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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 ...

Sr. Data Analyst

Windsor, CT · On-site

$45 - $50/hr

... 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 ...

Employ hands-on approach to data collection, analysis, recommendations of opportunities, and ... This temporary process engineer position will be eligible for our base medical benefits package ...

Employ hands-on approach to data collection, analysis, recommendations of opportunities, and ... This temporary process engineer position will be eligible for our base medical benefits package ...

Salesforce Developer

Hartford, CT · On-site

$10 - $15/hr

C2C / W2 / 1099 Duration: Long-Term Preference: Connecticut local candidates preferred Experience ... Develop and optimize SOQL queries, Salesforce data models, and database interactions * Collaborate ...

Collect, analyze, document, and report test data to engineering and program stakeholders. * Enter ... We offer excellent opportunities for contract, temporary, temp-to-hire, and direct assignments. We ...

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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

Posted 5 days ago


Job description

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

Job Summary
We are seeking an experienced Data Engineer to join our team in Chicago, IL. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines and modern data infrastructure to support business intelligence, analytics, and machine learning initiatives. The successful candidate will have strong expertise in ETL/ELT development, cloud platforms, SQL optimization, and large-scale data processing.

Key Responsibilities

·        Design, develop, and optimize scalable data pipelines for enterprise data platforms.

·        Build and maintain robust data ingestion frameworks from multiple structured and unstructured data sources.

·        Develop, implement, and optimize ETL/ELT workflows for processing large-scale datasets.

·        Design and maintain data models to support reporting, analytics, and business intelligence.

·        Monitor data pipeline performance and troubleshoot production issues.

·        Ensure data accuracy, integrity, security, and governance across all data platforms.

·        Optimize SQL queries and database performance for high-volume workloads.

·        Implement data quality checks, validation frameworks, and monitoring processes.

·        Collaborate with data scientists, analysts, software engineers, and business stakeholders to deliver reliable data solutions.

·        Support cloud-based data engineering initiatives and continuously improve data processing performance.

Required Skills

·        Strong experience with Data Engineering concepts and best practices.

·        Expertise in ETL/ELT pipeline development.

·        Strong SQL programming and query optimization skills.

·        Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.

·        Hands-on experience building scalable data pipelines.

·        Knowledge of data modeling and data warehousing concepts.

·        Experience with data integration from multiple data sources.

·        Strong troubleshooting and performance tuning skills.

·        Familiarity with data governance, security, and data quality frameworks.

Preferred Skills

·        Experience with PySpark, Spark, or distributed data processing frameworks.

·        Experience with Azure Data Factory (ADF), Databricks, or similar ETL tools.

·        Exposure to machine learning data pipelines.

·        Knowledge of DevOps and CI/CD for data engineering

Best Regards:

Peerbhi SK
Phone:
Email: