Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows. Responsibilities : • Write ...
Data Engineer
$128K - $154K/yr
We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...
Data Engineer
$128K - $154K/yr
We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling, and AIenabled ...
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
Greenwich, CT · On-site
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problem-solving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
$128K - $154K/yr
Responsibilities We are seeking a Data Engineer with strong engineering, coding, and problemsolving skills to design, build, and operate data platforms that support actuaries, analytics, modeling ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Hartford, CT · On-site
$70 - $80/hr
Data Engineer Location: Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data ...
Quick apply
Data Engineer
Hartford, CT · On-site
$70 - $80/hr
Data Engineer Location: Hartford Insurance Group, CT, 06155 Duration: 6+ Months Pay: $70-$80/hr on W2 Key Responsibilities Serve as subject matter expert and/or technical lead for large-scale data ...
Data Engineer
Windsor, CT · On-site
$55/hr
Qualifications Data Engineer need 5 years experience Data Engineer requires: * BS in Mathematics, Economics, Computer Science, Information Management or Statistics. * Expert knowledge in SQL query ...
Data Engineer
Windsor, CT · On-site
$55/hr
Qualifications Data Engineer need 5 years experience Data Engineer requires: * BS in Mathematics, Economics, Computer Science, Information Management or Statistics. * Expert knowledge in SQL query ...
Data Engineer
$114K - $137K/yr
The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization?s modern data ecosystem, including cloud-based data platforms, analytics ...
Data Engineer
$114K - $137K/yr
The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization?s modern data ecosystem, including cloud-based data platforms, analytics ...
Data Engineer
Newington, CT · On-site
$114K - $136K/yr
The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...
Data Engineer
Newington, CT · On-site
$114K - $136K/yr
The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organizations modern data ecosystem, including cloud-based data platforms, analytics ...
Data Engineer
Newington, CT · On-site
$114K - $136K/yr
The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization's modern data ecosystem, including cloud-based data platforms, analytics ...
Data Engineer
Newington, CT · On-site
$114K - $136K/yr
The Data Engineer is a strategic technical role responsible for architecting, building, and sustaining the organization's modern data ecosystem, including cloud-based data platforms, analytics ...
DATA Engineer
East Hartford, CT · On-site
$113K - $136K/yr
Must be Local only within 40 Miles area Relocation will not work Look insurance domain highly preferred 11 Years exp We are looking for a Senior Data Engineer to design, build, and optimize scalable ...
DATA Engineer
East Hartford, CT · On-site
$113K - $136K/yr
Must be Local only within 40 Miles area Relocation will not work Look insurance domain highly preferred 11 Years exp We are looking for a Senior Data Engineer to design, build, and optimize scalable ...
GCP Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...
Quick apply
GCP Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
GCP Data Engineer Location: Richardson,Texas or Hartford,CT, (Hybrid / Onsite as required) Employment Type: Contract (W2) Role Overview Our client is seeking an experienced GCP Data Engineer to ...
Data Engineer
Hartford, CT · Hybrid
$100K - $151K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Hartford, CT · Hybrid
$100K - $151K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills & Experience: • Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures ...
Data Engineer
Hartford, CT · On-site
$115K - $138K/yr
Data Engineer Location: Hartford, CT Onsite position Fulltime position JD: Required Skills & Experience: • Strong expertise in Oracle SQL & PL/SQL (writing complex queries, stored procedures ...
GCP Data Engineer
Hartford, CT · Hybrid
$115K - $138K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
GCP Data Engineer
Hartford, CT · Hybrid
$115K - $138K/yr
Data Engineer - GE08AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...
Data Engineer
Bridgeport, CT · On-site
$116K - $139K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...
Data Engineer
Bridgeport, CT · On-site
$116K - $139K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...
Data Engineer
Norwalk, CT · On-site
$115K - $138K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...
Data Engineer
Norwalk, CT · On-site
$115K - $138K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...
Sr Data Engineer
Shelton, CT · On-site
$114K - $137K/yr
Medical
Life
Retirement
The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway's enterprise data platform on Snowflake or Databricks. This role serves as a ...
Sr Data Engineer
Shelton, CT · On-site
$114K - $137K/yr
Medical
Life
Retirement
The Sr Data Engineer is a senior-level, hands-on technical leader responsible for designing, building, and evolving Subway's enterprise data platform on Snowflake or Databricks. This role serves as a ...
Data Engineer
Waterbury, CT · On-site
$117K - $140K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...
Data Engineer
Waterbury, CT · On-site
$117K - $140K/yr
Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in production or research settings Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools ...
1099 Data Engineer information
What are some common challenges faced by 1099 data engineers working as independent contractors?
As a 1099 Data Engineer, one of the main challenges is managing multiple client projects simultaneously while maintaining clear communication and meeting deadlines. Independent contractors are also responsible for their own tools, data security, and staying current with evolving technologies without direct employer support. Additionally, building trust with clients and consistently demonstrating value is essential, since contract extensions and new opportunities often depend on proven performance. Networking and self-promotion are key to securing a steady flow of projects.
What is a 1099 data engineer?
A 1099 Data Engineer is an independent contractor who designs, builds, and manages data systems for organizations, typically working on a project or freelance basis rather than as a full-time employee. The '1099' refers to the IRS tax form used for reporting income earned by self-employed individuals or contractors in the United States. Unlike traditional employees, 1099 Data Engineers are responsible for their own taxes and benefits, and they often work with multiple clients. Their duties may include data integration, pipeline development, database management, and ensuring data reliability. This role is ideal for those seeking flexible work arrangements and a variety of projects.
What are the key skills and qualifications needed to thrive as a 1099 data engineer?
To thrive as a 1099 Data Engineer, you need strong expertise in data modeling, SQL, ETL development, and programming languages like Python or Scala, typically supported by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or GCP), big data tools (like Spark or Hadoop), and certifications in these technologies are highly valued. Excellent problem-solving, communication, and time-management skills are crucial for independently managing projects and client relationships. These competencies ensure efficient data solutions, reliable project delivery, and successful collaboration in a contract-based environment.
What is the difference between 1099 Data Engineer vs W-2 Data Engineer?
| Aspect | 1099 Data Engineer | W-2 Data Engineer |
|---|---|---|
| Employment Status | Independent contractor, self-employed | Employee of the company |
| Credentials | Typically required to have relevant skills and certifications, but no employer-provided credentials | Same credentials as 1099, often with additional company-specific training |
| Work Environment | Remote or on-site, project-based | Usually on-site or hybrid, with company benefits |
| Tax & Benefits | Responsible for own taxes, no benefits | Employer handles taxes, provides benefits |
In summary, a 1099 Data Engineer works independently, managing their own taxes and benefits, while a W-2 Data Engineer is employed directly by a company with standard employee benefits. Both roles require similar skills and certifications, but differ mainly in employment status and associated responsibilities.
What are popular job titles related to 1099 Data Engineer jobs in Connecticut?
For 1099 Data Engineer jobs in Connecticut, the most frequently searched job titles are:
What job categories do people searching 1099 Data Engineer jobs in Connecticut look for?
The top searched job categories for 1099 Data Engineer jobs in Connecticut are:
What cities in Connecticut are hiring for 1099 Data Engineer jobs?
Cities in Connecticut with the most 1099 Data Engineer job openings:
$128K - $154K/yr
Full-time
Re-posted 6 days ago
W.R. Berkley rating
9.0
Based on 8 frontline employees who took The Breakroom Quiz
35th of 308 rated insurance
Job description
Job Summary:
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality code for data ingestion, transformation, orchestration, and monitoring.
• Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark‑based pipelines).
• Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
• Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability, documentation, and productivity.
• Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
• Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
• Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
• Communicate system design, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 4–7 years of relevant data engineering, software engineering, or technical experience.
• A Master’s degree in Data Engineering or Computer Science.
• Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
• Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
• Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
• Experience applying AI, machine learning, or LLM‑based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
• Experience working with large or complex data flows and creating defensible system designs and implementation plans.
• Strong professional judgment, curiosity, and attention to detail.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.
W. R. Berkley Corporation is one of the largest commercial lines property and casualty insurers in the United States. They are seeking a Data Engineer to design, build, and operate data platforms that support actuaries, analytics, modeling, and AI‑enabled workflows.
Responsibilities:
• Write production‑quality code for data ingestion, transformation, orchestration, and monitoring.
• Design, build, and maintain reliable, scalable data pipelines and data platforms, including batch or distributed processing workloads (e.g., Spark‑based pipelines).
• Partner with actuaries, analytics, data science, and business teams to enable modeling and AI uses.
• Apply AI‑assisted engineering approaches, including LLM‑enabled tools or agents, to improve data quality, observability, documentation, and productivity.
• Identify data quality issues, bottlenecks, and failure modes; design systems that are resilient and observable.
• Stay current with data engineering and AI platform advancements, evaluate new tools, and recommend adoption where appropriate.
• Apply professional skepticism and alternate approaches to validate data correctness, lineage, and assumptions.
• Communicate system design, trade‑offs, and limitations clearly to technical and non‑technical stakeholders.
• Provide support and guidance to others who are at earlier stages in their data engineering or AI journey.
Qualifications:
Required:
• 4–7 years of relevant data engineering, software engineering, or technical experience.
• A Master’s degree in Data Engineering or Computer Science.
• Familiarity with cloud data platforms and distributed processing frameworks (e.g., Databricks, Snowflake, Spark, or similar), and modern data engineering tooling.
• Strong programming skills, particularly in Python and SQL (including experience with distributed or batch processing frameworks such as PySpark or equivalent), with an emphasis on maintainable, testable code.
• Experience designing and operating data pipelines, data lakes/warehouses, or distributed data systems.
• Experience applying AI, machine learning, or LLM‑based tools to real engineering problems (e.g., building agents, calling model APIs, integrating AI into engineering workflows).
• Experience working with large or complex data flows and creating defensible system designs and implementation plans.
• Strong professional judgment, curiosity, and attention to detail.
Company:
Founded in 1967, W. R. Founded in 1967, the company is headquartered in Greenwich, USA, with a team of 5001-10000 employees. The company is currently Late Stage.