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Senior Data Analytics Engineer Jobs in Austin, TX

Healthtronics

Data Analytics Engineer

Austin, TX · On-site

$108K - $129K/yr

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making ...

Pump Dynamics

Analytics Engineer

Austin, TX · On-site

Working in close partnership with the Head of Data & Analytics and Senior Data Engineer / Data Architect, this person will own the user experience and interaction layer of our data product --how ...

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 ...

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 ...

1 point system

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

We're looking for a Senior Data Engineer to design and deliver modern ELT pipelines, scalable architectures, and analytics-ready datasets that accelerate engineers, analysts, and data scientists. You ...

Wise

Senior Data Analytics Manager

Austin, TX · On-site

We are looking for a Senior Data Analytics Manager to lead analytics for the Americas Compliance ... Experience using data engineering tools (GitHub, dbt, Airflow etc.) to transform messy data into ...

3coresystems

Senior Data Analyst

Austin, TX · Hybrid

$85K - $107K/yr

... and data engineers to understand business needs, design and support data solutions, ensure data quality and governance, and deliver meaningful analytics that drive results. The ideal candidate ...

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 ... Working closely with Data Engineering, Data Architecture, and the BI team, you will translate ...

K&L Gates

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

The Senior Data Engineer contributes to the Enterprise Applications, Data, and AI Platforms group ... analytics, reporting, and AI-related workloads effectively. • Optimizing data performance ...

YETI Coolers LLC

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

About the Role The Senior Data Engineer will be part of a team that designs, builds, and operates ... This role is critical to enabling modern analytics, advanced reporting, and data-driven decision ...

YETI Coolers LLC

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

About the Role The Senior Data Engineer will be part of a team that designs, builds, and operates ... This role is critical to enabling modern analytics, advanced reporting, and data-driven decision ...

Smadex

Senior Data Scientist

Austin, TX · On-site

They are seeking a Senior Data Scientist to analyze complex data sets and collaborate with the ML ... Analyst / Data Scientist. • Bachelor's or Master's Degree in a Quantitative Field (Engineering ...

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 ...

Georgia IT, Inc.

Sr.Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Georgia IT, Inc. is seeking a Senior Data Engineer to join their team in Austin, Texas. The role ... analytics tasks. Responsibilities : • Responsible for building and maintaining scalable and ...

Eitacies Inc

Sr GCP Data Engineer

Austin, TX · On-site

$114K - $137K/yr

Benefits: * 401(k) Senior Data Platform Engineer Onsite Austin, TX We are hiring a Senior Data Platform Engineer for an onsite role in Phoenix, AZ. This role requires strong hands-on experience ...

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All JobsData Analytics Engineer JobsSenior Data Analytics Engineer JobsSenior Data Analytics Engineer Jobs in Austin, TX

Senior Data Analytics Engineer information

See Austin, TX salary details

$80.3K

$125.2K

$173.5K

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

As of Sep 2, 2026, the average yearly pay for senior data analytics engineer in Austin, TX is $125,218.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,100.00 and $142,700.00 per year, depending on experience, location, and employer.

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.

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 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 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.

What are the most commonly searched types of Data Analytics Engineer jobs in Austin, TX?

The most popular types of Data Analytics Engineer jobs in Austin, TX are:

What are popular job titles related to Senior Data Analytics Engineer jobs in Austin, TX?

For Senior Data Analytics Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Senior Data Analytics Engineer jobs in Austin, TX look for?

The top searched job categories for Senior Data Analytics Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Senior Data Analytics Engineer jobs?

Cities near Austin, TX with the most Senior Data Analytics Engineer job openings:

Senior Data Analytics Engineer jobs near you
Infographic showing various Senior Data Analytics Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $125,218 per year, or $60.2 per hour.

Data Analytics Engineer

Healthtronics

Austin, TX • On-site

$108K - $129K/yr

Full-time

Posted 5 days ago

Job description

SUMMARY OF PURPOSE:

The Data Analytics Engineer is responsible for designing, building, and maintaining scalable data pipelines, analytics platforms, and reporting solutions that enable data-driven decision making across the organization. This role bridges the gap between data engineering and business intelligence by transforming raw data into trusted, accessible, and actionable insights. The Data Analytics Engineer collaborates closely with business stakeholders, data analysts, IT teams, and leadership to deliver high-quality data solutions that support strategic objectives. 

ESSENTIAL FUNCTIONS:

Data Engineering & Integration 

  • Design, develop, and maintain ETL/ELT processes for ingesting, transforming, and integrating data from multiple sources. 
  • Build and optimize data pipelines to ensure data quality, reliability, and performance. 
  • Develop and maintain enterprise data models, data warehouses, and data marts. 
  • Monitor and troubleshoot data workflows and resolve data-related issues. 

Analytics & Reporting 

  • Create and maintain dashboards, reports, and self-service analytics solutions using modern BI tools. 
  • Translate business requirements into scalable analytical solutions. 
  • Develop KPIs, metrics, and reporting frameworks to measure business performance. 
  • Support ad hoc data analysis and reporting requests. 

Data Governance & Quality 

  • Implement data quality controls and validation processes. 
  • Ensure compliance with organizational data governance policies and security standards. 
  • Maintain data dictionaries, metadata, and documentation. 
  • Promote best practices for data management and analytics. 

 

 

Collaboration & Business Partnership 

  • Partner with business stakeholders to understand reporting and analytical needs. 
  • Work closely with application teams and business process owners to improve data accessibility and usability. 
  • Provide technical guidance and mentoring to analysts and other team members. 
  • Present analytical findings and recommendations to leadership. 


POSITION REQUIREMENTS - REQUIRED QUALIFICATIONS: 

  • Bachelor's degree in Computer Science, Information Systems, Data Analytics, Engineering, Mathematics, or a related field. 
  • 3+ years of experience in data engineering, analytics engineering, business intelligence, or related roles. 
  • Strong SQL development and database management skills. 
  • Experience with data warehouse technologies and cloud data platforms. 
  • Proficiency in Python, SQL, or other data processing languages. 
  • Experience with BI and visualization tools such as Sigma, Tableau, or similar platforms. 
  • Knowledge of ETL/ELT frameworks and data integration methodologies. 

 

PREFERRED QUALIFICATIONS: 

  • Experience with Azure Data Factory, Microsoft Fabric, Synapse Analytics, Databricks, or Snowflake. 
  • Understanding of data governance and master data management practices. 
  • Experience working in Agile environments. 
  • Relevant certifications in Azure, Microsoft Fabric, Power BI, or data engineering technologies. 

 

KEY COMPETENCIES: 

  • Analytical thinking and problem-solving 
  • Data modeling and architecture 
  • Stakeholder communication 
  • Process improvement 
  • Attention to detail 
  • Project management and prioritization 
  • Collaboration and teamwork 

 

SUCCESS MEASURES: 

  • Delivery of reliable and scalable analytics solutions. 
  • Improvement in data quality and reporting accuracy. 
  • Reduction in manual reporting efforts. 
  • Increased adoption of self-service analytics capabilities. 
  • Timely delivery of data and analytics initiatives aligned with business goals. 

 
 

PHI ACCESS: 

  • This position requires access to PHI due to reporting and data content