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Data Modeler Jobs in Connecticut (NOW HIRING)

Sr Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

Hands-on experience with Snowflake (data modeling, query optimization, SnowSQL). * Proficiency in Python for data processing and automation. * Experience with Hive and other big data technologies is ...

As a Manager you can lead the development of data models, support compliance with data governance policies, and collaborate with business stakeholders to translate data requirements into technical ...

As a Manager you can lead the development of data models, support compliance with data governance policies, and collaborate with business stakeholders to translate data requirements into technical ...

... models to improve the collection and analysis of data • Bridging the divide between technical and business teams through data • Communicating data analysis to various levels of stakeholders ...

The ability to conduct cost/benefit analysis Business case development Determines if Data Acquisition is needed Analyzes source data Modeling techniques and methods Ability to work in team in diverse ...

Enable consistent model lifecycle management from data ingestion through deployment and monitoring. * Standardize tooling, frameworks, and infrastructure for AI delivery. * Drive adoption of ...

Enable consistent model lifecycle management from data ingestion through deployment and monitoring. * Standardize tooling, frameworks, and infrastructure for AI delivery. * Drive adoption of ...

Showing results 41-60

Data Modeler information

See Connecticut salary details

$9

$55

$79

How much do data modeler jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for data modeler in Connecticut is $55.85, according to ZipRecruiter salary data. Most workers in this role earn between $50.10 and $64.95 per hour, depending on experience, location, and employer.

What is a data modeler?

Data Modelers are professionals who design, create, and manage data models that define the structure, organization, and relationships of data within databases or information systems. They work closely with business analysts, database administrators, and developers to ensure that data is organized efficiently and can be accessed and used effectively. Data Modelers use specialized tools and techniques to translate business requirements into conceptual, logical, and physical data models, supporting data consistency, integrity, and security across an organization's systems.

How much do data modelers make?

Data modelers typically earn a median annual salary between $80,000 and $120,000, depending on experience, location, and industry. Senior data modelers with specialized skills in database design and data warehousing can earn higher salaries, often exceeding $130,000 annually.

What are some typical challenges data modelers face when working on large-scale projects?

Data Modelers often encounter challenges such as integrating data from multiple, disparate sources and ensuring consistency across large and complex datasets. Aligning the data model with evolving business requirements while maintaining performance and scalability can also be demanding. Additionally, effective communication with stakeholders—like business analysts, database administrators, and software developers—is crucial to ensure the data model meets both technical and business needs.

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

To thrive as a Data Modeler, you need a strong understanding of database design, data modeling concepts (such as ER diagrams and normalization), and proficiency in SQL, often supported by a degree in computer science or a related field. Experience with data modeling tools like ERwin, IBM InfoSphere Data Architect, or Microsoft Visio, as well as knowledge of database management systems (DBMS), is typically required. Strong analytical thinking, attention to detail, and effective communication skills help in translating business requirements into technical data structures. These skills and qualities are essential for building scalable, efficient, and accurate data systems that meet organizational needs.

What does a data modeler do?

As a data modeler, your responsibilities are to break down complex computer system data into a logical process that makes it easier to understand for data analysis and statistical purposes. Your duties as a data modeler include reducing data redundancy, checking for data errors, conceptualizing and designing efficient data models, overseeing data architecture growth, and fine-tuning data performance. These positions are usually independent, but you may sometimes need to work with other team members to address potential issues related to data. Data modelers need self-motivation, critical thinking, and problem-solving skills, and you should be quick to adapt.

What are popular job titles related to Data Modeler jobs in Connecticut? For Data Modeler jobs in Connecticut, the most frequently searched job titles are:
What are popular job titles related to Data Modeler jobs in CT? For Data Modeler jobs in CT, the most frequently searched job titles are:
Infographic showing various Data Modeler job openings in Connecticut as of August 2026, with employment types broken down into 59% Full Time, and 41% Contract. Highlights an 77% In-person, and 23% Remote job distribution, with an average salary of $116,174 per year, or $55.9 per hour.

Sr Data Engineer

Sarian, Inc.

Hartford, CT • On-site

$115K - $138K/yr

Full-time

Re-posted 9 days ago


Job description

Role: Sr Data Engineer
Location: Hartford, CT
Onsite position
Fulltime Position
TCS/Hartford
JD:
  • Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures, triggers, performance tuning).
  • Hands-on experience with Snowflake (data modeling, query optimization, SnowSQL).
  • Proficiency in Python for data processing and automation.
  • Experience with Hive and other big data technologies is a plus.
  • Solid understanding of data warehousing concepts and ETL frameworks.
  • Experience working with cloud-based data solutions (AWS, Azure, or GCP).
  • Strong problem-solving skills and ability to work in a fast-paced environment.
  • Experience with data pipeline orchestration tools (Airflow, Apache Nifi, or similar).
  • Knowledge of performance tuning techniques in Oracle and Snowflake.
  • Understanding of data governance and security best practices.
  • Prior experience in financial services, healthcare, or e-commerce domains is a plus.