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Remote Data Processing Jobs in Massachusetts (NOW HIRING)

Senior Noise Consultant

Cambridge, MA · On-site +1

$90K - $120K/yr

... but other remote locations will also be considered. We're building a diverse and inclusive ... Familiarity with vibration or acoustics measurement instrumentation and related data processing ...

Develops andautomatesanalytical processes that can be deployedthroughoutthe organization to solve ... Remote options are available for non-local candidate. * The range for this position is $93,300 to ...

Martech Platform Data Lead

Westwood, MA · On-site +1

$140K - $183K/yr

... processes. * Drive data quality, metadata, taxonomy, and attribute standards for customer ... Hybrid: 4 days per week on-site, 1 day remote Pay Transparency The salary range for this position ...

Remote Who is IDEX Health & Science (IH&S)? As a business unit of IDEX Corporation, IH&S has a long ... Focused on assisting partners at every stage of the development processes, we invest in people and ...

You will have the opportunity to influence data quality strategy, improve processes and automation ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

You will have the opportunity to influence data quality strategy, improve processes and automation ... Job Location Burlington, MA (Boston) Work Arrangement Hybrid (3 days in office, 2 remote) Roles ...

Principal Noise Consultant

Cambridge, MA · On-site +1

$115K - $145K/yr

Houston, TX; Charlottesville, VA; or Huntsville, AL, but other remote locations will also be ... Familiarity with acoustics or vibration measurement instrumentation and related data processing ...

Showing results 41-60

Remote Data Processing information

See Massachusetts salary details

$13

$22

$38

How much do remote data processing jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for remote data processing in Massachusetts is $22.13, according to ZipRecruiter salary data. Most workers in this role earn between $17.60 and $24.42 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Processing vs Remote Data Analysis?

AspectRemote Data ProcessingRemote Data Analysis
Primary RoleHandling data input, cleaning, and preparationInterpreting data to generate insights and reports
Skills & CertificationsData management, SQL, basic scriptingStatistical analysis, data visualization, tools like Excel, R, Python
Work EnvironmentData warehouses, cloud platforms, databasesAnalysis tools, dashboards, reporting software
Industry UsageData management teams, IT departmentsBusiness intelligence, marketing, finance

Remote Data Processing focuses on preparing and managing raw data, while Remote Data Analysis involves interpreting that data to inform decisions. Both roles often require similar technical skills but differ in their core responsibilities and end goals.

What are some common challenges faced by professionals in remote data processing roles, and how can they be overcome?

Remote data processing professionals often encounter challenges such as ensuring data accuracy, managing large datasets, and maintaining clear communication with distributed teams. To overcome these, it's important to establish strong data validation protocols, use reliable tools for data management, and schedule regular virtual meetings to stay aligned with team objectives. Additionally, setting clear expectations and using collaborative platforms can help mitigate misunderstandings and improve workflow efficiency.

What is remote data processing?

Remote data processing refers to the collection, analysis, and management of data from a location outside of a traditional office setting, often using cloud-based tools and remote access technologies. Professionals in this role handle data entry, validation, organization, and sometimes basic analytics, ensuring data integrity and accessibility for organizations. This job typically requires strong computer skills, attention to detail, and the ability to work independently while maintaining data security and privacy protocols.

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

To thrive as a Remote Data Processing specialist, you need strong analytical skills, attention to detail, and proficiency in data entry and management, often supported by a relevant degree or experience in data-related roles. Familiarity with databases, spreadsheet software like Microsoft Excel or Google Sheets, and sometimes data processing tools such as SQL or Python is typically required. Excellent time management, self-motivation, and clear communication are essential soft skills for remote collaboration and meeting deadlines. These abilities ensure data accuracy, efficient processing, and effective teamwork in a remote work environment.

What are the most commonly searched types of Data Processing jobs in Massachusetts?

The most popular types of Data Processing jobs in Massachusetts are:

What job categories do people searching Remote Data Processing jobs in Massachusetts look for?

The top searched job categories for Remote Data Processing jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Data Processing jobs?

Cities in Massachusetts with the most Remote Data Processing job openings:

Infographic showing various Remote Data Processing job openings in Massachusetts as of August 2026, with employment types broken down into 60% Full Time, and 40% Contract. Highlights an 100% Remote job distribution, with an average salary of $46,036 per year, or $22.1 per hour.

Forward Deployed Engineer, Data Platform

Beacon Biosignals

Boston, MA • On-site, Remote

$150K - $170K/yr

Full-time

PTO

Posted 15 days ago


Job description

Beacon Biosignals is seeking a Forward Deployed Engineer to join our Datastore team. The Datastore sits at the heart of Beacon's platform, defining our foundational data model and serving as the centralized repository and API for brain data collected from clinical studies and home sleep tests. As we expand our partnerships and real-world data integrations, we are looking for an engineer who thrives at the intersection of data platforms, customer needs, and applied problem solving.

In this role, you will work directly with Beacon's external partners to understand their technical use cases, guide integrations with our APIs and datasets, and develop integrated solutions that enable them to unlock value from Beacon's data platform. Internally, you will collaborate closely with Datastore engineers, product managers, and scientific teams to translate partner needs into robust data models, tools, and workflows, and to improve our ability to troubleshoot and resolve client issues at scale.

This role emphasizes deploying and extending Beacon's data platform in real-world contexts, rather than building core infrastructure from scratch. You will develop PoCs and production-ready code, build analyses and dashboards, and create integration tooling that helps partners succeed with Beacon's data.

Beacon's robust asynchronous work practices ensure a first-class remote work experience, but we also have in-person office hubs in Boston, New York City and Paris.

What success looks like:
  • You work directly with external partners and customers to understand their data needs, analytical workflows, and technical constraints, and translate those into concrete solutions built on Beacon's Datastore
  • You lead technical conversations with partner engineers and data teams, supporting API integrations, successful adoption of data access patterns and practices, and downstream analytics
  • You design and implement solutions for customers, sometimes on the Beacon platform and sometimes on the customer's platform, to kickstart and expedite integration and provide examples that showcase and validate Beacon's data
  • You collaborate with the rest of the Datastore team to develop internal tools, queries, and workflows that improve observability, troubleshooting, and resolution of client data issues
  • You leverage feedback from partners and internal stakeholders to improve documentation, APIs, data models, and operational processes
  • You are comfortable with ambiguity and balance pragmatism with rigor, delivering solutions quickly while maintaining high standards for data integrity, correctness, and maintainability
What you will bring:
  • 5+ years of experience developing and supporting data platform solutions (hands' on coding is required for this position)
  • 3+ years in a customer-facing technical role, delivering solutions directly to external partners or clients
  • Strong proficiency in SQL, with hands-on experience designing and maintaining analytical or operational data models
  • Experience working directly with customers or external stakeholders to solve data-related problems, including requirements gathering, solution design, and delivery
  • Comfort operating across the stack-from querying and modeling data to writing application or integration code as needed
  • Proficiency in a data-oriented programming language such as Python, Julia, or R
  • Familiarity with APIs and data integration patterns (GraphQL or REST, batch exports and ELT/ETL, event sourcing, and the like)
  • Experience with modern analytics and BI tools such as Snowflake, Superset, Looker, or similar platforms
  • Excellent written and verbal communication skills, with the ability to explain technical concepts clearly to both technical and non-technical audiences
The salary range for this role is $150,000 - 170,000. Salary ranges are determined using current market compensation data for this role and adjusted based on experience, skills, and location.The base salary is one component of the total compensation package, which includes equity, PTO and other benefits.
 
At Beacon, we've found that cultural and scientific impact is driven most by those that lead by example. As such, we're always seeking new contributors whose work demonstrates an avid curiosity, a bias towards simplicity, an eye for composability, a self-service mindset, and - most of all - a deep empathy towards colleagues, stakeholders, users, and patients. We believe a diverse team builds more robust systems and achieves higher impact.
 
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