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Data Extraction Jobs in Boston, MA (NOW HIRING)

Design integration patterns across applications (APIs, event-driven, ETL/ELT, data virtualization) Data Integration & Interoperability * Lead architecture for cross-system data flows (e.g., order-to ...

Data Engineer

Boston, MA

$124K - $149K/yr

... of data extraction and processing. -Support continuous process automation for data ingest. -Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and ...

Demonstrated expertise in writing, executing, and optimizing code inSASandSQLfor data extraction and manipulation. Proficiency in usingAmazon Web Services (AWS)cloud computing systems and services ...

Demonstrated expertise in writing, executing, and optimizing code in SAS and SQL for data extraction and manipulation. * Proficiency in using Amazon Web Services (AWS) cloud computing systems and ...

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AI Architect

Newton, MA · Remote

$180K - $220K/yr

Architect end-to-end AI solutions spanning RAG pipelines, intelligent document processing, structured data extraction, and conversational AI. * Lead technical design using Microsoft Foundry, Azure AI ...

Data extraction, manipulation, cleaning, and validation using a query language; Statistical analysis and modeling using a programming language such as Python or R); Translating open-ended business ...

Sr Database Developer

Woburn, MA · On-site

$135K - $150K/yr

Ensure the quick implementation of mass data change requests and complex report/data extraction requests making sure the impact on existing applications is adequately analysed and evaluated * Lead ...

Data extraction, manipulation, cleaning, and validation using a query language; Statistical analysis and modeling using a programming language such as Python or R); Translating open-ended business ...

Extract signal from land, grid, utility, market, and spatial data * Use agents to compress research loops that usually take days * Create workflows that help the team notice what others miss * Make ...

New

Sr Database Developer

Woburn, MA · On-site

$135K - $150K/yr

Ensure the quick implementation of mass data change requests and complex report/data extraction requests making sure the impact on existing applications is adequately analysed and evaluated * Lead ...

Showing results 21-40

Data Extraction information

See Boston, MA salary details

$12

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$74

How much do data extraction jobs pay per hour?

As of Sep 15, 2026, the average hourly pay for data extraction in Boston, MA is $30.17, according to ZipRecruiter salary data. Most workers in this role earn between $16.21 and $33.45 per hour, depending on experience, location, and employer.

What is a data extraction?

A Data Extraction job involves collecting and retrieving data from various sources, such as databases, documents, websites, and APIs. This data is then transformed, cleaned, and structured for analysis or storage. Professionals in this role use tools like SQL, Python, or web scraping technologies to automate the process. Data extraction is essential for businesses to gain insights, make data-driven decisions, and streamline operations.

What are the typical daily responsibilities for someone working in data extraction?

Professionals in Data Extraction typically spend their days gathering data from a variety of sources—such as databases, websites, or documents—using specialized tools or scripts. They are responsible for cleaning, formatting, and validating this data to ensure accuracy and consistency before delivering it to analysts or other stakeholders. Collaborating with data analysts, IT teams, and business units is common to clarify data requirements and resolve any discrepancies. Most roles involve a mix of independent technical work and teamwork, with some positions requiring regular reporting or documentation of data extraction processes.

What are the key skills and qualifications needed to thrive in data extraction, and why are they important?

To excel in Data Extraction, candidates should have strong analytical skills, attention to detail, and a background in data management or computer science. Experience with extraction tools and programming languages such as SQL, Python, R, or ETL platforms, as well as familiarity with data governance standards, is often required. Strong organizational, problem-solving, and communication skills help professionals handle complex datasets and collaborate effectively across teams. These competencies ensure accurate, efficient data retrieval and support informed business decisions.

How to become a data extraction?

To become a data extraction specialist, develop skills in data management, programming languages like Python or SQL, and familiarity with data extraction tools such as web scrapers or ETL software. Gaining experience through relevant projects or certifications can improve job prospects, and understanding data privacy and security is also beneficial.

What are the most commonly searched types of Data Extraction jobs in Boston, MA?

The most popular types of Data Extraction jobs in Boston, MA are:

Infographic showing various Data Extraction job openings in Boston, MA as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $62,746 per year, or $30.2 per hour.

Principal Data Architect

Marlborough, MA • On-site

IPG Photonics
Electrical Equipment, Appliance, and Component Manufacturing • 1 - 5K employees

Full-time

Re-posted 25 days ago


IPG Photonics rating

8.2

Company rating: 8.2 out of 10

Based on 18 frontline employees who took The Breakroom Quiz


Job description

Headquartered in Marlborough, Massachusetts, IPG Photonics employs over 4,800 people across more than 25 locations worldwide. As a pioneering developer and leading producer of fiber lasers and amplifiers, we are committed to applying light-based technologies in ways that improve life.
Our mission is to develop innovative laser solutions that make the world a better place. We are equally committed to building a strong, engaged workforce by attracting and retaining top talent and fostering a collaborative and inclusive environment that supports long-term growth and sustainability.
At IPG Photonics, employees can expect meaningful, challenging work, a supportive and team-oriented culture, and competitive benefits.
About the Role
We are seeking a Principal Data Architect to lead the design of data architecture across our Microsoft Dynamics 365 ecosystem (ERP and CRM) and enterprise data platform. You will play a critical role in connecting core business systems with modern data platforms to enable scalable analytics, AI, and efficient business operations.
Why This Role Matters
You'll help shape how data flows across critical business systems, reducing complexity and enabling faster, more reliable insights across the organization.
The Principal Data Architect will define and drive the data architecture strategy across core enterprise systems-including ERP, MES, PLM, and other business-critical applications-while enabling a scalable data platform for analytics and AI. This role ensures consistent data models, seamless integration, and high data quality across operational and analytical environments.
Key Responsibilities
Enterprise Data Architecture (ERP, MES, PLM)
  • Define end-to-end data architecture spanning ERP, MES, PLM, CRM, and other enterprise systems
  • Establish canonical data models and master data standards (e.g., product, customer, supplier, manufacturing data)
  • Design integration patterns across applications (APIs, event-driven, ETL/ELT, data virtualization)

Data Integration & Interoperability
  • Lead architecture for cross-system data flows (e.g., order-to-cash, procure-to-pay, manufacturing execution)
  • Standardize data exchange, synchronization, and lineage across platforms
  • Partner with application teams to reduce point-to-point integrations and data silos

Data Platform & Analytics Enablement
  • Align operational data architecture with enterprise data platform (warehouse / lake house)
  • Enable high-quality, trusted data for reporting, analytics, and AI/ML use cases
  • Define patterns for real-time and batch data processing

Master Data & Governance
  • Define and support Master Data Management (MDM) strategy across domains
  • Establish data governance, quality, and stewardship models
  • Ensure compliance with data security, privacy, and regulatory requirements

Leadership & Collaboration
  • Act as a bridge between enterprise applications, data engineering, and business teams
  • Influence architecture decisions across IT and business domains
  • Provide technical leadership and mentorship to architects and engineers

Required
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field (or equivalent practical experience)
  • 10+ years in data architecture, data engineering, or enterprise architecture roles
  • Strong experience with Microsoft Dynamics 365 (ERP and CRM), including understanding of underlying data models (Finance & Operations, Sales, Customer Service, etc.)
  • Proven track record designing data architectures and integrations around D365, including data extraction, synchronization, and extension patterns
  • Deep expertise in data modeling (transactional and analytical), particularly across finance, customer, product, and order domains
  • Experience designing cross-system integrations using APIs, Dataverse, Azure Integration Services, or middleware platforms
  • Hands-on experience with Azure data ecosystem (e.g., Azure Data Factory, Synapse, Fabric, Data Lake)
  • Strong understanding of data lifecycle management, data quality, and governance practices
  • Ability to influence across business and IT stakeholders without direct authority

Preferred
  • Experience integrating D365 with MES, PLM, or other enterprise/manufacturing systems
  • Familiarity with Dataverse, Dual-write, BYOD (Bring Your Own Database), and Common Data Model (CDM)
  • Experience with event-driven architectures (e.g., Azure Event Grid, Service Bus)
  • Knowledge of master data management (MDM) solutions and implementation
  • Experience supporting analytics and reporting layers (Power BI, Fabric, or similar) on top of D365 data
  • Background in manufacturing, supply chain, or industrial environments

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