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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.

A Client within the banking sector is working exclusively with TRG to find a Senior Data Analyst for a 12 month assignment, 100% allocation.



Main Tech Stack:



* Azure
* SQL
* Power BI / DAX



Requirements:



* 5+ years of experience in one or more of SQL, NoSQL scripting
* Ability to collect, organize, analyze, and disseminate data
* Experience in data warehousing, data modeling, and data mapping
* Applied knowledge of problem decomposition and analysis techniques
* Power BI Experience
* Experience with SSIS, Spark, Unix/Linux scripting, cloud computing services (e.g. AWS), Hadoop, Netezza
* Familiarity with structured and non-structured datastore technologies
* Strong documentation, communication, collaboration, and problem-solving skills
* Ability to prioritize work and manage multiple work streams concurrently





Hybrid working policy:



* 3 days per week on premise in Chicago, 2 days remote.



Those interested should apply to this advert with their resume and contact details. Candidates are being shortlisted this week.

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.

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 Houston office, with a hybrid work policy that requires 3 days per week on site.

Position Title: Data Engineer

Job Overview:

We're looking for a versatile and proactive Data Engineer to join our growing team. This role involves designing, building, and maintaining scalable data pipelines and infrastructure that power analytics and reporting across the organization. You'll work closely with technical and non-technical stakeholders to move data efficiently, ensure system reliability, and support our long-term data strategy. The ideal candidate is agile, collaborative, and able to think critically through technical challenges in a fast-evolving environment.

Key Responsibilities:

* Pipeline Development & Maintenance: Build and maintain reliable, scalable ETL/ELT pipelines to support analytics, operations, and reporting.

* Data Infrastructure: Design and optimize data architecture across cloud and on-prem systems, enabling efficient data access and storage.

* Collaboration: Work cross-functionally with analysts, data scientists, and product teams to deliver high-quality data solutions.

* Performance & Scalability: Monitor and improve system performance, supporting infrastructure that's built for growth.

* Versatility in Execution: Own end-to-end data workflows, from ingestion to transformation to delivery-no silos here.

* Data Governance & Quality: Ensure data accuracy, lineage, and security, maintaining compliance with internal and external standards.

* Problem Solving: Tackle evolving technical challenges using a tech-agnostic mindset-emphasizing clarity, quality, and collaboration.

* Team Contribution: While independent and self-directed, you'll be part of a small, dynamic team where your voice matters and your initiative shapes outcomes.

Qualifications:

* Education: Bachelor's degree in Computer Science, Engineering, or a related field (graduate degree a plus).

* Experience: Experience in data engineering, working across ingestion, transformation, and storage layers.

* Proven experience with SQL and at least one major language or platform (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).

* Comfortable working in an evolving tech environment-open to learning and adapting as tools and priorities shift.

* Strong understanding of database systems, data modeling, and cloud architecture.

* Familiarity with orchestration tools (e.g., Airflow, dbt, or similar).

* Bonus: experience working with reporting or BI tools like Power BI, Tableau, or MicroStrategy.

Skills & Competencies:

* Takes initiative and brings solutions, not just problems.

* Strong analytical thinking and a pragmatic approach to building systems.

* Excellent communication skills-able to explain complex processes clearly to both technical and non-technical audiences.

* Collaborative and team-oriented, but capable of working independently when needed.

* Detail-oriented, dependable, and eager to help shape a growing data function.

* Demonstrates flexibility and professionalism, especially in high-paced, shifting environments

Create, implement, and launch cutting-edge machine learning and AI-driven algorithms/predictive models to enhance Underwriting, Customer Management, Marketing, and Operational processes

Evaluate, preprocess, combine, and analyze extensive datasets using standardized data manipulation methods and techniques, utilizing tools like R, Python, and/or Apache Spark

Offer expertise and guidance on third-party data providers including knowledge of available products and data, recommendations on what to purchase or discontinue, cost-benefit analysis, data dictionaries, effective use of variables, and understanding their limitations and advantages

Create, build, and implement both linear and nonlinear algorithms for testing, development, and integration into our underwriting engine, focusing on risk management across all channels

Effectively utilize data mining techniques to optimize response and approval rates and develop strategies to boost the profitability of products

Ensure clear and detailed model documentation on Wiki Server using reproducible research tools like IPython, Rmarkdown, Jupyter Notebook, and others

Deploy scoring models on different platforms, including R, on-premise, and cloud systems, in formats like Java objects, R models, and Apache Spark models.

Serve as the primary point of contact and functional lead for business partners, ensuring support for all needs and objectives

Guide and oversee analytical projects while mentoring Junior Data Scientists



Experience and Education:

A Master's degree in a highly quantitative discipline (e.g. Economics, Statistics, Mathematics, Engineering, or similar fields)

Hands-on experience in Data Science or Modeling.

Competence in Linux and proficiency in R, Python, or Java; experience with version control tools (e.g., Git), as well as big data technologies and frameworks (e.g., Spark, Hadoop).

Proven expertise in advanced statistical modeling and substantial exposure to machine learning techniques such as Random Forest, LASSO, Gradient Boosting, Elastic Net, etc.

Proven ability to thrive in fast-paced environments with shifting priorities, while effectively communicating and collaborating with Risk Management teams and executives.

Strong data manipulation and engineering abilities, with experience in performing complex data transformations

Hands-on experience with a range of database technologies, including but not limited to MSSQL Server, SAS Datasets, Hadoop, Kafka, Spark, Redshift, HBASE, Spark Streaming, Oracle, Neo4j, Teradata, MySQL, Amazon AWS, DB2, Cassandra, PostgreSQL, Apache Hive/Impala, and NoSQL data formats (including XML & JSON ).



Required Skills, Abilities, Soft Skill Factors:

Technological Expertise - Comprehensive knowledge of Python, Scala, R, Java, SAS, SQL, MATLAB, and/or SPSS, along with risk management technologies, enabling the use of these tools to enhance organizational decision-making.

Motivational Abilities - Proven track record of meeting challenging organizational goals, instilling a sense of urgency, and overcoming obstacles to deliver results.

Analytical and Administrative Abilities - Strong problem-solving and analytical thinking skills, with the capacity to assess trends and recommend solutions to complex issues.

Communication Proficiency - Excellent verbal and written communication skills, with the ability to promote open dialogue, listen attentively, and cultivate strong professional relationships.

Innovative Thinking - Continuously challenges conventional approaches to foster new ideas and embraces a flexible mindset.

Adaptability - Demonstrates resilience and effectiveness when dealing with stress, uncertainty, difficult situations, and changing priorities.

Results-Oriented - Self-motivated and proactive in taking ownership of tasks and driving projects to completion.

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

Tenth Revolution Group are working with a leading manufacturing organization who are seeking a technically strong professional to lead and manage the implementation, rollout, and subsequent utilization of Databricks across the organization. The successful candidate for this position will be responsible for designing and deploying scalable data pipelines and advanced analytics solutions using the Databricks platform.



Technical Responsibilities:

* Architect and implement data solutions using Databricks, including Delta Lake and Unity Catalog
* Build and optimize ETL/ELT pipelines using PySpark and SQL
* Configure and manage Databricks Workspaces, clusters, and job workflows
* Integrate Databricks with cloud platforms (AWS, Azure, or GCP) and data sources
* Implement CI/CD processes for Databricks using tools like Azure DevOps or GitHub Actions
* Set up data governance, access control, and monitoring within Databricks
* Collaborate with data engineers, platform teams, and stakeholders on technical delivery



Required Technical Expertise:

* Databricks (core platform, Delta Lake, Unity Catalog)
* PySpark and Spark SQL
* Cloud data services (AWS/GCP/Azure)
* CI/CD automation for data pipelines
* Git-based version control and release processes
* Data lake architecture and performance tuning



Candidates for this role must be able to demonstrate a deep technical fluency in Databricks and a strong track record of delivering complex data infrastructure projects