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Analytics Engineer Jobs in Georgetown, TX (NOW HIRING)

SHI

Sr. Software Engineer - Analytics Engineering

Austin, TX · On-site

$121K - $160K/yr

Job Summary We are seeking a highly skilled Sr. Software Engineer - Analytics Engineering with deep expertise in semantic modeling, DAX, and the Microsoft Fabric analytics ecosystem. This role is ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

The Opportunity We're looking for a Data / Analytics Engineer to own the data infrastructure that powers Arbor's intelligence layer. You'll be the connective tissue between our production systems and ...

Ercot

Operations Engineer Lead

Taylor, TX · On-site

$103K - $136K/yr

An Ancillary Service and Operations Analytics Engineer provides engineering analysis and technical support to ensure continuingreliable operations of the electric power grid in compliance with NERC ...

SolarWinds

Senior Data Engineer - People Technology

Austin, TX · On-site

$105K - $142K/yr

We are building our People Analytics platform from scratch on a modern data stack (GCP/BigQuery, CData, dbt). We are looking for a Senior Analytics Engineer to lead the architecture, implementation ...

System One

Failure Analysis Engineer

Austin, TX · On-site

Failure Analysis Engineer Location: Austin, TX Type: Direct Hire Requirements: * BS in Mechanical, Electrical engineering or similar field, MS is a plus * 3+ years' semiconductor related F/A work ...

System One

Failure Analysis Engineer

Austin, TX · On-site

Failure Analysis Engineer Location: Austin, TX Type: Direct Hire Requirements: * BS in Mechanical, Electrical engineering or similar field, MS is a plus * 3+ years' semiconductor related F/A work ...

Beyond SOF

Developer/Programmer Analyst

Austin, TX · On-site

Onsite Role Need resume by July 16th EOD Job Summary The Developer Analyst performs highly complex (senior-level) computer systems analysis and serves as the primary Drupal and WordPress ...

Safelease Inc

Data Analyst

Austin, TX · Hybrid

About The Role We're looking for an Analytics Engineer / Data Analyst to unlock the value of our data assets by transforming and presenting data in a way that drives action. You'll be a key voice in ...

Apple

Silicon Failure Analysis Engineer

Austin, TX · On-site

We have an opportunity for a forward-thinking and especially motivated Silicon Failure Analysis Engineer! As a member of our dynamic group, you will have the rare and great opportunity to work on ...

Apple

Silicon Failure Analysis Engineer

Austin, TX

We have an opportunity for a forward-thinking and especially motivated Silicon Failure Analysis Engineer! As a member of our dynamic group, you will have the rare and great opportunity to work on ...

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Showing results 21-40

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.

Sr. Software Engineer - Analytics Engineering

SHI International Corp.

Austin, TX • On-site

$121K - $160K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Job description

About Us
Since 1989, SHI International Corp. has helped organizations change the world through technology. We've grown every year since, and today we're proud to be a $16 billion global provider of IT solutions and services.
Over 17,000 organizations worldwide rely on SHI's concierge approach to help them solve what's next. But the heartbeat of SHI is our employees - all 7,000 of them. If you join our team, you'll enjoy:
  • Our commitment to diversity, as the largest minority- and woman-owned enterprise in the U.S.
  • Continuous professional growth and leadership opportunities.
  • Health, wellness, and financial benefits to offer peace of mind to you and your family.
  • World-class facilities and the technology you need to thrive - in our offices or yours.

Job Summary
We are seeking a highly skilled Sr. Software Engineer - Analytics Engineering with deep expertise in semantic modeling, DAX, and the Microsoft Fabric analytics ecosystem. This role is responsible for designing, optimizing, and maintaining enterprise-grade Power BI semantic models that deliver accurate, scalable, and actionable insights across the organization. The ideal candidate combines strong technical modeling expertise with business acumen, collaboration skills, and a commitment to data quality, governance, and performance.
This position is required to report to the Austin, TX or Somerset, NJ location on a hybrid basis.
Role Description
Semantic Modeling and DAX
  • Design, build, and optimize Power BI semantic models using Power BI Desktop, Tabular Editor, and related modeling tools.
  • Develop advanced DAX measures and calculations to support complex business logic, reporting requirements, and analytical use cases.
  • Ensure semantic models are scalable, maintainable, high-performing, and aligned with enterprise standards and best practices.
  • Optimize semantic models within Microsoft Fabric, including performance tuning, model architecture, refresh processes, and usability.
  • Troubleshoot Power BI models, measures, and refresh processes to improve reliability, efficiency, and user experience.

Microsoft Fabric and Analytics Engineering
  • Develop and maintain Power BI datasets, reports, dataflows, and related assets supporting enterprise analytics solutions.
  • Implement row-level security, incremental refresh, and other Power BI capabilities to support secure and efficient reporting.
  • Work within Microsoft Fabric to deliver analytics solutions across lakehouse, warehouse, data pipeline, and semantic model components.
  • Apply data modeling, analytics engineering, and performance optimization techniques to meet business and technical requirements.
  • Support the design and delivery of scalable and governed enterprise analytics platforms.

Collaboration, Governance, and Enablement
  • Partner with data engineers, analysts, business stakeholders, and report developers to understand requirements and deliver trusted analytics solutions.
  • Support BI governance initiatives through documentation, data quality practices, Microsoft Purview alignment, and version control processes.
  • Provide technical guidance, training, and support to end users, analysts, and junior developers.
  • Promote standards for semantic model design, naming conventions, documentation, security, governance, and lifecycle management.

Behaviors and Competencies
  • Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
  • Listening: Can actively engage in listening by asking clarifying questions and providing feedback that shows a deep understanding of the conversation.
  • Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.
  • Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
  • Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
  • Initiative: Can proactively seek out challenges, initiate projects, and contribute to innovative ideas.
  • Prioritization: Can proactively identify high-impact tasks, initiate action plans, and contribute to process improvements.
  • Time Management: Can consistently use time effectively, balance multiple tasks, and meet deadlines.
  • Technical Expertise: Can apply technical knowledge and skills effectively in complex situations and can guide others in the application of technical knowledge and skills.
  • Teamwork: Can lead a team effectively, facilitating cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.

Skill Level Requirements
  • Advanced expertise in analytics engineering, semantic modeling, and enterprise reporting solutions.
  • Strong proficiency with DAX, including the ability to design and implement complex business calculations.
  • Deep understanding of data warehousing concepts, dimensional modeling, star schema design, and analytics modeling best practices.
  • Experience applying data modeling, optimization, and performance tuning techniques to enterprise analytics solutions.
  • Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.
  • Ability to work effectively with technical teams and business stakeholders.
  • Experience implementing reporting security, governance standards, and data quality best practices.
  • Familiarity with Agile delivery methodologies and version control practices.

Other Requirements
  • Bachelor's degree in Computer Science, Software Engineering, or a related field, or relevant work experience required
  • 5+ years of experience developing Power BI solutions, including semantic models, reports, and enterprise analytics assets.
  • Hands-on experience with Power BI tools such as Tabular Editor, DAX Studio, and ALM Toolkit.
  • Experience working with Microsoft Fabric, including semantic models and analytics workloads.
  • Familiarity with lakehouse storage concepts and file formats such as Parquet and Delta.
  • Experience with Agile delivery practices and version control using GitHub or similar tools.
  • Ability to travel 10%

Preferred
  • Certification in Microsoft Power BI, Microsoft Fabric, Azure, or related Microsoft data platforms.
  • Experience using Python for data analysis, automation, or analytics engineering workflows.
  • Experience with PowerApps automation and Copilot Studio.

The estimated annual pay range for this position is $125,000 - $140,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
Equal Employment Opportunity - M/F/Disability/Protected Veteran Status
SHI International logo

About SHI International

Sourced by ZipRecruiter

SHI International, located in Somerset, NJ, US, is a global provider of technology products and services. Operating in the Information Technology and Services industry, SHI offers comprehensive IT solutions ranging from software and hardware procurement, deployment planning, cloud-based services, IT asset management, and more to a diverse client base. Founded in 1989 by Thai Lee, the company has grown exponentially, amassing a deep pool of expertise and earning recognition as one of North America's top 15 largest IT solutions providers. Driven by a mission to help customers select, deploy, and manage technologies that drive productivity, profitability, and innovation, SHI cherishes its reputation as a cost-effective, customer-centric technology partner.

Industry

It services

Company size

1,001 - 5,000 Employees

Headquarters location

Somerset, NJ, US

Year founded

1989

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