why are they important?

To thrive as an Entry Level Data Engineer, you need foundational knowledge in programming (such as Python or SQL), data structures, and database management, often supported by a degree in computer science or a related field. Familiarity with ETL tools, cloud platforms (like AWS or Azure), and version control systems is typically expected. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with teams and adapt to evolving data needs. These skills ensure accurate data processing, efficient pipeline development, and successful integration within data-driven organizations.

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

AspectData Engineer Entry LevelData Analyst Entry Level
Required CredentialsBachelor's in CS, IT, or related field; some certifications (e.g., Google Cloud, AWS)Bachelor's in Statistics, Math, or related field; certifications like Microsoft Data Analyst
Work EnvironmentFocus on building data pipelines, databases, and infrastructureFocus on interpreting data, creating reports, and visualizations
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is keyBusiness intelligence, marketing, finance, and consulting firms

While both roles involve working with data, Data Engineer Entry Level focuses on developing and maintaining data infrastructure, whereas Data Analyst Entry Level emphasizes analyzing data to generate insights. Both roles require strong technical skills and are essential in data-driven organizations.

What are the most commonly searched types of Data Engineer jobs in Brookline, MA?

The most popular types of Data Engineer jobs in Brookline, MA are:

What are popular job titles related to Data Engineer Entry Level jobs in Brookline, MA?

For Data Engineer Entry Level jobs in Brookline, MA, the most frequently searched job titles are:

What job categories do people searching Data Engineer Entry Level jobs in Brookline, MA look for?

The top searched job categories for Data Engineer Entry Level jobs in Brookline, MA are:

What cities near Brookline, MA are hiring for Data Engineer Entry Level jobs?

Cities near Brookline, MA with the most Data Engineer Entry Level job openings:

Infographic showing various Data Engineer Entry Level job openings in Brookline, MA as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 17% Part Time, 1% Temporary, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $140,342 per year, or $67.5 per hour.

AIT - AI Data Scientist Senior Associate

Pwc

Boston, MA

$72K - $212K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 25 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data Science

Management Level

Senior Associate

Job Description & Summary

The Opportunity
As an AI Data Scientist Senior Associate, you will leverage advanced analytics and statistical techniques to transform raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will focus on building meaningful client connections, navigating complex situations, and growing your personal brand. You will be expected to anticipate the needs of your teams and clients, delivering quality solutions while embracing ambiguity and using these moments as opportunities to grow.
In this role at PwC, you will work on exploratory and descriptive analysis, statistical modeling, and creating data visualizations to solve complex business problems and inform strategic decisions. You will use a broad range of tools and methodologies to generate new ideas and solve problems, while maintaining professional and technical standards. This position offers a chance to deepen your understanding of the business context and how it is evolving, as well as to develop self-awareness and address development areas. You will interpret data to inform insights and recommendations, contributing to the firm's overall business strategies.
Responsibilities
- Leveraging advanced analytics and statistical techniques to extract insights from large datasets
- Designing and developing robust data solutions to transform raw data into actionable insights
- Conducting exploratory and descriptive analysis to inform strategic decision-making
- Utilizing machine learning algorithms and predictive modeling to solve complex business problems
- Creating data visualizations to effectively communicate insights and drive data-driven decisions
- Collaborating with clients to understand their data needs and deliver tailored solutions
- Managing data pipelines and confirming data quality and integrity throughout the analysis process
- Applying data science workflows and troubleshooting techniques to optimize performance
- Engaging in continuous learning to deepen technical skills and adapt to emerging technologies
- Mentoring junior team members and fostering a collaborative team environment
What You Must Have
- At least a Bachelor's degree
- At least 2 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Accounting, Analytics/Data Science, Artificial Intelligence/Robotics, Business Administration/Management, Computer Science/Information Systems, Cybersecurity, Engineering, Mathematics/Statistics, Operations/Supply Chain, Project/Technology Management, Risk Management/Insurance

- Applies statistical analysis, machine learning, data preparation, experimentation, and model evaluation techniques to develop and validate AI/ML solutions
- Utilizes Python, data science libraries, model validation methods, and modern AI/ML approaches, including generative AI where relevant, to communicate actionable insights to business and technical stakeholders
- Demonstrating proficiency in data science algorithms and workflows
- Utilizing machine learning and deep learning techniques effectively
- Excelling in complex data analysis and predictive modeling
- Leveraging experience with data engineering and data pipelines
- Applying knowledge of natural language processing and neural networks
- Navigating ambiguity while building meaningful client relationships

Travel Requirements

Up to 20%

Job Posting End Date

The salary range for this position is: $72,000 - $184,440. For residents of Washington state the salary range for this position is: $72,000 - $212,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

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Benefits

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Workplace

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK