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Contract Graduate Data Engineer Jobs in Austin, TX

PBK

Data Engineer

Austin, TX

$113K - $136K/yr

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated ... Build and support API-first data services, data contracts, and integration workflows using REST ...

Arbor

Data Engineer

Austin, TX · Remote

$117K - $140K/yr

... data contracts and schema standards that make our Snowflake environment trustworthy as we scale ... What You Bring 3-6+ years of experience in a data engineering or analytics engineering role ...

Virtasant

Senior Data Engineer, Data Platform

Austin, TX · On-site +1

$113K - $136K/yr

Develop tooling for schema evolution , data contracts, and developer self-service * Deep experience with streaming, distributed compute, or S3-based table formats (Spark, Kafka, Iceberg/Delta/Hudi)

Infobahn SoftWorld Inc

Data Engineer @ AUSTIN,TX

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Austin, TX 12+ Months Contract lOOKING FOR INDEPENDENT VISA HOLDERS WHO CAN WORK ON W2; NO SUB-VENDORS ; NO C2C; NO 1099 Position Summary We are seeking a Software Engineer (Data ...

Reup Education

Data Engineer II

Austin, TX · On-site

$115K - $125K/yr

To date, ReUp Education has helped 7,960 learners graduate. Today we build regional marketplaces to ... ReUp Education is looking for a Data Engineer II to help us empower more adult learners and ...

Arrive Logistics

Senior Data Engineer

Austin, TX · On-site

$105K - $142K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Familiarity with CI/CD, microservice architecture, domain driven design, data contracts * Solid ...

Arrive Logistics

Senior Data Engineer

Austin, TX

$105K - $142K/yr

Who We Want As a Senior Data Engineer at Arrive Logistics, you will build and own the data ... Familiarity with CI/CD, microservice architecture, domain driven design, data contracts * Solid ...

Contoro Robotics

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer will help scale the Cloud Platform Analytics Data Pipeline, ensuring data ... data contracts • Ensure telemetry is correctly instrumented across products and edge cases • ...

Contoro Robotics

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

The Data Engineer will be responsible for scaling the Cloud Platform Analytics Data Pipeline ... data contracts • Ensure telemetry is correctly instrumented across products and edge cases • ...

Deloitte

Senior Data Engineer

Austin, TX · Hybrid

$105K - $142K/yr

Collaborate with different teams on data contracts and schema agreements * Lead design and optimization of high-volume data pipeline. * Define and enforce data engineering standards - naming ...

Contoro Robotics

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

Data Engineer Intro Contoro Robotics is an Austin-based startup revolutionizing warehouse ... Own the company-wide catalog of metrics, events, schemas, and data contracts * Ensure telemetry is ...

Winaxis

Data Engineer- Informatica PowerCenter

Austin, TX · On-site

$52.75 - $69.50/hr

Job Summary (Data Engineer - Informatica PowerCenter, HHSC, State of Texas) - Project Leadership ... Austin, TX (Local candidates preferred) Contract Type: Long-term contract Client: Texas Health and ...

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Showing results 1-20

All JobsContract Graduate Data Engineer JobsContract Graduate Data Engineer Jobs in Austin, TX

Contract Graduate Data Engineer information

See Austin, TX salary details

$44.1K

$128.6K

$175.9K

How much do contract graduate data engineer jobs pay per year?

As of Jul 31, 2026, the average yearly pay for contract graduate data engineer 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 typical responsibilities and learning opportunities for a Contract Graduate Data Engineer?

As a Contract Graduate Data Engineer, you can expect to work on tasks such as building and maintaining data pipelines, cleaning and transforming datasets, and assisting with data integration projects. You will often collaborate closely with data scientists, analysts, and senior engineers, giving you exposure to best practices in data architecture and analytics. The contract nature of the role offers the chance to quickly gain experience across different tools and technologies, which can be valuable for career growth. While you may face challenges adapting to fast-paced project timelines, you'll also benefit from mentorship and hands-on learning opportunities in a supportive team environment.

What are Contract Graduate Data Engineers?

Contract Graduate Data Engineers are early-career professionals who work on a temporary or project basis to help organizations manage, process, and analyze data. They typically have recently completed a degree in a relevant field, such as computer science, data science, or engineering. Their responsibilities may include building data pipelines, supporting data infrastructure, and working closely with data scientists and analysts. Contract roles allow graduates to gain hands-on experience, develop technical skills, and explore different industries while contributing to data-driven projects.

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

To thrive as a Contract Graduate Data Engineer, you generally need a degree in computer science, mathematics, or a related field, as well as foundational knowledge in data structures, algorithms, and database management. Familiarity with programming languages like Python or SQL, experience with data processing tools such as Apache Spark, and knowledge of cloud platforms like AWS or Azure are commonly required. Strong problem-solving skills, effective communication, and adaptability are crucial soft skills for collaborating with teams and handling evolving project needs. These skills and qualities ensure accurate data handling, efficient workflow integration, and the ability to deliver valuable insights in dynamic contract-based environments.
What are popular job titles related to Contract Graduate Data Engineer jobs in Austin, TX? For Contract Graduate Data Engineer jobs in Austin, TX, the most frequently searched job titles are:
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Contract Graduate Data Engineer jobs near you
Infographic showing various Contract Graduate Data Engineer job openings in Austin, TX as of July 2026, with employment types broken down into 61% Full Time, 21% Part Time, 1% Temporary, and 17% Contract. Highlights an 82% Physical, 2% Hybrid, and 16% Remote job distribution, with an average salary of $128,576 per year, or $61.8 per hour.

Data Engineer

PBK

Austin, TX

$113K - $136K/yr

Full-time

Re-posted 7 days ago

Job description

The Data Engineer designs, builds, and supports the data pipelines, integrations, and curated datasets that power analytics, reporting, and AI initiatives for PBK's Architecture vertical and broader AEC operations. This role owns integrations across enterprise platforms, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric. The Data Engineer ensures data is reliable, governed, secure, and available to support business visibility, project delivery, automation, and decision-making.


Your Impact:

  • Design, build, operate, and support ETL/ELT pipelines and integrations across enterprise systems, including Salesforce, Deltek Vantagepoint, Autodesk data sources, Azure, and Microsoft Fabric.
  • Implement data models, curated datasets, Lakehouse/Warehouse structures, and transformation layers to support BI, reporting, AI, and machine learning use cases.
  • Build and support API-first data services, data contracts, and integration workflows using REST, JSON, SOAP where applicable, webhooks, and related patterns.
  • Develop orchestration and scheduling processes using Microsoft Fabric Data Pipelines, Azure Data Factory, Azure Logic Apps, Functions, Spark notebooks, dbt, or similar tools.
  • Apply event-driven integration patterns using Event Grid, Service Bus, Kafka concepts, or similar technologies where appropriate.
  • Own the operational reliability of pipelines and integrations, including monitoring, alerting, incident response, troubleshooting, root-cause analysis, and remediation.
  • Implement data quality checks, validation, lineage, documentation, and governance practices to ensure data is accurate, trusted, and usable.
  • Partner with analytics, application, IT/Security, and business teams to support secure access, data governance, compliance, and reliable data delivery.
  • Support AI initiatives by preparing reliable datasets, including AI/ML pipelines or RAG-oriented datasets where applicable.
  • Use AI tools responsibly to improve productivity, accelerate development, support testing, and improve documentation while maintaining security and quality standards.

Here's What You'll Need:

  • 5+ years of experience designing, building, and operating production data pipelines and integrations.
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field; directly relevant experience, certifications, or training demonstrating comparable expertise in data pipelines, integrations, cloud data platforms, APIs, data governance, and secure data workflows may be considered in lieu of a degree.
  • Strong SQL skills and experience with PostgreSQL or similar relational databases.
  • Proficiency in Python for data engineering, automation, and workflow development.
  • Hands-on experience with Microsoft Azure data services and Microsoft Fabric, or equivalent cloud data platforms.
  • Experience with ETL/ELT pipelines, data modeling, curated datasets, orchestration, and production data workflows.
  • Strong experience with APIs and integration patterns, including REST, webhooks, authentication, error handling, retry strategies, and cross-system data movement.
  • Familiarity with SDLC and CI/CD for data workflows using GitHub Enterprise, Azure DevOps, or similar tools.
  • Strong understanding of security, data governance, access controls, and secure handling of sensitive business information.
  • Ability to communicate clearly with technical and non-technical stakeholders in an AEC or similar business environment.
  • Operational discipline with the ability to maintain, monitor, troubleshoot, and improve mission-critical data flows over time.

Here's How You'll Stand Out:

  • Experience integrating enterprise platforms such as Salesforce, Deltek Vantagepoint, Autodesk Forma, Autodesk data management services, Microsoft 365, or similar systems.
  • Experience with Azure Logic Apps, Azure Functions, MuleSoft, Databricks, Snowflake, or other iPaaS/middleware and cloud data platforms.
  • Experience with dbt, Airflow, Databricks Workflows/Jobs, Fabric notebooks, Spark, or similar transformation and orchestration frameworks.
  • Experience with streaming or event-driven integrations using Event Grid, Service Bus, Kafka concepts, or similar technologies.
  • Experience with Power BI semantic models, performance optimization, and BI-ready dataset design.
  • Experience supporting AI/ML pipelines, RAG-oriented datasets, or data products used in AI-enabled workflows.
  • Strong integration owner mindset with the ability to build solutions that are maintainable, observable, secure, and supportable.
  • Business-oriented approach with a focus on data outcomes that improve delivery, visibility, automation, and decision-making.

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