Senior Snowflake Data Engineer
Responsibilities The Senior Snowflake Data Engineer with Administration Experience will be responsible for the design, development, deployment and optimization of data pipelines and will also play the role of backup Snowflake admin. In this role, you will: The Senior Snowflake Data Engineer will split responsibilities between hands-on data engineering (pipeline development, data modeling, performance tuning) and backup platform administration (RBAC, cost optimization, backup recovery). They will work closely with Product Owners, Data Engineers, Architects, and Scrum/Kanban teams to ensure alignment with platform performance standards, security requirements, architectural designs, and Agile delivery expectations. Qualifications Required Qualifications: Minimum of 12 years with BS/BA; Minimum of 10 years with MS/MA; Minimum of 7 years with Ph.D. 7+ years of overall tech experience as Snowflake/Java/Python/ETL Developer and 2+ year of Snowflake Administration Ability to work independentl
Data EngineeringSnowflakeSenior Data Engineer
Data Engineer - AI Coding Expert - AI Trainer
About the job Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark , General Catalyst , Peter Thiel , Adam D'Angelo , Larry Summers , and Jack Dorsey . Position: Data Engineer (Coding Agent Experience) Type: Contract Compensation: $80/hour Location: Remote Role Responsibilities Use frontier AI coding agents to complete and evaluate complex data engineering tasks. Review model-generated implementations involving ETL pipelines , data warehouses , analytics platforms , and distributed data systems . Identify bugs, edge cases, scalability issues, and failure modes in model outputs. Compare outputs from multiple frontier models and assess their strengths and weaknesses. Apply professional engineering judgment to realistic data engineering scenarios. Qualifications Must-Have 2+ years of professional data engineering experience. Experience building ETL pipelines , data warehouses , analytics platfor
Data ScienceData EngineeringAI Training
Data Engineer (Data Pipelines & RAG)
Our client is a fast growing Property Tech AI company About the role They are seeking a versatile Data & AI Engineer to build, deploy & maintain end-to-end data pipelines for downstream Gen AI applications. You'll design data models and transformations, build scalable ETL/ELT workflows, while learning fast and working on the AI agent space. Key Responsibilities Data Modeling & Pipeline development Automate data ingestion from diverse sources (Databases, APIs, files, Sharepoint/ document management tools, URLs). Most files are expected to be unstructured documents with different file formats, tables, charts, process flows, schedules, construction layouts/drawings, etc. Own chunking strategy, embedding, indexing all unstructured & structured data for efficient retrieval by downstream RAG/agent systems Build, test, and maintain robust ETL/ELT workflows using Spark (batch & streaming) Define and implement logical/physical data models and schemas. Develop schema mapping
Data EngineeringETL ELT DevelopmentRAG Pipeline Engineering
Senior Product Manager, Developer Productivity
At Webflow , we’re building the world’s leading Agentic Web Marketing Platform, and we’re doing it as a remote-first company built on trust, transparency, and a whole lot of creativity. This work takes grit, because we move fast, without ever sacrificing craft or quality. Our mission is to bring development superpowers to everyone. We believe the future of the web — and work — is more open, more creative, and more equitable. And we’re here to build it together. We’re looking for a Senior Product Manager to partner with the Developer Productivity engineering team on the systems that make every Webflow engineer faster, more confident, and more effective. This team owns the developer experience end-to-end: CI/CD, build systems, internal tooling, developer environments, observability, and the feedback loops that tie it all together. The work is foundational — the kind of platform investment that compounds quietly and shows up in every team’s velocity. You’ll be the person who keeps it mov
Senior Product ManagerDeveloper ProductivityPlatform Product Management
Executive Assistant to CEO
This isn’t your typical EA… Are you energized by chaos—yet quietly love bringing order to it? Do you spot what’s about to break before anyone else, and fix it—without being asked? Are you a behind-the-scenes operator who leaves your ego at the door, rolls up your sleeves, and finds reward in making others shine? If so, you might be the next Wrangler for Matt Mullenweg , founder of Automattic (the folks behind WordPress.com , Tumblr , Woo , and more). Wait, what’s a Wrangler? You’re not just assisting. Wranglers are Matt’s force multipliers: a tight-knit, two-person (soon three) team who quarterback priorities, intercept chaos, and make the impossible look effortless. You’ll help Matt—and Automattic —move at lightspeed, smoothing logistics, triaging demands, and solving problems nobody else even sees. What You’ll Really Do Partner with Matt and the Wranglers team as a trusted, behind-the-scenes operator. Triage priorities, block distractions, and quietly make things run seamlessly—cale
Human ResourcesManagementExecutive Assistant
ICF Incorporated, LLC: Senior Software Engineer (Multiple Positions) Reston, VA.
ICF Incorporated, LLC: Senior Software Engineer (Multiple Positions) Reston, VA. DUTIES: Apply computer science, software engineering, databases, and distributed/parallel processing frameworks to prepare big data for the use of scoring and scoring results. Work on projects that support the Centers for Medicare and Medicaid Services (CMS) as we develop and support the collection of data and scoring results associated with clinicians. Use Spark to build data processing pipelines that derive information from large sets of government data that will ultimately allow for the scoring of clinicians’ work according to CMS standards. Develop, modify, run, and test Spark applications using Scala APIs and Spark SQL to process and perform aggregation on data stored in Postgres, Redshift and S3 Parquet files. Develop extract, transform, and load (ETL) processing routines and data engineering pipelines, creating necessary data structures and data models to support data at all stages. Work with UI, U
Senior Software EngineerSoftware EngineeringData Engineering
Data Engineer
Job Description: Data Engineer needed for Planet Equity Group located in Westlake, OH. Perform data engineering tasks, including data modeling, data pipeline development, and cube development. Work with relational databases, including schema design, queries, views, store procedures, and performance optimization. Data governance and master data management. Build data pipelines that execute ETL/ELT processes to move and integrate data between data sources Conduct DevOps activities, including code reviews, testing, alerting, documenting, retrospectives, incident analysis. Work with Azure's core data and analysis services, including Data Factory, Synapse Analytics, Data Explorer, Power BI, etc. Build data warehouses, including the use of ETL/ELT, SQL, Data Lake, Spark, Azure Synapse, Databricks, tabular cubes. Will provide services to client located through the U.S. Requires a Bachelor’s degree in Computer Science or a related field. No prior professional experience is required; however,
Data ScienceData EngineeringETL Development
Senior Data Warehouse Engineer
Overview We are seeking a Senior Data Warehouse Engineer to join our team and work closely with clients to develop, optimize, and scale enterprise-grade data platforms, warehouses, and pipelines. We are looking for more than just a “Senior Data Warehouse Engineer,” but a highly skilled data technologist with strong communication and problem-solving abilities who thrives in cloud-based environments. Contributions Key Responsibilities: Lead and architect the migration of data environments with a focus on performance, reliability, and scalability. Design, implement, and optimize data warehouse solutions, ensuring best practices in data modeling, storage, and retrieval. Ability to examine and understand complex data pipelines. Assess, document, and analyze data sources, ETL workflows, and business intelligence tools. Address technical inquiries related to data warehouse customization, integration, and enterprise architecture. Develop and maintain robust data pipelines and ETL processes to
Data EngineeringData WarehousingCloud Data Engineering
Data Engineer
Title: Data Engineer — Remote (US) Location: Remote — United States Employment type: Contract (6–12+ months) Indicative rate: $75–$100/hr Role Summary We are hiring a data engineer to build and maintain scalable data pipelines, warehouse models, and analytics-ready datasets. You will work with engineering and analytics teams to improve data quality, lineage, and reliability. Remote within the United States. Responsibilities Design, build, and operate ETL/ELT pipelines from operational and SaaS sources Develop batch and streaming workflows using Python, SQL, and cloud data services Model data in a warehouse/lakehouse (e.g. Snowflake, Databricks, or BigQuery) Implement data quality checks, monitoring, and incident response for pipelines Collaborate with analysts and data scientists on curated marts and metrics Document pipelines, schemas, and SLAs; support CI/CD for data code Optimize performance, cost, and security (IAM, encryption, PII handling) Required Qualifications 4+ years in dat
Data ScienceData EngineeringAnalytics Engineering