[Remote] Senior Data Engineer

Note: The job is a remote job and is open to candidates in USA. Fuel Cycle empowers leading organizations with agile research solutions that deliver decision-ready insights. They are seeking a Senior Data Engineer to design and build the Databricks-first data lake and pipeline infrastructure essential for future AI products.

Responsibilities

• A multi-tenant data lake and warehouse that unifies all research data — surveys, qualitative feedback, CRM, media transcripts, and more — in a structured, AI-consumable format
• Tenant-isolated data architecture where enterprise client data is structurally separated at the storage and query layer
• Provenance-aware data models where every data point carries full traceability back to its source
• Batch ingestion pipelines that migrate and continuously sync data from existing relational databases and cloud storage into the new lake architecture
• A nightly profile enrichment pipeline that rebuilds living user profiles from all data sources within each client account
• Data access layers serving AI agents via MCP, qualitative search via RAG pipelines, statistical computation tools, REST APIs, and bulk export

Skills

• 5+ years of deep, hands-on experience building production lakehouses on Databricks
• You write clean PySpark and Python, model data thoughtfully, and know how to build for a multi-tenant SaaS environment
• Deep production experience across the Databricks platform including Unity Catalog, Delta Live Tables, Databricks SQL, and Workflows
• Delta Lake as a production table format — ACID transactions, schema evolution, performance optimization, and multi-tenant governance via Unity Catalog
• Experience building and maintaining dbt transformation projects using the Databricks adapter in a production environment
• PySpark for large-scale data transformation and batch pipeline authoring
• Strong understanding of batch ingestion pipeline design — migrating from relational sources like MySQL and PostgreSQL into a lakehouse architecture
• Experience with a modern pipeline orchestrator such as Dagster, Prefect, or Databricks Workflows; Dagster experience is a strong positive
• Familiarity with vector databases, embedding pipelines, and RAG patterns for AI workloads — using tools such as Databricks Vector Search, pgvector, or Amazon OpenSearch
• Exposure to AI agent and LLM-serving infrastructure including Amazon Bedrock, AgentCore, and Strands
• Experience with data cataloging and governance tools such as Unity Catalog or OpenMetadata
• Data modeling for multi-tenant analytical workloads — partitioning strategy, schema design, and tenant isolation patterns
• Databricks on AWS — workspace configuration, S3 integration, IAM, and cost governance
• Infrastructure as code using Databricks Asset Bundles or Terraform
• Strong Python and SQL skills
• Databricks certifications — Data Engineer Associate or Professional
• Salesforce or CRM data integration experience
• Prior experience in a multi-tenant SaaS environment with strict data isolation requirements
• Experience migrating from OLTP to a lakehouse architecture
• Candidates with experience in AWS-native data services are strongly valued. Engineers who understand both Databricks and AWS-native approaches bring a broader architectural perspective that helps the team make better long-term platform decisions
• Apache Iceberg, AWS Glue, Athena, and DynamoDB experience

Benefits

• Comprehensive Health Coverage: Medical, dental, and vision insurance plans
• 401(k) with Company Match: Plan for your future with our retirement savings program
• Equity Purchase Option: Participate in Fuel Cycle’s long-term success
• Flexible Work Schedule: Empowering you to balance life and work
• 15 vacation days and 7 sick days per year
• 12 company holidays
• 4 floating holidays/recharge days to rest or celebrate what matters to you
• Paid Parental Leave: Time to bond with your growing family
• Monthly Internet & Phone Stipend: Support for remote work setup
• Wellness & Lifestyle Perks: Access to tools like Rightway (healthcare navigation), Headspace (mental wellness), Peloton (fitness), and more
• Weekly community lunches, refreshments, and snacks at our LA & NY headquarters
• Pet-friendly office environments

Company Overview

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