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We are partnered with an innovative HealthTech company in Dallas that is transforming healthcare through advanced data-driven solutions. They are now seeking a talented Data Scientist to join their growing team and help tackle some of the most impactful challenges in healthcare today.

Role Overview:

As a Data Scientist, you will work closely with product, engineering, and clinical teams to develop models and insights that drive better patient outcomes, optimize operations, and enable new product offerings. This is a hands-on role where you will have the opportunity to work with diverse healthcare data sets and apply the latest machine learning and statistical techniques.

Key Responsibilities:



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Design, build, and deploy predictive models to improve patient care and operational efficiency
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Analyze large-scale healthcare data sets (EMR, claims, device data, etc.)
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Collaborate with cross-functional teams to turn insights into actionable product features
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Communicate findings to both technical and non-technical stakeholders
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Stay current with new developments in machine learning, AI, and healthcare analytics



Ideal Candidate:



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5+ years experience in data science or machine learning, preferably in healthcare or life sciences
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Strong programming skills in Python (Pandas, Scikit-learn, etc.)
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Solid understanding of statistical methods, machine learning techniques, and data wrangling
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Experience working with healthcare data sets (FHIR, HL7, claims, EMR) is a plus
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Strong communication skills and ability to thrive in a collaborative environment



Why Join?



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Make an impact on real-world healthcare outcomes
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Work with a collaborative, mission-driven team
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Hybrid work flexibility (Dallas HQ)
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Competitive salary and benefits

A leading US technology company is building a new event-driven platform powered by serverless AWS services and applied AI. The team operates in a fast-paced, start-up style environment and is expanding its engineering group to accelerate green-field product development.

As a Senior Back-End Engineer you will design, implement and operate Node.js workloads running in AWS Lambda behind API Gateway. You will modernize legacy endpoints, create new APIs, and embed AI capabilities such as LLM-driven features into production systems. Daily work includes writing infrastructure as code, optimizing cold-start performance, managing data in DynamoDB and PostgreSQL, and owning the full service lifecycle from code to monitoring. You will collaborate with a hands-on technical leadership team and influence architecture choices across multiple agile pods.

Technical requirements

* Deep competence with Node.js for back-end development.
* Production experience deploying and operating AWS Lambda functions and Amazon API Gateway integrations.
* Proficiency with serverless design patterns, event buses, and infrastructure-as-code tools such as AWS SAM, CDK, or Terraform.
* Knowledge of data stores suitable for serverless workloads, especially DynamoDB and PostgreSQL.
* Hands-on work integrating AI or machine-learning services into live applications and a strong interest in advancing those capabilities.
* Ability to optimize performance, security, observability, and cost in a serverless environment.

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

Position Title: Data Analyst

Job Overview:

The Data Analyst will support data analysis and reporting efforts, handling everything from data acquisition to generating insights. This role involves working with technical teams to extract and analyse data from the company's central repository using advanced reporting tools. The Analyst will provide actionable insights and recommendations that help inform decision-making processes across the organization.

Key Responsibilities:

* Data Analysis & Reporting: Analyse organizational performance and trends, identifying significant patterns, outliers, and factors that impact outcomes.

* Insight Generation: Investigate data to reveal patterns and behaviours that can inform business decisions and improve overall performance.

* Strategic Recommendations: Provide recommendations based on analysis to assist leadership with both strategic and operational decisions.

* Reporting & Presentations: Prepare and present reports to key stakeholders, helping guide data-driven decision-making.

* Validation Studies: Conduct studies using external data sources to support the company's overall value proposition.

* Data Strategy Development: Propose and implement strategies to enhance data management, accessibility, and reporting processes.

* Technical Tools Usage: Leverage reporting tools such as MicroStrategy to generate in-depth reports and analyses from the data warehouse.

* Flexible Role: This job description outlines the general responsibilities, but additional tasks may arise as needed.

Qualifications:

* Education: Bachelor's degree in Computer Science, Information Technology, or a related field (graduate degree preferred).

* Experience: Typically requires 5+ years of experience in data analysis, with a strong background in handling large data sets and proficiency with tools such as SPSS, MS-SQL, PL/SQL, SQL, Access, or Python.

* Experience with data visualisation and reporting tools like Power BI, MicroStrategy, or Tableau is essential.

* Ability to independently manage tasks and offer support to junior team members when needed.

* Strong project management and presentation skills are crucial.

Skills & Competencies:

* Demonstrates core values such as attention to detail, initiative, and adaptability.

* Strong problem-solving abilities, with a logical approach to analysing data and providing solutions.

* Excellent communication and interpersonal skills, able to present data clearly and professionally.

* Capacity to handle confidential information, ensuring compliance with policies and regulations.

* Advanced proficiency in Microsoft Office and other related software.

* In-depth experience working with database tools and providing technical recommendations to streamline processes.

* Flexible and adaptable to changing priorities, with the ability to meet deadlines in a fast-paced environment.

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.

Power BI Developer

Build, Govern, and Ship with Git-Driven Pipelines

An award winning, Dallas based, organization has the opportunity for an experienced, and passionate, Power BI Developer to join the team on a permanent basis. With the analytics run on carefully crafted semantic models they are looking for someone who can bring a passion for Power BI and utilize that to keep those models fast, accurate, and fully traceable.

This role is based out of the organizations offices in the North Dallas / Galleria area - and requires 4 days per week on site, with Friday being the remote work day.



What you'll do

* Shape raw warehouse data into clean tabular models, write reusable DAX, and publish pixel-perfect reports.
* Commit every change to Git, pass automated Tabular Editor checks, and promote through gated Dev, Test, Prod pipelines
* Enforce a "work-item + approval" rule; nothing reaches production without a green build and your pull-request notes
* Stay plugged into monthly Power BI updates, prototype new features, and brief the team on what's worth adopting
* Partner with the hiring manager and the wider data team during roll-outs - answer questions, tweak visuals, and keep dataflows flowing



Tech stack you'll touch

Power BI Desktop & Service, PBIP/TMDL, Tabular Editor, Azure DevOps or GitHub Actions, REST APIs, SQL/Lakehouse sources, incremental refresh, dynamic RLS, partitioning.

A leading entertainment company based in Dallas is seeking a Senior Data Engineer / Architect to help shape and optimize the future of their data architecture. This is a key role in modernizing their analytics platform, with a particular focus on Google BigQuery and cloud-native design.

What You'll Do:

* Design and implement scalable data solutions using BigQuery, optimizing for performance, cost, and maintainability
* Lead the architectural strategy for the company's data platform, ensuring alignment with business needs and best practices
* Migrate legacy systems to a modern BigQuery-based stack
* Collaborate with BI teams, analysts, and stakeholders to ensure data is modeled for reporting and decision-making
* Implement robust data pipelines (ETL/ELT) using tools like Cloud Dataflow, DBT, Apache Beam, or similar
* Establish and enforce data governance, quality, and documentation standards

What We're Looking For:

* Strong experience designing and architecting cloud-based data warehouses, especially with BigQuery
* Expertise in SQL performance tuning and large-scale data modeling
* Proficiency with ETL tools and orchestration frameworks (e.g., Airflow, DBT, Dataflow)
* Familiarity with GCP services and data infrastructure best practices
* Experience working with semi-structured data (e.g., JSON, Parquet)
* Ability to lead and mentor data engineering teams and influence architectural direction