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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.
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Cross-Functional Collaboration: Partner with data scientists, analysts, engineers, and product teams to deliver reliable, actionable data solutions.
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System Performance: Ensure systems are built with scale in mind, proactively managing performance and growth.
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End-to-End Ownership: Manage the full data lifecycle-from ingestion through transformation and delivery-without handoffs or silos.
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Data Quality & Compliance: Uphold data integrity, security, and traceability in line with internal and regulatory standards.
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Innovative Problem Solving: Navigate evolving challenges with a solution-oriented mindset and flexible approach to tools and technologies.
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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).
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Professional Experience: Solid background in data engineering across data ingestion, transformation, and storage layers.
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Technical Proficiency: Strong command of SQL and experience with at least one core technology (e.g., Python, Scala, Spark, Snowflake, AWS, etc.).
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Adaptability: Comfortable working in changing technical landscapes and open to evolving tools and priorities.
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Data Architecture Knowledge: Deep understanding of database systems, data modeling practices, and cloud-based infrastructure.
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Workflow Tools: Experience with orchestration tools like Airflow, dbt, or comparable systems.
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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.
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Strong analytical and systems thinking skills with a practical mindset.
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Clear communicator who can articulate technical ideas to various audiences.
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Team player who can also thrive in independent settings.
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Detail-oriented, reliable, and invested in the team's and company's success.
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Agile and professional under pressure, with a flexible approach to shifting priorities.

Job Description:

Currently working with a high end hospitality firm in Kansas city, Missouri. We are looking for a hands-on Software Engineer who can code, architect and lead. The role is hybrid, 2/3 days in office. The right candidate must have experience with connected devices, IoT or embedded systems.

Role & Responsibilities

* Building and designing robust software solutions to improve communication between products and the mobile app
* Implementing and leading automated QA testing technologies
* Leading the architecture and development of connected device ecoystem while ensuring reliability, scalability and seamless user experience

Skills & Qualifications

* 5+ years of experience in software development (main focus on IoT)
* Strong programming skills in languages such as Java, Python, Swift, C++, etc.
* Familiarity with cloud platforms (Azure, Google Cloud, AWS)

Benefits

* Retirement Savings Plan (401k) Match
* Medical Insurance/Dental Plan
* Company Gym / Gym Membership

Remote Role

A leading organization at the forefront of modern data solutions is seeking a Principal Solutions Architect specializing in Machine Learning. Partnering with major cloud providers such as AWS, Azure, GCP, and Snowflake, their team helps enterprises navigate their most complex data challenges with innovative and scalable solutions.

The company fosters a vibrant culture rooted in curiosity, ownership, and mutual trust. Despite their rapid growth, they maintain an engaging, flexible environment focused on delivering excellence while supporting personal and professional development.



Key Highlights:

* Multiple-time Partner of the Year with top cloud platforms
* 600+ advanced cloud certifications (AWS, Azure, Snowflake, and more)
* Recognized as a best place to work across multiple regions



Role Overview: In this role, you will lead the architecture and delivery of advanced AI/ML solutions, while simultaneously cultivating client relationships and uncovering new growth opportunities. This position demands a rare blend of technical leadership, client advocacy, and strategic thinking.



Primary Responsibilities:

Technical Leadership & Delivery:

* Design end-to-end AI/ML solutions ensuring scalability, robustness, and business alignment
* Lead teams of engineers and data scientists to build sophisticated ML platforms, pipelines, and products
* Articulate the business impact and ROI of machine learning initiatives to diverse audiences
* Mentor team members on emerging best practices and industry standards
* Stay current on evolving AI/ML tools and methodologies to shape future solutions

Client Engagement & Account Development:

* Forge strong client relationships to understand their AI/ML vision and translate it into actionable roadmaps
* Present compelling technical strategies that drive client adoption and success
* Identify opportunities for additional client value through expanded AI/ML solutions
* Lead responses to RFIs and RFPs, emphasizing innovative and results-driven approaches



Required Qualifications:

* Extensife experience in AI/ML architecture, software engineering, or data science
* Significant leadership experience in a consulting environment
* Bachelor's degree in Computer Science, Engineering, or related field
* Strong expertise deploying machine learning models in production environments
* Demonstrated success in account growth, solution pre-sales, and proposal development
* Deep knowledge of AI/ML ecosystems (AWS, GCP, Azure, Databricks, Vertex AI, SageMaker)
* Proficient in Python, Scala, Java, or other modern programming languages
* Experience with building scalable data pipelines and API/web server development
* Full software development lifecycle experience



Preferred Skills:

* Master's degree or other advanced qualifications
* Contributions to open-source AI/ML projects
* Familiarity with ML libraries (TensorFlow, Keras, scikit-learn, h2o, etc.)
* Experience with Docker, Kubernetes, MLflow, and Sagemaker/Azure ML



Benefits:

* Remote-first work environment
* Award-winning, collaborative culture emphasizing creativity and autonomy
* Competitive compensation and benefits, including 4 weeks PTO plus holidays
* Ongoing investment in advanced training and professional certifications



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

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 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.

Job Title: Senior System and Security Administrator

Location: Boston, MA
Reports To: VP, IT

The Senior System and Security Administrator will lead IT infrastructure strategy, focusing on designing, implementing, and managing robust, scalable, and secure systems. This senior-level role involves shaping the architecture across cloud, identity, security, and enterprise applications, ensuring all IT solutions align with organizational growth strategy and cybersecurity priorities. The organization follows a cloud- and SaaS-first model, requiring familiarity with a variety of SaaS products.

Responsibilities:

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Collaborate with stakeholders to gather and analyze system requirements, translating business needs into technical solutions
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Lead architectural design and integration of enterprise systems, with a focus on identity management (SSO/SCIM) and cloud platforms (AWS, Azure)
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Ensure integration of DNS, email security (SPF, DKIM, DMARC), and device management tools such as Kandji MDM, Intune MDM, and NinjaOne MD
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Provide technical guidance and mentorship to development teams, architects, and engineers
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Establish and enforce architectural standards, best practices, and guidelines
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Develop and enforce IT security frameworks (e.g., NIST CSF, SOC 2)
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Oversee and improve deployment of security tools including SentinelOne, Zscaler, Mimecast, and Datadome
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Act as a key stakeholder in DNS management, brand protection, and email deliverability
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Lead the change control board for SaaS products and serve as a stakeholder for approvals

Qualifications:

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Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience
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7+ years of progressive experience in IT systems and security administration, with at least 2 years in a senior or lead capacity
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Proficient in cloud platforms (AWS and Azure)
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Strong experience with enterprise applications such as Microsoft 365, Google Workspace, Slack, and Zendesk
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Hands-on experience with identity management, including SSO and SCIM
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Expertise in DNS, SPF, DKIM, DMARC, and email security best practices
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Familiarity with MDM solutions such as Kandji, Intune, and NinjaOne
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Experience managing Zscaler, Cisco Meraki, and Zero Trust principles
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Solid understanding of IT security standards (NIST CSF, SOC 2)
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Comfortable supporting Kubernetes clusters and Microsoft 365 tenant administration
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Strong interpersonal and communication skills, with experience mentoring cross-functional teams