Help manage the data warehouse by completing well-scoped tasks with guidance.
Maintain and extend existing data pipelines and ingestion jobs (small changes, fixes).
Write clean SQL and basic Python scripts following team standards.
Support operations: monitor jobs, validate loads, and escalate issues with context.
Implement changes within established modeling/warehouse patterns (star schema, layered data).
Collaborate with partner teams on straightforward data access and data quality requests.
Apply basic best practices for data hygiene and query performance.
Contribute small improvements to internal tooling, runbooks, and documentation.
Build fluency in team tools and platforms (e.g., Snowflake, CI/orchestration, ingestion tools).
Participate in an on-call rotation to help monitor and support data pipelines and the data warehouse, escalating issues as needed.

Requirements

Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2+ years of experience in data warehousing and data engineering.
Hands-on experience with Snowflake data warehouse platform for data storage, retrieval, and analysis.
Advanced programming skills in Python, SQL
Experience in building AI/ML retraining pipelines
Experience in designing and deploying APIs in cloud environments (e.g., AWS, Azure, GCP) while considering scalability and elasticity requirements.
Proficiency in machine learning development, including experience with training, fine-tuning, and validating ML models using frameworks like TensorFlow, PyTorch, or similar.
In-depth knowledge of AI/ML model evaluation, optimization, and deployment strategies.
Strong understanding of vector databases and their application in AI/ML model storage and retrieval.
Experience in utilizing Large Language Models (LLMs) such as GPT (Generative Pre-trained Transformer), BERT (Bidirectional Encoder Representations from Transformers), LLaMa (Meta AI), or similar models in real-world applications.
Proficiency in fine-tuning and deploying LLMs for various natural language processing (NLP) tasks, such as text generation, summarization, sentiment analysis, or language translation.

Benefits

Flexible paid time off, giving you the opportunity to rest, relax and recharge away from work
14 Paid Company Holidays, includes 2 floating holidays (you choose!)
A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale
Unlimited infertility coverage benefits through our medical plans
Additional supplemental health benefits offered to you and your family
401(k) retirement program with a fully vested immediate company match
16 weeks of paid parental leave for birthing and non-birthing parents
Health Savings Account (HSA) options and company contributions each pay period
Flexible Spending Account (FSA) options for pre-tax employee allocations
Annual remote work stipend to be used on wellness or home office equipment
Monthly company All Hands meetings
Regular opportunities for executive leadership exposure through things like AMAs
Access to continued learning & development opportunities
Our commitment to a continuous feedback culture which allows us to drive performance and career growth
A growing network of Employee Resource Groups
Company sponsored volunteer hours

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

SQLPythondata warehousingdata engineeringAI/ML retraining pipelinesAPI designcloud environmentsmachine learning developmentmodel evaluationnatural language processing

Soft skills

collaborationproblem-solvingcommunicationattention to detailmonitoringdocumentation

Certifications

Bachelor's degreeMaster's degree