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Senior Data Analytics Engineer Jobs in Kentucky (NOW HIRING)

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Partner with Analytics Engineering to deliver clean, curated data that supports enterprise ...

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Partner with Analytics Engineering to deliver clean, curated data that supports enterprise ...

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Partner with Analytics Engineering to deliver clean, curated data that supports enterprise ...

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Job Summary As a Senior Data Engineer, you will play a key role in building and evolving the data ... Partner with Analytics Engineering to deliver clean, curated data that supports enterprise ...

Sr. Data, Reporting Analyst

Louisville, KY ยท On-site

$78K - $99K/yr

... analytics, and visualization solutions. Partners with business stakeholders to gather requirements ... Data Engineers and Database Administrators. * Create and maintain data models, report datasets ...

Senior Data Scientist (SMTS)

Bellevue, KY ยท On-site

$148.50 - $223.90/hr

The Data Science & Analytics team in Salesforce Cyber Security Operations Center seeks an ... We partner with threat, product, and engineering teams to deliver defenses that not only operate at ...

Senior Data Scientist

Canada, KY ยท On-site +1

$140K - $180K/yr

Its team of skilled Data Engineers, Data Scientists, Machine Learning (ML) Experts, and AI ... With the recent acquisition of Strong Analytics, an ML and AI consultancy, OneSix is a uniquely ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Use data analysis and visualization tools (examples include SQL, Python, Jupyter Notebooks, and ... engineering preferred * M.S. or Ph.D. in a related field highly desired * 5+ years of experience ...

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools

We are seeking a Senior Data Scientist who will contribute to Generative AI initiatives at Humana ... DevOps teams * Proficiency in SQL, Python, PySpark, and data analysis/data mining tools

Data Analyst Senior

Lexington, KY ยท On-site

$81K - $103K/yr

Set up and maintain data processes and new analytics capabilities; Produce and track key ... Confer with systems analysts, engineers, programmers, and others to design applications that assess ...

Data Analyst Senior

Lexington, KY ยท On-site

$81K - $103K/yr

Set up and maintain data processes and new analytics capabilities; Produce and track key ... Confer with systems analysts, engineers, programmers, and others to design applications that assess ...

$69K - $87K/yr

As a Senior Business Data Analyst, you will serve as a senior analytics partner and business ... Institutional Analytics and Stakeholder Partnership : Partners with leadership and staff across ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary The Opportunity As a Data Engineer - Senior Associate, you will focus on designing and ...

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Showing results 1-20

Senior Data Analytics Engineer information

See Kentucky salary details

$70.4K

$109.7K

$152K

How much do senior data analytics engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for senior data analytics engineer in Kentucky is $109,720.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,100.00 and $125,100.00 per year, depending on experience, location, and employer.

What is the difference between Senior Data Analytics Engineer vs Data Scientist?

AspectSenior Data Analytics EngineerData Scientist
CredentialsBachelor's/Master's in Data Science, Computer Science, or related fieldsBachelor's/Master's in Data Science, Statistics, or related fields
Work EnvironmentFocus on data pipelines, analytics tools, and reporting systemsFocus on model development, statistical analysis, and predictive modeling
Industry UsageUsed in analytics teams to build data infrastructure and insightsUsed in R&D, product development, and research teams for modeling

While both roles require strong analytical skills and similar educational backgrounds, Senior Data Analytics Engineers primarily focus on building and maintaining data infrastructure and delivering insights through analytics tools. Data Scientists, on the other hand, concentrate on developing predictive models and statistical analysis. The roles often collaborate but serve different functions within data-driven organizations.

How does a senior data analytics engineer typically collaborate with cross-functional teams to deliver insights?

As a Senior Data Analytics Engineer, you will frequently work with stakeholders in product, marketing, and engineering to translate business needs into data solutions. This involves gathering requirements, designing and building data pipelines, and presenting actionable insights. Effective communication and regular meetings with team members ensure that data models and dashboards align with business objectives. You may also mentor junior analysts and engineers, fostering a collaborative and knowledge-sharing environment.

What does a senior data analytics engineer do?

A Senior Data Analytics Engineer is responsible for designing, developing, and maintaining scalable data pipelines and analytical solutions. They work closely with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability. Their role often includes optimizing data workflows, implementing best practices in data management, and mentoring junior team members. Additionally, they help translate business needs into technical solutions to support data-driven decision making.

What are the key skills and qualifications needed to thrive as a senior data analytics engineer, and why are they important?

To thrive as a Senior Data Analytics Engineer, you need expertise in statistics, data modeling, and programming languages such as Python or SQL, typically backed by a degree in computer science, engineering, or a related field. Experience with data analytics tools (e.g., Tableau, Power BI), cloud platforms (e.g., AWS, Azure), and relevant certifications like Google Data Engineer are highly valued. Strong problem-solving, communication, and leadership skills help you translate complex data insights into actionable business strategies and mentor junior team members. These capabilities are crucial for delivering accurate data-driven solutions that drive organizational decision-making and innovation.
What are the most commonly searched types of Data Analytics Engineer jobs in Kentucky? The most popular types of Data Analytics Engineer jobs in Kentucky are:
What are popular job titles related to Senior Data Analytics Engineer jobs in Kentucky? For Senior Data Analytics Engineer jobs in Kentucky, the most frequently searched job titles are:
What job categories do people searching Senior Data Analytics Engineer jobs in Kentucky look for? The top searched job categories for Senior Data Analytics Engineer jobs in Kentucky are:
What cities in Kentucky are hiring for Senior Data Analytics Engineer jobs? Cities in Kentucky with the most Senior Data Analytics Engineer job openings:
Infographic showing various Senior Data Analytics Engineer job openings in Kentucky as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 14% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $109,720 per year, or $52.8 per hour.

SENIOR DATA ENGINEER

Fischer Homes

Erlanger, KY โ€ข On-site

$104K - $142K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 20 days ago


Job description

Job Summary
As a Senior Data Engineer, you will play a key role in building and evolving the data foundation that powers decision-making across The Fischer Group. You'll design, develop, and maintain scalable data pipelines and modern Lakehouse/Warehouse solutions on the Microsoft Fabric platform, ensuring business data is accurate, reliable, and analytics-ready. In this role, you'll help modernize our data ecosystem by migrating legacy solutions, establishing engineering best practices, and partnering with Analytics, Business Intelligence, and IT teams to deliver trusted data that drives business insights. If you enjoy solving complex data challenges, building cloud-native solutions, and shaping the future of enterprise analytics, this role offers the opportunity to make a lasting impact.
This position is 100% onsite, day 1 in our Erlanger, KY office.
You will thrive in this role if you:
  • Enjoy designing scalable data solutions that enable better business decisions.
  • Are passionate about building reliable, high-performing cloud data platforms.
  • Take ownership of data quality, governance, and pipeline reliability.
  • Enjoy solving complex technical challenges while continuously improving existing processes.
  • Thrive in collaborative environments where you partner with Analytics, Business Intelligence, and Software Development teams.
  • Stay current with emerging technologies and enjoy applying modern engineering practices to improve efficiency.
  • Like mentoring others and helping establish engineering standards across a growing team.

These skills will be used to:
  • Design, build, and maintain scalable ETL/ELT pipelines using Microsoft Fabric and related cloud technologies.
  • Develop and optimize Lakehouse and Data Warehouse architectures for performance, scalability, and cost efficiency.
  • Modernize legacy SSIS and on-premises data solutions by migrating them to cloud-based platforms.
  • Build reliable, automated data ingestion processes using incremental loading, orchestration, and monitoring best practices.
  • Implement data quality testing, validation, and governance to ensure trusted, analytics-ready datasets.
  • Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics.
  • Establish reusable engineering patterns, documentation, and development standards for the Data Engineering team.
  • Troubleshoot and resolve production pipeline issues while continuously improving reliability and operational performance.
  • Mentor junior engineers and contribute to continuous improvements in source control, CI/CD, and deployment processes.

Required Qualifications:
  • Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent professional experience.
  • Three (3)+ years of experience designing, building, and supporting enterprise data pipelines (ETL/ELT) in a production environment.
  • Strong proficiency in SQL and experience with Python (PySpark preferred).
  • Hands-on experience with Microsoft Fabric, Azure Data Factory, Azure Synapse, Databricks, Snowflake, or a similar cloud data platform.
  • Experience implementing data ingestion strategies, incremental loading, watermarking, and reliable pipeline architecture.
  • Experience with source control and CI/CD practices using Git or similar tools.
  • Strong analytical, problem-solving, communication, and organizational skills.

Preferred Qualifications:
  • Microsoft Certified: Fabric Data Engineer Associate (DP-700), or actively pursuing certification.
  • Experience migrating legacy SSIS or on-premises data environments to cloud-based Lakehouse architectures.
  • Experience with data quality frameworks, pipeline monitoring, and data contracts.
  • Familiarity with dimensional modeling (Kimball methodology).
  • Experience working in Agile environments using Scrum or Kanban methodologies.
  • Experience mentoring or leading other Data Engineers.
  • Understanding of AI, Machine Learning, and generative AI technologies.
  • Experience implementing AI-enabled solutions or machine learning models within enterprise data environments.

Physical Demands and Work Environment:
  • Must be able to use verbal communication skills to effectively interact with associates, business partners, and customers.
  • Must be able to perform repetitive motions and use fine motor skills while operating standard office equipment.
  • Must be able to lift and carry approximately 20-25 pounds unassisted.
  • Must be able to remain seated for extended periods with occasional standing, walking, and reaching.

The Value of a Career with The Fischer GroupThe Fischer Group is a family of companies focused on delivering exceptional experiences across homebuilding, financial services, and real estate. Through our businesses, we are committed to quality, growth, and long-term success for both our customers and our Associates.
We believe our success is driven by our people. We seek out talented individuals and provide the training, resources, and support needed to grow their careers and make a meaningful impact. The rewards for their efforts are:
  • Professional Development Training programs
  • Health Insurance
  • Tuition Reimbursement
  • Competitive Compensation
  • 401(k) with Company matching contributions and profit-sharing
  • Employee Life Insurance
  • Personal time off
  • Inclusive Leave

The Fischer Group holds the highest ethical standards of business. We are honest and straightforward and stand by our word. Our actions demonstrate respect, courtesy, and fairness.