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Data Engineer Data Analyst Jobs in Kentucky (NOW HIRING)

Data Engineer

Bowling Green, KY ยท On-site

$112K - $134K/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 ...

Lockheed Martin is looking for a Data Engineer who will deliver end to end, full stack data ... Lifecycle Management โ€ข Conduct data profiling, requirement analysis, and performance tuning ...

You will apply systems engineering principles to design, build, and operate scalable pipelines that collect, ingest, transform, store, and serve data for analytics and mission critical applications ...

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 ...

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

SENIOR DATA ENGINEER

Erlanger, KY

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

SENIOR DATA ENGINEER

Erlanger, KY ยท On-site

$104K - $142K/yr

Partner with Analytics Engineering to deliver clean, curated data that supports enterprise reporting and self-service analytics. * Establish reusable engineering patterns, documentation, and ...

$69K - $87K/yr

As a Senior Business Data Analyst, you will serve as a senior analytics partner and business intelligence subject matter expert, helping offices across the institution transform complex data into ...

Sr. Data, Reporting Analyst

Louisville, KY ยท On-site

$78K - $99K/yr

As a Sr. Data & Reporting Analyst, your primary focus will be on transforming complex data into ... Data Engineers and Database Administrators. * Create and maintain data models, report datasets ...

Data Scientist Analyst Location: This role requires associates to be in-office 1 day per week ... Apply NLP techniques and prompt engineering to build conversational and generative AI systems.

Ability to work collaboratively with business stakeholders, data engineers, and technical teams to gather requirements, document data flows, and support scalable analytical solutions * Driving ...

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Showing results 21-40

Data Engineer Data Analyst information

How do data engineer data analysts typically collaborate with data scientists and business stakeholders?

Data Engineer Data Analysts play a crucial role in bridging the technical and analytical needs of an organization. They work closely with data scientists by preparing, cleaning, and structuring large datasets to enable advanced analytics and modeling. Additionally, they collaborate with business stakeholders to understand data requirements, translate business questions into technical solutions, and deliver actionable insights. Effective communication and teamwork are essential, as the role often involves facilitating data access, ensuring data quality, and aligning data projects with business objectives.

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

To thrive as a Data Engineer/Data Analyst, you need strong analytical and statistical skills, proficiency in programming languages like Python or SQL, and typically a degree in computer science, statistics, or a related field. Familiarity with data warehousing tools, ETL processes, and experience with platforms like Hadoop, Spark, or Tableau is often required. Attention to detail, problem-solving ability, and effective communication are crucial soft skills for interpreting data and sharing insights with stakeholders. These competencies ensure accurate data management, insightful analysis, and support data-driven decision-making within organizations.

What is the difference between Data Engineer Data Analyst vs Data Scientist?

AspectData EngineerData Scientist
Required CredentialsBachelor's in CS, Engineering, or related; often certifications in cloud or data toolsBachelor's or higher in CS, Statistics, or related; often advanced degrees
Work EnvironmentBuilds data pipelines, manages databases, ensures data flowAnalyzes data, creates models, interprets insights
Employer & Industry UsageTech companies, finance, healthcare, e-commerceResearch firms, tech, finance, marketing

Data Engineers focus on developing and maintaining data infrastructure, while Data Scientists analyze data to generate insights. Both roles require strong technical skills, but Data Engineers are more involved in data architecture, whereas Data Scientists focus on modeling and analysis.

What job categories do people searching Data Engineer Data Analyst jobs in Kentucky look for? The top searched job categories for Data Engineer Data Analyst jobs in Kentucky are:
What cities in Kentucky are hiring for Data Engineer Data Analyst jobs? Cities in Kentucky with the most Data Engineer Data Analyst job openings:
Infographic showing various Data Engineer Data Analyst job openings in Kentucky as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 81% In-person, 7% Hybrid, and 12% Remote job distribution.

Data Engineer

Bespoke Labs

Bowling Green, KY โ€ข On-site

$112K - $134K/yr

Full-time

Re-posted 24 days ago


Job description

About Us

We are AI researchers and builders who understand how to curate data and RL environments that truly improve models. We curated OpenThoughts, one of the best open reasoning datasets, and have trained SOTA models such as Bespoke-MiniCheck and Bespoke-MiniChart.

We are embarked on a journey to build Environments that are entire digital worlds that can be used to push the frontier of agents.

What You'll Be Working On

You will work directly with our research team on RL environment and task creation for agent training. This means designing observation spaces, action spaces, reward signals, and success criteria for new environments โ€” and building the infrastructure that makes world-scale RL training possible. This is a high-ownership role; you will be building novel systems, not maintaining legacy ones.

Must-Have Skills

3+ years of data engineering experience โ€” pipelines, ETL, data modeling in production or research settings

Strong Python proficiency (numpy, pandas, Parquet, HDF5 are daily tools)

Familiarity with at least one RL framework (Gymnasium / OpenAI Gym, dm_env, or equivalent) and working knowledge of RL environment structure โ€” observation/action spaces, reward signals, episode logic

Experience with data versioning and experiment tracking (DVC, MLflow, W&B, or similar)

Comfortable with Docker and cloud infrastructure (AWS or GCP)

Solid grasp of ML storage formats: Parquet, HDF5, JSON Lines