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

Olix Computing

Infrastructure Engineer

Austin, TX · On-site

£88K/yr

Rack-scale co-design of logic, data movement, packaging, optics and interconnect enables a step change in system level performance. The Role We're hiring a senior infrastructure engineer to own the ...

Hired Recruiters

Senior Infrastructure Engineer

Austin, TX · On-site +1

$100K - $150K/yr

We empower consumers to gain value and convenience from their own data, and we enable businesses to ... As the first Infrastructure Engineer at an early-stage startup, the work that you do will have a ...

Ci

Senior Infrastructure Engineer

Austin, TX

$107K - $146K/yr

Partner with engineering teams to deploy and operate cloud-native services. Infrastructure ... Monitor infrastructure recovery readiness and data protection controls. * Assist in ensuring ...

New

Fluidstack

Security Engineer, Infrastructure

Austin, TX · On-site

$141K/yr

Fluidstack is focused on building civilization-scale infrastructure for AI. They are seeking a ... SIEM and data-warehouse architecture, data ingestion and enrichment, and security tool engineering ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX · On-site

$113K - $136K/yr

Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

Amazon

Data Engineer II, OTS - Data ANCHOR Team

Austin, TX

$113K - $136K/yr

Our team provides critical data infrastructure support for OpsTech IT, supporting Amazon's global ... As a Data Engineer, you will build and maintain scalable data pipelines and AI/ML-ready data ...

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Showing results 1-20

All JobsData Infrastructure Engineer JobsData Infrastructure Engineer Jobs in Austin, TX

Data Infrastructure Engineer information

See Austin, TX salary details

$46.1K

$125.9K

$180.4K

How much do data infrastructure engineer jobs pay per year?

As of Jul 19, 2026, the average yearly pay for data infrastructure engineer in Austin, TX is $125,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $106,500.00 and $139,700.00 per year, depending on experience, location, and employer.

What is a Data Infrastructure Engineer?

A Data Infrastructure Engineer is a professional who designs, builds, and maintains the systems and architecture that store, process, and manage large volumes of data for organizations. They focus on creating scalable and reliable data pipelines, ensuring data is accessible and secure, and integrating data from various sources. Their work enables data scientists, analysts, and other stakeholders to efficiently use data for decision-making and analytics. Data Infrastructure Engineers often work with tools like Hadoop, Spark, and cloud platforms, and play a critical role in supporting modern data-driven businesses.

What are the key skills and qualifications needed to thrive as a Data Infrastructure Engineer, and why are they important?

To thrive as a Data Infrastructure Engineer, you need a solid background in computer science, experience with database management, and expertise in building and optimizing data pipelines, often supported by a relevant degree. Familiarity with tools and platforms like Hadoop, Spark, SQL, cloud services (AWS, Azure, GCP), and containerization technologies such as Docker and Kubernetes is typically required, alongside certifications in cloud or database technologies. Strong problem-solving skills, attention to detail, and effective communication help you collaborate with cross-functional teams and resolve complex technical challenges. These skills and qualities are crucial for ensuring reliable, scalable, and efficient data systems that support business analytics and decision-making.

What are some typical challenges Data Infrastructure Engineers face when scaling systems to handle increased data volume?

Data Infrastructure Engineers often encounter challenges such as ensuring data pipelines remain reliable and performant as data volume grows. This includes optimizing storage solutions, managing distributed systems, and automating data ingestion and transformation processes. Collaborating closely with data scientists and analysts is key to understanding evolving data requirements and proactively addressing potential bottlenecks. Staying updated with the latest tools and best practices helps engineers build scalable, fault-tolerant infrastructure that supports organizational growth.

What is the difference between Data Infrastructure Engineer vs Data Engineer?

AspectData Infrastructure EngineerData Engineer
Primary FocusBuilding and maintaining data infrastructure, pipelines, and storage systemsDesigning, developing, and optimizing data pipelines and models
Skills & CertificationsCloud platforms, data storage, ETL tools, scriptingSQL, Python, Spark, Hadoop, data modeling
Work EnvironmentData teams, infrastructure teams, cloud environmentsData teams, analytics teams, software engineering
Industry UsageTech, finance, healthcare, any data-driven industryTech, finance, retail, analytics-focused companies

While both roles involve working with data pipelines, Data Infrastructure Engineers focus on building and maintaining the underlying data systems and infrastructure, ensuring data availability and reliability. Data Engineers primarily develop and optimize data pipelines and models for analysis and machine learning. Both roles often collaborate but serve different aspects of data management.

What are popular job titles related to Data Infrastructure Engineer jobs in Austin, TX? For Data Infrastructure Engineer jobs in Austin, TX, the most frequently searched job titles are:
What job categories do people searching Data Infrastructure Engineer jobs in Austin, TX look for? The top searched job categories for Data Infrastructure Engineer jobs in Austin, TX are:
Data Infrastructure Engineer jobs near you
Infographic showing various Data Infrastructure Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 16% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $125,919 per year, or $60.5 per hour.

Software Engineer, Analytics & Data Infrastructure

Base Power Company

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 9 days ago

Job description

Job Summary:
Base Power Company is America’s next-generation power company, focused on transforming the electricity grid with distributed batteries. The Software Engineer on the Data Infrastructure team will design and maintain backend systems and data pipelines that support the company's data needs, ensuring data quality and accessibility for various teams.
Responsibilities:
• Build and maintain the core backend systems that ingest, transform, and serve data across the company -- from raw telemetry and operational events to clean, queryable datasets used in dashboards, models, and APIs.
• Design, build, and operate reliable batch and streaming data pipelines with a focus on correctness, performance, and scalability. Own ETL processes end-to-end, from source system integration through to production delivery.
• Build foundational schemas and canonical datasets that store high-volume time-series and event data in a way that stays searchable, performant, and scalable. Own core data models used across the company for analytics, reporting, and decision-making.
• Manage ingestion across a wide range of data sources -- IoT telemetry, third-party APIs, operational systems, and internal services -- and build the infrastructure to synchronize and join them reliably.
• Build and maintain platforms that let cross-functional teams query, explore, and visualize data without needing to understand the underlying infrastructure.
• Ensure source-of-truth datasets are consistent, documented, and trustworthy. Improve observability so teams can use data with confidence.
• Help define and evolve our data architecture, tooling, and best practices as we scale. You'll have real input into how we build -- not just what we build.
Qualifications:
Required:
• 5+ years in data engineering or backend engineering with a strong data focus
• Deep experience building data infrastructure -- data warehouses, data lakes, streaming systems, or similar (e.g., BigQuery, Snowflake, Redshift, Databricks)
• Strong coding skills in Python and SQL
• Comfortable building and maintaining production pipelines using modern orchestration frameworks (e.g., Airflow, Prefect, dbt)
• Experience integrating diverse data sources -- APIs, event streams, relational databases, flat files
• Deep care about data quality, schema design, and building systems others can trust and extend
• Familiarity with cloud infrastructure and infrastructure-as-code (e.g., GCP or AWS, Terraform)
• Comfortable working in fast-moving environments with evolving requirements -- you write simple, reliable systems that solve real problems, not over-engineered ones
Preferred:
• Experience with Go or another compiled language is a plus
Company:
Base is building the future of American power. The grid is the largest, most complex machine in the world. Founded in 2023, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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