La tua attuale ricerca di lavoro

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to undertake a transformation that will overhaul all both the data and the analytics functions of the business. The successful candidate will join a collaborative team and get the opportunity to work with some of the latest technology in the Data space.



The successful candidate for this Data Engineer role will be expected to come with strong experience leading the direction of an organizations data architecture, as well as the building of ETL pipelines, integration of data sources, and scalable data systems.



Essential Experience:

* ETL pipelines (design, development and optimisation)
* Data tools such as: Snowflake, FiveTran, AWS Lambda, AWS S3, and any other relevant tools
* SQL
* dbt



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

Tenth Revolution Group are working with a leading real estate firm with over 60 years of history in the space.



The organization are looking to add to a data-driven solutions team. Candidates for this role must come with a masters level degree from a field such as Data Science or similarly analytical specialism. An ability to demonstrate a deep understanding and successful track record in the Machine Learning world is essential to be successful in your application for this position. Particularly as it relates to the design, build and deployment of ML models.



Deep Learning and NLP (Natural Language Processing) are essential requirements for this position, alongside prior experience working hands-on with LLMs (Large Language Models), building advanced systems and RAG pipelines. An ability, and flexibility, of designing/implementing tailored Neural Network architectures that relate to specific situational cases. This all ties in with the organizations overall goal of solving problems and an advancement in it's Automated Intelligence capabilities.



Experience with Amazon Web Services and tools listed below are required:

* SageMaker
* Python
* SQL
* Snowflake
* Big Data Technologies



This is a role that is best suited to someone who shares the organizations passion for leading the way, and embracing, emerging technology trends such as Machine Learning, GenAI, Natural Language Processing and more in the Cloud space.



This is a permanent position, based in the organizations Dallas offices, with a hybrid work policy that requires 3 days per week on site.

An industry leading, Texas based, organization are looking to hire an experienced Business Intelligence Engineer as the company looks to further utilize the latest technologies available in the space.



The successful applicant for this position will be responsible for the design and development of business-critical dashboards and reports and will play an integral role in the implementation of these, as well as driving forward a data driven decision making approach.



The Data, Analytics & Business Intelligence division plays a critical role across all divisions of the organization and is an integral part of the overall growth plan and aspirations of the C-Suite. This is backed up by the investment in the latest technology available and the success they have already delivered to date.



In order to be considered for this position, candidates must have strong experience across the below:

* Business Intelligence Development
* BI Solutions (Designing, Developing, Deploying)
* Data Pipelines/Data Models/Data Reports
* Microsoft Fabric
* Azure Data Lake
* Azure Data Factory
* Microsoft 365 (Collaboration is of critical important)
* DAX
* Power BI
* Power Platform (particularly Power Automate)
* Data Governance (understanding & implementing)
* SQL
* Python



Candidates should submit a Power BI portfolio alongside a resume in order to be considered for this position.



If you are serious about finding an opportunity that will allow you to move upwards in your career, do not miss this rare opportunity.



The organization has offices in major cities across the below states. Only candidates in such locations will be considered for this opportunity.

* Arkansas
* Florida
* North Carolina
* South Carolina
* Texas



Candidates outside of these locations cannot be considered. Visa sponsorship is not available for this position.

Location: Dallas, TX (3 Days On-Site, 2 Days Remote)

Contract Duration: 6 Months (with potential for extension)

About the Role: Our Client is seeking a skilled Senior Data Engineer to join their team for a 6-month contract role based in Dallas, TX. The successful candidate will play a key role in building, maintaining, and optimizing data pipelines and infrastructure, working closely with stakeholders to deliver superb data solutions. This position requires 3 days per week on-site at the client location.



Key Responsibilities:

*

Design, develop, and maintain scalable data pipelines using Databricks and Azure technologies.
*

Implement data integration solutions that support analytics and reporting needs.
*

Collaborate with data scientists, analysts, and business teams to understand requirements and deliver effective data solutions.
*

Optimize data storage, processing, and performance for large-scale datasets.
*

Ensure data security, integrity, and compliance with relevant regulations.



Key Skills & Experience Required:

*

Proven experience as a Senior Data Engineer or in a similar role.
*

Strong expertise in Databricks and Azure Data Services (e.g., Azure Data Factory, Azure Synapse, Azure Data Lake).
*

Proficiency in Python, SQL, and other data engineering languages.
*

Experience building and maintaining ETL/ELT pipelines.
*

Familiarity with data modeling, data warehousing, and data governance best practices.
*

Excellent problem-solving skills and ability to work independently.



Preferred Skills:

*

Experience working in client-facing environments.
*

Strong communication and stakeholder management skills.



Contract Details:

*

Duration: 6 months with potential for extension.
*

Location: On-site in Dallas, TX (3 days per week) with remote flexibility for 2 days