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Remote Data Jobs in Kentucky (NOW HIRING)

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

The Phia Group

Data Engineer (Remote)

Louisville, KY · On-site +1

$104K - $125K/yr

The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and ...

BrightSpring

Senior Data Modeler

Louisville, KY · Remote

Ability to orchestrate and influence remote teams, ensuring successful implementation of complex data solutions. * Detail-oriented with excellent organizational skills. * Effective working in a cross ...

Bluelight Consulting

$94K - $113K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering ... Remote apply for this job

Bluelight Consulting

$94K - $113K/yr

As an ETL Data Engineer, you will play a critical role in our client's expanding data engineering ... Remote apply for this job

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$40K

$143.3K

$211.5K

How much do remote data jobs pay per year?

As of Jul 14, 2026, the average yearly pay for remote data in Kentucky is $143,323.00, according to ZipRecruiter salary data. Most workers in this role earn between $115,900.00 and $147,600.00 per year, depending on experience, location, and employer.

What are some common challenges faced when working as a Remote Data Analyst, and how can they be addressed?

Remote Data Analysts often face challenges such as maintaining effective communication with team members, managing access to secure data, and staying aligned with project goals across different time zones. These can be addressed by leveraging collaboration tools like Slack or Microsoft Teams, following strict data security protocols, and participating in regular virtual meetings to ensure everyone is on the same page. Proactive communication and strong organizational skills are key to thriving in a remote data role.

What is the difference between Remote Data vs Remote Data Analyst?

AspectRemote DataRemote Data Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; knowledge of databases and data toolsBachelor's in Data Science, Statistics, or related; proficiency in data analysis tools like Excel, SQL, and visualization software
Work EnvironmentRemote, often independent, with collaboration via online platformsRemote, involves analyzing data sets, creating reports, and communicating findings
Employer & Industry UsageTech companies, finance, healthcare, and e-commerceBusiness, marketing, finance, and tech sectors

Remote Data generally refers to roles focused on managing and processing data, while Remote Data Analyst emphasizes analyzing data to generate insights. Both roles often require similar educational backgrounds and work remotely, but Data Analysts typically focus more on interpreting data and creating reports for decision-making.

How can I make 2000 a week working from home?

Remote data roles such as data analyst or data scientist can offer high earning potential, with experienced professionals earning $2,000 or more weekly through project-based work, consulting, or full-time employment. Building skills in data analysis tools, programming languages, and obtaining relevant certifications can help increase earning capacity, especially when working independently or in specialized niches.

Are there real remote data entry jobs?

Yes, remote data entry jobs are available and involve inputting information into digital systems from home. These roles typically require basic computer skills, attention to detail, and sometimes familiarity with spreadsheet or database software. Legitimate positions are often posted on reputable job boards and do not require upfront fees.

How to make $1000 a week remotely?

Remote data roles such as data analyst or data scientist can generate $1000 or more weekly with experience, strong analytical skills, and proficiency in tools like Excel, SQL, or Python. Achieving this income often involves freelance projects, contract work, or full-time positions with high pay rates, and may require certifications or specialized knowledge in data management and analysis.

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

To thrive as a Remote Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in data science or a related field. Familiarity with data analysis tools such as Python, R, SQL, and platforms like Tableau or Power BI, along with relevant certifications, is typically required. Excellent self-motivation, time management, and communication skills help you stand out in a remote environment. These capabilities are crucial for delivering accurate insights, collaborating effectively from a distance, and meeting business objectives efficiently.

Is 40 too late for data science?

Age is not a barrier to entering data science, and many professionals start or transition into the field later in life. Success depends on acquiring relevant skills such as programming, statistics, and machine learning, often through online courses or certifications, regardless of age.

What are remote data jobs?

Remote data jobs are positions that involve collecting, analyzing, managing, or interpreting data while working from a location outside the traditional office environment. These roles can include data analysts, data scientists, data entry specialists, and database administrators, among others. Remote data professionals use online tools and platforms to access and process data, collaborate with teams, and deliver insights or reports. This flexible work arrangement allows individuals to contribute to data-driven projects from anywhere with an internet connection.
What are the most commonly searched types of Data jobs in Kentucky? The most popular types of Data jobs in Kentucky are:
What are popular job titles related to Remote Data jobs in Kentucky? For Remote Data jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Remote Data jobs in Kentucky look for? The top searched job categories for Remote Data jobs in Kentucky are:
What cities in Kentucky are hiring for Remote Data jobs? Cities in Kentucky with the most Remote Data job openings:
Remote Data jobs near you
Data Engineer (Remote)

Data Engineer (Remote)

The Phia Group

Louisville, KY • On-site, Remote

$104K - $125K/yr

Full-time

Re-posted 18 days ago

Job description

The Phia Group is a service- oriented organization assisting employee health plans nationwide. We provide our clients with innovative cost-cutting solutions and constantly expanding service offerings. We continue to enjoy growth thanks to our most valuable resource - our talented and committed team.
At The Phia Group, whose mission is to provide high quality yet affordable healthcare to American employees and their families, you can look forward to not only unparalleled benefits for yourself but also being immersed in a company that was named one of USA Today's Top Workplaces for 2026. Meanwhile, from a regional perspective, both The Boston Globe and Louisville Business First also recognized our unwavering commitment to upholding an internal culture of inclusivity, enjoyment, and empathy for our valued employees by listing The Phia Group in their respective lists for the Top Places to Work in 2026.
The Data Engineer is responsible for supporting the development, maintenance, and optimization of data pipelines and analytics-ready datasets. You will be collaborating across multiple teams and stakeholders to solve complex problems and support data-driven initiatives.
Essential Duties and responsibilities include the following; other duties may be assigned:
  • Build, maintain, and optimize data pipelines utilizing Azure Data Factory, ensuring data is ingested, transformed, and delivered to Snowflake reliably for analytics
  • Implement monitoring, alerts, and testing of data pipeline performance, data quality metrics, and lineage to ensure trustworthy data delivery
  • Troubleshoot data issues and perform root cause analysis to proactively resolve operational issues
  • Document data structures, processes, architectural decisions, and best practices for knowledge sharing
  • Develop, maintain, and optimize Snowflake objects (schemas, tables, views) and SQL transformations to produce curated, analytics-ready datasets
  • Collaborate with analysts, stakeholders, and product owners to translate business needs into data requirements and stable technical implementations
  • Enable data for AI/ML use cases by preparing feature-rich datasets, supporting feature engineering, and ensuring data consistency for model training and inference
  • Support deployment and operationalization of machine learning models by integrating pipelines with ML workflows (e.g., batch/real-time scoring)
  • Continually improve ongoing reporting and analytics, automating or simplifying self-service or manual processes
  • Implement version control practices for all data engineering code and documentation

Experience and Qualifications
  • Bachelor's degree in Computer Science, Computer Engineering, Information Technology, or a related field; or equivalent experience
  • 5+ years of experience in data engineering or business intelligence roles working with ETL, data modeling, data architecture, and developing pipelines and applications for analytics (e.g., BI, reporting, machine learning, deep learning)
  • Solid programming skills in advanced SQL, Python, or other programming languages for data processing and automation

Experience supporting or working with AI/ML workflows, including:
  • Data preparation and feature engineering for machine learning models
  • Integration of data pipelines with ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch, or similar)
  • Understanding of model lifecycle concepts (training, validation, deployment, monitoring)
  • Expertise working with Snowflake for data warehousing, including experience with schema design, performance tuning, and optimization
  • Proficiency with Git, Azure DevOps, and collaborative development best practices
  • Experience designing, developing, and deploying end-to-end pipelines using Azure Data Factory

Working Conditions / Physical Demands
Sitting at workstation for prolong periods of time. Extensive computer work. Workstation may be exposed to overhead fluorescent lighting and air conditioning. Fast paced work environment. Operates office equipment including personal computer, copiers, and fax machines.
This job description is not intended to be and should not be construed as an all-inclusive list of all the responsibilities, skills or working conditions associated with the position. While it is intended to accurately reflect the position activities and requirements, the company reserves the right to modify, add or remove duties and assign other duties as necessary.
External and internal applicants, as well as position incumbents who become disabled as defined under the Americans with Disabilities Act, must be able to perform the essential job functions (as listed here) either unaided or with the assistance of a reasonable accommodation to be determined by management on a case by case basis.

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