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Associate Data Engineering Jobs in Boston, MA (NOW HIRING)

Grand Circle LLC

Sr Data Engineer

Boston, MA · On-site

$140K - $150K/yr

Data Engineering Manager Position Summary Grand Circle Corporation is the leader in international ... associate travel deals Your future, secured: 401(k) with company match, life insurance, and ...

Novartis

Associate Director, Data Science

Cambridge, MA · Hybrid

$160K - $297K/yr

Associate Director Location: Cambridge, MA Novartis is a leader in data science and model-informed ... engineering or related field). * PhD with 5+ years or MSc with 8+ years of relevant experience in ...

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ClifyX

Google Cloud Data Engineer

Boston, MA · On-site

$124K - $149K/yr

As part of our Intelligent Software Engineering practice, you will lead technology innovation for ... If Associate Degree, must have minimum 6 years work experience. Preferred Qualifications: * Minimum ...

PA Consulting

Senior Data Engineer

Boston, MA · Hybrid

$115K - $156K/yr

If you're excited about leveraging your data engineering skills to make a difference in the world ... Azure Data Engineer Associate * AWS Certified Data Analytics - Specialty * GCP Professional Data ...

Accenture

Google Data Specialist

Boston, MA · On-site

$70K - $196K/yr

Google Cloud certifications (Associate Cloud Engineer or Professional Data Engineer). * Experience working in agile delivery environments. Compensation at Accenture varies depending on a wide array ...

Pwc

Data Strategy-Manager

Boston, MA

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML - Proven leadership in data-driven strategies - Experience in ...

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All JobsAssociate Data Engineering JobsAssociate Data Engineering Jobs in Boston, MA

Associate Data Engineering information

See Boston, MA salary details

$15

$35

$61

How much do associate data engineering jobs pay per hour?

As of Jun 24, 2026, the average hourly pay for associate data engineering in Boston, MA is $35.93, according to ZipRecruiter salary data. Most workers in this role earn between $26.63 and $42.55 per hour, depending on experience, location, and employer.

What are some typical projects an Associate Data Engineer might work on in their first year?

In their first year, an Associate Data Engineer often works on building and maintaining data pipelines, cleaning and transforming raw data, and supporting the integration of new data sources. They may also assist in optimizing existing data workflows for better performance and reliability, as well as collaborating closely with data analysts and senior engineers to ensure data quality and accessibility. These projects help new team members develop a strong understanding of the organization's data infrastructure and best practices in data engineering.

What are the key skills and qualifications needed to thrive as an Associate Data Engineer, and why are they important?

To thrive as an Associate Data Engineer, a solid understanding of database systems, SQL, data modeling, and a relevant bachelor's degree in computer science or a related field is essential. Familiarity with ETL tools, cloud platforms like AWS or Azure, and programming languages such as Python or Java is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help set candidates apart in collaborative, data-driven environments. These skills and qualities are crucial for building reliable data pipelines, ensuring data quality, and enabling actionable business insights.

What is an Associate Data Engineer?

An Associate Data Engineer is an entry-level professional who assists in designing, building, and maintaining data pipelines and infrastructure. They typically work with senior data engineers to ensure data is collected, stored, and processed efficiently for analytics and business use. Responsibilities often include data cleaning, integration, and supporting the development of scalable data solutions. Associate Data Engineers usually have foundational knowledge of programming, databases, and cloud technologies.

What is the difference between Associate Data Engineering vs Data Engineer?

AspectAssociate Data EngineeringData Engineer
Required CredentialsBachelor's degree in CS, IT, or related field; some certificationsBachelor's or master's degree; extensive experience preferred
Work EnvironmentEntry-level, team-focused, supporting data pipelinesDesigning, building, and maintaining large-scale data systems
Employer & Industry UsageCommon in tech companies, finance, healthcareUsed across industries for advanced data infrastructure roles
Search & Comparison IntentEntry-level, learning, support rolesAdvanced, specialized data infrastructure roles

The main difference between Associate Data Engineering and Data Engineer lies in experience and responsibilities. Associate Data Engineers are typically entry-level, focusing on supporting data pipelines and gaining hands-on experience. Data Engineers have more experience, handling complex data architecture, optimization, and system design. Both roles require similar educational backgrounds, but Data Engineers usually have more technical expertise and responsibility.

What are the most commonly searched types of Data Engineering jobs in Boston, MA? The most popular types of Data Engineering jobs in Boston, MA are:
What cities near Boston, MA are hiring for Associate Data Engineering jobs? Cities near Boston, MA with the most Associate Data Engineering job openings:
Associate Data Engineering jobs near you
Associate Principal/Programmatic AdTech Engineer (Forensic Services practice)

Associate Principal/Programmatic AdTech Engineer (Forensic Services practice)

Charles River Associates

Boston, MA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 20 days ago

Job description

About Charles River Associates
CRA is a leading global consulting firm that provides independent economic and financial analysis behind litigation matters, guides businesses through critical strategy and operational issues to become more profitable, and advises governments on the economic impact of policies and regulations. Our two main services - economic and management consulting - are delivered by practice groups that focus on specific areas of expertise or industries. Click here to learn how CRA can help you launchyour career.
Position Overview
CRA's Forensic Services practice supports companies' commitment to integrity by assisting them and their counsel in independently responding to allegations of fraud, waste, abuse, misconduct, and non-compliance. We are noted for deploying cross-trained teams of forensic professionals to assist our clients in gaining deeper insights and greater value more quickly. We provide accounting and forensic services as well as cybercrime investigation services.
As an Associate Principal, you will lead projects that intersect the areas of data engineering, programmatic AdTech, AI, forensics, privacy risk management. In this role, you will serve as key subject matter expert, builder, and technical advisor across a portfolio of unique client problems. You'll use muscles you didn't know you had to solve client challenges and innovate solutions with nothing but the problem in front of you. You will lead, learn from, and work with a team of like-minded, supportive, gritty, and highly intelligent colleagues.
A day in the life consists of collaborating across client projects, supporting forensic investigations, advising upon programmatic AdTech data standards, dev work, structured data analysis, product management, and getting in the weeds with AI.
As an Associate Principal, you will:
  • Lead and support technical vision and execution for forensic investigations of advertising technology systems, privacy compliance, and data flows across web, mobile, and programmatic platforms.
  • Reverse-engineer complex AdTech products, programmatic supply chains, tracking tools, identity graphing frameworks, real-time bidding systems, and monetization controls.
  • Design and build forensic data pipelines, processing infrastructure, and investigatory tools used to process and analyze large-scale datasets (bid streams, impression logs, consent records).
  • Deploy AI and advanced tooling to support investigations, detect privacy compliance gaps, develop compliant data monetization strategy.
  • Serve as technical subject matter expert advising legal counsel and corporate executives on complex data, engineering, privacy, and AdTech challenges - translating complex technical findings into actionable business insights.
  • Lead cross-functional engagements requiring coordination across technical analysis, legal strategy, data engineering, and stakeholder communication under aggressive deadlines.
  • Mentor junior team members.
  • Contribute to internal initiatives.

Education
  • Bachelor's degree required; Computer Science, Software Engineering, Data Science, Information Systems or related technical field.

Experience
  • 8-10+ years in software engineering, progressive experience with at least two of the following domains:
    • Programmatic advertising technology, marketing technology platforms, or digital media ecosystems
    • Data engineering, analytics engineering, or large-scale data pipeline development
    • Privacy engineering, compliance technology, or regulatory risk assessment
    • Consulting delivery, expert services, or client-facing technical advisory roles
  • Representative portfolio projects, open source contributions, and/or other observable works.
  • Deep understanding of programmatic advertising architectures including supply-side platforms (SSPs), demand-side platforms (DSPs), data management platforms (DMPs), customer data platforms (CDPs), and ad exchanges
  • Knowledge of real-time bidding protocols, OpenRTB specifications, header bidding mechanics, prebid.js, and programmatic supply chain data flows
  • Understanding of identity graph methodologies including deterministic matching, probabilistic linkage, device graphs, and privacy-preserving cohort approaches

Technical Skills
  • Deep understanding of programmatic advertising architectures including supply-side platforms (SSPs), demand-side platforms (DSPs), data management platforms (DMPs), customer data platforms (CDPs), and ad exchanges.
  • Knowledge of real-time bidding protocols, OpenRTB specifications, header bidding mechanics, prebid.js, and programmatic supply chain data flows.
  • Understanding of identity graph methodologies including deterministic matching, probabilistic linkage, device graphs, and privacy-preserving cohort approaches.
  • Advanced proficiency in at least two programming languages: Python, SQL, R, JavaScript, or similar languages applicable to data analysis and tool development.
  • Experience with data engineering frameworks and tools: Apache Spark, Airflow, and modern data warehousing platforms (Snowflake, BigQuery, Redshift).
  • Competency in data manipulation, transformation, and analysis using pandas, NumPy, or equivalent libraries.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code approaches.
  • Experience building custom analytical applications.

To Apply
To be considered for a position in the United States, we require the following:
  • Resume - please include current address, personal email and telephone number;

If you are interested in applying for one of our international locations, please visit our Careers site to view and apply for available jobs.
Career Growth and Benefits
  • CRA's robust skills development programs, including a commitment to offering 100 hours of training annually through formal and informal programs, encourage you to thrive as an individual and team member. Beginning with research and analysis skill building, training continues with technical training, presentation skills, internal seminars, and career mentoring and performance coaching from an assigned senior colleague. Additional leadership and collaboration opportunities exist through internal firm development activities.
  • We offer a comprehensive total rewards program including a superior benefits package, wellness programming to support physical, mental, emotional and financial well-being, and in-house immigration support for foreign nationals and international business travelers.

Work Location Flexibility
CRA creates a work environment that enables our colleagues to benefit from being together in the office to best deliver on our promise of career growth, mentorship and inclusivity. At the same time, we recognize that individuals realize a range of benefits when working from home periodically. We currently expect that individuals spend at least 3 to 4 days a week working in the office (which may include traveling to another CRA office or to client meetings), with specific days determined in coordination with your practice or team.
Our Commitment to Equal Employment Opportunity
Charles River Associates is an equal opportunity employer (EOE). All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, status as a protected veteran, or any other protected characteristic under applicable law.
Salary and other compensation
A good-faith estimate of the annual base salary range for this position is $140,000 - $170,000. Stating pay within this range may vary based on factors such as education level, experience, skills, geographic location, market conditions, and other qualifications of the successful candidate. This position may be eligible for additional bonus incentive compensation.
CRA offers a comprehensive benefits package, subject to eligibility requirements, which may include: medical, dental, and vision insurance; 401(k) retirement plan with employer match; life and disability insurance; paid time off (vacation, sick leave, holidays); paid parental leave; wellness programs and employee assistance resources; and commuter benefits.

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