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Job DescriptionDescription: Hybrid 4 days on-site in Jersey City in Jersey City, NJ Our client seeks a senior back-end engineer to build scalable data services in Java and modernize critical custody systems. The role requires expertise in Spring-based microservices, distributed cloud services, and distributed data platforms. You will collaborate with product, quality, and cross-functional teams to solve design and architectural challenges and leverage open-source technologies. We can facilitate w2 and corp-to-corp consultants. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $90.00 to $85.00/hr. w2 JN -042026-106337 #LI-JS1 Responsibilities: • Design and develop scalable back-end data services using Java frameworks., • Work within Agile methodology and share software development best practices with the team., • Collaborate with product owners, quality engineers, and cross-functional teams to deliver solutions and resolve design and architectural challenges., • Leverage open-source technologies to meet business needs., • 12+ years of software development experience., • Proven commercial experience with Java., • Strong knowledge of Spring, Spring Boot, Lombok, JUnit, and Swagger., • Experience building microservices., • Experience with distributed cloud services, preferably Azure., • Experience with distributed data technologies such as Kafka, MQ, or Spark., • Experience designing and integrating REST and GraphQL APIs., • Working knowledge of relational and in-memory databases including Oracle and Redis., • Familiarity with Angular (preferred)., • Hands-on experience with Snowflake (preferred)., • Proficiency in an additional programming language such as Python, C++, or Groovy (preferred)., • Experience with CI/CD tools such as Jenkins, Harness, Ansible, and Docker (preferred). W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. If anyone reaches out to you about an open position connected with Eliassen Group, please ensure that you are working directly with us by confirming the following: · When you work with Eliassen Group, all email communication will come from an Eliassen.com address, never Gmail, Yahoo, etc. · Eliassen Group will never ask you for personal information (home address, bank account, or check routing number) until you have worked with someone clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact . About Eliassen Group: Eliassen Group is a strategic consulting firm that helps organizations reach further and achieve more through our technology, business advisory, and life sciences solutions. For nearly 40 years, we have combined exceptional people, deep domain expertise, and intelligent capabilities to expand our clients’ capacity and accelerate meaningful outcomes. We are driven by a purpose to positively impact the lives of our employees, clients, consultants, and the communities we serve. Eliassen is committed to building a diverse and inclusive team from a variety of backgrounds, perspectives, and skills. We are an Equal Opportunity and Affirmative Action Employer and all employment decisions are based on merit, performance, and business needs. Eliassen does not discriminate on the basis of race, color, gender identity or expression, sexual preference or orientation, sex (including pregnancy, childbirth, and related medical conditions), marital status, creed, religion, physical or mental disability, genetic information, military or veteran status, age, ancestry, national origin, citizenship status, prohibited criminal record inquiries of applicants and employees, or any other category protected by federal, state, or local laws. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionCompany Description On-Site 1yr contract $10950/month About the Role We are seeking a Senior Generative AI Engineer to design, build, and deploy production-grade AI applications powered by large language models (LLMs). In this role, you will lead the end-to-end development of Generative AI solutions, including LLM-powered applications, retrieval-augmented generation (RAG) systems, agentic workflows, model evaluation pipelines, and production infrastructure. You will work cross-functionally with product, finance, data, and business stakeholders to translate real-world business problems into scalable AI systems that deliver measurable value. Job Description • Design and develop algorithms for generative models using deep learning techniques, • Design and build LLM-powered applications for internal and/or customer-facing use cases, • Develop and productionize RAG pipelines using enterprise data sources, vector databases, and retrieval systems, • Build and optimize AI agents / agentic workflows for task automation, reasoning, and orchestration, • Integrate model providers such as OpenAI, Anthropic, Azure OpenAI, AWS Bedrock, and open-source models where appropriate, • Create robust evaluation frameworks for response quality, factuality, latency, safety, and reliability, • Implement prompt engineering, structured outputs, tool calling, and model optimization strategies, • Deploy scalable AI services to cloud environments using modern software engineering and MLOps practices, • Build monitoring, observability, and feedback loops for model and application performance in production, • Establish and maintain guardrails, responsible AI practices, and security controls for enterprise AI systems, • Collaborate with product managers, designers, and business stakeholders to identify high-impact AI opportunities, • Mentor other engineers and contribute to architecture, technical direction, and engineering best practices Qualifications • Bachelor’s degree in Computer Science, Engineering, Machine Learning, or a related field, • 5+ years of software engineering, machine/deep learning engineering, or applied AI experience, • 2+ years of hands-on experience building and deploying Generative AI / LLM-based systems in production, • Strong programming skills in Python and experience with backend/API development, • Experience with LLM application development, including prompt engineering, RAG, tool use, and structured output design, • Experience in optimizing RAG pipelines using both structured and unstructured data, • Experience with orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or equivalent, • Experience in generative AI techniques such as GANs, and VAEs, • Hands-on experience with vector databases / retrieval systems such as Pinecone, Weaviate, Chroma, FAISS, Elasticsearch, or Azure AI Search, • Experience with cloud platforms such as AWS, GCP, or Azure, • Experience with Docker, Kubernetes, CI/CD, and production deployment practices, • Strong understanding of software architecture, scalability, reliability, and distributed systems, • Experience building evaluation, testing, and monitoring for AI systems, • Strong communication skills and ability to work closely with technical and non-technical stakeholder Preferred Qualifications • Experience fine-tuning or adapting open-source LLMs, • Advanced knowledge of natural language processing for text generation tasks, • Experience with PyTorch, TensorFlow, JAX, or related ML frameworks, • Experience with MLOps tools such as MLflow, SageMaker, Vertex AI, Azure ML, Kubeflow, or similar, • Experience building multi-agent systems or advanced orchestration workflows, • Experience with AI safety, guardrails, red-teaming, privacy, and governance, • Familiarity with search, ranking, recommendation, conversational AI, or enterprise knowledge systems, • Experience in customer-facing or enterprise SaaS products, • Experience in semiconductor/manufacturing, retail and e-commerce sectors Additional Information All your information will be kept confidential according to EEO guidelines.

Job DescriptionJob Description Summary – AI Optimization Engineer (Onsite, Jersey City, NJ) We are seeking an experienced AI Optimization Engineer to support large-scale AI/ML and Generative AI workloads for an enterprise environment. This role focuses on optimizing, deploying, and managing machine learning and large language models (LLMs) on GPU-accelerated HPC infrastructure. The ideal candidate will have strong experience in Python-based machine learning, deep learning frameworks, model optimization techniques, and scalable AI infrastructure. The engineer will work closely with AI, infrastructure, and DevOps teams to design efficient model training and inference pipelines, implement SLURM-based workload orchestration, and deploy containerized ML solutions in production environments. Responsibilities include optimizing model performance using techniques such as pruning, quantization, and knowledge distillation, managing inference workflows using Triton Inference Server, and monitoring system performance using Prometheus and Grafana. This role requires hands-on experience with HPC environments, GPU clusters, containerization technologies, and Linux system administration, along with strong knowledge of machine learning algorithms, deep learning architectures, and modern AI development tools. Experience with cloud platforms, vector embedding, and enterprise-scale AI deployments is highly preferred. Core Responsibilities * Design and optimize AI/ML workloads on GPU-based HPC clusters. * Deploy and manage large language models (LLMs) in scalable production environments. * Implement model optimization techniques including pruning, quantization, and knowledge distillation. * Develop and manage automated job scheduling using SLURM with REST and Flask APIs. * Deploy ML models using containerized microservices architectures. * Monitor system performance using Prometheus and Grafana. * Optimize inference pipelines using Triton Inference Server and TRTLLM. * Conduct exploratory data analysis and model performance evaluation. * Collaborate with infrastructure and ML teams to improve scalability and efficiency. Skills Required The AI Optimization Engineer must have strong experience in Python-based machine learning and deep learning, including NumPy, scikit-learn, TensorFlow, PyTorch, and Keras, with hands-on knowledge of supervised and unsupervised learning, neural networks, transformer-based models, NLP, CNNs, and Generative AI concepts. The role requires expertise in AI infrastructure and optimization, including HPC environments, GPU clusters, SLURM workload management, Triton Inference Server, TRTLLM, and model optimization techniques such as pruning, quantization, and distillation for scalable LLM deployment. Candidates should also have experience with DevOps and deployment tools such as Docker, Kubernetes, MLFlow, Terraform, Jenkins, GitHub, and HuggingFace, along with strong skills in performance monitoring using Prometheus and Grafana. Additional requirements include Flask API development, Linux administration (RHEL/CentOS), container runtimes like Enroot, Pyxis, and Podman, and experience with data analysis and visualization tools such as Plotly, Seaborn, and Matplotlib.

Job Description ELLKAY started out providing connectivity solutions to laboratories and within a few years, grew to also provide data management solutions to ambulatory organizations. ELLKAY is now a trusted data management partner in five healthcare segments. ELLKAY’s solutions continue to serve laboratories and ambulatory practices and have expanded to empower hospitals and health systems, healthcare IT vendors, ambulatory practices, health plans, and other healthcare organizations with cutting-edge technologies and solutions that drive their growth and interoperability strategies. Today, ELLKAY remains true to our core values, building strong partner relationships and offering unparalleled service and support while providing innovative, scalable solutions to the challenges our customers face in today’s data-rich world. ELLKAY's experience, customer-focused approach, and reputation for innovation, speed, and accuracy differentiate ELLKAY as a premier partner for your interoperability needs and data management strategy. Job Description: We are looking for an Application Site Reliability Engineer (SRE) with strong DevOps experience to improve the reliability, scalability, and performance of our applications. The Application Site Reliability Engineer will serve as a technical contact responsible for driving the reliability, performance, and operational maturity of our application ecosystem. This role works across multiple teams to support scalable systems, establish reliability standards, improve observability, and implement automation that reduces operational effort. The SRE will lead complex incident responses, work with engineering teams in best practices, and influence architectural decisions to ensure resilient, high-quality software delivery. You will help define reliability standards, reduce operational toil, and ensure smooth production operations while enabling faster and safer releases. Essential Duties & Responsibilities: • Own application reliability, availability, performance, and scalability in production and non-production environments, • Design, build, and maintain CI/CD pipelines for application deployments, • Automate infrastructure provisioning and configuration using Infrastructure as Code, • Monitor application health using metrics, logs, and traces; define SLIs, SLOs, and error budgets, • Lead incident response, root-cause analysis (RCA), ensuring corrective and preventive actions are completed and communicated., • Improve system resilience through capacity planning, system tuning, and fault tolerance, • Partner with development teams to ensure services meet reliability, performance, and scalability objectives., • Reduce manual operational effort through automation and self-healing solutions, • Strong experience as an SRE, DevOps Engineer, or Production Support Engineer, • Solid understanding of Windows, Linux/Unix systems and networking fundamentals, • 7 years of experience as an SRE, • Hands-on experience with cloud platforms such as AWS, Azure, or GCP, • Experience with containerization and orchestration tools like Docker and Kubernetes, • Proficiency in CI/CD tools such as Jenkins, GitHub Actions, , or similar, • Experience with Infrastructure as Code tools like Terraform, CloudFormation, or ARM, • Strong scripting skills in Python, Bash, or similar languages, • Experience with monitoring and observability tools (Prometheus, Grafana, ELK, Datadog, etc.), • Experience supporting microservices-based architectures, • Knowledge of security best practices in cloud and DevOps environments, • Experience with configuration management tools (Ansible, Chef, or Puppet), • Strong problem-solving and troubleshooting skills, • Ability to work calmly during incidents and high-pressure situations, • Clear communication and collaboration with cross-functional teams, • Opportunity to work on highly available, business-critical applications, • Collaborative engineering culture with strong DevOps and SRE practices, • Competitive compensation and benefits ELLKAY offers a comprehensive and competitive benefit package that starts day one! Including: • Medical, Dental, and Vision benefits, • Employer-paid Life and LTD, • 401k w/ matching – once eligibility is met, • Work/life balance, • Paid Volunteer Program, • Flexible working hours, • Generous FTO, • Remote work options, • Employee Discounts, • Working with talented, collaborative, and friendly people who love what they do, • Professional growth within, • Innovation environment At ELLKAY, we are committed to operating as a hybrid workplace, offering employees flexibility in how they structure their time between in-office and remote work. We recognize the significance of fostering connections, collaboration, and creativity within our office culture and its positive impact on our business. Our philosophy of operating as a hybrid workplace underscores our dedication to enabling employees to tailor work-life balance to their individual preferences. For those who do not live within 40 miles of one of our offices, we are open to considering remote work for candidates whose skills and experience strongly align with the role. While we prioritize a hybrid work environment for most roles, we understand the importance of flexibility and are open to remote work for specific positions and specialized skill sets. For more information on our company, visit . ELLKAY LLC is a Smoke-Free Workplace. ELLKAY, LLC provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

Job DescriptionThe Opportunity:The Implementation Engineer is responsible for the hands-on technical deployment, configuration, and validation of SPHEREboard within enterprise client environments. Working closely with the Implementation Manager, project stakeholders, and customer IT/security teams, this role ensures the successful integration of SPHEREboard with client infrastructure, identity systems, and data sources. This position requires strong technical troubleshooting skills, experience interacting directly with clients, attention to detail, and an understanding of enterprise security and identity governance ecosystems. Key Responsibilities:1. Deployment & Configuration • Install, configure, and validate SPHEREboard components, including connectors, agents, and data collectors., • Integrate SPHEREboard with Active Directory, Azure AD, Okta, LDAP, cloud platforms, and data repositories., • Execute technical implementation tasks according to project timelines and requirements., • Validate proper data ingestion, normalization, and visualization within SPHEREboard.2. Technical Discovery & Requirements Gathering, • Collaborate with the client and internal teams to collect technical and security requirements., • Analyze existing infrastructure and identify integration points with SPHEREboard., • Document all environmental configurations and technical assumptions.3. Troubleshooting & Issue Resolution, • Diagnose and resolve deployment issues related to network access, authentication, data pipelines, and connector configurations., • Work with Engineering and Product teams to escalate and resolve complex technical problems., • Implement solutions with a security-first mindset and in compliance with client policies.4. Documentation & Knowledge Sharing, • Create and maintain technical documentation for each deployment, including environment details, integration steps, and validation results., • Contribute to internal knowledge bases, deployment guides, and reusable scripts., • Provide feedback to Product and Engineering on platform usability and deployment challenges.5. Collaboration & Support, • Work under the direction of the Implementation Manager to execute scoped tasks and report status., • Participate in internal stand-ups, client check-ins, and retrospectives., • Support training and knowledge transfer to customer administrators’ post-deployment. Why Join Us:, • Deployment quality and accuracy (e.g., data integrity, connector success rate)., • Time-to-completion of assigned implementation phases., • Client satisfaction with technical execution., • Frequency and resolution time of escalated technical issues., • Adherence to internal processes, documentation, and quality standards. About Sphere:SPHERE is a leading innovator in Identity Hygiene/Intelligence space, helping global enterprises reduce risk, ensure compliance, and achieve security maturity. We work closely with an ecosystem of technology partners, integrators, and alliances to deliver solutions that protect what matters most — people, data, and trust. To find out more about SPHERE and our solutions, please visit SPHERE is an equal-opportunity employer. Applicants will be evaluated without regard to race, color, religion, sex, national origin, disability, veteran status, and other legally protected characteristics. Powered by JazzHR to2bcoz78S

Job Description Sourgum is transforming the $100B+ waste and recycling industry through cutting-edge technology that makes waste removal simpler, smarter, and more cost-effective. Our innovative haulsourcing platform powers high-quality waste and recycling services for businesses at significantly lower costs—saving our customers an average of 20%. Leveraging proprietary datasets, an advanced operating system, and a carefully curated network of 5,000+ trusted vendors, we help companies of all shapes and sizes streamline their operations while advancing sustainability efforts. We’re a fast-growing, venture-backed company (just closed our Series A!) on a mission to modernize an outdated industry — and we’re just getting started. Our investors include Spark Capital, Founder Collective, Suffolk Technologies, 186 Ventures, and River Park Ventures, the same funds that backed category-defining companies like Slack, Anthropic, Uber, Venmo, and Amazon Pharmacy. If you’re driven by the opportunity to build something groundbreaking, we’d love to meet you. As an experienced engineer, you will help build our core SaaS platform by working with a small but rapidly growing team to develop, maintain, and deliver this innovative platform. Guided by the roadmap, you will ensure on-time, on-budget software delivery and help grow and mentor our team. Your experience will include recent experience architecting solutions using Typescript/Node or Go microservices. Key Responsibilities * The delivery of architecture, design, and implementation of cloud SaaS solutions based on business requirements * Development and maintenance of the software platform. Align the results with the requirements of the appropriate stakeholders * As a Senior Software Engineer, you will play a crucial role in our team, working closely with the head of engineering and product managers, business unit leaders, and stakeholders. Your responsibilities will include managing engineering, determining team resourcing, and demonstrating your leadership skills and ability to work collaboratively. * As a Senior Software Engineer, you will be a key stakeholder in our product engineering. Your contribution will be instrumental in the success of our software solutions, as you will translate business requirements into technical specifications for our engineering team to design and implement. Requirements Technical Skills * 9+ years of hands-on in professional software development * 9+ years of experience working with relational databases (MySQL, PostgreSQL, Aurora, etc.) * Strong understanding of data structures, indexing, and searching required * Ability to integrate with Elasticsearch and run queries/reports * 3+ years of experience building microservices * 3+ years’ experience working with AWS-based services including S3, SQS, SNS, DynamoDB, Lambda, Redshift * Experience with Kafka and other technologies * Can apply principles of Test-Driven Development * Experience with writing test cases * Able to write build scripts * Experience with Kubernetes and Terraform * Experience with version control systems, CI/CD pipeline tools, workflow tools, Jenkins, etc. * Experience integrating applications with Redis/Memcached a plus Nice to Have Skills * Experience with Flutter * Development of mobile and tablet devices * AI/Machine Learning experience a plus * Experience with Big Query and Metabase * Experience developing Vertical SaaS ERP Software Personal Skills * A passion for building software and streamlining process issues * Demonstrate tenacity when solving challenging problems in a deadline-driven environment * Experience with Scrum/Agile Methodologies * Ability to lead a team, as well as a roll-up-the-sleeves mentality to work well as part of a team * Able to be self-motivated and work independently as needed to solve complex problems * Taking pride in work and desire to make projects succeed Benefits * Company stock options as part of your compensation package, giving you the opportunity to share in our company's success and build long-term financial growth. * A positive and collaborative work environment with a focus on innovation and sustainability. * Flexible/Unlimited PTO * Comprehensive benefits package including health insurance (medical, dental, vision, LTD, Life Insurance, etc.), retirement plans (401K). * Access to hundreds of gyms, studios, and wellness apps—all through one easy membership provided by your Wellhub. * Yearly Personal Development Budget * Opportunities for professional development and career advancement within a growing company. Compensation Range: $170K - $210K

If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Python experience for data engineering or automation. You will play a critical role in sh

This remote role involves collaborating with account teams to assess customer data center environments and design tailored infrastructure solutions. A leading IT solutions provider is looking for a Solutions Engineer - Enterprise in New Jersey.

If you’re passionate about building modern data platforms, working with large-scale cloud data systems, and applying data engineering best practices in a regulated healthcare environment, we’d love to talk. Salesforce, application databases, and external client data. Partner closely with Analyti

A leading data intelligence firm is seeking a cloud infrastructure engineer who can automate services and enhance cloud functions. You will upgrade the cloud infrastructure to improve scalability and reduce operational work.

A prominent IT solutions provider is seeking a Solutions Engineer – Enterprise to drive infrastructure solutions and technical relationships.

This fully remote position requires over 5 years of experience in data engineering, proficiency in Python and SQL, and familiarity with cloud-based data storage solutions like AWS and GCP. A leading global media company in New York is seeking a Senior Data Engineer to lead the design and implementat

You'll Be a Great Fit If You…Have 3+ years of hands-on experience in cloud data engineeringCan work in Azure, AWS, GCP, Snowflake, or Databricks (one or more)Know your way around Python, PySpark, or ScalaHave worked with ETL or data integration tools like Fivetran, Talend, Informatica, or DBTEnjoy

A premier cloud services provider is seeking a candidate for a remote position focused on leading cloud-native data platform implementations. The ideal candidate has a strong background in AWS, Snowflake, and Python, with experience in managing enterprise data infrastructures and leading data migrat

A dynamic technology company is seeking a Cloud Data Engineer to architect scalable solutions that connect data to real-world business outcomes. Ideal candidates will have hands-on experience in cloud data engineering, proficiency in key programming languages, and a desire to build impactful data sy

Pearson is looking for a Data Engineer to design and maintain cloud-native data pipelines in Hoboken, NJ. The role involves collaborating with various teams, ensuring data quality, and applying data governance standards. Candidates should have expertise in AWS services, data engineering practices, a

Background in mentoring or leading small engineering teams. Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineerin

In this role, you will own key parts of our data architecture, build reliable data pipelines, and partner closely with product, engineering, and analytics teams to turn raw data into decision-driving insights. Provide technical guidance to help Data Engineering evolve access to data platform. Senior

Own de‑identification pipelines for ads reporting end‑to‑end—from separating sensitive and non‑sensitive data, applying de‑identification techniques and transformations, and generating privacy‑preserving datasets, to validating data utility and feeding reporting and analytics surfaces.

Real-world expertise is turned into training data, evaluations, and feedback loops that improve how models perform. Experts contribute directly to how AI systems learn, reason, and perform across domains like finance, healthcare, engineering, and more. Write clean, efficient, and well-documented cod

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. Veeva is looking for a Software Engineer in Test who is passionate about quality and automation. Engineer Perspective: 3 Reasons to Consider Veeva.

Conduct proof-of-concepts (PoCs) to validate cloud services, tools, and architectural patterns. Maintain comprehensive architecture documentation and deliver knowledge transfer to operational and engineering teams. Ensure all designs comply with enterprise architecture and cloud industry standards.

While analytics infrastructure is the core focus, you'll also engage with the broader application data infrastructure, contributing your data pipeline expertise to support product and engineering needs. While analytics is the primary focus, you'll bring broad data pipeline expertise to application d

Develop and implement automation for data governance, quality checks, and compliant data masking/anonymization processes, helping to secure data consumption by internal and external teams. Expertise with relational and NoSQL databases, data warehousing concepts, and data modeling. Our Data Engineeri

We’re looking for a Senior Data Engineer II to join ActBlue’s Data Department and contribute to building and evolving the data products that power our platform. Design, build, and maintain scalable, reliable, and secure data pipelines using Python, with a focus on enabling data access and insigh

The Data Warehouse Infrastructure team is responsible for the foundational big data infrastructure, which is used by hundreds of engineers to collect, manage, and analyze data at scale. Architect, design, and implement Airbnb's next-generation big data compute platform to support data ETL, analytics

We're looking for someone who shares our passion for data engineering and wants to make a significant impact by turning complex financial data into actionable insights. Develop our comprehensive data processing pipeline transforming on-premises Kafka streams into both actionable business insights an

You’ll contribute to a major platform modernization effort, including migrating the data lake to new underlying data formats, re-architecting high-scale ingestion patterns, and building mechanisms that enable AI/ML use cases on top of the data lake. Partner with engineering teams across Dropbox to

Develop scalable data ingestion and processing pipelinesImplement large-scale data ecosystems within cloud-based platforms that include data management and data governance of structured and unstructured data. Experience with data cleaning and data modeling while protecting sensitive data. At least 2

As a Senior Data Engineer, you’ll play a key role in scaling and improving how we integrate and process customer data. Create robust ETLs in PySpark and DBT to process billions of records from customer datasets, ensuring data is accurate, reliable, and ready for downstream use. Collaborate with pr

Implement modern data engineering solutions using technologies such as Python, SQL, dbt, Airflow, Snowflake, Tableau, Power BI, AWS data services, containerization (Docker/Kubernetes), and related cloud-native tools. We are seeking a highly motivated Data Engineer who will play a key role in the de

Foundational understanding of data warehousing and ELT concepts; interest in data engineering best practices (version control, code review, testing). Provide timely, well-documented responses to data questions from stakeholders across Engineering, Marketing, Business, Data Science, and Analytics, es

We are looking for a Senior Data Engineer to join our Data team to execute the implementation of a new data architecture. As a Senior Data Engineer on our Data team, you will:. Develop the data foundations for AI features, focusing on structured metadata, governance, and high-fidelity source data.

This role is critical to building, maintaining and improving our data infrastructure, ensuring that our data pipelines are robust, efficient, and capable of delivering high-quality data to both internal and external stakeholders. As a key player in our data team, you will have the opportunity to mak