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Remote Data Engineering Jobs in Massachusetts (NOW HIRING)

In this highly visible role, you will partner with Engineering, Product, Data Operations, Client ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Senior Data Engineer

Boston, MA · Remote

$115K - $156K/yr

This is a hands-on senior engineering role for someone who enjoys solving real technical problems ... This role is primarily remote, US-based, and operates largely in EST hours, with occasional travel ...

Software engineering and/or Data Engineering background, especially in one of the major clouds ... Support, even from afar, with our remote assistance. Regular salary reviews? You betcha! Ready to ...

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Serve as a security subject matter expert to engineering, architecture, and development teams.

Senior Data Protection Engineer (REMOTE)

Worcester, MA · Remote

$114K - $156K/yr

... Data Protection Engineer to join our IT Security organization in Worcester, MA or in a remote ... Serve as a security subject matter expert to engineering, architecture, and development teams.

Data Architect

Boston, MA · Remote

$69.25 - $89/hr

... remote global workforce. If you are passionate about leading large-scale cloud and data ... Collaborate with Enterprise Architects, Cloud Architects, Data Engineers, and Analytics teams to ...

Showing results 41-60

Remote Data Engineering information

See Massachusetts salary details

$48.6K

$141.7K

$193.9K

How much do remote data engineering jobs pay per year?

As of Aug 10, 2026, the average yearly pay for remote data engineering in Massachusetts is $141,666.00, according to ZipRecruiter salary data. Most workers in this role earn between $125,000.00 and $150,200.00 per year, depending on experience, location, and employer.

How do remote data engineers typically collaborate with other team members across different time zones?

Remote data engineers often work with distributed teams, which requires strong communication and organization skills. They collaborate using tools like Slack, Zoom, and project management platforms to stay aligned on data pipeline development, troubleshooting, and deployment. Regular stand-ups, asynchronous documentation, and clear communication of progress are essential for ensuring everyone is on the same page, regardless of location. Flexibility in working hours and proactive scheduling of meetings help facilitate effective collaboration and project delivery.

What is remote data engineering?

Remote data engineering involves designing, building, and maintaining data systems and pipelines while working from a location outside of a traditional office. Remote data engineers use tools to collect, process, and store large sets of data, making it accessible for analysis and business decision-making. They collaborate with teams virtually, often using cloud-based technologies, to ensure that data infrastructure is reliable, scalable, and secure. This role requires strong technical skills in programming, databases, and data architecture, as well as the ability to communicate effectively in a distributed work environment.

What are the key skills and qualifications needed to thrive as a remote data engineer?

To thrive as a Remote Data Engineer, you need strong programming skills (such as Python, Java, or Scala), experience with data modeling, ETL processes, and a solid understanding of database systems, often supported by a degree in computer science or a related field. Proficiency with big data tools like Apache Spark, Hadoop, cloud platforms (AWS, Azure, GCP), and certifications in these technologies is highly valued. Excellent problem-solving abilities, self-motivation, and clear communication are crucial soft skills for remote collaboration and project delivery. These competencies ensure effective data pipeline development, reliable data management, and seamless teamwork across distributed environments.

Can you work remotely as a data engineer?

Yes, remote data engineering roles are common, allowing professionals to work from various locations. These jobs often require strong skills in SQL, cloud platforms, and data pipeline tools, and may involve collaboration through online communication tools.

What is the difference between Remote Data Engineering vs Remote Data Analyst?

AspectRemote Data EngineeringRemote Data Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; experience with SQL, Python, cloud platformsBachelor's in Statistics, Data Science, or related; proficiency in Excel, SQL, visualization tools
Work EnvironmentBuilds data pipelines, manages databases, works with cloud infrastructureAnalyzes data sets, creates reports, visualizes data insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceMarketing agencies, finance, retail, consulting

Remote Data Engineering focuses on designing and maintaining data infrastructure, while Remote Data Analysts interpret data to provide insights. Both roles require strong analytical skills but differ in technical depth and responsibilities.

What are the most commonly searched types of Data Engineering jobs in Massachusetts? The most popular types of Data Engineering jobs in Massachusetts are:
What cities in Massachusetts are hiring for Remote Data Engineering jobs? Cities in Massachusetts with the most Remote Data Engineering job openings:
Infographic showing various Remote Data Engineering job openings in Massachusetts as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% Remote job distribution, with an average salary of $141,666 per year, or $68.1 per hour.

Senior Data Quality Analyst

IQVIA

Burlington, MA • On-site, Remote

Full-time

Medical, Life

Posted 27 days ago


IQVIA rating

8.1

Company rating: 8.1 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

61st of 223 rated it services


Job description

About Cedar Gate Technologies

Cedar Gate Technologies, an IQVIA business, enables payers, providers, employers, and service administrators to excel at value-based care with a unified technology and services platform delivering analytics, care, and payment technology on a single data management foundation. At Cedar Gate, you'll be part of a collaborative, innovative environment where great ideas thrive. We invest deeply in our people through ongoing training, comprehensive benefits, and a strong culture of teamwork, offering the chance to grow your skills while contributing to high impact initiatives for some of the world's most dynamic companies.

Position Summary

As a Senior Data Quality Analyst at Cedar Gate Technologies, an IQVIA business, you will play a critical role in ensuring the accuracy, integrity, and reliability of healthcare data that powers our industry-leading analytics platform. You will work with complex healthcare datasets, including medical claims, pharmacy claims, eligibility, provider, member, and reference data, helping to ensure that clients can confidently rely on the insights generated from our solutions.

In this highly visible role, you will partner with Engineering, Product, Data Operations, Client Support, and offshore teams to validate data, investigate and resolve quality issues, strengthen governance practices, and drive continuous improvement across the data lifecycle. You will have the opportunity to influence data quality strategy, improve processes and automation, mentor team members, and serve as a trusted subject matter expert in healthcare data quality. Your work will directly impact product performance, client satisfaction, and the quality of analytics delivered to healthcare organizations nationwide.

Job Location

Burlington, MA (Boston)

Work Arrangement

Hybrid (3 days in office, 2 remote)

Roles & Responsibilities

  • Lead data quality validation efforts across medical claims, pharmacy claims, eligibility, provider, member, and reference data.
  • Perform data profiling, reconciliation, ETL validation, anomaly detection, and root cause analysis.
  • Design and execute test plans, validation rules, regression testing, and quality control processes.
  • Partner with cross-functional teams to investigate data issues, assess business impact, and validate corrective actions.
  • Develop complex SQL queries for data analysis, defect investigation, and quality reporting.
  • Establish and monitor data quality metrics, KPIs, and governance standards.
  • Support data quality tooling, observability, and automation initiatives.
  • Mentor Data Quality Analysts and coordinate activities with offshore resources.
  • Ensure compliance with HIPAA, data privacy, security, and regulatory requirements.

Experience / Qualifications

  • 5+ years of experience in healthcare data analysis, data quality, data operations, or data engineering; 8+ years preferred.
  • 3+ years of experience validating U.S. healthcare claims data, including medical, pharmacy/Rx, eligibility, provider, and member data.
  • Strong knowledge of healthcare payer data, claims processing, benefit design, coding systems (ICD-10, CPT, HCPCS, NDC), and PBM data concepts.
  • Advanced SQL skills and experience with data profiling, reconciliation, and defect analysis.
  • Experience with cloud data platforms, data warehouses, ETL validation, and data quality or observability tools.
  • Familiarity with Tableau, Power BI, Python, Excel, Jira, or similar tools.
  • Strong communication, analytical, problem-solving, and mentoring skills.
  • Bachelor's degree in a related field or equivalent experience.
  • Preference will be given to those with experience in healthcare analytics, EDI transactions (837/835/834), data governance platforms, client-facing support, and leadership of data quality initiatives.
  • To be eligible for this position, you must reside in the same country where the job is located.

IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more athttps://jobs.iqvia.com

IQVIA is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other status protected by applicable law. https://jobs.iqvia.com/eoe

IQVIA is committed to integrity in our hiring process and maintains a zero tolerance policy for candidate fraud. All information and credentials submitted in your application must be truthful and complete. Any false statements, misrepresentations, or material omissions during the recruitment process will result in immediate disqualification of your application, or termination of employment if discovered later, in accordance with applicable law. We appreciate your honesty and professionalism.

The potential base pay range for this role, when annualized, is $56,100.00 - $140,300.00. The actual base pay offered may vary based on a number of factors including job-related qualifications such as knowledge, skills, education, and experience; location; and/or schedule (full or part-time). Dependent on the position offered, incentive plans, bonuses, and/or other forms of compensation may be offered, in addition to a range of health and welfare and/or other benefits.

What IQVIA employees say

Pay

Benefits

Hours and flexibility

Workplace

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IQVIA logo

About IQVIA

Sourced by ZipRecruiter

At IQVIA, we are passionate about helping customers and partners improve results and patient outcomes. Everything we do contributes to this vision for creating a healthier world. In today’s healthcare environment, it’s not only about how much data, information, and technology you have at your fingertips – it’s what you do with it. IQVIA is focused on making intelligent connections for customers across the entire healthcare ecosystem to help you drive healthcare forward. Whether that means partnering with novel technology companies to boost patient engagement, leveraging AI & machine learning to accelerate results, or using decentralized trials to reach the right patients wherever they are – we are always looking for smarter ways to move you forward.

Industry

Health care and social assistance

Company size

10,000+ Employees

Headquarters location

Durham, NC, US