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Senior Data Engineer Jobs in Prospect, KY (NOW HIRING)

Patientco

Senior Data Engineer

Louisville, KY

$101K - $138K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud ...

Crew Career Center

Senior Data Engineer

Louisville, KY · On-site

$101K - $138K/yr

ABOUT THIS POSITION Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud ...

Humana

Senior Data Scientist

Louisville, KY · Hybrid

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Execution of data science initiatives ...

Humana

Senior Data Scientist

Louisville, KY · Hybrid

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Execution of data science initiatives ...

Humana

Senior Data Scientist

Louisville, KY · Hybrid

MLOps & DevOps Collaboration Work with engineering and product teams to implement best practices for deploying and maintaining AI models in production. * Execution of data science initiatives ...

GE Appliances

Senior AI Engineer

Louisville, KY · On-site

$100K - $137K/yr

The Senior AI Engineer will work closely with senior engineers and architects to deliver production ... Integrate enterprise data platforms, APIs, and services through well-defined contracts and ...

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All JobsData Engineer JobsSenior Data Engineer JobsSenior Data Engineer Jobs in Prospect, KY

Senior Data Engineer information

See Prospect, KY salary details

$74.2K

$115.7K

$160.3K

How much do senior data engineer jobs pay per year?

As of Aug 31, 2026, the average yearly pay for senior data engineer in Prospect, KY is $115,727.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,100.00 and $131,900.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

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

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What do senior data engineers do?

Senior data engineers design, build, and maintain large-scale data pipelines and infrastructure to support data collection, storage, and analysis. They often work with tools like SQL, Spark, and cloud platforms, and may lead data team projects while ensuring data quality and security.

What cities near Prospect, KY are hiring for Senior Data Engineer jobs?

Cities near Prospect, KY with the most Senior Data Engineer job openings:

Senior Data Engineer jobs near you
Infographic showing various Senior Data Engineer job openings in Prospect, KY as of August 2026, with employment types broken down into 78% Full Time, and 22% Contract. Highlights an 74% In-person, and 26% Remote job distribution, with an average salary of $115,727 per year, or $55.6 per hour.

Senior Data Engineer

Louisville, KY

Patientco
1 - 10 employees
Learn more about Patientcoexternal

$101K - $138K/yr

Full-time

Medical, Retirement, PTO

Posted 12 days ago

Job description

ABOUT THIS POSITION

Waystar is seeking a highly skilled Senior Data Engineer to join our Business Data & Architecture team and help advance our enterprise Data Modernization Program on Google Cloud Platform (GCP).
This is a senior individual contributor role focused on designing, building, and optimizing scalable data solutions that enable analytics, reporting, governance, and AI initiatives across the enterprise. The ideal candidate is a hands-on engineer with deep technical expertise in cloud data platforms, data modeling, ELT development, and modern engineering practices.
You will work across the full data lifecycle, from data ingestion and transformation to orchestration, quality, observability, and governance, helping deliver trusted and scalable data products that support business decision-making.

WHAT YOU'LL DO

Data Pipeline Development & Optimization

  • Design, build, and maintain scalable ELT pipelines into BigQuery using Fivetran, APIs, Python, and cloud-native services
  • Develop and optimize bronze, silver, and gold data layers following Medallion Architecture principles
  • Create and maintain reusable dbt models that support enterprise reporting, analytics, and self-service use cases
  • Design and implement scalable ingestion patterns for structured and semi-structured data
  • Troubleshoot and resolve complex data pipeline, transformation, and performance issues
  • Improve pipeline reliability, performance, scalability, and maintainability

Data Modeling & Analytics Enablement

  • Design and implement scalable data models supporting business intelligence, analytics, and operational reporting
  • Partner with business analysts, product owners, and stakeholders to understand and translate requirements into technical solutions
  • Develop reusable business-focused datasets and metrics aligned with enterprise standards
  • Support semantic modeling and reporting initiatives across business domains
  • Contribute to the standardization of enterprise metrics and reporting assets

Data Quality, Observability & Reliability

  • Implement automated data validation, testing, and data quality checks
  • Develop monitoring, alerting, and observability capabilities across the data platform
  • Investigate and resolve data anomalies, processing issues, and performance bottlenecks
  • Support operational excellence through logging, incident analysis, and root cause investigations
  • Ensure data consistency, accuracy, and reliability across ingestion and transformation processes

Platform Engineering & Automation

  • Develop and maintain orchestration workflows using Cloud Composer (Managed Airflow)
  • Contribute to CI/CD pipelines using GitHub and modern deployment practices
  • Support Infrastructure-as-Code initiatives using Terraform and platform automation tools
  • Improve engineering efficiency through automation, reusable components, and standard development patterns
  • Participate in platform optimization and modernization initiatives

Data Governance & Security

  • Support data classification, lineage, metadata management, and governance initiatives
  • Implement secure access controls and data protection practices aligned with enterprise standards
  • Partner with Data Governance teams to improve data discoverability and trust
  • Ensure compliance with regulatory, privacy, and security requirements
  • Contribute to documentation and operational standards for enterprise data assets

Collaboration & Continuous Improvement

  • Collaborate with engineers, architects, analysts, and business stakeholders across multiple domains
  • Participate in technical design reviews and engineering discussions
  • Perform peer code reviews and support engineering quality standards
  • Contribute to documentation, knowledge sharing, and reusable engineering practices
  • Evaluate new technologies and recommend platform improvements where appropriate

WHAT YOU'LL NEED

  • Bachelor's degree in computer science, Information Systems, Data Engineering, or a related field
  • 5+ years of experience in Data Engineering or a related technical discipline
  • Strong hands-on experience with Google Cloud Platform (GCP)
  • Advanced expertise in BigQuery
  • Strong experience with dbt and modern ELT development practices
  • Advanced SQL development and query optimization skills
  • Strong Python programming experience
  • Experience building scalable data pipelines and transformation frameworks
  • Experience working with APIs and data integration patterns
  • Experience with workflow orchestration tools such as Airflow or Cloud Composer
  • Experience with GitHub, source control, and CI/CD development practices
  • Strong understanding of dimensional modeling and analytics engineering concepts
  • Strong troubleshooting, problem-solving, and analytical skills
  • Excellent communication and collaboration skills

Preferred Qualifications

  • Experience supporting enterprise-scale data modernization programs
  • Experience migrating workloads from Snowflake, Azure, SQL Server, Teradata, or other platforms to BigQuery
  • Experience with Terraform and Infrastructure-as-Code practices
  • Familiarity with Google Dataplex, Knowledge Catalog, or metadata management solutions
  • Experience with Cloud Run, Cloud Functions, or serverless technologies
  • Experience implementing data quality, testing, and observability frameworks
  • Experience supporting healthcare, payments, or regulated industry environments
  • Familiarity with Data Mesh and domain-driven data ownership concepts
  • Experience supporting AI, machine learning, or advanced analytics initiatives

Competencies Overview

  • Cloud Data Engineering (GCP / BigQuery) - Advanced
  • ELT Pipeline Development - Advanced
  • Data Modeling & Analytics Engineering - Advanced
  • SQL & Query Optimization - Advanced
  • Python Development - Advanced
  • Data Quality & Observability - Advanced
  • Data Governance & Security - Strong
  • Problem Solving & Troubleshooting - Advanced
  • Collaboration & Stakeholder Partnership - Strong
  • Delivery Execution & Accountability - Strong

Skills Overview

Core Technologies

  • Google Cloud Platform (GCP)
  • BigQuery
  • dbt / dbt Cloud
  • Fivetran
  • Python
  • SQL
  • GitHub
  • Cloud Composer (Managed Airflow)
  • Cloud Functions
  • REST APIs and Data Integration Frameworks
  • CI/CD Pipelines

Preferred Technologies

  • Terraform
  • Dataplex
  • Knowledge Catalog
  • Cloud Run
  • Snowflake
  • Azure Data Factory (ADF)
  • Data Quality & Observability Platforms
  • Metadata Management Solutions

ABOUT WAYSTAR

Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.

Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful,optimistic & fun.

Waystar products have won multiple Best in KLAS or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.comor follow @Waystaron Twitter.

WAYSTAR PERKS

  • Competitive total rewards (base salary + bonus, if applicable)
  • Customizable benefits package (3 medical plans with Health Saving Account company match)
  • We offer generous paid time off for our non-exempt team members, starting with 3 weeks +13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
  • Paid parental leave (including maternity + paternity leave)
  • Education assistance opportunities and free LinkedIn Learning access
  • Free mental health and family planning programs, including adoption assistance and fertility support
  • 401(K) program with company match
  • Pet insurance
  • Employee resource groups

Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.

This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

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