Data Engineer
OneDigital•Atlanta, GA
•Hybrid
About The Position
We're building a modern, AI-native data engineering function on Azure + Snowflake, where AI coding agents are first-class contributors to the dev workflow. You'll join a small team owning the full data lifecycle — ingestion, modeling, governance — and ship production pipelines from day one. This is a great seat for someone early in their career who wants to grow fast in an environment where AI tooling is the default, not an afterthought. We're optimizing for learning velocity over years of experience. If you have 0–2+ years and a strong foundation, you're in scope.
Requirements
- Python — comfortable writing clean, modular code; familiar with pandas, requests, basic OOP, virtualenvs/uv
- SQL — strong fundamentals (joins, window functions, CTEs, query optimization)
- Azure Data Factory — hands-on pipeline development, parameterization, triggers, linked services
- Azure services — working knowledge of Storage (Blob/ADLS), Key Vault, DevOps (pipelines, repos)
- Snowflake — has built or contributed to real warehouses; understands warehouses, roles, micro-partitions
- Source control — Git workflows, PRs, branching
- AI coding agents — used Copilot, Cursor, Claude Code, or equivalent for real work (not just demos)
- LLMs — understand prompting, context windows, tool use / function calling, structured outputs
- RAG — know what it is, when to use it, the basic architecture (embeddings, vector store, retrieval, generation)
- MCP (Model Context Protocol) — bonus if you've used it, but willingness to learn quickly is required; we use Atlan MCP and Snowflake MCP
Nice To Haves
- Coalesce, dbt, or another transformation framework
- Experience with Dataverse / Dynamics 365 / Power Platform data sources
- Atlan or another data catalog/governance tool
- CI/CD experience with Azure DevOps YAML pipelines
- Exposure to vector databases (Pinecone, Weaviate, pgvector, Snowflake Cortex)
- Personal projects with LLMs, agents, or AI tooling — show us your GitHub
Responsibilities
- Build and maintain ingestion pipelines into Snowflake from a range of source systems (Dataverse, SQL Server, APIs, files) using Azure Data Factory
- Develop transformation logic in Snowflake following a medallion architecture (bronze → silver → gold), using Coalesce for orchestrated SQL transformations
- Write Python for orchestration, automation, custom connectors, and lightweight services
- Partner with AI coding agents (GitHub Copilot, Claude Code, Cortex) as part of your daily workflow — you're expected to be effective at directing them, not just using autocomplete
- Apply data governance and lineage standards through Atlan
- Participate in code reviews, CI/CD via Azure DevOps, and on-call rotations for production pipelines
- Contribute to internal documentation and runbooks
Benefits
- health, wellbeing, retirement, and other financial benefits
- paid time off
- overtime pay for non-exempt employees
- robust learning and development programs
- reimbursement of job-related expenses
- employee perks and discounts
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
