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Data Mapping Jobs in Connecticut (NOW HIRING)

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines). Experience with DataOps tools (GitHub, Jenkins, UDeploy). Familiarity with P&C Commercial Lines business.

Amicis Global

Data Analyst

Hartford, CT · On-site

$70 - $80/hr

... mapping documents, bus matrix, and/or other data design artifacts that define business data requirements and transformation rules. • Act as liaison and advisor/consultant between the business and ...

nLeague Services Inc

Software Consultant

Hartford, CT · On-site

Create and validate data mapping documents between legacy and modern systems. * Develop interface mapping documentation to align legacy screens and functions with modernized application components.

Polar IT Services

ETL Developer

Hartford, CT · On-site +1

$51.50 - $67.25/hr

Must have strong skills in SSIS, data mapping, data cleaning. In addition to SSIS, must be strong in Python. * ETL - strong SSIS * Strong Python * Ideally recent experience with COBOL mainframe ...

GSS Infotech

Sr. SAP BSA Success factors

New Haven, CT · On-site

Creates data mapping and data visualization documents. * Prepare business cases which define potential benefits, options for achieving these benefits through development of new or changed processes ...

Nassau

Analyst (Business Data Management)

Hartford, CT · On-site

Principal Duties and Responsibilities * Assist with defining and writing requirements, coding programs, data mapping, user acceptance testing, and business intelligence tool reporting across multiple ...

Next Level Business Services, Inc.

Data Modeler

Windsor, CT

$54.50 - $70.75/hr

Hartford/ Windsor, CT Hire Type: Full Time Only - 1) Needs to know dimensional and/or operational/3NF/transactional modeling. 2) Needs to be able to focus heavily on data dictionary and mapping ...

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Data Mapping information

What are the key skills and qualifications needed to thrive in the Data Mapping position, and why are they important?

To excel in Data Mapping, you need a solid understanding of data structures, database management, and data migration methodologies, often backed by a degree in computer science or information systems. Familiarity with ETL tools, data mapping software (such as Informatica or Talend), and relevant certifications like CDMP are highly valuable. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart. These competencies are vital to ensure accurate, efficient mapping of complex data between systems, minimizing errors and supporting organizational data initiatives.

What does a Data Mapping job involve?

A Data Mapping job involves identifying, organizing, and transforming data from one format or system to another while ensuring accuracy and consistency. Professionals in this role analyze data structures, create mapping documentation, and work closely with developers and analysts to support data integration, migration, or transformation projects. Strong attention to detail and knowledge of data formats, databases, and ETL (Extract, Transform, Load) processes are essential.

What skills are needed for data mapping?

Data mapping requires strong analytical skills to understand data structures and relationships, attention to detail to ensure accuracy, and proficiency with data management tools such as Excel, SQL, or specialized mapping software. Knowledge of data standards, data modeling, and basic programming can also enhance effectiveness in this role.

What are data mapping jobs?

Data mapping jobs involve creating connections between different data formats, systems, or databases to ensure accurate data transfer and integration. These roles typically require knowledge of data structures, data management tools, and sometimes scripting or programming skills to develop and maintain data transformation processes.

Is 40 too late for data science?

Data mapping is a key skill in data science, and individuals can transition into the field at any age with relevant training, such as learning programming languages like Python or R and understanding data structures. Many professionals successfully switch careers later in life by gaining certifications and practical experience, making age less of a barrier in data science roles.

What is the salary of data mapping editor?

The salary of a data mapping editor typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. This role often requires proficiency with data management tools and attention to detail, with some positions offering additional benefits or bonuses.

What are the typical responsibilities of a Data Mapping professional on a project team?

As a Data Mapping professional, you'll be responsible for analyzing data sources, defining relationships between different datasets, and documenting data flows as information is migrated or integrated between systems. You commonly work closely with business analysts, database administrators, and software developers to ensure mapping accuracy and to troubleshoot any discrepancies that arise. The role involves a mix of technical analysis, requirements gathering, and frequent collaboration to align data mapping with project objectives. You'll be expected to maintain detailed mapping documentation and adapt to evolving data structures, which is crucial for supporting clean data integrations and successful system implementations.

What are popular job titles related to Data Mapping jobs in Connecticut? For Data Mapping jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Data Mapping jobs in Connecticut look for? The top searched job categories for Data Mapping jobs in Connecticut are:
Data Mapping jobs near you
Infographic showing various Data Mapping job openings in Connecticut as of July 2026, with employment types broken down into 76% Full Time, and 24% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Data Engineer

Amicis Global

Hartford, CT • On-site

$70 - $80/hr

Contractor

Posted 27 days ago

Job description

Title: Data Engineer
Location: Hartford Insurance Group, CT, 06155
Duration: 6+ Months
Pay: $70-$80/hr on W2 
 
Job Description: Key Responsibilities
Serve as subject matter expert and/or technical lead for large-scale data products.
Drive end-to-end solution delivery across multiple platforms and technologies, leveraging ELT solutions to acquire, integrate, and operationalize data.
Partner with architects and stakeholders to define and implement pipeline and data product architecture, ensuring integrity and scalability.
Communicate risks and trade-offs of technology solutions to senior leaders, translating technical concepts for business audiences.
Build and enhance data pipelines using cloud-based architectures.
Design simplified data models for complex business problems.
Champion Data Engineering best practices across teams, implementing leading big data methodologies (AWS, Hadoop/EMR, Spark, Snowflake, Talend, Informatica) in hybrid cloud/on-prem environments.
Operate independently while fostering a collaborative, transformation-focused mindset.
Work effectively in a lean, fast-paced organization, leveraging Scaled Agile principles.
Promote code quality management, FinOps principles, automated testing, and environment management practices to deliver incremental customer value.
 
Qualifications:
5+ years of data engineering experience.
2+ years developing and operating production workloads in cloud infrastructure.
Bachelor's degree in Computer Science, Data Science, Information Technology, or related field.
Hands-on experience with Snowflake (including SnowSQL, Snowpipe).
Expert-level skills in AWS services, Snowflake, Python, and Spark (certifications are a plus).
Proficiency in ETL tools such as Talend and Informatica.
Strong knowledge of Data Warehousing (modeling, mapping, batch, and real-time pipelines).
Experience with DataOps tools (GitHub, Jenkins, UDeploy).
Familiarity with P&C Commercial Lines business.
 
Knowledge of legacy tech stack: Oracle Database, PL/SQL, Autosys, Hadoop, stored procedures, and Shell scripting.
Experience using Agile tools like Rally.
Excellent written and verbal communication skills to interact effectively with technical and non-technical stakeholders
Staff Data Engineer
Hands-on experience in Snowflake
Primary skill set is Snowflake
Hybrid position - 3 days in the office in Hartford or Charlotte
Must be prepared for an in-person interview 
Data mapping and data modeling
Coordinate with stakeholders and understand how the new model in Snowflake will look
Putting together a new agile team of 5 to 6 people
Red flag on resume: if they have all the technologies, primarily looking for someone able to explain what they worked on and what challenges they faced
Insurance experience is an added advantage; I would choose someone with P&C experience over someone without
Coding assessment in interview: SQL, Snowflake