ZipRecruiter

Log In

1

Data Processing Manager Jobs in Georgetown, MA (NOW HIRING)

Pwc

Data Validation Risk - Manager

Boston, MA · On-site

$99K - $232K/yr

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and ... Accounting, Engineering, Data Processing/Analytics/Science, Computer and Information Science ...

Manulife

Data Engineer

Boston, MA · Remote

$137K/yr

Design and manage relational MSSQL, PostgreSQL, and NoSQL (MongoDB) databases for diverse use cases ... Integrate various data sources to streamline data processing and analysis using REST APIs;

Appex Innovation

Azure Data Architect - Snowflake

Boston, MA · On-site

$69.25 - $89/hr

Develop and maintain ETL processes using SnowSQL and Spark to facilitate data ingestion and ... Experience with Agile methodologies and project management tools. Qualifications: Bachelor's degree ...

Pwc

Data Engineer - Senior Manager

Boston, MA

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Senior Manager you lead large projects, innovate processes, and maintain operational ...

next page

Showing results 1-20

All JobsData Processing JobsData Processing Manager JobsData Processing Manager Jobs in Georgetown, MA

Data Processing Manager information

See Georgetown, MA salary details

$38.4K

$58.4K

$76.1K

How much do data processing manager jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data processing manager in Georgetown, MA is $58,360.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,200.00 and $69,500.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What cities near Georgetown, MA are hiring for Data Processing Manager jobs?

Cities near Georgetown, MA with the most Data Processing Manager job openings:

Data Processing Manager jobs near you
Infographic showing various Data Processing Manager job openings in Georgetown, MA as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 82% Physical, 6% Hybrid, and 12% Remote job distribution, with an average salary of $58,360 per year, or $28.1 per hour.

Data Infrastructure & ML Engineer (Hybrid Role)

Beverly, MA • On-site

Axcelis Technologies
Semiconductor and Electronic Component Manufacturing • 501 - 1,000 employees
Learn more about Axcelis Technologiesexternal

$122K - $183K/yr

Full-time

Re-posted 21 days ago

Job description

JOB DESCRIPTION
Job Description: Data Infrastructure & ML Engineer (Hybrid Role)
Role Summary
We are seeking a Senior Data Infrastructure & Machine Learning Engineer to design and implement scalable data systems and pipelines that support advanced analytics and machine learning workflows.
This is a hybrid role where the primary focus is on data pipeline engineering and Python-based data processing, supported by strong database design and management expertise.
Role Focus (Approximate Split)
  • Data Pipeline Engineering & Data Flow (Critical): ~50%
  • Python & Machine Learning Data Processing: ~30%
  • Database Design & Management: ~20%

Key Responsibilities
1. Data Pipeline Engineering (Primary Responsibility)
  • Design and build end-to-end data pipelines (ETL/ELT) for ingesting, processing, and transforming data.
  • Handle multiple data sources including:
    • Tool-generated logs (e.g., AT log files)
    • JSON and semi-structured data
  • Ensure full data traceability, enabling backward tracking of all data points.
  • Implement validation, monitoring, and error handling to ensure data quality and reliability.

2. Database Design & Data Architecture
  • Design and manage scalable database schemas.
  • Support both single-node and distributed database environments.
  • Implement tablespaces, partitioning, and sharding strategies to ensure performance and scalability.
  • Optimize queries and maintain high performance for large-scale datasets.

3. Python-Based Data Processing & Analytics
  • Develop data processing workflows using Python.
  • Work extensively with dataframes for transformation and analysis.
  • Utilize libraries such as:
    • Pandas, NumPy for data manipulation
    • Plotly (or similar) for visualization and exploratory analysis
  • Automate data workflows and integrate them into pipelines.

4. Machine Learning Data Enablement
  • Prepare and transform datasets for machine learning models.
  • Collaborate with data scientists and engineers to support model training and deployment workflows.
  • Enable scalable data foundations for AI/ML integration into production systems.

Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Engineering, or related field with 5+ years of experience.
  • Strong experience in database design and SQL-based systems.
  • Hands-on experience with distributed systems, partitioning, and sharding.
  • Proven experience building data pipelines (ETL/ELT).
  • Strong proficiency in Python for data processing.
  • Experience working with log-based and semi-structured data (e.g., JSON).
  • Understanding of data traceability, validation, and governance.

Preferred Qualifications
  • Experience with time-series or log analytics systems.
  • Exposure to real-time/streaming architectures (e.g., Kafka).
  • Experience with cloud platforms (Azure, AWS, or GCP).
  • Familiarity with machine learning workflows and lifecycle.
  • Domain experience in semiconductor or high-throughput systems (nice to have).

Key Competencies
  • Strong problem-solving and analytical skills.
  • Ability to design production-grade, scalable systems.
  • Focus on data integrity, performance, and reliability.
  • Effective collaboration across engineering and data teams.
  • Clear communication and documentation.

EQUAL OPPORTUNITY STATEMENT
It is the policy of Axcelis to provide equal opportunity in all areas of employment for all persons free from discrimination based on race, sex, religion, age, color, national origin, disability status, medical condition (including pregnancy), veteran status, sexual orientation, marital status, or any other characteristic protected by federal, state or local law. Axcelis will provide reasonable accommodation necessary to enable a disabled candidate or employee to perform the essential functions of the position, unless the accommodation would create an undue hardship for the Company.
U.S. BASE SALARY RANGE
$122,133.07 - $183,199.61
This base salary range reflects the typical compensation for this role across U.S. locations.
Our salary ranges are determined by role and level; individual pay is determined based on
multiple factors, including job-related skills, experience, relevant education or training, work
location, and internal equity. The range provides the opportunity for growth and progression as
you develop within the role.
Base pay is one part of our U.S. total compensation package which includes eligibility in the
Axcelis Team Incentive bonus plan, and comprehensive benefits package (for regular
employees working 20+ hours a week).

Apply