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Data Processing Services Jobs in Boston, MA (NOW HIRING)

AI Data Engineer

Boston, MA · Remote

$117K - $140K/yr

Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services. * Hands-on experience with big data frameworks like Apache Spark for distributed ...

AI Data Engineer

Boston, MA · On-site +1

$124K - $149K/yr

Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services. * Hands-on experience with big data frameworks like Apache Spark for distributed ...

Build and optimize ETL/ELT processes for structured, semi-structured, and unstructured data ... Integrate Databricks with cloud-native services and enterprise applications. Seqera Platform ...

Be Seen First

... process, analyze, and access large-scale scientific and business datasets. This role requires ... cloud-native services and enterprise applications. · Seqera Platform & Scientific Workflow ...

... data processing and analysis. You will be responsible for developing and implementing data ... services such as S3, Amazon RDS, DynamoDB, Azure Data Lake Storage, Azure Cosmos DB, Azure SQL DB ...

Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Continuously experiment and iterate on model performance, tuning architectures and ...

Utilize cloud platforms (e.g., Amazon Web Services) for large-scale data processing, model training, and deployment. Continuously experiment and iterate on model performance, tuning architectures and ...

Showing results 21-40

Data Processing Services information

See Boston, MA salary details

$13

$22

$37

How much do data processing services jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data processing services in Boston, MA is $22.02, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $24.28 per hour, depending on experience, location, and employer.

What are career opportunities in data processing services?

Career opportunities in data processing services include roles such as data analyst, data entry clerk, database administrator, and data engineer. These positions often require skills in data management tools, programming languages like SQL or Python, and attention to detail. Opportunities exist across industries such as finance, healthcare, and technology, with some roles requiring certifications or experience in data security and quality assurance.

What is the difference between Data Processing Services vs Data Analysts?

AspectData Processing ServicesData Analysts
Primary RoleHandling data entry, cleaning, and preparation for analysisInterpreting data, generating insights, and creating reports
Required SkillsData management, basic software proficiency, attention to detailStatistical analysis, data visualization, critical thinking
Work EnvironmentData centers, offices, remote data teamsOffices, research teams, business units
CertificationsData management certifications, basic IT skillsData analysis certifications, statistical tools proficiency

Data Processing Services focus on preparing and managing raw data, while Data Analysts interpret this data to provide actionable insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What is a data processing service?

A data processing service involves collecting, organizing, and converting raw data into a usable format for analysis or decision-making. Data processing professionals often use tools like databases, spreadsheets, and programming languages to perform tasks such as data entry, validation, and transformation, ensuring data accuracy and integrity.

What does a data processing services job do?

A data processing services job involves collecting, organizing, and analyzing data to ensure accuracy and usability. It often requires skills in data entry, database management, and familiarity with tools like Excel or specialized software, with attention to detail and data security being important aspects.
What are popular job titles related to Data Processing Services jobs in Boston, MA? For Data Processing Services jobs in Boston, MA, the most frequently searched job titles are:
What cities near Boston, MA are hiring for Data Processing Services jobs? Cities near Boston, MA with the most Data Processing Services job openings:
Infographic showing various Data Processing Services job openings in Boston, MA as of August 2026, with employment types broken down into 80% Full Time, and 20% Part Time. Highlights an 100% In-person job distribution, with an average salary of $45,795 per year, or $22 per hour.

AI Data Engineer

C the Signs

Boston, MA • Remote

$117K - $140K/yr

Full-time

Re-posted 22 days ago


Job description

Position Summary

The Data Engineer will play a crucial role in developing and fine-tuning data specifically for our LLMs and machine learning models. This individual will be responsible for the entire data lifecycle, including gathering, cleaning, structuring, and optimizing large, diverse healthcare datasets. The ideal candidate will have a strong background in data engineering principles, experience with big data technologies, and a keen understanding of the unique challenges and requirements of healthcare data.

You will design, build, and maintain scalable data pipelines that source, preprocess, and deliver high-quality, high-volume datasets to our machine learning engineers. This role requires a deep understanding of data engineering best practices coupled with specific knowledge of the data requirements for LLM training and refinement

Key Responsibilities
  • Collaborate with data scientists and machine learning engineers to understand data requirements for LLM and machine learning model fine-tuning.
  • Design, build, and maintain scalable data pipelines to ingest, process, and store massive and diverse healthcare datasets.
  • Implement robust data validation and monitoring to ensure the integrity, accuracy, and consistency of all training datasets.
  • Implement robust data cleaning, validation, and transformation processes to ensure data quality and integrity.
  • Develop and optimize data structures and schemas for efficient access and utilization by LLMs and machine learning models.
  • Work with the team to identify and acquire new data sources, ensuring compliance with relevant healthcare regulations (e.g., HIPAA).
  • Monitor data pipeline performance, troubleshoot issues, and implement optimizations to improve efficiency and reliability.
  • Document data engineering processes, data models, and data dictionaries.
  • Stay up-to-date with the latest advancements in data engineering, big data technologies, and machine learning.

Requirements

Required
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • Proven experience as a Data Engineer, with a focus on big data technologies.
  • Strong proficiency in programming languages such as Python, Scala, or Java.
  • Extensive experience with data warehousing, ETL processes, and data modeling.
  • Experience with major cloud providers (e.g., AWS, GCP, Azure) and their data storage and processing services.
  • Hands-on experience with big data frameworks like Apache Spark for distributed processing.
  • Excellent problem-solving skills and the ability to work independently and as part of a team.
  • Strong communication and interpersonal skills.
Preferred
  • Master's degree in a related field.
  • Experience with healthcare data and a good understanding of healthcare data standards (e.g., FHIR, HL7).
  • Familiarity with machine learning concepts and LLM fine-tuning processes.
  • Experience with data orchestration tools (e.g., Apache Airflow).
Work Authorization:
    • Must be a US Citizen, Green Card holder, or currently in the US have valid H1B visa

Benefits

Why Join Us?

Joining C the Signs is not just about building AI; it’s about shaping the future of healthcare. If you are a technical leader with an unshakable belief in the power of AI to save lives and the ability to make it happen at scale, this is your opportunity to create a tangible, global impact.

Benefits:

  • Competitive salary and benefits package.
  • Flexible working arrangements (remote or hybrid options available).
  • The opportunity to work on life-changing AI technology that directly impacts patient outcomes.
  • Join a team that combines cutting-edge innovation with a mission to save lives and improve health equity.
  • Continuous learning opportunities with access to the latest tools and advancements in AI and healthcare.