UNKNOWN

FEED

Their IT and PLM consulting offerings include; Advisory, PLM Software/Services, Program Management, Solution Architecture Training/Staffing, Cloud Solutions, Servers/Networking, Infrastructure, ERP Practices and QA Services. Engineering services include Data Translation, CAD/CAM/CAE, Process & Product Engineering, Prototyping, and Testing/Validation within a wide range of markets and industries.

PROLIM Global Corporation

Snowflake Data Engineer

Our client in Austin, Texas is seeking a Senior Data Engineer to join their team for high-impact upcoming projects. This company has proven its staying power throughout its many successful years in business and their remarkable growth rates show no signs of slowing down anytime soon.

Founded in 1999, Technology Navigators is an Austin born and based high-tech recruiting and staffing firm that has experienced and professional recruiters who know the people you need to know to grow! We place high value on our relationships so candidates can feel confident that our staff of professionals will keep in close contact with you throughout your search and beyond. Technology Navigators values our candidates&rsquo; unique talents, skills and experiences and strive to showcase their best qualities to our clients.

Technology Navigators, Inc.

Senior Data Engineer - Azure, DataBricks, Python

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FULL_TIME

Design and build large-scale data pipelines for ingestion, transformation and processing. Hands-on experience building and maintaining ML pipelines in production environments.

Eitacies Inc

Senior Python Developer / Data Engineer / ML Pipelines

As a Production Support Data Engineer supporting Schwab's cloud data and analytics ecosystem, you will lead the operational support of enterprise data platforms, large-scale batch workloads, and business-critical data applications. You will drive production readiness, releases, incident resolution, and operational change, collaborating across data engineering, platform, business, and external teams to strengthen data availability and service reliability.

The Charles Schwab Corporation is a leading provider of financial services, with more than 300 offices. Through its operating subsidiaries, the company provides a full range of securities brokerage, banking, money management and financial advisory services to individual investors and independent investment advisors. Named "Highest in Investor Satisfaction with Self-Directed Services" by J.D. Power and Associates in 2009, its broker-dealer subsidiary, Charles Schwab & Co., Inc. (member <a href="http://www.sipc.org/" target="_blank">SIPC</a>) affiliates offer a complete range of investment services and products including an extensive selection of mutual funds; financial planning and investment advice; retirement plan and equity compensation plan services; referrals to independent fee-based investment advisors; and custodial, operational and trading support for independent, fee-based investment advisors through Schwab Advisor Services. The Charles Schwab Bank (member FDIC) provides banking and mortgage services and products. To meet the needs of our clients, we are actively recruiting people with the desire, drive and creativity to find solutions that help meet our clients' needs; who want the chance to learn, grow with the company and explore their career opportunities; who will strive for excellence in achieving our clients' and our company's goals; who have the highest ethical standards - individuals who take pride in making a difference in people's lives.

The Charles Schwab Corp

Production Support Data Engineer

We are seeking an experienced Cost Allocation Data Engineer to design and develop data models and allocation frameworks that support cloud cost attribution, showback, and chargeback capabilities. The ideal candidate will have strong data engineering expertise, advanced SQL skills, dimensional modeling experience, and a solid understanding of FinOps methodologies and financial accounting concepts.

The Brixton Group, Inc.

Cost Allocation Data Engineer

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Our team owns the entire stack: firmware that controls batteries in thousands of homes, trading algorithms that buy and sell power in real-time markets, distributed commanding systems that orchestrate a growing fleet as a single grid asset, factory software for our Austin manufacturing line, and the product experience that makes it all invisible to homeowners. Backend data systems: 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.

Base Power Company

Data Engineer

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Benefit options include medical, dental, vision, Health Savings Account, Flexible Spending Accounts, retirement savings plan, sickness and accident benefits, life insurance, paid vacation & holidays, tuition assistance programs, employee assistance program, GM vehicle discounts and more. This person will design, train, validate, and deploy models, and will design and operate the ETL/ELT pipelines, feature data, and governed Bronze, Silver, and Gold products those models run on.

YEAR

General Motors Co

Senior Data Engineer

However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information. Technical Leadership: Design, architect, and deliver production-grade, scalable data pipelines and AI-ready data platforms using Databricks, AWS cloud-native services and modern data engineering frameworks.

The University of Texas at Austin

Lead Data Engineer

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Experience with Python, AI, and Large Language Model (LLM) integrations. Dimensional Data Modelling, i.e., Slowly Changing Dimensions.

HOUR

Artech LLC

Data Engineer Python, AI & LLM

Analyzes user requirements, procedures, and problems to automate processing or to improve existing computer system: Confers with personnel of organizational units involved to analyze current operational procedures, identify problems, and learn specific input and output requirements, such as forms of data input, how data is to be; summarized, and formats for reports. Experience with Delta Lake, medallion architecture (bronze/silver/gold layers), data lakehouse design, and creating and scheduling offline jobs using Lakeflow Jobs (formerly Databricks Workflows) or similar orchestration tools (e.g., Airflow).

Data Engineer/ Systems Analyst - Databricks

As a Data Engineer on the Starlink Enterprise team, you will improve the quality of data flowing into our commercial systems and build the integrations and AI agents that turn that cleaner data into better decisions and faster execution - from pipeline generation through closed revenue and ongoing enablement. RESPONSIBILITIES: Improve data hygiene and quality across go-to-market systems - identify bad, missing, duplicate, and stale records; implement validation, enrichment, and remediation so higher-quality data enters our system of record, opportunity, partner/reseller, and enablement workflows.

Space Exploration Technologies Corp

Data Engineer Starlink

The candidate will be responsible for developing and maintaining scalable data pipelines, designing high-performance data architectures, optimizing data platforms, and delivering reliable data solutions for business and analytics needs. The ideal candidate will have extensive hands-on experience in ETL/ELT, Snowflake, Tableau, data pipeline development, data architecture, and data modeling.

In this role, you will: Partner across engineering organizations to spearhead and execute high-impact, company-wide initiatives, Mentor and upskill junior engineers, fostering a culture of technical excellence and continuous growth. Develop, launch, and optimize highly efficient, reliable ELT/ETL pipelines capable of processing both large-scale and specialized datasets.

Atlassian Corp

Data Engineer/ Systems Analyst- Databricks

All resumes submitted by search firms to any employee at Virgin Voyages via-email, the Internet or in any form and/or method without a valid written Statement of Work in place for this position from Virgin Voyages HR/Recruitment will be deemed the sole property of Virgin Voyages. You will use tools like Claude Code, Cursor, and Codex every day, and you know how to pair them with solid engineering discipline: version control, code review, automated testing, CI/CD, and observability.

Virgin Cruises Intermediate Ltd

Sr. Data Engineer

CGS is seeking a passionate and driven Data Engineer to support a rapidly growing Data Analytics and Business Intelligence platform focused on providing solutions that empower our federal customers with the tools and capabilities needed to turn data into actionable insights. Achieve technical excellence by advocating for and adhering to lean-agile engineering principles and practices such as API-first design, simple design, continuous integration, version control, and automated testing.

CONTACT GOVERNMENT SERVICES

You'll work alongside a senior data engineer and collaborate across a small, high-output team to shape the data layer behind our product, ScreenSolve. Strong sense for data architecture — you can look at a set of requirements and reason about how data should be modeled, where it should live, and how schemas should be designed for clarity and reuse.

Cross Screen Media

Data Engineer (Remote)

You will work at the intersection of large scale data processing and real world operational impact, creating intelligence that directly influences how Amazon fulfills millions of orders across fulfillment centers, Amazon Fresh, Prime Now, Lockers, Pantry, Amazon Campus, and other operational environments. You will design high performance data pipelines, create trusted data products, and work with Solution Architects, Data Engineers, Applied Scientists, and Business Intelligence Engineers to turn complex operational data into intelligence that can be used by both people and AI systems.

At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life. 
Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet. 
It’s Always Day 1 
At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter <a href="https://hiring.amazon.com/why-amazon/culture#/">here</a> 
Our Leadership Principles 
Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit <a href="https://www.amazon.jobs/principles" target="_blank">https://www.amazon.jobs/principles</a>

Amazon.com Inc

Data Engineer II, OpsTech Team, OTS Anchor Team

This role requires strong hands-on experience building and operating data pipelines on Google Cloud Platform. Experience implementing data quality checks (schema validation, row count checks, anomaly detection).

Sr GCP Data Engineer

Lead the data engineering efforts across projects, collaborating closely with analysts, data scientists, and software engineers. Hands-on experience with relational databases (PostgreSQL, MySQL, etc.) and data warehouses (Snowflake, BigQuery, Redshift).

Data Engineer Jobs in Austin, TX

Snowflake Data Engineer PROLIM Global Corporation

Senior Data Engineer - Azure, DataBricks, Python Technology Navigators, Inc.

Senior Python Developer / Data Engineer / ML Pipelines Eitacies Inc

Production Support Data Engineer The Charles Schwab Corp

Cost Allocation Data Engineer The Brixton Group, Inc.

Data Engineer Base Power Company

Senior Data Engineer General Motors Co

Lead Data Engineer The University of Texas at Austin

Data Engineer Python, AI & LLM Artech LLC

Data Engineer/ Systems Analyst - Databricks PROLIM Global Corporation

Data Engineer Starlink Space Exploration Technologies Corp

Data Engineer PROLIM Global Corporation

Senior Data Engineer Atlassian Corp

Data Engineer/ Systems Analyst- Databricks PROLIM Global Corporation

Sr. Data Engineer Virgin Cruises Intermediate Ltd

Data Engineer CONTACT GOVERNMENT SERVICES

Data Engineer (Remote) Cross Screen Media

Data Engineer II, OpsTech Team, OTS Anchor Team Amazon.com Inc

Sr GCP Data Engineer Eitacies Inc

Data Engineer Artech LLC

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