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Data Processor Jobs in Manchester, CT (NOW HIRING)

Deloitte

Data Engineer II

Hartford, CT

$115K - $138K/yr

... processes including implementing leading practice workflows, addressing deficits in quality, and ... Experience with data integration frameworks and orchestration tools. * Working knowledge of ...

Pwc

Data Engineer - Senior Manager

Hartford, CT · On-site

$124K - $280K/yr

In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and ...

Pwc

AI & GenAI Data Scientist - Manager

Hartford, CT

$99K - $232K/yr

... Processing/Analytics/Science, Artificial Intelligence and Robotics - At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ...

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Transaction Processor Associate

East Hartford, CT · On-site

$19 - $20/hr

Seeking a detail-oriented Transaction Processor Associate II to process healthcare-related ... Enter consumer data into the Eligibility Determination System. * Communicate with clients and ...

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Administrative Transaction Processor (Junior)

East Hartford, CT · On-site

$20 - $20.69/hr

Administrative Transaction Processor (Junior) Location: East Hartford, CT (Hybrid) Duration ... data entry, administrative, or customer service experience Basic call center or customer ...

TEEMA

Transaction Processor Hybrid- CT

Hartford, CT · On-site

$17.25 - $21.25/hr

Job Title: Transaction Processor - CT Job ID: 87491 Location: Hartford, Connecticut Overview ... Screen Consumers by data entering information into Eligibility Determination System. * Meet or ...

Next Level Business Services, Inc.

Data Modeler

Windsor, CT · On-site

$54.50 - $70.75/hr

IAA), Retail Data Warehouse 9) Must know the industry standard logical naming methods, Metadata management process Experience Required 7 years Roles & Responsibilities Will be directly working with ...

Purple Drive

Data Modeler

Berlin, CT · On-site

$54.25 - $70.50/hr

... ETL processes 7. Knowledge of industry best practices for data modelling and database design 8. Ability to collaborate with cross-functional teams to gather and analyse data requirements 9. ...

Collabera

Data Analyst

Hartford, CT · On-site

Performs data and process analysis. Ability to write SQL code in multiple OS platforms & software. Qualifications Qualifications: Competent in use & writing SQL / SAS for data analysis and data ...

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All JobsData Processor JobsData Processor Jobs in Manchester, CT

Data Processor information

See Manchester, CT salary details

$12

$20

$35

How much do data processor jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for data processor in Manchester, CT is $20.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.25 and $22.60 per hour, depending on experience, location, and employer.

What is a data processor?

A data processor transfers, organizes, and processes personal data for a company. It is typically an entry-level job that serves as a starting point for a career as a data controller. As a data processor, your duties involve processing incoming documents, transferring analog documents into digital data, verifying the information in all documents, updating document formats, and creating detailed reports on company data use and management. Qualifications for this career include excellent computer skills and a bachelor’s degree in computer science or data management.

What are the key skills and qualifications needed to thrive as a data processor, and why are they important?

To thrive as a Data Processor, you need strong attention to detail, accuracy in data entry, and a high school diploma or equivalent. Familiarity with spreadsheet software (such as Microsoft Excel), database management systems, and sometimes data processing software is typically required. Excellent organizational skills, the ability to follow procedures, and effective time management make someone stand out in this role. These skills ensure data integrity, minimize errors, and support efficient information management within an organization.

What are some common challenges faced by data processors and how can they be addressed?

Data Processors often encounter challenges such as managing large volumes of data accurately and efficiently, dealing with inconsistent or incomplete data, and ensuring data privacy and compliance. To address these, it's important to develop strong attention to detail, become proficient with data processing software, and stay updated on relevant data protection regulations. Collaborating closely with data analysts and IT teams can also help resolve data issues and improve workflow efficiency.

What is the difference between Data Processor vs Data Entry Clerk?

AspectData ProcessorData Entry Clerk
Required CredentialsHigh school diploma; some roles may require basic certificationsHigh school diploma; no specialized certifications typically needed
Work EnvironmentOffice settings, data centers, or remote workOffice environments, often in administrative settings
Employer & Industry UsageBusinesses, government agencies, financial institutionsCorporations, healthcare, retail, administrative offices
Common Search & ComparisonOften compared for data handling and processing tasksCompared for data input and administrative support roles

While both roles involve handling data, Data Processors typically perform more complex data management and validation tasks, often requiring some technical skills. Data Entry Clerks focus on inputting data accurately and efficiently. Understanding these differences helps in choosing the right role based on skills and career goals.

How much does a data processor earn?

The average salary for a data processor typically ranges from $30,000 to $45,000 per year, depending on experience, location, and industry. Entry-level positions may start lower, while experienced data processors with specialized skills or certifications can earn higher wages. Many roles also offer benefits such as health insurance and paid time off.

What do you do as a data processor?

A data processor collects, organizes, and manages data to ensure accuracy and consistency. They often use software tools like spreadsheets or databases and may perform tasks such as data entry, validation, and updating records to support business operations.
More about Data Processor jobs

What are popular job titles related to Data Processor jobs in Manchester, CT?

For Data Processor jobs in Manchester, CT, the most frequently searched job titles are:

What job categories do people searching Data Processor jobs in Manchester, CT look for?

The top searched job categories for Data Processor jobs in Manchester, CT are:

Data Processor jobs near you
Infographic showing various Data Processor job openings in Manchester, CT as of August 2026, with employment types broken down into 82% Full Time, and 18% Contract. Highlights an 59% In-person, 20% Hybrid, and 21% Remote job distribution, with an average salary of $42,575 per year, or $20.5 per hour.

Data Engineer II

Deloitte

Hartford, CT

$115K - $138K/yr

Full-time

Re-posted 16 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 93 frontline employees who took The Breakroom Quiz

47th of 154 rated financial services

Job description

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

 Recruiting for this role ends on Sep 30th, 2026.

Work you'll do/Responsibilities

As part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.

  • Design, build, and support scalable batch and near-real-time data pipelines on AWS.
  • Design robust ingestion patterns from source systems into S3 and into Snowflake.
  • Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
  • Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
  • Build reusable Python components for ingestion, validation, and transformations; apply standards through code reviews and testing.
  • Support Snowflake performance and cost optimization through warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.
  • Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team
AI & Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • 4+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.
  • 4+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
  • 4+ years of experience designing, building, and supporting batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
  • Experience with data integration frameworks and orchestration tools.
  • Working knowledge of Lakehouse/warehouse architectures and ELT patterns.
  • Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.
  • Ability to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.
  • Understanding of data quality, data governance, and metadata management.
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred
Agile delivery experience.
Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
Can operate independently or with minimum supervision.
Excellent written and communication skills.
Ability to deliver technical demonstrations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $76,725 to $127,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Deloitte under our Project Talent Model. Project Talent Model (PTM) is a talent model that is tailored specifically for long-term, onsite client service delivery.

 Recruiting for this role ends on Sep 30th, 2026.

Work you'll do/Responsibilities

As part of the Data & Analytics Foundry you will support numerous business product teams in designing, building, and operating modern data products and platforms across a scale delivery program (onshore/offshore). Your focus will be on delivering reliable, performant, and cost-effective data pipelines and curated datasets to enable analytics and downstream applications.

  • Design, build, and support scalable batch and near-real-time data pipelines on AWS.
  • Design robust ingestion patterns from source systems into S3 and into Snowflake.
  • Develop transformation layers and curated datasets in Snowflake, including dimensional/data product modeling for analytics and downstream applications.
  • Implement orchestration and workflow automation on AWS with retries, backfills, and idempotency.
  • Build reusable Python components for ingestion, validation, and transformations; apply standards through code reviews and testing.
  • Support Snowflake performance and cost optimization through warehouse sizing, concurrency patterns, query tuning, clustering/micro-partition considerations, and workload isolation.
  • Partner with stakeholders to translate requirements into well-defined datasets and data contracts.
  • Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
  • Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes

The Team
AI & Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Required Qualifications

  • 4+ years of experience as a Data Engineer delivering production-grade data pipelines and curated datasets.
  • 4+ years of hands-on experience with SQL and Python, including Snowflake and/or PySpark for scalable data processing and ELT.
  • 4+ years of experience designing, building, and supporting batch and near-real-time data pipelines on cloud platforms (AWS preferred; Azure/GCP acceptable).
  • Experience with data integration frameworks and orchestration tools.
  • Working knowledge of Lakehouse/warehouse architectures and ELT patterns.
  • Knowledge of DevOps principles: CI/CD pipelines, version control, Infrastructure-as-Code.
  • Ability to optimize data storage, partitioning, file formats (Delta, Parquet), and performance.
  • Understanding of data quality, data governance, and metadata management.
  • Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience.
  • Limited immigration sponsorship may be available.
  • Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve.

Preferred
Agile delivery experience.
Analytical ability to manage multiple projects and prioritize tasks into manageable work products.
Can operate independently or with minimum supervision.
Excellent written and communication skills.
Ability to deliver technical demonstrations.

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $76,725 to $127,875.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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