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Data Analytics Engineer Jobs in Austin, TX (NOW HIRING)

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 ...

Senior Data Engineer

Austin, TX ยท On-site

$105K - $142K/yr

Build data products that boost productivity for engineers, analysts, and data scientists * Engineer high-quality features for modeling in close collaboration with data scientists and business ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Data Science and Analytics team leadership. Manage data analysts delivering dashboards, recurring reports, and ad-hoc analysis. Establish consistent standards for data science and analytics ...

Senior Data Engineer - People Technology

Austin, TX ยท 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 ...

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Manager & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies ...

Partner with Customer Data Engineers to ensure the data required for analytics is available, correctly mapped, and fit for purpose. * Debug data and analysis issues with composure - triaging problems ...

Showing results 21-40

Data Analytics Engineer information

See Austin, TX salary details

$44.1K

$128.5K

$175.9K

How much do data analytics engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for data analytics engineer in Austin, TX is $128,545.00, according to ZipRecruiter salary data. Most workers in this role earn between $113,500.00 and $136,300.00 per year, depending on experience, location, and employer.

How do data analytics engineers typically collaborate with data scientists and business stakeholders on projects?

Data Analytics Engineers play a crucial role in bridging the gap between raw data and actionable insights by building, optimizing, and maintaining data pipelines. They often work closely with data scientists to ensure data is clean, accessible, and structured for advanced analytics or machine learning models. Additionally, they collaborate with business stakeholders to understand reporting requirements and ensure that data solutions align with organizational objectives. Regular communication and cross-functional teamwork are essential aspects of this role, as engineers must translate business needs into technical specifications and deliver reliable data products.

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

To thrive as a Data Analytics Engineer, you need strong proficiency in data modeling, SQL, and statistical analysis, typically supported by a degree in computer science, statistics, or a related field. Familiarity with tools such as Python, R, Apache Spark, Tableau, and cloud data platforms like AWS or Google BigQuery is essential, along with relevant certifications. Excellent problem-solving, communication, and collaboration skills help you translate data insights into actionable business solutions. These skills and qualities are crucial for designing robust data pipelines and enabling data-driven decision-making across organizations.

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

AspectData Analytics EngineerData Scientist
CredentialsBachelor's or master's in CS, Data Science, or related fields; certifications like Google Data AnalyticsBachelor's or master's in CS, Statistics, or related fields; certifications like Certified Data Scientist
Work EnvironmentFocus on building data pipelines, dashboards, and analytics toolsFocus on statistical modeling, machine learning, and data exploration
Employer & Industry UsageUsed across tech, finance, healthcare for data infrastructure and analyticsCommon in research, product development, and advanced analytics teams

While both roles work with data, Data Analytics Engineers primarily develop data infrastructure and tools for analysis, whereas Data Scientists focus on statistical modeling and machine learning to generate insights. They often collaborate but have distinct technical focuses.

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 job categories do people searching Data Analytics Engineer jobs in Austin, TX look for? The top searched job categories for Data Analytics Engineer jobs in Austin, TX are:
What cities near Austin, TX are hiring for Data Analytics Engineer jobs? Cities near Austin, TX with the most Data Analytics Engineer job openings:
Infographic showing various Data Analytics Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 88% Physical, 3% Hybrid, and 9% Remote job distribution, with an average salary of $128,545 per year, or $61.8 per hour.

Director, Market Data & Analytics

Cybersecurity Marketing Society

Austin, TX โ€ข On-site

$120 - $180/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 5 days ago


Job description

TrendAIโ„ข, the global AI security leader and enterprise business unit of Trend Micro, empowers organizations with full AI visibility and consolidated security that inspires confidence, drives innovation, and eliminates risk.

At TrendAIโ„ข, weโ€™re always seeking exceptional talent; people who want to collaborate with the best and push boundaries together. Here, your work goes beyond building a career. You will help protect what matters and play a vital role in shaping a safer, more trustworthy AI-powered future.

AI Fearlessly.

Role Summary

As Market Influence scales, TrendAI is building a dedicated data-and-analytics foundation for the function โ€” the layer that measures performance across every channel, brings that measurement in-house, and makes it available on demand to the teams that need it. This role owns that foundation.

The Data & Analytics Lead defines and operates Market Influence's core metrics, owns the measurement tooling and the data warehouse behind them, and distributes MI intelligence across the org via TrendIQ. Initially, this role also leads AEO/GEO measurement โ€” how TrendAI shows up in AI answer engines.

Responsibilities Own the measurement layer
  • Define and operate the core MI metrics with rigorous, transparent, in-house methodology that leadership can trust and query any time
  • Build cross-pod performance reporting (PR, social, influencer, podcast, customer excellence) and connect it to campaigns and market themes
  • Stand up per-asset attribution so the function can show what converted
Own the tooling & warehouse
  • Administer the measurement stack, including onboarding, dashboards, and live MCP access
  • Build and maintain the MI Databricks data warehouse
  • Collaborate with the web team on AEO/GEO optimization
Distribute the data
  • Pipe MI intelligence back out through TrendIQ so other teams (e.g. sellers preparing for a meeting) get relevant, timely context
  • Partner with Marketing Ops on data-ownership boundaries โ€” co-own or share where sensible; build what doesn't exist yet
  • Support the competitiveโ€‘intelligence / digitalโ€‘footprint feeds (job-board, repo, financial, analyst signals) with the CI team
Qualifications Required
  • 6+ years in marketing analytics, marketing/revenue operations, or data analytics, including ownership of measurement for a marketing or comms function
  • Handsโ€‘on with marketingโ€‘measurement platforms (media monitoring / SOV / social analytics); comfortable owning tool administration and methodology
  • Working fluency with a modern data stack (e.g. Databricks or equivalent) and with connecting disparate sources into shared reporting
  • Strong communicator who turns data into a clear story for senior leaders
  • High AI fluency; comfortable with MCP/agentic tooling
Preferred
  • B2B tech / cybersecurity; understands the CISO/security audience and competitive set
  • Familiarity with AEO/GEO measurement and SEO/SEM fundamentals
  • Experience partnering with a Marketing Ops / BI function on data ownership
  • SQL / analytics-engineering fluency; dashboarding
What We Offer You:

You're important to us. What matters to you, matters to us too. Trend Micro provides benefit options for you and your family.

  • Comprehensive medical, dental and vision insurance
  • Life insurance
  • Short & Long Term Disability
  • Pre-partum, maternity, parental and medical leave
  • Mental Health Wellness Program
  • Adoption Assistance
  • Wellness Incentive
  • Pet Insurance
  • 401(k) with company match
  • Paid Time Off
  • 14 Annual Holidays
  • Tuition Assistance
  • Employee Resource Groups

We offer competitive compensation with bonus opportunity tied to company performance, along with room to enhance your skills through ongoing learning and broad technological opportunities. Achieving workโ€‘life balance is a priority, complemented by team activities, fostering an environment rooted in equity, inclusion, and collaboration, that is reflected in both our culture and our work.

Be Passionate. Be Innovative. Be a Trender.

This position does not offer sponsorship for work permit applications or renewals, either now or in the future. Candidates must be authorized to work in the U.S. without the need for employment-based visa sponsorship, both currently and moving forward. The company will not sponsor applicants for U.S. work visa status for this role (including, but not limited to, H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT, or any other employment-based visa).

At Trend Micro, we embrace change, empower people, and encourage innovation in a connected world. Our diversity and multicultural workforce are key contributing factors to our success across the globe. Trend Micro provides equal employment opportunity for all applicants and employees. Trend Micro does not unlawfully discriminate on the basis of race, color, religion, sex, pregnancy and childbirth or related medical conditions, national origin, ancestry, age, physical or mental disability, medical condition, family care leave status, veteran status, marital status, sexual orientation, or gender identity.

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