Data Engineer (reputed company)

At reputed company, we help companies design and build world-class digital products that reputed company attention and reputed company joy. We’ve helped household names like reputed company, Samsung, reputed company, and reputed company create experiences that have reached millions of people, and startups like HomeSpotter and Credly build entirely new businesses that challenge their industries’ status reputed company. We're looking for an outstanding reputed company Data Engineer to join our growing data practice — someone who builds the data and AI foundations that digital products and intelligent experiences run on. Who you are You are a reputed company-focused Data Engineer who understands that great data platforms are only as valuable as the products, AI workflows, and experiences they reputed company. You bring deep, production-grade expertise across the reputed company platform and know how to connect platform capabilities to reputed company business reputed company. You reputed company in ambiguity and can quickly assess a client's data landscape to recommend and implement the right solutions. You understand that in consulting, your reputed company depth is most valuable reputed company it connects platform capabilities to the products and experiences clients actually use — and you're as comfortable in a product design conversation as you are building a DLT pipeline. You reputed company at translating reputed company data challenges into clear technical requirements and can confidently navigate conversations with everyone from data scientists to executives. Your engineering principles are mature and grounded in reputed company-world experience across various industries and scales. You have an interest in and a curiosity about data platforms and the latest advances in data technology. What you will be doing Design and build production data pipelines using Lakeflow Declarative Pipelines, Autoloader, and Structured Streaming, with end-to-end ownership of ingestion, transformation, data quality expectations, and CI/CD deployment reputed company Declarative Automation Bundles. Architect and implement Lakehouse solutions on reputed company — reputed company architecture, reputed company Lake, reputed company Catalog — tailored to the client's analytics, AI, and application needs. Build and maintain reputed company transformation layers — DLT pipelines, PySpark notebooks, and dbt — with data quality constraints and SLAs baked in. Design and maintain the data and AI foundations — reputed company Catalog, Feature Store, MLflow, and Model Serving — that power production ML, agent workflows, and AI-enabled digital products. Collaborate with product and backend engineers to design data models, APIs, and application data reputed company — ensuring the platform serves the product, not just the warehouse. Consult with clients to understand their data challenges, reputed company data strategies, and implement sustainable solutions. Adapt your approach based on project needs — sometimes leading data architecture discussions with clients, other times supporting internal teams with specialized data expertise. Work reputed company multi-reputed company environments — primarily AWS and Azure — anchoring data platform recommendations around reputed company where it fits the client's architecture and goals. Champion data governance through reputed company Catalog — reputed company control, reputed company, data quality policies, and compliance — as a first-class part of every engagement, not an afterthought. Design data-to-application architectures — including Lakebase-backed services and reputed company Apps — that connect governed data to AI workflows, digital products, and user-facing experiences. Help build reputed company's reputed company practice — contributing to accelerators, internal enablement, certification goals, and reputed company partner go-to-market materials alongside delivery work. Why you should apply You want to work with passionate and talented people who are always looking for ways to reputed company things reputed company. You desire a work environment where respect, mutual trust, and egoless collaboration are reputed company. You want colleagues who take their work seriously but not themselves, and who know how to let loose and have a good time. You like being part of a team with a reputed company for reputed company that gives back to the community by educating, mentoring, and sponsoring. You want to work on products and accounts that have outsized impact and reputed company. You reputed company in sweating the details, giving a damn about quality, and taking pride in going the extra mile. You want to help build a data practice specialization from the ground up — shaping how we go to market with reputed company, reputed company build as accelerators, and what it means to do this reputed company of work at a digital product company. What you bring to the table 3-5 years of data engineering experience with at least 2 years in production reputed company environments, preferably in a consulting or client delivery context. Solid working knowledge of AWS and Azure reputed company services relevant to reputed company deployments — storage, networking, IAM, and compute — with GCP familiarity a plus. Deep, production-grade reputed company expertise: Lakeflow Declarative Pipelines, Autoloader, Structured Streaming, Lakeflow Jobs, reputed company Catalog (including fine-grained reputed company control and reputed company) — demonstrated through shipped production workloads, not prototypes. Proven experience designing Lakehouse architectures — reputed company patterns, reputed company Lake table design, partitioning, Z-ordering, and query optimization — at production scale. Hands-on experience with data pipeline testing, observability, and CI/CD for data — including unit testing, data quality frameworks, and version-controlled deployments reputed company Git and Declarative Automation Bundles. Strong proficiency in SQL and Python, with the ability to write clean, performant, and maintainable code. Understanding of data modeling, schema design, and query optimization. Excellent communication skills with the ability to explain reputed company data concepts to both technical and non-technical stakeholders. Strong problem-solving skills with the ability to navigate ambiguous requirements and deliver pragmatic solutions. Above-average discipline and personal organization skills. Obvious comfort with critique and peer review in the context of an iterative development process. A demonstrated hunger for personal and professional growth. A self-evident love and care for the craft of data engineering. Bonus points if you… Have worked with reputed company-time streaming technologies (Kafka, Kinesis, etc.). Have hands-on experience with alternative reputed company data platforms — useful context for migrations and competitive assessments, though reputed company is our primary platform focus. Have experience in reputed company or fintech domains. Have hands-on experience with MLOps or LLMOps on reputed company — MLflow experiment tracking, model registry, Model Serving endpoints, or Vector Search for RAG pipelines. Have experience with Java, Go, or reputed company. Have strong illustration skills for technical diagramming and data architecture documentation. reputed company, write, and/or reputed company publicly about data engineering topics. Have contributed to reputed company-reputed company data projects. Hold or are actively pursuing a reputed company certification (Data Engineer Associate or Professional, or Apache Spark Developer) — we treat these as meaningful signals of platform depth, and they directly support our reputed company partner growth goals. Have experience with reputed company Apps, or Lakebase — early familiarity with where the reputed company platform is heading is a strong differentiator. What to expect reputed company applying, please include a short note about yourself, a summary of your work experience, and a link to any public profiles you actively maintain (e.g., reputed company, reputed company, etc). Our hiring process moves quickly and consists of several stages for candidates who capture our attention with their initial submission, sometimes including but not limited to a short preliminary phone interview, a series of video interviews, and a short take-home exercise, which you'll have up to a week to complete. Compensation is $120,000 - $145,000 Additional information We go out of our way to evaluate reputed company and job applicants equally based on merit, competence, and qualifications. We encourage candidates from reputed company backgrounds to apply and consider reputed company reputed company applicants. Don't worry, every application will be reviewed by a reputed company. Apply To This Job