Jobs at Lakehouse Music Academy

The Manager, Data Engineering and Analytics role at the University of Illinois Foundation leads a team responsible for building and maintaining enterprise data solutions that support fundraising and advancement operations. Key duties include directing the migration of legacy infrastructure to a modern cloud platform using Microsoft Fabric, overseeing the design of data warehouses and reporting layers, and implementing structured software development practices. The position requires strong SQL expertise and experience with tools like Power BI or Tableau to enable self-service analytics. This opportunity is appealing due to the organization's commitment to work-life balance through a hybrid schedule, a collaborative culture within a state-of-the-art LEED-certified workspace, and comprehensive benefits including pension and wellness amenities.

This hybrid Senior Product Owner role leads the vision and development of a next-generation Data Lakehouse platform designed to support Department of Defense cyber operators. The position requires defining strategic roadmaps, managing prioritized backlogs, and translating complex operational challenges into actionable technical requirements for engineering teams. Key responsibilities include engaging directly with DoD stakeholders to understand mission needs, validating software changes against acceptance criteria, and collaborating with business development to shape go-to-market strategies. The role offers the appeal of working for a Top Workplace recognized for its innovative culture and unwavering work ethic, featuring a hybrid schedule with one to two days onsite in Columbia, Maryland and up to 25% travel. Employees benefit from a supportive environment that values professional growth, including education allowances and comprehensive health coverage, while contributing to critical national security missions.

The AI/ML Architect role is based in Torrance, California, with an onsite requirement starting day one. This position leads enterprise data and AI initiatives, focusing on designing scalable frameworks for large language models, generative AI, and predictive analytics. Key responsibilities include establishing AWS cloud governance for cost optimization and security, modernizing legacy data silos into a Data Lakehouse or Data Mesh architecture, and implementing AI ethics guardrails. The role appeals to candidates seeking to drive high-impact technical strategy using tools like Snowflake, Databricks, and AWS services. It offers the opportunity to transition AI projects from proof of concept to full-scale production within a collaborative environment that values innovation and robust infrastructure design.

This contract role as a Senior AI Platform Engineer involves joining a squad of senior engineers to scale production pilots for a client-serving layer. Key responsibilities include building sync pipelines, serving stores, and API layers using Python and FastAPI, while configuring end-to-end pilot integrations and establishing CI/CD pipelines with automated testing. The position requires operating data infrastructure to meet strict latency and availability SLAs while partnering with domain teams to onboard new use cases. The opportunity appeals to engineers seeking hands-on work with advanced technologies like Delta Lake, vector databases, and real-time streaming to transform prototypes into scalable production systems. The role offers a collaborative environment focused on building reusable blueprints and reference implementations across multiple locations including Bellevue, Frisco, Kansas, and Atlanta.

This senior data engineering role within IBM Consulting focuses on designing and scaling data infrastructure for high-priority Agentic AI initiatives. The position involves building robust data pipelines using Microsoft Fabric, Databricks, and Azure Synapse Analytics to support enterprise-scale AI and analytics use cases. Key responsibilities include architecting data lakehouse patterns, implementing data quality and governance frameworks, and collaborating with AI engineers to ensure data readiness for model consumption. The role offers the opportunity to work with cutting-edge hybrid cloud technologies while contributing to meaningful client transformations. It appeals to professionals seeking a culture of curiosity and growth, with a focus on long-term career development and the chance to challenge the norm in a diverse, collaborative environment.

This senior data engineering role within IBM Consulting focuses on designing and scaling data infrastructure for high-priority Agentic AI initiatives. The position involves building robust data pipelines using Microsoft Fabric, Databricks, and Azure Synapse Analytics to support enterprise-scale AI and analytics use cases. Key responsibilities include architecting data lakehouse patterns, implementing data quality and governance frameworks, and collaborating with AI engineers to ensure data readiness for model consumption. The role offers the opportunity to work with cutting-edge technologies across hybrid cloud environments while contributing to meaningful client transformations. It appeals to professionals seeking a culture of curiosity and growth, with a focus on long-term career development and the chance to solve complex challenges in a diverse, collaborative global team.

This senior data engineering role within IBM Consulting focuses on designing and scaling data infrastructure for high-priority Agentic AI initiatives. The position involves building robust data pipelines using Microsoft Fabric, Databricks, and Azure Synapse Analytics to support enterprise-scale AI and analytics use cases. Key responsibilities include architecting data lakehouse patterns, implementing data quality and governance frameworks, and collaborating with AI engineers to ensure data accessibility for model consumption. The role offers the appeal of working with cutting-edge AI technology in a culture that values curiosity, innovation, and long-term career growth. Engineers will operate within a global team supporting diverse clients, utilizing a hybrid cloud environment with significant opportunities for professional development and technical challenge.

This full-time Data Engineer role is based in New Haven, Connecticut, focusing on designing and optimizing enterprise-scale data platforms using Microsoft Fabric and Azure services. The position involves building scalable data pipelines and ETL/ELT solutions, managing data lake and warehouse architectures, and ensuring data quality and governance. Key responsibilities include collaborating with business stakeholders to deliver analytics solutions, optimizing data processing performance, and mentoring junior team members. The opportunity appeals to professionals seeking to lead technical initiatives within a modern data ecosystem. The role requires on-site presence in New Haven and is available for W2 employment only.

This three-month onsite Data Engineer role in Montgomery, Alabama, focuses on establishing data quality frameworks within cloud environments. The position involves profiling and cleansing data to ensure integrity, writing complex SQL queries for validation, and building automated testing pipelines using Python and tools like MS Purview. Key responsibilities include designing data models, performing root cause analysis on data issues, and collaborating with analytics teams to prepare reliable datasets for AI applications. The opportunity appeals to experienced professionals seeking to build data governance processes from the ground up in a collaborative setting that values technical precision and supports advanced analytics initiatives.

This full-time, 100% remote role for East Coast candidates seeks a Lead AI Data & Cloud Architect to drive enterprise AI adoption using Python and AWS. The position involves translating business needs into scalable, production-ready AI platforms and leading architecture decisions for cloud-native, event-driven systems. Key responsibilities include designing modern data architectures for LLM ecosystems like Claude, establishing governance for AI solutions, and mentoring engineering teams while managing executive stakeholder relationships. The role appeals to candidates with a consulting background who thrive in a hands-on leadership environment that bridges strategy and execution. It offers the opportunity to shape enterprise transformation without being limited to traditional governance duties, focusing instead on delivering secure, high-impact technical roadmaps.

This full-time Hadoop Developer role is based within Bright Vision Technologies' in-house engineering team, focusing on designing and operating large-scale data processing pipelines. The position involves building robust ETL workflows using Apache Spark and Hive, developing high-throughput streaming solutions with Kafka, and optimizing data storage layouts for performance and cost efficiency. The role offers significant career growth potential within a forward-thinking organization that values innovation and technical excellence. It is a 100% remote position for candidates in the continental United States, providing the flexibility to work from anywhere while contributing to long-term, multi-year delivery roadmaps.

This Data Engineer role within IBM Quantum focuses on designing and operating data pipelines that power insights into quantum hardware performance and platform operations. The position involves building scalable ETL processes to integrate diverse technical datasets, including system telemetry and experiment logs, into trusted analytics assets. Key responsibilities include developing orchestration workflows using Apache Airflow, optimizing data flow with PostgreSQL and Presto, and implementing streaming architectures with Apache Kafka. The role appeals to candidates interested in deep technology and quantum computing, offering the opportunity to collaborate with cross-functional teams on cutting-edge systems. The position supports a mission-driven environment where data solutions directly influence the roadmap for leading quantum computing systems.

The Data Engineer role at IBM Quantum focuses on designing and operating data pipelines that power insights into quantum hardware performance and platform operations. The position involves building scalable ETL processes to integrate diverse technical datasets, including system telemetry and experiment logs, into trusted analytics assets. Key responsibilities include developing orchestration workflows using Apache Airflow, applying advanced SQL with PostgreSQL and Presto, and implementing streaming architectures with Kafka. This opportunity appeals to engineers interested in deep technology, offering the chance to contribute to the world's leading quantum computing systems while collaborating across hardware, firmware, and product teams. The role supports a culture of innovation and continuous improvement within a high-impact engineering environment.

This full-time AWS Lead Data Engineer role is based in Newark, New Jersey, with a hybrid work arrangement requiring regular on-site presence. The position serves as a technical leader within the Data Engineering team, responsible for architecting and managing scalable data solutions on the AWS cloud. Key duties include designing secure data pipelines and data lake architectures, overseeing the migration of legacy systems, and mentoring junior engineers to enforce best practices in code quality and governance. The role appeals to candidates seeking a leadership opportunity where they can drive the adoption of DevOps and infrastructure-as-code strategies while collaborating with cross-functional partners to solve complex data challenges. The environment emphasizes professional growth through the evaluation of emerging technologies and the opportunity to shape enterprise data strategy.

This full-time Data Engineer role serves as a Corporate Vertical Developer supporting key business functions such as Finance, Compliance, and Facilities. The position focuses on designing and maintaining scalable data pipelines using Microsoft Azure and Azure Databricks, while optimizing ETL processes for diverse data sources. Key responsibilities include building data models for enterprise analytics, integrating platforms like ServiceNow and Workday, and ensuring strict adherence to data governance and security standards. The role offers the appeal of working on high-impact data modernization initiatives within a collaborative environment that values innovation. Candidates will operate in a hybrid capacity from the NYC area, requiring three days of onsite presence per week to partner effectively with cross-functional stakeholders.

This senior engineering role supports a leading insurance company in Paramus, New Jersey, focusing on building production-grade AI systems using Google's Generative Intelligence ecosystem. The position involves designing and deploying large and small language models, creating intelligent agents with the Google Agent Development Kit, and implementing Retrieval-Augmented Generation pipelines. Key responsibilities include fine-tuning models, integrating AI solutions with Google Workspace and BigQuery, and managing MLOps workflows for continuous evaluation and monitoring. The opportunity appeals to candidates seeking to work with cutting-edge technologies like Gemini and Vertex AI within a collaborative environment that values innovation and technical excellence.

This role is a Worldwide Specialist Solutions Architect focused on SQL Analytics, Data, and AI within the AWS sales organization. The position serves as a subject matter expert for customers with complex challenges, designing scalable cloud-based analytics solutions using Amazon Redshift, data lake architectures, and AI integration tools. Key responsibilities include guiding customers through cloud migration and modernization, representing customer feedback to influence product roadmaps, and acting as a thought leader by creating technical content and speaking at industry events. The role appeals to professionals seeking to work with cutting-edge technology in a culture that values innovation, diverse experiences, and continuous career growth. The position offers flexibility in work arrangements and the opportunity to collaborate with a global team of technical experts to drive business value for organizations ranging from startups to enterprise clients.

This role is a Worldwide Specialist Solutions Architect focused on SQL Analytics, Data, and AI within the AWS sales organization. The position involves serving as a subject matter expert to design scalable cloud-based analytics solutions using Amazon Redshift and related technologies for customers ranging from startups to enterprises. Key responsibilities include guiding customers through complex technical challenges, representing customer feedback to influence product roadmaps, and acting as a thought leader by creating enablement materials and speaking at industry events. The role appeals to those seeking to shape the future of cloud data strategies while working within an inclusive team culture that values innovation and continuous learning. The position offers opportunities for global collaboration and career growth through mentorship and exposure to cutting-edge AI and data architectures.

This full-time Hadoop Developer role is based within Bright Vision Technologies' in-house engineering team, operating as a direct W2 position with 100% remote flexibility across the continental United States. The position focuses on designing, building, and maintaining large-scale data processing pipelines and analytics platforms using the Hadoop ecosystem. Key responsibilities include developing robust ETL workflows with Apache Spark and Hive, managing high-throughput streaming data via Kafka, and optimizing distributed systems for performance and cost efficiency. The role appeals to candidates seeking long-term career growth within a forward-thinking organization that values innovation and offers a collaborative culture. The position requires five or more years of experience and involves mentoring junior engineers while contributing to the company's mission of transforming business processes through technology.

This role is a Specialist Solutions Architect position within AWS Worldwide Specialist Organization, focusing on SQL Analytics, Data, and AI go-to-market strategies. The individual serves as a subject matter expert for Amazon Redshift and the broader SQL ecosystem, designing cloud-based analytics solutions that support customer AI initiatives. Key responsibilities include guiding complex customer migrations, influencing product roadmaps through customer feedback, and acting as a thought leader by creating technical content and speaking at industry events. The position appeals to those seeking to work with cutting-edge data technologies in an inclusive culture that values innovation and continuous learning. The role offers opportunities for global collaboration, mentorship, and career growth while supporting a mission to help organizations of all sizes leverage cloud computing effectively.

The AWS Lead Data Engineer role serves as a technical leader within the Data Engineering team, based in Newark, NJ, with a hybrid work arrangement. The position involves architecting and managing scalable data solutions on AWS, including designing large-scale data pipelines, data lakes, and warehouses using services like Glue, Redshift, and S3. Key responsibilities include mentoring a team of engineers, overseeing legacy system migrations, enforcing data governance standards, and driving DevOps and infrastructure-as-code practices. This opportunity appeals to candidates seeking a leadership position where they can shape cloud architecture, foster a culture of best practices, and solve complex data challenges while collaborating with cross-functional partners.

The Managing Director of Data & AI is a senior executive role based in Minneapolis responsible for leading the growth and integration of Pioneer's unified data engineering, analytics, and artificial intelligence practice. Key responsibilities include driving business development and managing senior client relationships, overseeing the full practice P&L, and merging technical teams into a cohesive high-performing unit. The position requires deep expertise in platforms like Databricks, Azure, and Snowflake to deliver strategic data solutions. This role appeals to leaders seeking significant autonomy, the opportunity to shape a fast-scaling company's strategy, and a culture that values executive presence, continuous learning, and meaningful impact. The position operates on a hybrid schedule within the Minneapolis market.