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Remote Data Capture Jobs in Connecticut (NOW HIRING)

Purplejack Technologies LLC

Snowflake Engineer

New Haven, CT · On-site +1

$115K - $138K/yr

Develop and support Change Data Capture (CDC) processes and Slowly Changing Dimensions (SCD Type 2) ... Remote/Hybrid candidates must be willing to travel onsite approximately once per month.

L3HHCM20

Principal, Capture Management

Hartford, CT · Remote

Remote Job Schedule: 9/80 Schedule (Off every other Friday) L3Harris Spectrum Superiority Sector is looking for a Principal Capture Manager to join our Networking and Data Links Solution Business ...

Purplejack Technologies LLC

Snowflake Developer

New Haven, CT · On-site +1

$115K - $138K/yr

New Haven, CT (Preferred) or Remote/Hybrid (Occasional travel, once a month) Job Title : Snowflake ... Data Capture (CDC) and Slowly Changing Dimensions (SCD Type 2) . · Support frameworks like Data ...

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All JobsData Capture JobsRemote Data Capture JobsRemote Data Capture Jobs in Connecticut

Remote Data Capture information

See Connecticut salary details

$5

$25

$54

How much do remote data capture jobs pay per hour?

As of Jun 15, 2026, the average hourly pay for remote data capture in Connecticut is $25.66, according to ZipRecruiter salary data. Most workers in this role earn between $15.53 and $40.91 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Capture vs Remote Data Entry?

AspectRemote Data CaptureRemote Data Entry
Primary FocusCollecting and recording data from various sources, often involving validation and initial processingInputting data into systems, typically from digital or physical sources
Required SkillsData collection techniques, attention to detail, basic technical knowledgeTyping speed, accuracy, familiarity with data management software
Work EnvironmentFieldwork, remote or on-site, involving data collection toolsRemote, computer-based work from home or office
Common CertificationsNone specific, but data collection or survey certifications can helpData entry certifications or proficiency tests

Remote Data Capture involves gathering data from various sources, often requiring validation and initial processing, while Remote Data Entry focuses on inputting data into systems with high accuracy. Both roles are remote-friendly and require attention to detail, but they differ in scope and primary tasks.

What are the key skills and qualifications needed to thrive as a Remote Data Capture Specialist, and why are they important?

To thrive as a Remote Data Capture Specialist, you need strong attention to detail, data entry proficiency, and a solid understanding of data management processes, often backed by a high school diploma or relevant experience. Familiarity with data capture software, spreadsheets (like Microsoft Excel or Google Sheets), and database management systems is typically required. Excellent organization, time management, and communication skills help you efficiently handle large volumes of data and collaborate remotely. These skills ensure accurate, timely data collection and integrity, which are critical for business operations and informed decision-making.

What is remote data capture?

Remote data capture refers to the process of collecting, recording, and transmitting data from various sources outside of a central location, typically using digital devices or software. This method allows organizations to gather accurate information from remote sites, field locations, or participants without requiring them to be physically present. Common applications include healthcare, research, logistics, and field service operations. The data is often transmitted electronically for real-time analysis and decision-making, improving efficiency and reducing manual errors.

What are some common challenges faced in a Remote Data Capture role, and how can they be managed effectively?

One of the main challenges in a Remote Data Capture role is maintaining accuracy and consistency when entering or verifying large volumes of data, especially when working independently. Distractions at home and varying digital tools can also impact productivity. To manage these challenges, it's important to establish a dedicated workspace, use reliable internet connections, and adhere to standardized procedures or checklists. Regular communication with team members and supervisors helps address data discrepancies quickly and ensures alignment with project goals.
What are popular job titles related to Remote Data Capture jobs in Connecticut? For Remote Data Capture jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching Remote Data Capture jobs in Connecticut look for? The top searched job categories for Remote Data Capture jobs in Connecticut are:
Remote Data Capture jobs near you
Infographic showing various Remote Data Capture job openings in Connecticut as of June 2026, with employment types broken down into 2% As Needed, 65% Full Time, 25% Part Time, 1% Temporary, 6% Contract, and 1% Nights. Highlights an 91% Physical, 3% Hybrid, and 6% Remote job distribution, with an average salary of $53,377 per year, or $25.7 per hour.

Snowflake Engineer

Purplejack Technologies LLC

New Haven, CT • On-site, Remote

$115K - $138K/yr

Other

Posted 4 days ago

Job description

Snowflake EngineerJob Details

Job Title: Snowflake Engineer
Location: New Haven, CT (Preferred) OR Remote/Hybrid (Occasional travel once per month)
Employment Type: Contract-to-Hire
Duration: 6–12 Months

Position Overview

We are seeking an experienced Snowflake Engineer to support and enhance enterprise ETL and data warehouse environments. The ideal candidate will possess strong expertise in Snowflake development, data warehousing methodologies, and production support. This role requires hands-on experience with Data Vault 2.0, dimensional modeling, data pipeline optimization, and enterprise-scale data operations.

The successful candidate will play a key role in designing, developing, supporting, and optimizing Snowflake-based data solutions while ensuring reliability, scalability, and performance across critical business systems.

Core Responsibilities

  • Manage the full lifecycle of Snowflake data operations, including monitoring, troubleshooting, performance tuning, and optimization of data pipelines.

  • Design, develop, and maintain scalable Snowflake data pipelines and data models.

  • Recommend and implement best practices for data ingestion, transformation, storage, security, and data governance.

  • Develop and support Change Data Capture (CDC) processes and Slowly Changing Dimensions (SCD Type 2) implementations.

  • Design and maintain Data Vault and dimensional data models within Snowflake environments.

  • Provide production support for Snowflake, IBM DB2, and ETL orchestration platforms.

  • Support and maintain scheduling and workflow orchestration tools such as Airflow and ESP.

  • Troubleshoot production incidents and participate in root cause analysis and issue resolution.

  • Collaborate with business and technical teams to deliver scalable and reliable data solutions.

  • Participate in on-call support and occasional after-hours maintenance activities as required.

Required Qualifications

  • Minimum 5 years of experience in Data Warehousing, Business Intelligence, Data Engineering, or Data Analysis.

  • Minimum 3 years of SQL development experience across multiple database platforms such as Snowflake, Oracle, SQL Server, and DB2.

  • Strong hands-on experience with Snowflake development, administration, data modeling, and security.

  • Experience designing and implementing Data Vault 2.0 architectures.

  • Strong understanding of dimensional modeling concepts and best practices.

  • Experience implementing CDC and SCD Type 2 methodologies.

  • Proficiency in SQL and scripting languages such as Python and Shell scripting.

  • Experience with orchestration and scheduling tools including Airflow and/or ESP.

  • Experience using Git for source code management and version control.

  • Familiarity with CI/CD processes and deployment best practices.

  • Experience working with incident management tools such as ServiceNow and Jira.

  • Strong troubleshooting and production support experience in enterprise data environments.

  • Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

  • Snowflake Certification.

  • Insurance industry experience.

  • Experience supporting large-scale enterprise data warehouse environments.

  • Knowledge of data governance, security, and compliance best practices.

  • Experience working in Contract-to-Hire environments.

Key Technical SkillsData Platforms

  • Snowflake

  • IBM DB2

  • Oracle

  • SQL Server

Data Warehousing

  • Data Vault 2.0

  • Dimensional Modeling

  • Data Architecture

  • ETL Development

Data Integration

  • CDC (Change Data Capture)

  • SCD Type 2

  • Data Pipelines

  • Data Transformation

Programming & Scripting

  • SQL

  • Python

  • Shell Scripting

Orchestration & DevOps

  • Apache Airflow

  • ESP

  • Git

  • CI/CD

Enterprise Tools

  • ServiceNow

  • Jira

Additional Information

  • Candidates local to New Haven, CT are strongly preferred.

  • Remote/Hybrid candidates must be willing to travel onsite approximately once per month.

  • Participation in on-call rotations and occasional after-hours support is required.

Work Authorization Accepted

✅
✅
✅ Holder

No H1B, OPT, CPT, TN, or other visa sponsorship available for this position.

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