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Full Time Data Engineering Jobs in Austin, TX (NOW HIRING)

Senior Data Scientist, Applied ML

Austin, TX · On-site +1

$154K - $200K/yr

You'll build the preprocessing and feature engineering pipelines your own models depend on, and you ... S.-Based Benefits + Perks (for Full Time Employees): At SpyCloud, we are committed to working ...

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Data Engineer

Austin, TX · On-site

$112K - $152K/yr

Data Engineer Employment Type: Full-Time, Mid-level Department: Business Intelligence CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business ...

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer Location ... Austin, TX - Fulltime Position Minimum Qualifications: * Expert level fluency with Snowflake, SQL ...

Snowflake Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Role: Sr. Snowflake Data Engineer/only W2 Location ... Austin, TX Onsite position Fulltime Position TCS/Apple JD: * Expert level fluency with Snowflake ...

The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ... work. Full time positions are eligible for a discretionary bonus and a comprehensive benefits ...

AWS Solutions Architect- AI/ML

Austin, TX · On-site

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... You will focus on cloud modernization, data engineering, and AI/ML integration to drive business ...

AWS Solutions Architect- AI/ML

Austin, TX · On-site

$64.25 - $84.25/hr

AWS Solutions Architect- AI/ML Employment Time: Full-Time This Is a fully remote position with ... You will focus on cloud modernization, data engineering, and AI/ML integration to drive business ...

Showing results 21-40

Full Time Data Engineering information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do full time data engineering jobs pay per year?

As of Aug 9, 2026, the average yearly pay for full time data engineering in Austin, TX is $128,576.00, 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.

What are the key skills and qualifications needed to thrive as a full time data engineer?

To thrive as a Full Time Data Engineer, you need strong programming skills (such as Python or Java), proficiency in SQL, and a solid understanding of data modeling and ETL processes, usually supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop or Spark), cloud platforms (such as AWS or Azure), and relevant certifications (e.g., Google Cloud Data Engineer) is highly valuable. Excellent problem-solving, communication, and teamwork abilities distinguish top performers in this role. These skills ensure efficient data infrastructure development, reliable data pipelines, and effective collaboration with cross-functional teams to support business objectives.

What is a full time data engineer?

Full time data engineering jobs involve building, managing, and optimizing data pipelines and infrastructure to collect, process, and store large volumes of data for organizations. Data engineers work with technologies like SQL, Python, cloud platforms, and big data tools to ensure data is reliable and accessible for analytics and business decision-making. These roles typically require strong programming skills, knowledge of database systems, and experience with data modeling and ETL (Extract, Transform, Load) processes. Full time positions generally offer benefits and require a standard workweek commitment, often in tech, finance, healthcare, or other data-driven industries.

What is the difference between Full Time Data Engineering vs Part Time Data Engineering?

AspectFull Time Data EngineeringPart Time Data Engineering
Work HoursTypically 40 hours/weekLess than 20 hours/week
CredentialsRelevant degrees, certifications like AWS, GCP, or AzureSame as full-time, but often less emphasis on certifications
Work EnvironmentFull-time employment, often in corporate or tech firmsFreelance or contract basis, flexible locations
Job ResponsibilitiesDesigning, building, maintaining data pipelinesSupporting existing pipelines, smaller projects

Full Time Data Engineering involves a standard 40-hour workweek with comprehensive responsibilities in designing and maintaining data systems. Part Time Data Engineering offers flexible hours, often focusing on specific tasks or projects. Both roles require relevant technical skills and certifications, but full-time positions typically demand more extensive experience and commitment.

What are some common challenges faced by full time data engineers, and how can they be addressed?

Full-time data engineers often encounter challenges such as integrating data from diverse sources, ensuring data quality, and optimizing data pipelines for scalability and performance. These issues can be addressed by adopting robust ETL (Extract, Transform, Load) frameworks, implementing automated data validation tests, and collaborating closely with data analysts and software engineers to align on data requirements. Staying updated with the latest cloud technologies and best practices in data architecture also helps in overcoming these challenges and maintaining efficient, reliable data systems.
What are the most commonly searched types of Data Engineering jobs in Austin, TX? The most popular types of Data Engineering jobs in Austin, TX are:
What cities near Austin, TX are hiring for Full Time Data Engineering jobs? Cities near Austin, TX with the most Full Time Data Engineering job openings:

Software Engineering Manager, Data Solutions & Initiatives

Apple

Austin, TX

$225K - $338K/yr

Full-time

Medical, Dental, Retirement

Re-posted 28 days ago


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

The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
We operate in a startup-like environment within Apple's Worldwide Sales organization, where Data Solutions & Initiatives (DSI) drives innovation through product design, engineering, and portfolio management for our internal Apple customers. We move quickly, experiment boldly, and expect our team members to take full ownership of what they deliver.
Description
We are seeking an experienced Software Engineering Manager to lead a high-performing, full-stack engineering team building the internal platforms, data systems, and increasingly AI-driven applications that power critical business decisions across Apple's global sales organization. In this senior leadership role, you will establish operational objectives, drive technical strategy, and deliver high-quality, scalable solutions across a complex and fast-moving environment. You will manage a blended team of full-time engineers and variable workforce - including tech leads who provide functional oversight within their areas - while regularly engaging with senior and executive leadership across multiple functional areas. Your decisions will directly shape the pace and direction of our technology roadmap, and your ability to influence across teams and organizations will be as important as your technical depth.","responsibilities":"Establish operational objectives, work plans, and delivery milestones across multiple engineering sections; delegate execution to tech leads and senior engineers while maintaining full accountability for outcomes
Define and implement engineering policies, standards, and practices that govern your teams and may have broader effect across related organizations
Drive end-to-end technical strategy and execution across multiple concurrent initiatives, ensuring alignment with organizational priorities and long-term platform goals
Own and manage headcount, budget, and resource plans across your team - including both FTE and variable workforce engagements - ensuring adherence to schedules, cost, and performance requirements
Conduct and contribute to architecture and design reviews, setting the technical bar for quality, scalability, observability, and security
Regularly engage with senior management and executive stakeholders across multiple functional areas and divisions - communicating progress, risks, and strategic direction with clarity and confidence
Navigate complex cross-functional situations with the ability to change perspectives and gain alignment without damaging relationships
Actively recruit, hire, mentor, and grow engineers at all levels - building a culture of ownership, curiosity, and inclusion
Collaborate cross-functionally with product, design, data science, and business stakeholders to translate requirements into robust engineering plans
Champion engineering best practices including CI/CD, test automation, code review standards, and operational readiness
Evaluate and integrate AI-powered tools and approaches to accelerate developer productivity, improve code quality, and enhance the platforms your teams deliver
Partner with peer engineering managers and senior leadership to align technical investments, manage dependencies, and drive platform-wide consistency
Preferred Qualifications
Experience building or managing internal tooling, business platforms, or enterprise-grade applications at scale
Familiarity with cloud-native architecture and modern infrastructure practices (e.g., Kubernetes, containerization, observability stacks, cloud platforms)
Background in data engineering or managing teams building data pipelines, analytics platforms, or reporting infrastructure
Experience working in a high-growth or startup-like environment within a large enterprise organization
Experience building or integrating AI/ML-powered features into production applications (e.g., predictive analytics, intelligent automation, LLM-based tooling)
Track record of leading platform modernization efforts - such as service migrations, API standardization, or developer experience improvements
Experience developing or influencing engineering policies and operational standards with broad organizational impact
Demonstrated ability to influence technical direction and build alignment across peer engineering teams and divisions without formal authority
Passion for building inclusive engineering culture, cultivating psychological safety, and investing in the development of every team member
Minimum Qualifications
12+ years of professional software engineering experience, with hands-on expertise across full-stack development (frontend, backend, and data layers)
4+ years of engineering management experience, with demonstrated success leading and growing teams of 8 or more engineers across multiple workstreams or functional areas
Track record of leading your team's adoption of AI-assisted development practices - setting clear standards for when and how to leverage AI effectively while maintaining engineering rigor
Experience owning and managing team budgets, headcount plans, and resource allocation across both FTE and variable/contractor workforce
Proven track record of establishing operational objectives, setting performance expectations, and holding teams accountable to schedules and quality standards
Deep, practical knowledge of distributed systems design, RESTful APIs, and service-oriented architectures
Experience with relational and NoSQL databases (e.g., PostgreSQL or equivalent)
Strong proficiency in at least two modern programming languages (e.g., Python, JavaScript/TypeScript, Go or equivalent)
Track record of delivering high-quality software in an agile environment using CI/CD, automated testing, and source code management best practices
Demonstrated ability to engage regularly with senior and executive leadership - translating technical strategy into business impact and navigating sensitive cross-functional situations with diplomacy and poise
Experience collaborating with multi-functional teams across product, design, data, and business stakeholders
Bachelor's degree in Computer Science, Computer Engineering or a related technical field, or equivalent practical experience
Pay & Benefits
At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $225,600 and $338,400, and your base pay will depend on your skills, qualifications, experience, and location.
Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

What Apple employees say

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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