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Position Title: Data Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

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Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
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Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
*

Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
*

System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
*

End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
*

Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
*

Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
*

Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

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Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
*

Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
*

Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
*

Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
*

Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
*

Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
*

Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

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Proactive and solution-focused, not afraid to take ownership.
*

Strong analytical and systems thinking skills with a practical mindset.
*

Clear communicator who can articulate technical ideas to various audiences.
*

Team player who can also thrive in independent settings.
*

Detail-oriented, reliable, and invested in the team's and company's success.
*

Agile and professional under pressure, with a flexible approach to shifting priorities.

Position Title: Data Engineer

About the Role:

We're seeking a dynamic and resourceful Data Engineer to become part of our expanding team. In this role, you'll be responsible for building and maintaining robust, scalable data pipelines and infrastructure that support analytics and reporting across the organization. You'll partner with both technical and business teams to ensure data flows efficiently, systems are dependable, and our data strategy is future-ready. The right candidate thrives in a fast-paced environment, is a collaborative problem-solver, and brings a sharp, adaptable mindset to technical challenges.

What You'll Do:

*

Pipeline Engineering: Develop and maintain scalable ETL/ELT workflows to support data needs across analytics, operations, and business functions.
*

Infrastructure Design: Architect and fine-tune data platforms across cloud and hybrid environments for optimized access and performance.
*

Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
*

System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
*

End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
*

Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
*

Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
*

Team Engagement: Contribute to a small, high-impact team where every voice counts and initiative drives progress.

What We're Looking For:

*

Education: A bachelor's degree in Computer Science, Engineering, or a related discipline (advanced degrees welcomed).
*

Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
*

Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
*

Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
*

Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
*

Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
*

Nice to Have: Familiarity with business intelligence platforms such as Power BI, Tableau, or MicroStrategy.

Key Attributes:

*

Proactive and solution-focused, not afraid to take ownership.
*

Strong analytical and systems thinking skills with a practical mindset.
*

Clear communicator who can articulate technical ideas to various audiences.
*

Team player who can also thrive in independent settings.
*

Detail-oriented, reliable, and invested in the team's and company's success.
*

Agile and professional under pressure, with a flexible approach to shifting priorities.

Tenth Revolution Group are working with a leading organization in the hospitality industry who are looking to add a Senior AI Engineer to the team on a permanent basis.

Successful applicants for this role will be able to demonstrate hands on experience designing, coding, and shipping production workloads built entirely on AWS Serverless. Applicants must have strong experience with Node.js functions running in AWS Lambda behind API Gateway, with event-driven patterns. Experience modernizing legacy services, building green-field APIs, and optimizing cold-start performance at scale will be highly advantageous.

Tenth Revolution Group are working with a leading organization in the hospitality industry who are looking to add a Senior AI Engineer to the team on a permanent basis.



Successful applicants for this role will be able to demonstrate hands on experience designing, coding, and shipping production workloads built entirely on AWS Serverless. Applicants must have strong experience with Node.js functions running in AWS Lambda behind API Gateway, with event-driven patterns. Experience modernizing legacy services, building green-field APIs, and optimizing cold-start performance at scale will be highly advantageous.



This is a US based remote position.

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 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

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.

Tenth Revolution Group are working with a fast-scaling, Texas-headquartered niche technology pioneer as they look to hire a hands-on, impact-driven Senior Backend Engineer to propel the next wave of their cloud-native and AI-enabled products. The company's sustained commercial wins have fuelled continuous growth, expanding a Technology department that prizes curiosity, rapid experimentation, and precision engineering. Colleagues thrive in an environment where shipping scalable serverless solutions is celebrated and tinkering with applied AI features is part of everyday problem-solving. Engineering decisions are data-backed, architecture discussions are lively, and successes are quickly rolled into the roadmap to keep momentum high.



TECHNICAL REQUIREMENTS:

* Proven success designing, developing, and operating large-scale backend services on AWS using a serverless architecture paradigm.
* Expert-level proficiency in Node.js for building robust, modular, and testable micro-services.
* Deep hands-on mastery of AWS Lambda, including authoring, deploying, and tuning high-throughput functions and integrating them with API Gateway, EventBridge, DynamoDB, and SQS.
* Demonstrated capability to select and implement the most appropriate AWS Serverless components (e.g., Step Functions, AppConfig, SAM/CDK) to achieve low-latency, cost-efficient solutions.
* Track record of shipping production AI-powered functionality: designing data pipelines, integrating ML/LLM services or custom models, and monitoring real-world performance at scale.
* Solid grounding in software architecture patterns (event-driven, micro-services, domain-driven design) with evidence of balancing speed, maintainability, and reliability.
* History of implementing automated CI/CD pipelines and infrastructure-as-code (CloudFormation or CDK) to achieve rapid, reliable deployments.
* Confident in writing performance-focused, unit-tested, and observability-enabled code (metrics, logs, traces) that withstands heavy load.
* Comfortable leading technical decision-making, performing code reviews, and mentoring others through example and deep domain knowledge.



Whilst this position is primarily remote, the organization requires candidates to reside in Texas to accommodate the occasional, albeit rare, on-site visit requirements for certain business critical projects/operations/processes which take place at the company headquarters in the Dallas-Fort Worth metroplex.