The VHA HEFP Special Engineering Program (SEP) manages nationally prioritized, high-impact capital initiatives, including the Electronic Health Record Modernization, Facility Recapitalization, and Targeted Infrastructure programs. SEP establishes national priorities to ensure consistent, enterprise-wide alignment and execution. Gritter Francona is looking for an Informatics Architect/Business Intelligence Developer to support this potential project.

Key Responsibilities and key experience:

Welcome to PXGEO

PXGEO is an innovative marine geophysical service provider combining the strengths of ocean bottom and towed streamer seismic data acquisition techniques to deliver seamless subsurface imaging for a sustainable future.

What's the role?

As a Data Analyst at PXGEO, you are responsible for supporting the development, design, integration, and deployment of business intelligence solutions, including data lakes, data warehouses, and analytics tools. The role provides data management and analysis capabilities for current solutions, evaluates and implements new technologies to meet changing business needs in cost-effective ways, and ensures data accuracy and accessibility for decision-making purposes. Key responsibilities include:

Power BI Dashboard Development

• Design, build, and update interactive Power BI dashboards with a strong focus on clarity and user experience.
• Create and optimize DAX measures, calculated columns, KPIs, and time‑intelligence metrics.
• Build efficient data models (relationships, hierarchies, star schema basics).
• Ensure dashboards are accurate, well‑documented, and delivered on time.

Business Intelligence and Analytics

Azumo is currently looking for a highly motivated Big Data Engineer to develop and enhance data and analytics infrastructure. The position is FULLY REMOTE based in Latin America.

This role will focus on building scalable, reliable, and governed data systems that power analytics, live operations, player insights, publishing intelligence, and business decision-making across gaming ecosystem.

The ideal candidate has strong hands-on experience with Databricks, DBT, AWS, scalable ETL pipelines, data governance, and modern analytics engineering practices.

Experience supporting gaming, telemetry, live operations, or high-scale analytics environments is strongly preferred.

Requirements

The Data Engineer will be based remotely. Compensation commensurate with experience and candidate potential.

Responsibilities:

Design, build, and maintain scalable ETL/ELT pipelines using Databricks and AWS

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and enterprise-level data architecture.

This role is focused on technical leadership without people management, where you will drive the architecture and delivery of high-quality data solutions supporting analytics, reporting, and AI/ML initiatives. The ideal candidate is hands-on, analytical, and experienced in building robust data platforms across cloud and on-prem environments.

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

We are seeking a Data Architect – Patient Services to join our Life Sciences practice. In this role, you will be responsible for ensuring the integrity and reliability of Patient Services (PS) data and be the primary bridge between external Patient Services Hub vendors and internal enterprise systems. This is a high-impact role combining technical data modeling with operational stewardship, requiring you to drive data quality, investigate complex lineage issues, and ensure that patient data is "analytics-ready" for strategic decision-making.

Responsibilities:

Robusta Technology Group (RTG) is a key driver of digital transformation by providing a holistic tech ecosystem. RTG works with its local and international partners to help build digital customer experiences, establish remote engineering hubs and build ventures across multiple industries and domains. In this pursuit, RTG serves as a catalyst for impact and growth through events, spaces and content focused on creating impact and growth across the different interactions. 

Robusta is a tech agency working with a diverse client base across different sectors & industries on implementing digital transformation programs. Engagements are typically focused on digitization of existing operations & processes and/or activation of digital customer engagement channels. With a team of 100+ tech and market consultants, robusta maintains an impactful footprint across EMEA and engages with its clients through its two key operations hubs in Egypt and Germany. 

Machine Learning Engineer, AI Decisioning (Full-time)

Location: Remote (North America) / San Francisco (Optional)

Salary Range: $200,000 - $260,000 USD

We are expanding our data activation products to include a powerful intelligence layer, and we are looking for a highly experienced Machine Learning Engineer to join our team. Hundreds of companies use our platform to automate and improve operations by syncing data into their systems, but there is immense potential in helping them make smarter decisions about which customers to message, what content to use, and when to send messages.

A lot of this crucial decision-making today is often manual and driven by intuition. By integrating machine learning, we aim to deliver a step-function impact for our customers. Given our access to first-party customer data, we are perfectly positioned to build an intelligence layer that leverages this rich data source.

Your responsibilities will include working on complex problems such as:

Location: New York, NY (100% On-site)

Compensation: $150,000 - $200,000 (Base Salary) + Competitive Equity

We are a rapidly growing, well-funded technology company operating at the intersection of AI, data, and life sciences. Our mission is to accelerate the path for patients to receive life-changing therapies by simplifying insurance, affordability, and pharmacy supply chain complexities. We are seeking a high-impact Analytics Engineer to build the data foundation that powers how we operate, measure, and grow.

As an Analytics Engineer, you'll be an owner of our data infrastructure, ensuring that clean, trustworthy, and decision-grade data is available across the company. This is a highly autonomous, cross-functional role that directly impacts company growth and client success.

If you join, you will:

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems faced by organizations globally. We develop bespoke solutions powered by data and technology for several Fortune 100 companies. We have offices in multiple cities across the US, UK, India, and Singapore, and a substantial remote global workforce.

If you are passionate about working on business problems that can be solved using structured and unstructured data on a large scale, Tiger Analytics would like to talk to you. We are seeking an experienced and dynamic Solution Architect in Data Engineering to play a key role in designing and implementing robust data solutions that help in solving the client's complex business problem.

Responsibilities