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Intelligent Automation Jobs in Massachusetts (NOW HIRING)

We are in the midst of a deliberate shift toward an AI-first operating model - embedding AI, GenAI, and intelligent automation into how we discover, build, deploy, and scale data products, and this ...

It serves as the foundation for enabling data-driven insights, intelligent automation, and AI-powered decision-making across the organization. What You'll Achieve Data Management, Engineering & AI ...

Identify opportunities to apply AI, machine learning, and intelligent automation across Contract-to-Cash, Invoice-to-Pay, and Plan-to-Report * Establish responsible AI governance including controls ...

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Intelligent Automation information

See Massachusetts salary details

$40.4K

$117K

$178K

How much do intelligent automation jobs pay per year?

As of Aug 30, 2026, the average yearly pay for intelligent automation in Massachusetts is $116,995.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,500.00 and $134,900.00 per year, depending on experience, location, and employer.

What is an intelligent automation?

An Intelligent Automation job involves designing, developing, and implementing automation solutions that combine artificial intelligence (AI), robotic process automation (RPA), and other advanced technologies to streamline business operations. Professionals in this field analyze workflows, identify automation opportunities, and create systems that improve efficiency, reduce errors, and enhance decision-making. They work with AI models, bots, and data analytics to optimize processes across various industries. This role often requires expertise in programming, machine learning, and process optimization.

What are the key skills and qualifications needed to thrive in intelligent automation?

To thrive in Intelligent Automation, you need a solid background in process analysis, business process management, and programming or scripting skills, typically backed by a degree in engineering, computer science, or a related field. Experience with Robotic Process Automation (RPA) platforms such as UiPath or Blue Prism, as well as knowledge of machine learning and AI technologies, is highly beneficial, and certifications in these tools are often preferred. Strong problem-solving abilities, analytical thinking, and effective communication are essential soft skills for working across departments and translating business needs into technical solutions. These competencies are crucial for driving successful automation initiatives that improve efficiency, reduce errors, and add value to organizations.

What are some of the typical challenges faced in an intelligent automation role?

Professionals in Intelligent Automation roles frequently encounter challenges such as identifying the right processes for automation, managing changing business requirements, and ensuring seamless integration with existing IT infrastructure. Navigating organizational change and gaining buy-in from stakeholders are also common hurdles, as automation can significantly impact workflows and job roles. Successful practitioners typically work closely with business analysts, IT teams, and process owners to address these issues and implement scalable solutions. Overcoming these challenges requires a mix of technical expertise, adaptability, and strong interpersonal skills, all of which contribute to delivering impactful automation outcomes.

What are the most commonly searched types of Intelligent Automation jobs in Massachusetts?

The most popular types of Intelligent Automation jobs in Massachusetts are:

What job categories do people searching Intelligent Automation jobs in Massachusetts look for?

The top searched job categories for Intelligent Automation jobs in Massachusetts are:

What cities in Massachusetts are hiring for Intelligent Automation jobs?

Cities in Massachusetts with the most Intelligent Automation job openings:

Infographic showing various Intelligent Automation job openings in Massachusetts as of August 2026, with employment types broken down into 8% Internship, and 92% Full Time. Highlights an 92% In-person, and 8% Remote job distribution, with an average salary of $116,995 per year, or $56.2 per hour.

ETL Tester with Automation Testing & AI Experience

Source Code Technologies LLC

Quincy, MA • On-site

$48.25 - $64/hr

Other

Posted 11 days ago


Job description

Job Summary

We are seeking an experienced ETL Tester with Automation Testing and AI exposure to support enterprise data validation and testing initiatives. The ideal candidate should have strong expertise in ETL testing, database validation, automation frameworks, and AI-driven testing approaches. The role requires strong analytical skills and hands-on experience working with large-scale data systems and modern testing methodologies.

Key Responsibilities

Perform end-to-end ETL testing for data warehouse and data migration projects.

Validate data extraction, transformation, and loading processes across multiple systems.

Develop and execute automation test scripts for ETL and data validation workflows.

Design and maintain reusable automation frameworks for regression and integration testing.

Perform source-to-target data validation and reconciliation.

Write and optimize SQL queries for backend data validation and analysis.

Collaborate with developers, business analysts, and data engineering teams to understand requirements and testing needs.

Identify, track, and resolve defects through the defect lifecycle.

Support AI-enabled testing initiatives and intelligent automation strategies.

Ensure data quality, accuracy, completeness, and integrity across platforms.

Participate in Agile ceremonies, sprint planning, and test execution activities.

Required Skills

ETL & Database Testing

Strong hands-on experience in:

ETL Testing

Data Warehouse Testing

Data Migration Validation

Source-to-Target Testing

Strong SQL expertise for data validation and analysis

Experience with databases such as:

SQL Server

Oracle

PostgreSQL

MySQL

Automation Testing

Experience with automation tools/frameworks such as:

Selenium

PyTest

TestNG

UFT

JUnit

Experience scripting in:

Python

Java

Shell scripting

AI & Modern Testing

Exposure to AI-driven testing tools and intelligent automation

Understanding of AI/ML concepts in QA and test optimization

Experience with predictive testing or GenAI-assisted QA is a plus

Additional Skills

Familiarity with:

CI/CD pipelines

Jenkins

Git

Agile/Scrum methodologies

Strong analytical and troubleshooting skills

Excellent communication and stakeholder coordination abilities

Preferred Qualifications

Experience working in enterprise data environments

Exposure to cloud platforms such as AWS or Azure

Experience with big data testing tools is a plus