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1099 Data Engineer Jobs in Kentucky (NOW HIRING)

AvKARE, LLC

Sr. AI Engineer

Fountain Run, KY · On-site +1

$88K - $121K/yr

Description The Sr. AI Engineer will report directly to the Sr. Director of Data Analytics & AI Ecosystems and serve as a primary hands-on builder within the company's AI Ecosystem, anchored by the ...

Bluelight Consulting

$101K - $133K/yr

Data Access: Heavy experience with relational databases (PostgreSQL), data storage systems, and ... Partner with product managers and data engineering teams to safely extract, parse, and serve multi ...

Relativity

Software Engineer

Louisville, KY · On-site

Posting Type Hybrid/Remote Job Overview WHO WE ARE Relativity is a leading legal data intelligence ... WHAT WE DO At Relativity, engineers don't just write code. They build the systems that power AI ...

Frankfort Plant Board

Electric Engineer

Frankfort, KY · On-site

... office engineering, property research, encroachment permits, considering environmental impact ... and Data Acquisition (SCADA) system. 5. Performs system modeling and planning to identify problem ...

Goodwill Kentucky

Data Analyst

Louisville, KY · On-site

The Data Analyst will ensure the integrity of data entry, follow up, and reporting as it relates to designated programs or grants. If you are looking for an opportunity that allows you to reach new ...

The Georgetown University

Data Analyst

Bowling Green, KY

$26.26 - $48.32/hr

The Data Analyst may interact with clinical trial subjects to plan visits to the clinical trial, as well as schedule the subjects in Google Calendar. The Data Analyst will work with the Clinical ...

Easy Recruiter

Data Analyst

Lexington, KY

As a Data Analyst in the Finance Data Analytics department, you will be responsible for maintaining, improving, and building new reporting capabilities for cross-functional areas of the business. By ...

GE Appliances

AI Software Engineer

Louisville, KY · On-site +1

The AI Software Engineer will work as part of a cross-functional team of engineers, architects, and ... Analyze basic performance metrics and customer interaction data to help identify issues and ...

Holley Performance

Senior Software Engineer

Bowling Green, KY · On-site

$120K - $158K/yr

Design and implement robust server-side logic, manage data pipelines, and ensure API efficiency and security. * Embed security-first principles to safeguard user data and ensure compliance with ...

Toyota

Physical AI Senior Engineer

Georgetown, KY · On-site

$94K - $129K/yr

Bachelor's or master's degree in Robotics, Computer Science, Data Science, Electrical Engineering, Mechanical Engineering, or related technical field (or equivalent experience). * Demonstrated ...

Humana

Senior AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

We build the platform that transforms millions of clinical documents into trusted, actionable data ... As a Senior AI Applied Engineer, you will design, build, deploy, and operate production AI systems ...

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1099 Data Engineer information

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 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 the difference between 1099 Data Engineer vs W-2 Data Engineer?

Aspect1099 Data EngineerW-2 Data Engineer
Employment StatusIndependent contractor, self-employedEmployee of the company
CredentialsTypically required to have relevant skills and certifications, but no employer-provided credentialsSame credentials as 1099, often with additional company-specific training
Work EnvironmentRemote or on-site, project-basedUsually on-site or hybrid, with company benefits
Tax & BenefitsResponsible for own taxes, no benefitsEmployer 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 Kentucky?

For 1099 Data Engineer jobs in Kentucky, the most frequently searched job titles are:

What job categories do people searching 1099 Data Engineer jobs in Kentucky look for?

The top searched job categories for 1099 Data Engineer jobs in Kentucky are:

What cities in Kentucky are hiring for 1099 Data Engineer jobs?

Cities in Kentucky with the most 1099 Data Engineer job openings:

1099 Data Engineer jobs near you

Sr. AI Engineer

AvKARE, LLC

Fountain Run, KY • On-site, Remote

$88K - $121K/yr

Full-time

Medical, Dental, Retirement

This job post has expired 4 days ago. Applications are no longer accepted.

Job description

Description
The Sr. AI Engineer will report directly to the Sr. Director of Data Analytics & AI Ecosystems and serve as a primary hands-on builder within the company's AI Ecosystem, anchored by the AIMES (AI Mini-Ecosystem) platform. This role is responsible for developing and maintaining Copilot Studio agents, Power Automate orchestration flows, Python-based tooling and dashboards, and supporting the training, tuning, and evaluation of AI models used across the organization.
This role combines hands-on AI/automation engineering with data analytics capability. In the near term, the emphasis is on building out the AI Ecosystem: agents, automation, and integrations. As that build-out matures, the role is expected to shift toward analyzing the data and outcomes produced by those systems, generating insights, and supporting data-driven decision-making alongside the Sr. Director. The Sr. AI Engineer should be equally comfortable building an agent and analyzing the data it produces, with strong Python fundamentals, disciplined GitHub/CI-CD practices, and the ability to translate ecosystem roadmap priorities into working, production-ready solutions on the existing Microsoft 365 E5 platform.
Essential Duties & Responsibilities
  • Design, build, and maintain Copilot Studio agents, including conversational flows, tool/function calling, and retrieval-augmented generation (RAG) integration against the SharePoint Document Repository.
  • Develop, test, and support Power Automate flows for orchestration, approval routing, reminders/escalation, and reconciliation, following documented build and change-control discipline.
  • Write and maintain Python code for automation scripting, API integrations, data pipelines, and dashboard generation (e.g., Chart.js-based visualizations).
  • Support AI model training, fine-tuning, and prompt engineering efforts, including embeddings generation, vector search configuration, and RAG pipeline construction and upkeep.
  • Manage source control in GitHub, following branching, pull-request review, and versioning discipline consistent with team standards.
  • Design and implement CI/CD pipelines for AI and automation deliverables, ensuring reliable, repeatable, and auditable deployment.
  • Integrate solutions with the broader Microsoft 365 / Power Platform environment, including SharePoint, Dataverse, and related services.
  • Maintain documentation, testing evidence, and change logs aligned with the organization's SOX and CMMC compliance requirements, including human sign-off on automated approvals and per-action audit logging.
  • Partner with the Sr. Director of Data Analytics & AI Ecosystems to execute the AIMES roadmap and support enterprise AI Ecosystem initiatives (Automation Hub, Intelligence Hub, and related components).
  • Troubleshoot production automation and agent issues, verifying ground truth against live system behavior rather than assumed outcomes.
  • Contribute to cross-training efforts, sharing AI/automation engineering knowledge with other members of the Data Analytics & AI Ecosystems team.
  • Analyze data generated by AI agents, automation flows, and integrated systems to identify trends, performance issues, and opportunities for improvement.
  • Build and maintain reporting and dashboards that translate AI Ecosystem activity and outcomes into actionable insight for the Sr. Director and business stakeholders.
  • Partner with the Sr. Director on data analytics work as the AI Ecosystem build-out matures, with the expectation that analytics responsibility grows over time as agent and automation development stabilizes.

Job Requirements
  • Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent hands-on experience.
  • 5+ years of software engineering experience, with recent, demonstrable focus on AI/LLM-enabled tooling and automation.
  • Hands-on experience with Microsoft Copilot Studio or a comparable conversational AI/agent development platform.
  • Strong working experience with Power Automate and the broader Power Platform.
  • Proficiency in Python required; familiarity with TypeScript/JavaScript is a plus.
  • Experience working with AI/LLM APIs (e.g., OpenAI, Anthropic), including structured prompting, function calling/tool use, embeddings, RAG, and vector search.
  • Practical GitHub experience and familiarity with building and maintaining CI/CD pipelines.
  • Experience building dashboards or data visualizations (e.g., Chart.js, Power BI, or similar tooling).
  • Familiarity with the Microsoft 365 ecosystem, including SharePoint and Dataverse.
  • Experience operating in a regulated or compliance-driven environment (SOX, CMMC, HIPAA, or similar) is a plus.
  • Strong communication skills and the ability to work directly and iteratively with technical leadership.
  • Working knowledge of data analytics practices, including the ability to interpret data, identify trends, and translate findings into clear, actionable recommendations.
  • Comfort moving between hands-on engineering work and data/analytics work as priorities shift over time.

Key Competencies
  • AI/Automation Engineering Depth - Hands-on ability to design and build production-grade AI agents and automation.
  • Agent & Workflow Architecture - Understanding of how to structure agents, flows, and RAG pipelines for reliability and maintainability.
  • Python Engineering - Strong scripting and application development skills.
  • DevOps/CI-CD Discipline - Comfort with source control, structured deployment, and repeatable delivery practices.
  • Compliance Awareness - Ability to build within SOX/CMMC constraints, including audit logging and human sign-off requirements.
  • Collaborative Execution - Ability to take direction from the Sr. Director and execute against a shared roadmap with minimal rework.
  • Data Analytics Fluency - Ability to analyze data and translate it into insight, growing in emphasis as the AI Ecosystem build-out matures.

Supervisory Responsibility
This position has no direct reports. The role reports directly to the Sr. Director of Data Analytics & AI Ecosystems.
Work Environment
This is a fully remote position. The employee will primarily work from a home office environment and is responsible for maintaining a reliable, secure workspace and internet connection sufficient to support production systems, video conferencing, and collaboration tools. This role routinely uses standard office equipment such as computers, phones, and related technology.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job.
While performing the duties of this job, the employee is regularly required to talk and hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms and requires the ability to occasionally lift office products and supplies up to 20 pounds.
Position Type and Expected Hours of Work
This is a full-time position, and hours of work and days are generally Monday through Friday, during day shift hours. Occasional after-hours or weekend work may be required to support production deployments or time-sensitive builds.
Travel
Travel for this position is expected to be occasional, primarily for team collaboration, planning sessions, or on-site project needs. Travel up to 20% should be expected.
Benefits:
  • Competitive salary and bonus structure
  • Comprehensive health, dental, and retirement plans
  • Ongoing professional development opportunities
  • A dynamic and collaborative work environment

#WeAreHealthDelivered
Other Duties
Please note this job description is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities that are required of the employee for this job. Duties, responsibilities and activities may change at any time with or without notice.
AvKARE/R&S Northeast is an E-Verify and Equal Opportunity Employer. All qualified applicants will receive considerations for employment without regard to race, color, religion, sex, age, disability, marital status, sexual orientation, genetic information, gender identity, national origin, citizenship status, disabled veteran or veteran of Vietnam era, or any legally recognized status entitled to protection under applicable federal and state local laws. #INDHP1

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