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Staff Data Engineer Jobs in Texas (NOW HIRING)

Apple, Inc.

Staff Data Engineer

Austin, TX · On-site

Description We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against ...

New

Apple

Staff Data Engineer

Austin, TX · On-site

Description We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against ...

Apple

Staff Data Engineer

Austin, TX

$175K - $308K/yr

Description We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against ...

Apple

Staff Data Engineer

Austin, TX

$175K - $308K/yr

Description We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against ...

Self Financial

Staff Data Engineer

Austin, TX

$160K - $195K/yr

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates ...

MissionWired

Staff Data Engineer

Leander, TX · On-site +1

$150K/yr

We are looking for a Staff Data Engineer to transform millions of data points into unparalleled opportunities - supporting everything from electing Democrats to combating climate change throughout ...

Realtor.com Careers

Staff Data Engineer

Austin, TX · On-site

We have an exciting and unique opportunity for a motivated and energetic Staff Data Engineer to join the Realtor.com Data team. In this position, you will enable optimal data-driven decisions that ...

Realtor.com Careers

Staff Data Engineer

Austin, TX · On-site

We have an exciting and unique opportunity for a motivated and energetic Staff Data Engineer to join the Realtor.com Data team. In this position, you will enable optimal data-driven decisions that ...

Realtor.com Careers

Staff Data Engineer

Austin, TX · On-site

$113K - $136K/yr

We have an exciting and unique opportunity for a motivated and energetic Staff Data Engineer to join the Realtor.com Data team. In this position, you will enable optimal data-driven decisions that ...

Self Financial

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and making a direct impact on our mission. We want you to provide technical leadership to your teammates ...

HEB

Staff Data Engineer-AI Platform

Austin, TX

$113K - $136K/yr

As a Staff Data Engineer, you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and Analytics ...

HEB

Staff Data Engineer-AI Platform

Austin, TX · On-site

$144K/yr

As a Staff Data Engineer, you'll lead, coach, and mentor engineers and teams and provide technical direction and support. You'll collaborate with Product, Data Science, Application, and Analytics ...

Uber Freight

Staff Data Architect

Frisco, TX · Hybrid

Salary Req #: 3143 About the Role We are seeking a highly experienced Staff Data Products Engineer ... This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud ...

Socket.dev

Staff Data Architect

Frisco, TX · On-site

$150 - $230/hr

This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud Platform (GCP) , and modern data management principles to enable data-driven decision making and AI ...

Uber Freight

Staff Data Architect

Frisco, TX · On-site

Salary Req #: 3143 About the Role We are seeking a highly experienced Staff Data Products Engineer ... This role combines deep expertise in Data Product Engineering , Data Architecture , Google Cloud ...

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Showing results 1-20

All JobsStaff Data Engineer JobsStaff Data Engineer Jobs in Texas

Staff Data Engineer information

See Texas salary details

$21.4K

$92.5K

$179.3K

How much do staff data engineer jobs pay per year?

As of Aug 18, 2026, the average yearly pay for staff data engineer in Texas is $92,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,300.00 and $116,500.00 per year, depending on experience, location, and employer.

What is a staff data engineer?

Staff Data Engineers are senior-level professionals responsible for designing, building, and maintaining large-scale data processing systems and architectures. They often lead technical initiatives, set data engineering standards, and mentor other engineers within a company. Staff Data Engineers work closely with data scientists, analysts, and other stakeholders to ensure reliable and efficient data pipelines. Their role requires deep expertise in data modeling, ETL processes, distributed systems, and cloud technologies. They play a crucial part in enabling organizations to make data-driven decisions at scale.

How does a staff data engineer typically collaborate with cross-functional teams to deliver data-driven solutions?

As a Staff Data Engineer, you’ll frequently partner with data scientists, analysts, and product managers to understand project requirements and design scalable data systems. You'll be responsible for translating business needs into technical specifications, recommending best practices, and mentoring junior engineers. Collaboration often involves participating in sprint planning, code reviews, and architecture discussions to ensure data solutions are robust, secure, and aligned with organizational goals. Effective communication and a proactive approach to problem-solving are key to successful collaboration in this role.

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

To thrive as a Staff Data Engineer, you need advanced proficiency in data architecture, programming (such as Python, Java, or Scala), and experience with large-scale data systems, supported by a bachelor's or master's degree in computer science or a related field. Familiarity with big data tools (Hadoop, Spark), cloud platforms (AWS, GCP, or Azure), and relevant certifications like Google Professional Data Engineer or AWS Data Analytics are typically required. Strong problem-solving abilities, effective communication, and leadership skills help drive cross-functional projects and mentor junior engineers. These skills ensure the design, implementation, and maintenance of robust data infrastructure that supports organizational decision-making and scalability.

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

AspectStaff Data EngineerData Engineer
Required CredentialsBachelor's or Master's in CS, experience with big data toolsBachelor's in CS or related field, some experience with data pipelines
Work EnvironmentSenior-level, cross-team collaboration, leadership rolesEntry to mid-level, focused on building data pipelines
Employer & Industry UsageTech companies, large enterprises, data-driven organizationsStartups, small to medium enterprises, tech firms

The main difference is that a Staff Data Engineer typically has more experience, leadership responsibilities, and works on complex projects across teams, whereas a Data Engineer focuses on developing and maintaining data pipelines at an operational level.

What are popular job titles related to Staff Data Engineer jobs in Texas?

For Staff Data Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Staff Data Engineer jobs in Texas look for?

The top searched job categories for Staff Data Engineer jobs in Texas are:

What cities in Texas are hiring for Staff Data Engineer jobs?

Cities in Texas with the most Staff Data Engineer job openings:

Staff Data Engineer jobs near you
Infographic showing various Staff Data Engineer job openings in Texas as of August 2026, with employment types broken down into 2% As Needed, 79% Full Time, 14% Part Time, 1% Temporary, and 4% Contract. Highlights an 96% Physical, 2% Hybrid, and 2% Remote job distribution, with an average salary of $92,541 per year, or $44.5 per hour.

Staff Data Engineer

Apple, Inc.

Austin, TX • On-site

Other

Posted 2 days ago

New

Apple rating

8.0

Company rating: 8.0 out of 10

Based on 677 frontline employees who took The Breakroom Quiz

7th of 30 rated technology retailers

Job description

We are the Risk and Vulnerability Management (RVM) team in Apple Services Engineering (ASE) Security. We manage security risk for the infrastructure, platforms, and services behind iCloud, App Store, Apple Music, TV+, and Commerce. Findings reach us from scanners, red team engagements, design reviews, vendor advisories, threat intelligence, and bug bounty. Our job is to turn all of that into one prioritized backlog engineering teams can work from, and a posture picture leadership can trust.
Most of that job is data work. Signal arrives from dozens of systems at different quality and age, and it rarely says which asset, which service, or who owns it, so someone pieces that together by hand before anyone can act on it. That manual step sets the ceiling on how fast we identify and triage risk, and on how fast our partners can fix it. We are consolidating this onto one security data platform: a system of record for findings, a graph for ownership and blast radius, and a lakehouse for posture metrics and analytics.
Description
We are looking for a Staff Data Engineer to lead the data engineering and data architecture behind it. You will own the data model and the pipeline contracts other teams build against, move pipelines from prototype into production the business depends on, and make ownership attribution and risk enrichment a service instead of repeated one-off work. Success here takes deep distributed data engineering experience, real data judgment, and the ability to hold a technical direction across a large, matrixed engineering organization.
Minimum Qualifications
15+ years of experience working with Spark and other distributed data technologies (e.g. Hadoop, Presto, Flink, Druid) for building efficient & large scale data pipelines
Highly proficient in at least one of Java, Python or Scala
Deep expertise in Data Principles, Data Architecture & Data Modeling, Strong SQL skills
Strong problem solver with meticulous attention to detail, capable of taking on loosely defined problems
Experience working in a complex, matrixed organization involving cross-functional, and/or cross-business projects
Strong communication and collaboration skills & ability to lead high-level discussions on technology strategy and approach
Conceptually familiar with AWS cloud resources (S3, EC2, RDS etc)
Conceptually familiar with OSI model and understanding of how network works (Load Balancer, Routers, network tagging, NetFlow)
Conceptually familiar of the full technology stack (from BMCs, Firmware, to OS layer, to containers and applications) primitives
Preferred Qualifications
Experience with Cloud Computing platforms like Amazon AWS, Google Cloud
Experience with building stream-processing applications using Apache Flink, Spark-Streaming, Apache Storm, Kafka Streams or others
Experience with Search systems (such as ElasticSearch, Solr), NoSQL datastores (such as HBase, Cassandra, MongoDB)
Experience building distributed, high-volume data services is a plus

What Apple employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apple logo

About Apple

Sourced by ZipRecruiter

Imagine what you could do here! At Apple, new ideas have a way of becoming extraordinary products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. Dynamic, intelligent people and inspiring, innovative technologies are the norm here. The people who work here have reinvented entire industries with all Apple Hardware products. The same real passion for innovation that goes into our products also applies to our practices strengthening our dedication to leave the world better than we found it.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Cupertino, CA, US

Year founded

1976

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