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Senior Data Analytics Engineer Jobs in Austin, TX

Senior Data Analyst, Avail

Austin, TX

$85K - $107K/yr

The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize ... data engineering partner. * Independently conduct end-to-end data analytical work from data ...

Senior Data Engineer

Austin, TX · On-site

$144K - $187K/yr

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data ... Its automated identity threat protection solutions use advanced analytics and AI to accelerate ...

As a Senior Data Engineer at SpyCloud, you will lead the architectural transformation of our data systems, working closely with Product Management, SpyCloud Labs, and Engineering teams. Your focus ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

You will work closely with analysts, data engineers, business leaders, and technical stakeholders to create reliable data pipelines,maintainand enhance our data warehouse, and build scalable data ...

Exempt The Senior Manager, Development Data Analytics is a senior-level individual contributor responsible for shaping how data drives decision-making across the renewable energy development ...

Data Services Engineer SR

Austin, TX

$113K - $136K/yr

We are currently seeking an experienced Senior Data Services Engineer to design, build, and ... Data Analysis and Insight Generation: * Utilize advanced data preparation, modeling, analysis, and ...

Senior Data Engineer

Austin, TX · Remote

$105K - $142K/yr

We're growing our data engineering team to design and operate the production systems that make our ... analytics work scalable, observable, reliable, and economical. This is a platform-ownership role ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

About the role As a Senior Data Engineer on the Viewer Product Data Engineering team, you will play ... AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Cross-functional data engineering support ... Support Analytics, Operations, and Business teams in data initiatives, deeply understanding ...

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

As a Senior Data Engineer working on Device metrics, you will design data models & develop scalable ... AI agents and smart tools help power drafts, analysis, and repetitive workflows, while our people ...

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 ...

Senior Data Scientist

Austin, TX · On-site

$155K - $200K/yr

... analytics, machine learning, and generative AI. As a Senior AI & Data Scientist, you will help ... Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a ...

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 ...

Customer Engineer, Data & Analytics

Austin, TX · On-site

$113K - $136K/yr

As a Customer Engineer, Data & Analytics, you will be the technical expert in client-facing roles, focusing on designing and delivering data solutions on Google Cloud Platform, while collaborating ...

Showing results 41-60

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:

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.

$85K - $107K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 20 days ago


Job description

Realtor.com is a two-sided platform helping match the consumers on our site and apps to our paying customers. The Data Science & Analytics team at Realtor.com provides trusted data and insights to optimize every aspect of consumer/customer experience and to drive the company's commercial performance.

Avail Realtor.com is a fast-growing platform transforming how independent landlords and tenants manage the rental experience. Built with the spirit of a startup and backed by the scale and stability of a leading digital real estate company, Avail provides a complete suite of tools, resources, and education to help landlords manage their properties with confidence and professionalism. As part of the Avail team, you'll have the opportunity to make a meaningful impact - shaping the future of this rapidly expanding brand and helping to reimagine the rental industry for millions across the U.S..

About the Role

We're looking for an experienced Senior Data Analyst with a strong background in business intelligence and strategic analytics to help shape the future of Avail. As a trusted partner to the Avail leadership team, you will be the vital link between complex data and pivotal business moves, striving to enable and empower data-driven decision making across the business.

In this role, you will analyze large and complex data sets, define and track business KPIs, build automated reporting solutions, conduct robust analyses, generate actionable insights, and deliver clear recommendations that inform critical decisions across strategy, product, marketing, and operations.

The ideal candidate is a detail-oriented analytics expert, a self-starter comfortable with ambiguity, and a team player who excels in cross-functional collaborations, with the ability to work in a fast-paced environment, and driven by a desire to make things better.

Responsibilities
  • Partner closely with Avail business stakeholders to understand/clarify needs and requirements, and translate them into analytical problems.
  • If the required data is not available, work with the team to identify the right data sources, and build analytical data layers in collaboration with the data engineering partner.
  • Independently conduct end-to-end data analytical work from data collection, ETL, analysis, to the delivery of insights and recommendations.
  • Serve as Avail's Business Intelligence expert and own KPI development, measurement, tracking, and reporting. Closely monitor KPIs and carry out deep-dive analysis to explain changes and trends, and surface areas of opportunities.
  • Own and run regular business performance reporting, and actively contribute analytics-related content to business reviews and other reports.
  • Build automated reports and dashboards using tools such as Tableau, Mixpanel, etc.
  • Build and grow adoption of self-service solutions that empower stakeholders to access data and insights, and hence accelerate data-driven decision making.
  • Conduct market and competitor analysis using a variety of internal and external data sources.
  • Work with Avail leadership team on strategic initiatives and planning, providing analytical support on financial modeling, forecast, opportunity sizing, and so on.
Minimum Requirements
  • Bachelor's degree, ideally in a quantitative field or Data/Business Analytics.
  • 6+ years of relevant experience as a Data Analyst, Business Analyst, or similar role.
  • SQL proficiency is a must, with 6+ years of experience.
  • Proficiency with Excel/Google Sheets for quick reporting and ad hoc analysis.
  • Strong capability to work with complex data sets and perform EDA, descriptive, diagnostic, and predictive analyses.
  • Experience with cloud-based data environments such as Snowflake and AWS.
  • Significant experience creating business intelligence reports using Tableau, Mixpanel, Power BI, or similar tools.
  • Proven experience using data and analytics to drive revenue and other business KPIs, and doing so in a proactive manner by actively seeking to identify opportunities.
  • Excellent written and verbal communication skills, with experience presenting to diverse technical and business audiences at different levels.
  • Experience in collaborating with cross-functional partners.
  • Experience managing multiple priorities, responding to urgent data requests, and adapting to changing business needs and priorities.
Preferred Qualifications
  • Master's degree in a quantitative field or Data/Business Analytics.
  • Proficiency with a scripting language such as Python or R.
  • Experience in the tech sector, especially marketplace or property tech.
How We Work:

We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our Austin headquarters, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.

How We Reward You:

Realtor.com is committed to investing in the health and wellbeing of our employees and their families. Our benefits programs include, but are not limited to:

  • Inclusive and Competitive medical, Rx, dental, and vision coverage
  • Family forming benefits
  • 13 Paid Holidays
  • Flexible Time Off
  • 8 hours of paid Volunteer Time off
  • Immediate eligibility into Company 401(k) plan with 3.5% company match
  • Tuition Reimbursement program for degreed and non-degreed programs
  • 1:1 personalized Financial Planning Sessions
  • Student Debt Retirement Savings Match program
  • Free snacks and refreshments in each office location