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Associate Data Engineer Jobs in Roxbury Crossing, MA

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

... Data Engineer (Associate) * 1+ years of experience building reliable, maintainable, and well-documented code * Ability to travel 50%, on average, based on the work you do and the clients and ...

About the Opportunity JOB SUMMARY The Associate AI Engineer will be responsible for designing ... Data Pipeline Engineering: Extensive experience with end-to-end data pipelines, data warehousing ...

AI Engineer

Boston, MA ยท On-site

$50K - $112K/yr

Within our Internal Firm Services practice, you will apply data, algorithms, and software ... As an Associate, you will focus on learning and contributing to projects while developing your ...

AI Engineer

Wakefield, MA ยท On-site

$110K - $150K/yr

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

Azure or Databricks certifications (e.g., Azure AI Engineer Associate, Azure Solutions Architect Expert, Databricks ML Professional, Databricks Data Engineer Professional) are a plus. We are GEI.

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Associate Data Engineer information

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How much do associate data engineer jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for associate data engineer in Roxbury Crossing, MA is $20.34, according to ZipRecruiter salary data. Most workers in this role earn between $16.68 and $21.68 per hour, depending on experience, location, and employer.

What does an associate data engineer do?

An Associate Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and databases. They work closely with senior data engineers and other IT professionals to ensure data is accessible, reliable, and efficiently processed for analytics and business use. Typical tasks include writing and testing code for data integration, troubleshooting data issues, and implementing data security best practices. This entry-level position is a foundational role that builds technical skills and experience in data engineering.

What are the key skills and qualifications needed to thrive as an associate data engineer?

To thrive as an Associate Data Engineer, you need a solid understanding of data modeling, SQL, Python, and foundational knowledge of database concepts, often backed by a degree in computer science or a related field. Familiarity with data warehousing tools (like AWS Redshift, Google BigQuery), ETL frameworks, and cloud platforms as well as industry certifications such as AWS Certified Data Analytics is beneficial. Strong problem-solving skills, attention to detail, and effective communication help you navigate complex data challenges and collaborate with teams. These abilities are crucial for ensuring data systems are reliable, scalable, and aligned with organizational goals.

What are some common challenges an associate data engineer may face when working with large-scale data pipelines?

As an Associate Data Engineer, you may often encounter challenges such as optimizing data pipeline performance, ensuring data quality, and troubleshooting bottlenecks when processing large volumes of data. Working with distributed systems can introduce complex issues like latency and data consistency. Collaborating effectively with data scientists, analysts, and senior engineers is crucial for aligning data infrastructure with evolving project requirements. Regularly learning new tools and best practices will help you adapt to these challenges and grow in your role.

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

AspectAssociate Data EngineerData Engineer
Required CredentialsBachelor's degree in CS, Data Science, or related field; basic knowledge of SQL and PythonBachelor's or Master's degree; advanced knowledge of SQL, Python, Spark, and cloud platforms
Work EnvironmentEntry-level, team-focused, often in tech or finance industriesMid to senior level, designing and maintaining data pipelines in various industries
Employer & Industry UsageCommon in tech companies, startups, and finance firmsUsed across industries for building scalable data infrastructure
Common Search & ComparisonOften compared for career progression and skill requirements

The Associate Data Engineer role is an entry-level position focusing on supporting data infrastructure, while the Data Engineer is a more advanced role responsible for designing and maintaining complex data systems. The roles share similar educational backgrounds and work environments but differ in experience level and responsibilities.

Is an associate data engineer entry level?

An associate data engineer is typically an entry-level position suitable for candidates with limited professional experience in data engineering. It often requires foundational skills in SQL, Python, or cloud platforms and serves as a starting point for a career in data engineering.

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

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

What are popular job titles related to Associate Data Engineer jobs in Roxbury Crossing, MA?

For Associate Data Engineer jobs in Roxbury Crossing, MA, the most frequently searched job titles are:

What cities near Roxbury Crossing, MA are hiring for Associate Data Engineer jobs?

Cities near Roxbury Crossing, MA with the most Associate Data Engineer job openings:

Infographic showing various Associate Data Engineer job openings in Roxbury Crossing, MA as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $42,312 per year, or $20.3 per hour.

Adjunct Instructor in Data Management, Integration, and Applied Analytics

Brandeis University

Waltham, MA โ€ข On-site

$6.5K/mo

Part-time

Re-posted 11 days ago


Job description

Brandeis University's Online Information Technology Management Program is seeking an Adjunct Faculty member for RITM 125 Data Management, Integration, and Applied Analytics for the Fall-2 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Information Technology Management.
This course focuses on enterprise data lifecycle management, data modeling, integration workflows, and applied analytics. Students work with data from multiple sources to design structures and processes that support decision-making, quality, and accessibility.
Core Course Responsibilities Summary
  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.
  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.
  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.
  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:
  • Required:
    • Master's degree in Data Science, Information Systems, Computer Science, Data Engineering, Business Analytics, or a closely related field
    • Minimum 3 years of professional experience in enterprise data management, data integration, analytics, or data architecture
    • Demonstrated expertise in data modeling, database design (SQL and NoSQL), ETL/ELT workflows, and data lifecycle management
    • Experience working with analytics tools or programming languages used in applied analytics (e.g., Python, R, SQL, Power BI, Tableau)
    • Minimum 1 year experience developing asynchronous online courses for adult learners in higher education
    • At least 1 year of teaching or training experience (preferably online/asynchronous)
    • Experience with online instruction
    • Excellent communication and teaching skills in an online learning environment.
  • Preferred:
    • Doctorate (PhD or DBA) in Data Science, Information Systems, Computer Science, Analytics, or related field
    • 5+ years of experience in data architecture, enterprise analytics strategy, data governance, or business intelligence leadership
    • Professional experience as a Data Architect, Data Engineer, Analytics Director, BI Lead, or Enterprise Data Strategist
    • Experience with enterprise data governance frameworks and data quality management practices
    • Industry certifications such as Certified Data Management Professional (CDMP), AWS Data Analytics, Azure Data Engineer Associate, Google Professional Data Engineer, or equivalent
    • Prior online teaching experience at the graduate level
    • Knowledge of global learner personas and culturally responsive pedagogy
    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:
A cover letter highlighting relevant qualifications and teaching experience.
A current CV or resume.
Contact information for three professional references.
Application review begins June 1, 2026 though we will continue to accept submissions on an ongoing basis.
This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.
Compensation for this positon is: $6573.15
Pay Range Disclosure
The University's pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate's work experience and education/training, internal peer equity, and applicable legal requirements.
Equal Opportunity Statement
Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").