Industry Insight Transportation logistics is the foundational industry that powers everything we rely on daily, yet it remains a complex and fragmented domain ripe for technological revolution. The US transportation logistics industry alone is an $800 billion market. Alvys is not just participating in this change; we are driving it as the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to truly transform this essential sector. Your role will be at the forefront of automating and standardizing a sector that moves trillions of dollars' worth of goods annually, predominantly by truck, but still lacks modern tools and solutions. Your leadership will help bridge this gap, bringing innovative technologies to a traditionally underserved and mission-critical industry. About Alvys Alvys is the fastest-growing Transportation Management System (TMS) in history, uniquely positioned to dominate and truly revolutionize the $800 billion US transportation logistics industry. We're not just iterating on old tools; we're building a world-class, multi-tenant SaaS platform from the ground up to automate, standardize, and transform this essential sector. Join us to apply your technical vision to one of the economy's most mission-critical and underserved markets, making a massive, tangible impact on the movement of global goods. This is where industry experience meets cutting-edge technology to create the undisputed market winner, and you will be a core part of that journey. About the Role As a Staff Data Engineer, you will be the primary architect of our data ecosystem. Alvys is shifting toward a Snowflake-centric data architecture to power our next generation of logistics intelligence. You aren't just building pipelines; you are defining our LLM-based data strategy, enabling large-scale ML model deployment, and leveraging Snowflake Cortex to turn fragmented logistics data into actionable AI-driven products. This is a high-visibility, 'player-coach' position. You will work closely with leadership to ensure our data infrastructure supports real-time operational needs today while scaling for the AI-first logistics world of 2026 and beyond. Our Tech Stack - Data Platform: Snowflake (Warehouse, Cortex AI/ML, Semantic Models, LLM Agents) - Data Pipelines: dbt, Fivetran, Reverse ETL (Census) - AI/ML: Snowflake Cortex, OpenAI, Azure Cognitive - Backend/Infra: .NET/C#, Python, Azure Ecosystem, GitHub Actions Key Responsibilities - Define and implement the strategy for LLM-based data products, including data preparation, semantic layer design, and embedding pipelines for RAG-based applications. - Own the design and evolution of our Snowflake architecture. Lead the implementation of Snowflake Cortex for AI/ML workloads, including semantic models and LLM agents. - Design and maintain reliable, performant ELT/Reverse ETL pipelines. Ensure our multi-tenant SaaS data remains isolated, secure, and performant at scale. - Build and operationalize pipelines for large-scale ML and LLM model development, moving from POC to production-grade deployment within the Snowflake perimeter. - Think holistically about the data estate. Reduce complexity through modularity and well-defined service boundaries (e.g., Medallion Architecture). - Serve as the go-to expert for emerging data trends. Mentor engineers and partner with Product and Design to translate complex business logic into automated deliverables. The Experience You Have - 7+ years of experience in Data Engineering with a proven track record of delivering mission-critical data platforms. - Deep proficiency in Snowflake (Data Modeling, Query Optimization, Security, and Cortex AI functions). - Expert-level skill in SQL and Python. Extensive experience with dbt and modern orchestration (Airflow/Dagster). - Demonstrated experience building pipelines for ML or LLM-based applications, including feature engineering and model deployment. - Competency in Azure (preferred) or other major cloud providers, including CI/CD and infrastructure-as-code principles. - Experience driving cross-team consensus on architectural decisions and mentoring junior/mid-level engineers. The Way You Work - Ownership: You take end-to-end responsibility. If it’s in production, it’s yours—from the initial schema design to the final dashboard latency. - Pragmatism: You believe technical debt is a strategic choice. You choose solutions that scale and solve real problems over theoretical "perfection." - Simplicity: You prioritize modularity and clean design to reduce cognitive load in a complex logistics domain. - Transparency: You democratize data. You ensure insights are accessible across the organization and participate in constructive feedback loops. Equal Employment Opportunity Alvys is an equal opportunity employer and as such, we do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or any other characteristic protected by applicable laws. We are dedicated to growing a diverse team of highly talented people. We’re dedicated to building a workplace where we give each other the strategies, support, and space we each need to thrive—believing in and bringing out the best of everyone. If you require any accommodations during the recruitment process, whether it be alternate forms of material, accessible meeting rooms, etc., please let us know and we will work with you to meet your needs. For information about Alvys's privacy practices, see our Privacy Policy.

• Design, implement, and maintain Infrastructure-as-Code (Terraform) for the Data Platform and supporting infrastructure. • Own infrastructure lifecycle management across environments (dev/stage/prod). • Ensure availability, scalability, and fault tolerance of platform components. • Improve environment isolation and infrastructure standardization. • Monitor and optimize infrastructure cost and resource utilization. • Design and maintain CI/CD pipelines in GitLab for infrastructure and platform components. • Implement automated testing, validation, and policy enforcement for infrastructure changes. • Establish and evolve logging, monitoring, alerting, and tracing standards. • Lead migration of legacy infrastructure to standardized, modernized architecture patterns. • Collaborate with cross-functional technical teams to ensure reliable and scalable infrastructure for data workloads.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description LRS Consulting Services is seeking a Data Engineer for a Contract-to-Hire/Direct Hire opportunity. This role offers the chance to apply your skills in support of meaningful work for one of our client partners. The successful candidate will contribute to: - Data analysis - Data cleaning - Analytical code They will work as part of multiple small teams on projects that include: - Data-intensive federal government projects focused on public behavioral health - Healthcare research The selected candidate will: - Lead production of high-quality and complex data products - Participate in cross-functional teams in managing data - Produce analytical files - Perform visualization and statistical analysis - Communicate insights Qualifications - Experience with Python - Experience working with Medicare datasets - Experience with Databricks is a plus - Candidate must be able to effectively communicate in English (written & verbal) Requirements - The base range for this contract position is $50.00 - $60.00 per hour, depending on experience. - Our pay ranges are determined by role, level, and location. - The range displayed on each job posting reflects the minimum and maximum target for new hires of this position across all US locations. - Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Company Description LRS Consulting Services has been delivering the highest quality consultants to our clients since 1979. We've built a solid reputation for dealing with our clients and our consultants with honesty, integrity, and respect. We work hard every day to maintain that reputation. LRS is an equal opportunity employer. Applicants for employment will receive consideration without unlawful discrimination based on: - Race - Color - Religion - Creed - National origin - Sex - Age - Disability - Marital status - Gender identity - Domestic partner status - Sexual orientation - Genetic information - Citizenship - Status or protected veteran status In some cases, LRS Consulting uses generative artificial intelligence (“AI”) in support of our hiring processes. LRS takes steps to ensure the use of AI does not result in discrimination based on protected class(es). AI may be used in the hiring process solely in support of the assessment of candidate qualifications. All decisions in the hiring process are made by LRS employees. If AI will be used in the hiring process for the position for which you are applying, you will be notified and will have the opportunity to opt out. If you have any questions, please contact us by clicking here.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are seeking a Principal Data Engineer and Data Governance Lead with deep Snowflake expertise, strong Master Data Management (MDM) skills, and proven experience leading data governance and managing data and reporting teams. This role is central to unifying data across Salesforce, HubSpot, Gong, BigCommerce, LMS systems, and internal delivery platforms, enabling accurate segmentation, forecasting, GTM insights, operational efficiencies, and AI-driven automation. This role owns both the technical data foundation and the governance and people leadership required to make data trustworthy and usable at scale. You will: - Architect robust data pipelines - Establish the enterprise data model - Design AI-ready semantic layers - Lead the data and reporting function - Coach cross-functional teams on data stewardship Teachstone is entering a phase where reliable, unified, and well-governed data is essential to achieving our 2026 goals: - Strengthening profitability - Improving predictability - Expanding digital delivery - Diversifying markets - Deepening customer engagement This role provides the technical, governance, and leadership backbone needed to: - Create and enforce a single source of truth across Growth, Delivery, CS, Finance, and Product - Lead and mature the data and reporting team to deliver consistent, high-impact insights - Establish sustainable data governance practices that scale beyond individuals - Enable advanced reporting, forecasting, and AI-driven decision support - Reduce manual reporting, rework, and operational friction across the organization Qualifications - 10+ years of experience in data engineering, including people leadership or functional leadership of data/reporting teams - 4+ years of hands-on Snowflake experience (RBAC, warehouse design, performance tuning, cost management) - Snowflake certification required - Advanced SQL and proficiency in Python or another data-oriented language - Experience with dbt, Matillion, Fivetran, Airflow, Prefect, or similar tools - Experience leading analytics engineering or enterprise reporting functions - Demonstrated familiarity with semantic layers and AI/ML-enabled analytics - Demonstrated experience designing and leading data governance and MDM initiatives - Strong communication skills with the ability to influence technical and non-technical stakeholders - Comfort operating in a matrixed organization Requirements - Experience in SaaS, education, or services-based delivery environments - Prior participation in enterprise data strategy or governance council Benefits - Fair, Competitive Pay: Equal pay for equal work, using consistent salary bands based on market benchmarks, reviewed annually. - Salary Range: $135,000 - $175,000, determined by your experience, skills and internal equity. - Comprehensive Benefits: Medical/dental, 401(k), PTO, insurance, development opportunities. Details provided at offer. - Eligibility depends on your role and employment status. Company Description At Teachstone, we believe that every interaction shapes a brighter future. If you're passionate about transforming education and want to be part of a team that's committed to meaningful impact, we want to hear from you. Apply today and help us create classrooms where every child thrives! At Teachstone, we encourage all individuals to apply and bring their unique perspectives to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender identity, sexual orientation, protected veteran status, disability, age, or any other characteristic protected by law. We value the different experiences and ideas our team members bring and believe they are essential to solving complex challenges and driving our mission forward.