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Data Modeling Jobs in Connecticut (NOW HIRING)

Saransh Inc

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts. * Experience with ETL/ELT frameworks and data integration. * Strong SQL skills and experience with relational ...

New

Georgia IT, Inc.

Data Architect_ Windsor, CT

Windsor, CT · On-site

$63.50 - $81.75/hr

Required : • 10+ years in data architecture and engineering • Strong experience with cloud (AWS/Azure/GCP) • Deep data modeling & warehousing experience • Experience working directly with ...

Amicis Global

Data Engineer

Hartford, CT · On-site

$70 - $80/hr

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 ...

R2 Technologies Corporation

Data Architect

Hartford, CT · On-site

$64.25 - $82.75/hr

Provide support for deployed data applications and analytical models by identifying data problems and guiding issue resolution with partner data engineers and source data providers. Provide subject ...

Sarian, Inc.

Data Engineer

Hartford, CT · On-site

$115K - $138K/yr

... 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 ...

Sarian, Inc.

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 ...

The Hartford

Lead Data Engineer - Hybrid

Hartford, CT · Hybrid

$117K - $175K/yr

You should also have experience in data analysis, requirements gathering, data modeling, and process design, with the ability to document and communicate technical details to business partners with ...

Prophecy Technologies

IT Senior Data Architect

Berlin, CT · On-site

$66.75 - $89.25/hr

Define data models and architecture patterns that support reporting, analytics, and operational needs. * Evaluate and recommend data technologies, tools, and platforms. * Ensure solutions align with ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

You will define and manage external data contracts, maintain partner-specific file and API specifications, translate external data into Oxbridge's canonical data model, and ensure timely, accurate ...

Oxbridge Health

Data Integration Lead

Norwalk, CT · On-site

You will define and manage external data contracts, maintain partner-specific file and API specifications, translate external data into Oxbridge's canonical data model, and ensure timely, accurate ...

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All JobsData Modeling JobsData Modeling Jobs in Connecticut

Data Modeling information

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How much do data modeling jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for data modeling 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 modeling?

A Data Modeling job involves designing and structuring data to ensure it is organized, efficient, and scalable for business needs. Data modelers create conceptual, logical, and physical data models that define relationships between data elements. They work closely with database administrators, data engineers, and analysts to optimize data storage and retrieval. Their role is crucial for maintaining data integrity and supporting business intelligence and analytics initiatives. Skills in SQL, database design, and data normalization are essential for success in this role.

What does a typical day look like for someone working in data modeling?

A typical day in Data Modeling often involves collaborating with business analysts, database administrators, and software developers to understand data requirements and translate them into logical and physical data structures. Data modelers spend time designing, reviewing, and optimizing data models, ensuring accuracy and consistency across systems and projects. They also review data flows, document data dictionaries, and participate in meetings to align data architecture with overall business needs. The role frequently requires balancing independent technical work with teamwork, as well as responding to feedback and evolving project requirements to support organizational goals.

What are the key skills and qualifications needed to thrive in data modeling, and why are they important?

To thrive in Data Modeling, you need strong analytical skills, proficiency in database design, and a solid understanding of data structures, usually supported by a degree in computer science, information systems, or a related field. Expertise with tools such as ERwin, SQL, PowerDesigner, or similar data modeling software, as well as knowledge of normalization techniques and experience with data warehousing concepts, are highly valued. Effective communication, attention to detail, and problem-solving abilities set outstanding data modelers apart, allowing them to convey complex concepts to both technical and non-technical stakeholders. These skills are vital for building accurate, scalable data models that serve as the foundation for reliable data-driven decision-making within organizations.

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 advanced skills in database design and data warehousing can earn higher salaries, often exceeding $130,000. Certifications in data management and proficiency with tools like SQL and ER modeling can also influence compensation.

Is data modeling a good career?

Data modeling is a valuable career in data management and analytics, involving designing and organizing data structures for databases and systems. It requires skills in database tools, understanding of business requirements, and often benefits from certifications like CBIP or data modeling tools such as ERwin or PowerDesigner. The role offers opportunities in various industries with a focus on data quality and efficiency.

Is data modeling hard to learn?

Data modeling can be challenging for beginners due to the need to understand database structures, relationships, and normalization concepts. However, with consistent study, practice, and familiarity with tools like ER diagrams and SQL, many learners can develop proficiency over time.

What are the most commonly searched types of Data Modeling jobs in Connecticut?

The most popular types of Data Modeling jobs in Connecticut are:

What are popular job titles related to Data Modeling jobs in Connecticut?

For Data Modeling jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Data Modeling jobs in Connecticut look for?

The top searched job categories for Data Modeling jobs in Connecticut are:

Data Modeling jobs near you
Infographic showing various Data Modeling job openings in Connecticut as of September 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 87% In-person, 4% Hybrid, and 9% Remote job distribution, with an average salary of $116,174 per year, or $55.9 per hour.

Data Architect

Hartford, CT • On-site

Saransh Inc
IT Services • 51 - 200 employees
Learn more about Saransh Incexternal

$64.25 - $82.75/hr

Other

Posted 3 days ago

New

Job description

Position Title: Data Architect
Location: Minneapolis, MN & Hartford, CT (Onsite)
Duration: 6 Months Contract

Job Description:
  • Strong hands-on experience in Python for data engineering and application development.
  • Extensive experience with AWS cloud services, including S3, EMR, Glue, Lambda, IAM, EC2, ECS/EKS, CloudWatch, and Redshift.
  • Strong expertise in Apache Spark for large-scale batch data processing.
  • Hands‑on experience with Apache Flink for real‑time stream processing and event‑driven data pipelines.
  • Experience designing and implementing batch and streaming data architectures.
  • Strong knowledge of data modeling, data warehousing, and data lake/lakehouse concepts.
  • Experience with ETL/ELT frameworks and data integration.
  • Strong SQL skills and experience with relational and NoSQL databases.
  • Experience with Apache Kafka or similar messaging/event streaming platforms.
  • Strong understanding of distributed computing and big data technologies.
  • Experience with Docker, Kubernetes, and CI/CD pipelines.
  • Hands‑on experience with Git and Agile development methodologies.
  • Design and implement scalable, secure, and high‑performance data architecture solutions on AWS.
  • Build and optimize batch processing pipelines using Apache Spark.
  • Develop real‑time streaming data solutions using Apache Flink.
  • Design end‑to‑end data ingestion, transformation, and processing pipelines.
  • Define data models, governance standards, and architectural best practices.
  • Python, Apache Spark, AWS, Apache Flink, batch and streaming data architectures, ETL/ELT, Apache Kafka, Docker, Kubernetes, CI/CD pipelines.
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