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Associate Data Engineer Jobs in Lowell, MA (NOW HIRING)

Sr. Data Engineer, Payment Operations

Boston, MA · On-site

$115K - $156K/yr

Every associate is expected - and empowered - to partner with AI to challenge the status quo ... Position Overview The Senior Data Engineer leads the engineering workstreams that underpin the ...

Data Strategy-Manager

Boston, MA · On-site

$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 ...

Data Governance- Manager

Boston, MA · On-site

$99K - $232K/yr

... Associate - SAP Master Data Governance (MDG) - SnowPro Core / SnowPro Advanced - Databricks Certified Data Engineer / Data Analyst / ML Travel Requirements Up to 80% Job Posting End Date The salary ...

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and ...

About this role Biogen is seeking an Associate Director, AI/Data Science to help lead the strategic ... Expert programming skills with Python, R, LLMs, or other languages applied to large, complex, and ...

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 ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

Showing results 21-40

Associate Data Engineer information

See Lowell, MA salary details

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How much do associate data engineer jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for associate data engineer in Lowell, MA is $18.83, according to ZipRecruiter salary data. Most workers in this role earn between $15.48 and $20.05 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 Lowell, MA?

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

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

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

What job categories do people searching Associate Data Engineer jobs in Lowell, MA look for?

The top searched job categories for Associate Data Engineer jobs in Lowell, MA are:

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

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

Infographic showing various Associate Data Engineer job openings in Lowell, MA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $38,653 per year, or $18.6 per hour.

Principal Associate, Ontology and Data Modeling

Capital One

Cambridge, MA • On-site

$64K - $65K/yr

Full-time

Posted 5 days ago


Capital One rating

7.8

Company rating: 7.8 out of 10

Based on 148 frontline employees who took The Breakroom Quiz

89th of 175 rated banks


Job description

Principal Associate, Ontology and Data Modeling

The role of the Principal Associate of Ontology and Data Modeling is to develop, implement, and maintain enterprise ontologies in support of Capital One's Data Strategy.

The Principal Associate of Ontology and Data Modeling, as part of Finance Products and Data Solutions, will be responsible for working collaboratively across Finance and Enterprise partners to develop domain ontologies in support of Enterprise initiatives. We are looking for someone to champion the creation and adoption of standardized data. The Principal Associate of Ontology and Data Modeling will be responsible for partnering with Technology, Product, and other Capital One teams to support the development and integration of semantic technology into Capital One products and services.

The Principal Associate of Ontology and Data Modeling should be capable of supporting an emerging and evolving semantic program at Capital One, capable of clearly communicating and advocating the value of using semantic technology and knowledge organization concepts.

Primary Responsibilities

  • Develop, implement and govern ontologies and optimized data models in consultation with stakeholders in teams dedicated to improving data discoverability, search, and product development

  • Contribute to data integration and mapping efforts to harmonize data with Capital One's upper and domain ontologies

  • Communicate and advocate the value of Capital One's efforts in ontologies, semantics, and standardization across the business.

  • Partner with Technology, Machine Learning, and other Capital One teams to support the development and integration of semantics in Capital One products and services

  • Analyze and implement knowledge organization strategies using tools capable of machine learning, ontology management, and semantic enrichment

  • Maintain awareness of competitor and industry developments related to ontology use, knowledge organization, data modeling, and machine learning

  • Understand and adhere to W3C standards related to ontologies, in particular RDF, RDFS, OWL, SKOS, and SHACL

  • Develop standards, guidelines, and direction for ontology, data modeling, semantics and Data Standardization in general at Capital One

  • Test/troubleshoot new or updated models and systems

  • Manage and oversee other projects as assigned by Product Owners and Supervisors

Role-Based Competencies

  • Intellectually Curious. You ask why, you explore, you're not afraid to blurt out your crazy idea or follow an email chain for weeks to find someone with an answer. Comfortable with ambiguity, a hunger to learn and a seeker of new challenges

  • Communicator & Influencer. You can communicate complex ideas clearly regardless of your audience. Our team knows their priorities and why they're doing what they're doing. You always can rally associates to work with you

  • Do-er. You're biased toward action, you try things and sometimes you fail. You can get around roadblocks and stay focused on your goals. You're well organized, able to multitask and able to prioritize your work

  • Passionate & Customer Focus. You care about growing others and bringing them together around what's possible. You get a thrill from the journey of building and shipping products, and you have a desire and ability to connect with our external or internal customers to fully understand their needs

  • Learner. You have an appetite to learn new things or new technologies all while exhibiting humbleness when the time comes to ask for help

  • Team Player. You enjoy working with diverse people and driving the team toward a common goal. You have the ability to put the team before yourself and establish long-lasting relationships

Basic Qualifications

  • Bachelor's degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience in a metadata field of work or a masters' degree in information science, computer science, engineering, library science, ontology, semantics, computational linguistics or a combination

  • At least 3 years' experience or training in using W3C standards including linked and canonical data and ontologies ( JSON, XML, RDF, RDFS, OWL, and SKOS)

  • At least 3 years' experience or training in ontology and linked data tools (Protege, TopQuadrant, PoolParty, Stardog, AnzoGraph, Neptune, or Data.World)

  • At least 3 years' experience of experience with SQL, SPARQL, or a combination

Preferred Qualifications

  • Master's degree in information science, computer science, engineering, library science, ontology, semantics or computational linguistics

  • Understanding of the development of ontologies and the use of controlled vocabularies and thesauri in enhancing the discovery of management of enterprise data

  • Familiarity with graph databases and technologies

  • Familiarity with Python or R

  • Familiarity with JSON, OpenAPI/YAML, AVRO

  • Familiarity with Agile principles, processes, and methodologies

  • Familiarity with Amazon Web Services

  • Detail-oriented and an ability to problem-solve independently

  • Strong reading and writing skills

  • Strong project management experience

  • Excellent communication skills and the ability to present ideas clearly and with confidence.

  • Ability to work individually and with a team to meet deadlines

At this time, Capital One will not sponsor a new applicant for employment authorization for this position.

The minimum and maximum full-time annual salaries for this role are listed below, by location. Please note that this salary information is solely for candidates hired to perform work within one of these locations, and refers to the amount Capital One is willing to pay at the time of this posting. Salaries for part-time roles will be prorated based upon the agreed upon number of hours to be regularly worked.

Cambridge, MA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


McLean, VA: $131,300 - $149,800 for Principal Associate, Ontology and Data Modeling


New York, NY: $143,200 - $163,500 for Principal Associate, Ontology and Data Modeling


Plano, TX: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling


Richmond, VA: $119,400 - $136,200 for Principal Associate, Ontology and Data Modeling







Candidates hired to work in other locations will be subject to the pay range associated with that location, and the actual annualized salary amount offered to any candidate at the time of hire will be reflected solely in the candidate's offer letter.

This role is also eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). Incentives could be discretionary or non discretionary depending on the plan.

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Learn more at theCapital One Careers website. Eligibility varies based on full or part-time status, exempt or non-exempt status, and management level.

This role is expected to accept applications for a minimum of 5 business days.No agencies please. Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace. Capital One will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries, including, to the extent applicable, Article 23-A of the New York Correction Law; San Francisco, California Police Code Article 49, Sections 4901-4920; New York City's Fair Chance Act; Philadelphia's Fair Criminal Records Screening Act; and other applicable federal, state, and local laws and regulations regarding criminal background inquiries.

If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at RecruitingAccommodation@capitalone.com. All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.

For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com

Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).


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