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

L3HHCM20

Senior Associate, Data Architect

Londonderry, NH · On-site

$84K - $156K/yr

Senior Associate, Data Architect Job Code : 43047 Job Location : Multiple (Rochester, NY, Melbourne ... Proficiency in Python and Git for data engineering tasks including scripting, automation, pipeline ...

L3HHCM20

Associate, Data Architect

Londonderry, NH

$74K - $138K/yr

Job Title: Associate, Data Architect Job Code: 43046 Job Location: Multiple (Rochester, NY ... Engineers and team members to understand data sources, structures, and pipelines that feed BI ...

Novartis

Clinical Data Engineering Lead

Cambridge, MA · On-site

$176K - $327K/yr

Novartis Biomedical Research (NBR) is searching for a visionary Associate Director to lead Clinical Data Engineering within our Oncology Data Science (OncDS) team. In this pivotal role, you'll be at ...

Partners Capital

Senior Associate, Data Engineer

Boston, MA · On-site

$115K - $156K/yr

... Boston data engineering team where the impact will be immediate and tangible. As a fast-growing, 400+ person company, we seek someone who is motivated, a self-starter, adaptable and comfortable ...

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

Associate Data Engineering information

See Lowell, MA salary details

$14

$32

$55

How much do associate data engineering jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for associate data engineering in Lowell, MA is $32.80, according to ZipRecruiter salary data. Most workers in this role earn between $24.33 and $38.85 per hour, depending on experience, location, and employer.

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 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 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 Lowell, MA?

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

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

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

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

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

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

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

Associate Data Engineering jobs near you
Infographic showing various Associate Data Engineering job openings in Lowell, MA as of August 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $68,229 per year, or $32.8 per hour.

Senior Associate, Data Architect

L3HHCM20

Londonderry, NH • On-site

$84K - $156K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

Job Title: Senior Associate, Data Architect 

Job Code: 43047

Job Location: Multiple (Rochester, NY, Melbourne, FL, Salt Lake City, UT, Londonderry, NH, Nashville, TN, Carlsbad, CA)

Job Schedule: 9/80:Employees work 9 out of every 14 days - totaling 80 hours worked, and have every other Friday off 

Job Description:

This position is responsible for designing, building, and maintaining scalable data infrastructure and integration solutions that enable segment-wide business intelligence and analytics capabilities. As a member of the CSD Business Intelligence team, the selected candidate will develop and optimize Azure Data Factory pipelines, manage data flows into Snowflake, build functional domain data models across disparate systems, and support advanced data initiatives including integration with Palantir Foundry.

Essential Functions:

  • Design, develop, and maintain Azure Data Factory pipelines and ETL/ELT workflows to ingest, transform, and load data into Snowflake from disparate source systems, ensuring reliable and timely data delivery for BI and analytics consumption
  • Develop functional domain data models across multiple business systems ensuring data is structured, consistent, and optimized for reporting and analytical use cases
  • Ensure data quality, reliability, and pipeline health through validation rules, reconciliation controls, completeness monitoring, and observability workflows
  • Collaborate with BI Analysts to ensure underlying data models and pipelines support Power BI dashboard and report development

Qualifications:

  • To be eligible, applicants must be pursuing a master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related technical field or have completed their master's degree within the last 12 months, regardless of age. 

Preferred Additional Skills:

  • Proficiency in Python and Git for data engineering tasks including scripting, automation, pipeline development, and modern development workflows
  • Experience with Palantir Foundry for data integration, pipeline development, and analytical workflow design
  • Experience with Microsoft Fabric, Azure Data Factory, or Azure Blob Storage for data engineering and pipeline orchestration
  • Knowledge of data governance concepts and familiarity with Microsoft Purview or similar platforms
  • Experience with Power BI semantic model development and familiarity with dbt for data transformation and modeling workflows

In compliance with pay transparency requirements, the salary range for this role in California, Massachusetts, New Jersey, Washington, and the Greater D.C. area, Denver, or NYC areas is $84,000 - $156,000. The salary range for this role in Colorado state, Hawaii, Illinois, Maryland, Minnesota, New York state, Cleveland Ohio, Vermont and Virginia is $73,000 - $136,000. This is not a guarantee of compensation or salary, as final offer amount may vary based on factors including but not limited to experience and geographic location. L3Harris also offers a variety of benefits, including health and disability insurance, 401(k) match, flexible spending accounts, EAP, education assistance, parental leave, paid time off, and company-paid holidays. The specific programs and options available to an employee may vary depending on date of hire, schedule type, and the applicability of collective bargaining agreements.

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