1

Temporary Data Engineer C2C Jobs in Connecticut (NOW HIRING)

Role : ASP.NET Developer ( C2C/W2 ) Location : Hartford, Connecticut 06103(Candidate Must Be Local ... This role combines requirements analysis, software development, and data migration validation ...

Role : ASP.NET Developer ( C2C/W2 ) Location : Hartford, Connecticut 06103(Candidate Must Be Local ... This role combines requirements analysis, software development, and data migration validation ...

New

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Windsor, CT Rate: $45-50/hr on C2C or 1099 and $44/hr on W2 without benefits Consultant need to ...

Data Architect

Windsor, CT · On-site

$55 - $60/hr

... Engineering, Business Intelligence, Data Management, SOA, BPM, Data Warehousing, SharePoint ... Windsor, CT Rate $55 - 60/hr on C2C or 1099 and $53/hr on W2 without benefits Consultant need to ...

next page

Showing results 1-20

Temporary Data Engineer C2C information

What is the difference between Temporary Data Engineer C2C vs Temporary Data Analyst C2C?

AspectTemporary Data Engineer C2CTemporary Data Analyst C2C
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentTechnical teams, data infrastructure projectsBusiness teams, reporting and insights projects
Employer & Industry UsageTech companies, data-driven organizationsFinance, marketing, retail sectors
Common Search & Comparison IntentUnderstanding technical roles, infrastructure focusFocus on data insights, reporting tasks

Temporary Data Engineer C2C roles typically involve building and maintaining data pipelines and infrastructure, requiring technical certifications and a focus on data engineering tasks. In contrast, Temporary Data Analyst C2C positions emphasize analyzing data to generate reports and insights, often requiring statistical and analytical skills. Both roles are contract-based and used across various industries, but they serve different functions within data teams.

What are the most commonly searched types of Data Engineer C2C jobs in Connecticut?

The most popular types of Data Engineer C2C jobs in Connecticut are:

What are popular job titles related to Temporary Data Engineer C2C jobs in Connecticut?

For Temporary Data Engineer C2C jobs in Connecticut, the most frequently searched job titles are:

What job categories do people searching Temporary Data Engineer C2C jobs in Connecticut look for?

The top searched job categories for Temporary Data Engineer C2C jobs in Connecticut are:

What cities in Connecticut are hiring for Temporary Data Engineer C2C jobs?

Cities in Connecticut with the most Temporary Data Engineer C2C job openings:

Infographic showing various Temporary Data Engineer C2C job openings in Connecticut as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Data Engineer - Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.

TechniPros, LLC

East Hartford, CT • On-site

$113K - $136K/yr

Other

This job post has expired today. Applications are no longer accepted.


Job description

Job Title: Principal Data Engineer – Data Platform
Location: Hartford, CT, Princeton, NJ, Newark, NJ, New York City, NY, Boston, MA.
Contract: 12+ Months
Looking for W2 candidates. No C2C

Job Summary
We are looking for a Principal Data Engineer to architect enterprise-scale data platforms supporting AI, Machine Learning, analytics, and real-time data processing. The ideal candidate should possess deep expertise in distributed systems, modern data architecture, and cloud-native engineering.

Key Responsibilities

·        Architect enterprise data platforms.

·        Design Data Lakehouse architecture.

·        Build real-time streaming solutions.

·        Develop enterprise data APIs.

·        Design Data Mesh architecture.

·        Implement enterprise metadata management.

·        Build scalable cloud-native data services.

·        Optimize large-scale data processing.

·        Mentor engineering teams.

·        Define enterprise data engineering standards. 

Required Skills

·        Python

·        SQL

·        Databricks

·        Spark

·        Kafka

·        Snowflake

·        dbt

·        Apache Iceberg

·        Delta Lake

·        Airflow

·        Kubernetes

·        Docker

·        Terraform

·        Data Mesh

·        Data Lakehouse

Preferred Skills

·        Microsoft Fabric

·        AWS

·        Azure

·        Google Cloud Platform

·        Unity Catalog

·        AI Data Pipelines

Mandatory Skills

·        Databricks

·        Spark

·        Kafka

·        Snowflake

·        Data Lakehouse

·        Apache Iceberg

·        dbt

·        Airflow

·        Python

·        SQL

·        Kubernetes

·        Data Mesh

Best Regards:

Peerbhi SK
Phone:
Email: