As a Senior Growth Business Analyst at Huckleberry, you will be a key driver in shaping the strategy of our new revenue initiatives through advanced analytics and insight. You will analyze how families discover Huckleberry across marketing channels, attribution sources, and platforms, and how they move through our web and app funnels, onboarding experiences, upsell flows, and purchase paths. You will also play a pivotal role in strengthening analytics maturity across the company.
Architect the core data infrastructure that supports every part of the business—from clinical operations to member experience to AI-powered insights. Build data pipelines, warehouse/lakehouse environment, workflow orchestration, and foundational data models. As the organization’s first dedicated data engineering hire, operate with a high degree of autonomy, influence technical direction, and enable advanced downstream use cases including analytics, BI, and machine learning.
An experienced Data Engineer is needed to design, develop, and manage a global music data platform and ecosystem. This role will be responsible for advanced development of our enterprise data platform, orchestrating the full lifecycle of our production data, including ingress, egress, storage, federation, lineage, insights, and analytics across multiple sources and targets. The position offers the ideal candidate an opportunity to be a thought leader and influencer within and across the department, company, and market.
The Business Intelligence Developer brings together theory and practice to identify and communicate data-driven insights that allow managers, stakeholders, and other executives in the organization to make informed decisions. The Business Intelligence Developer will have an intermediate understanding of the company’s databases, business intelligence (BI) tools, and existing reports and act as a resource in internal and external meetings.
An exciting opportunity to design, develop, and lead advanced data engineering solutions in a fully remote environment, working with large, heterogeneous datasets to build and optimize data pipelines, data lakes, and data warehouses that drive business insights. Collaborating closely with cross-functional teams and stakeholders to ensure high-quality deliverables, create impactful reports and dashboards, and implement scalable solutions.
Looking for a skilled individual to join the rapidly growing team at Bluelight Consulting to contribute to challenging and meaningful projects. You will be developing high-quality applications that stand out in the market in a collaborative environment that promotes professional development. If you are passionate about software development and eager to be part of a growing software consultancy, we invite you to apply.
We are looking for an experienced Machine Learning Engineer to join our team to develop and deploy machine learning models for anomaly detection, processing both structured data and unstructured marketing content to identify suspicious behavior patterns and anomalous activities. As a member of this project, you will help ensure the delivery of healthcare to millions of Americans by monitoring and preventing fraud, waste, and abuse.
In this role, you will design and implement modern lakehouse platforms on Azure, enabling self-service access to high-quality data for AI-driven initiatives. You will combine cloud services and best practices to build scalable, secure, and cost-efficient end-to-end data solutions. Collaborating with cross-functional teams, you will define architecture standards, enforce governance, and optimize data operations for performance and reliability.
Architect, build, and optimize high-performance cloud-based data solutions on Google Cloud Platform (GCP). Play a critical role in transforming complex business requirements into scalable and secure architectures that support data-driven decision-making. Working closely with cross-functional teams, design robust ETL/ELT pipelines, optimize BigQuery warehouses, and ensure strong data governance and security standards. This position emphasizes technical leadership, mentorship, and collaboration.
This role leads the data engineering practice, overseeing data engineering, analytics, machine learning, and data science initiatives across complex, large-scale projects. You will set technical direction, define standards, and ensure delivery excellence while actively mentoring and managing a team of engineers. Working closely with cross-functional stakeholders, you will drive architecture decisions, implement scalable data solutions, and apply your expertise to optimize client outcomes.