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Analytics Engineer Jobs in Georgetown, TX (NOW HIRING)

Civitech

Analytics Engineer

Austin, TX · On-site +1

$85K - $95K/yr

The Analytics Engineer will turn raw voter, district shape, and product data into clean, well-modeled, trustworthy datasets that power dashboards, pipelines, and the tools our partners rely on every ...

Setpoint

Staff Analytics Engineer

Austin, TX · On-site +1

We are looking for a Staff Analytics Engineer to join our team supporting our external data products. In this position, you will report to our Head of Analytics and partner closely with the ...

GigSafe

Analytics Engineer

Austin, TX · On-site

They are seeking an Analytics Engineer to own the data stack, build data pipelines, and deliver insights that drive decisions across the business. Responsibilities : • Build and maintain data ...

Setpoint

Staff Analytics Engineer

Austin, TX · Hybrid

We are looking for a Staff Analytics Engineer to join our team supporting our external data products. In this position, you will report to our Head of Analytics and partner closely with the ...

Premier Truck Rental

Senior Analytics Engineer

Austin, TX · On-site

$103K - $142K/yr

POSITION SUMMARY As a Senior Analytics Engineer , you will serve as the technical leader responsible for building and maintaining the transformation and semantic layer that powers enterprise-wide ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

DoorDash

Analytics Engineer, Data Science

Austin, TX · On-site

About the Team The Analytics Engineering team at DoorDash is embedded within the Analytics and Data Engineering Orgs, and is responsible for building internal data products that scale decision-making ...

Apple

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

eBay Inc.

Speech & Text Analytics Engineer

Austin, TX · On-site

$98K - $173K/yr

We are looking for a hands-on Speech and Text Analytics Engineering Specialist to own the design, configuration, development of pipelines using APIs, validation, and developing tools using AI ...

eBay, Inc.

Speech & Text Analytics Engineer

Austin, TX · On-site

$98K - $173K/yr

We are looking for a hands-on Speech and Text Analytics Engineering Specialist to own the design, configuration, development of pipelines using APIs, validation, and developing tools using AI ...

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All JobsAnalytics Engineer JobsAnalytics Engineer Jobs in Georgetown, TX

Analytics Engineer information

What do analytics engineers do?

Analytics engineers design, build, and maintain data pipelines and infrastructure to enable data analysis and reporting. They work with tools like SQL, Python, and data warehouses to ensure data is accurate, accessible, and well-structured for analysts and data scientists. Their role often involves collaborating with teams to optimize data workflows and ensure data quality.

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

To thrive as an Analytics Engineer, you need a strong foundation in data modeling, SQL, and analytics engineering principles, often supported by a degree in computer science, data science, or a related field. Proficiency with data transformation tools such as dbt, cloud data warehouses like Snowflake or BigQuery, and version control systems like Git is essential. Strong problem-solving skills, communication, and collaboration abilities help translate business needs into scalable data solutions and foster teamwork. These skills and qualities are crucial for ensuring data quality, building reliable analytics infrastructure, and enabling data-driven decision-making across organizations.

What is the difference between Analytics Engineer vs Data Engineer?

AspectAnalytics EngineerData Engineer
CredentialsOften requires SQL, Python, data modeling certificationsRequires similar skills, often with additional focus on infrastructure and systems
Work EnvironmentFocuses on data analysis, visualization, and reportingBuilds data pipelines, manages data infrastructure
Industry UsageCommon in analytics teams, BI, and data-driven rolesPrevalent in data engineering, data platform teams

While both roles work closely with data, Analytics Engineers primarily focus on transforming data for analysis and visualization, whereas Data Engineers build the infrastructure and pipelines that enable data access. Understanding these differences helps in choosing the right career path or job role.

How does an analytics engineer typically collaborate with data scientists and business stakeholders on projects?

Analytics Engineers play a critical bridge role between data engineering and data analysis. They work closely with data scientists to transform raw data into clean, reliable datasets that are ready for advanced analytics or modeling. At the same time, they collaborate with business stakeholders to understand reporting needs, ensuring that data models align with business goals. Regular communication and iterative feedback are key, as Analytics Engineers often gather requirements, build data pipelines, and adjust data products based on stakeholder input.

What is an analytics engineer?

An Analytics Engineer is a professional who bridges the gap between data engineering and data analysis. They are responsible for designing, building, and maintaining data models, pipelines, and analytics tools that enable organizations to make data-driven decisions. Analytics Engineers often work closely with data analysts and business stakeholders to ensure clean, reliable, and well-structured data is available for reporting and analysis. Their work typically involves using SQL, data transformation tools like dbt, and cloud data warehouses to create scalable and efficient data solutions.
What are the most commonly searched types of Analytics Engineer jobs in Georgetown, TX? The most popular types of Analytics Engineer jobs in Georgetown, TX are:
What job categories do people searching Analytics Engineer jobs in Georgetown, TX look for? The top searched job categories for Analytics Engineer jobs in Georgetown, TX are:
What cities near Georgetown, TX are hiring for Analytics Engineer jobs? Cities near Georgetown, TX with the most Analytics Engineer job openings:
Analytics Engineer jobs near you
Infographic showing various Analytics Engineer job openings in Georgetown, TX as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 88% In-person, and 12% Remote job distribution.

Analytics Engineer

Ensemble Health Partners, Inc.

Austin, TX • On-site

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.

Ensemble Health Partners rating

6.6

Company rating: 6.6 out of 10

Based on 244 frontline employees who took The Breakroom Quiz

141st of 150 rated financial services

Job description

Thank you for considering a career at Ensemble!
Ensemble is a leading provider of technology-enabled revenue cycle management solutions for health systems, including hospitals and affiliated physician groups. They offer end-to-end revenue cycle solutions as well as a comprehensive suite of point solutions to clients across the country.
Ensemble keeps communities healthy by keeping hospitals healthy. We recognize that healthcare requires a human touch, and we believe that every touch should be meaningful. This is why our people are the most important part of who we are. By empowering them to challenge the status quo, we know they will be the difference!
O.N.E Purpose:
  • Customer Obsession: Consistently provide exceptional experiences for our clients, patients, and colleagues by understanding their needs and exceeding their expectations.
  • Embracing New Ideas: Continuously innovate by embracing emerging technology and fostering a culture of creativity and experimentation.
  • Striving for Excellence: Execute at a high level by demonstrating our "Best in KLAS" Ensemble Difference Principles and consistently delivering outstanding results.

The Opportunity:
As a Senior Analytics Engineer, you will play a critical role in advancing Ensemble's data, automation, and AI strategy within Revenue Cycle Management (RCM).
We prioritize strong analytics engineering fundamentals, modern data stack expertise, and scalable design practices. Healthcare RCM experience is a strong advantage but not required - domain expertise can be developed. Technical excellence, engineering rigor, and systems thinking are essential.
Essential Job Functions
  • Design, develop, test, deploy, monitor, and continuously improve high-quality data models and transformation pipelines using dbt within a Databricks Lakehouse environment.
  • Build scalable, maintainable, and reusable data models, macros, testing frameworks, and automation logic that address cross-functional AR Follow-Up needs.
  • Collaborate with operational and product stakeholders to translate AR workflows into technical designs and incremental deliverables that enable automation and intelligent prioritization.
  • Partner with data architecture to establish, document, and advocate for analytics engineering standards, modeling conventions, naming patterns, and testing best practices.
  • Participate in and help lead technical design sessions, spike investigations, and data architecture reviews to ensure alignment with long-term platform and automation strategy.
  • Engage in code reviews to ensure data model quality, promote modular and testable design, and mentor engineers through constructive, actionable feedback.
  • Troubleshoot complex data issues across ingestion, transformation, and semantic layers, driving sustainable, long-term fixes.
  • Contribute to a culture of analytics engineering excellence by promoting automation, observability, data quality testing, governance, and continuous improvement.
  • Design and optimize Delta Lake tables and Spark workloads for performance, scalability, and cost efficiency.
  • Help evaluate emerging tools, frameworks, and vendor solutions within the modern data ecosystem and provide guidance on their potential impact or value.
  • Support the transformation of AR Follow-Up through structured datasets that enable (for example):
  • Account prioritization and scoring
  • Denial categorization and trend analysis
  • Aging analysis and performance tracking
  • Workflow routing and automation logic

Qualifications
  • Bachelor's degree in computer science, Engineering, Mathematics, Statistics, or related technical field.
  • 5+ years of experience in analytics engineering, data engineering, or advanced BI building production-grade data solutions.
  • Strong hands-on experience with dbt in a modern ELT environment (or similar framework).
  • Experience working with Databricks, Spark, and Delta Lake (or similar distributed data platforms).
  • Advanced SQL expertise and experience optimizing large-scale data transformations.
  • Deep understanding of analytics engineering best practices including automated testing, CI/CD, modular design, observability, and governance.
  • Experience building scalable data models in distributed or cloud-based architectures.
  • Strong communication skills with the ability to translate complex technical concepts to diverse stakeholders.
  • Demonstrated curiosity and interest in enabling AI, ML, or intelligent automation initiatives.
  • Demonstrated knowledge of data architecture principles, modeling patterns, and analytics engineering best practices.

Preferred Skills:
  • Experience working with healthcare revenue cycle management data (claims, remittances, denials, payments, AR aging).
  • Familiarity with AR Follow-Up workflows, operational work queues, or denial management processes.
  • Experience supporting automation, workflow optimization, or rule-based systems.
  • Exposure to ML feature engineering, model enablement, or AI-driven insights within Databricks.
  • Experience working in regulated industries requiring strong data governance and compliance controls.
  • Must be inquisitive and demonstrate openness to innovation including AI to explore better processes and ways to alleviate friction and improve patient and client experiences.
  • This position pays between $101,600- 175,200, based on experience
  • This is a remote position; however, candidates must be willing and able to travel to and work onsite at client, temporary, or corporate office locations as business needs require.

#LI-BT1
#LI-Remote
Join an award-winning company
Five-time winner of "Best in KLAS" 2020-2022, 2024-2025
Black Book Research's Top Revenue Cycle Management Outsourcing Solution 2021-2024
22 Healthcare Financial Management Association (HFMA) MAP Awards for High Performance in Revenue Cycle 2019-2024
Leader in Everest Group's RCM Operations PEAK Matrix Assessment 2024
Clarivate Healthcare Business Insights (HBI) Revenue Cycle Awards for strong performance 2020, 2022-2023
Energage Top Workplaces USA 2022-2024
Fortune Media Best Workplaces in Healthcare 2024
Monster Top Workplace for Remote Work 2024
Great Place to Work certified 2023-2024
  • Innovation
  • Work-Life Flexibility
  • Leadership
  • Purpose + Values

Bottom line, we believe in empowering people and giving them the tools and resources needed to thrive. A few of those include:
  • Associate Benefits - We offer a comprehensive benefits package designed to support the physical, emotional, and financial health of you and your family, including healthcare, time off, retirement, and well-being programs.
  • Our Culture - Ensemble is a place where associates can do their best work and be their best selves. We put people first, last and always. Our culture is rooted in collaboration, growth, and innovation.
  • Growth - We invest in your professional development. Each associate will earn a professional certification relevant to their field and can obtain tuition reimbursement.
  • Recognition - We offer quarterly and annual incentive programs for all employees who go beyond and keep raising the bar for themselves and the company.

Ensemble is an equal employment opportunity employer. It is our policy not to discriminate against any applicant or employee based on race, color, sex, sexual orientation, gender, gender identity, religion, national origin, age, disability, military or veteran status, genetic information or any other basis protected by applicable federal, state, or local laws. Ensemble also prohibits harassment of applicants or employees based on any of these protected categories.
Ensemble provides reasonable accommodations to qualified individuals with disabilities in accordance with the Americans with Disabilities Act and applicable state and local law. If you require accommodation in the application process, please contact TA@ensemblehp.com.
This posting addresses state specific requirements to provide pay transparency. Compensation decisions consider many job-related factors, including but not limited to geographic location; knowledge; skills; relevant experience; education; licensure; internal equity; time in position. A candidate entry rate of pay does not typically fall at the minimum or maximum of the role's range.
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