Description
- Manage the data warehouse.
- Maintain and build new data pipelines.
- Partner with our platform, architectural and product development teams to design and influence modern architectural solutions.
- Collaborate with various teams (Data Science, Data Analytics, Application Engineering, Sales, Customer-Facing Teams) to meet their data access needs.
- Evangelize best practices for data utilization, data modeling, cost efficiency, and query optimization among stakeholders, junior engineers, and warehouse consumers.
- Research and advise on modern data engineering techniques.
- Build and support tools and services for data management, monitoring, and productization.
- Recommend and implement tools and technologies to support PayScale's evolving data needs.
- Oversee data hygiene and conduct cost analysis.
- Data Warehousing and Reporting: Snowflake, Spark, Tableau
- ETL and Pipelining: Fivetran, Python, TeamCity, AWS Lambda
- Additional Technologies: C#, Docker, Kubernetes, Azure, AWS, Redis, DynamoDB, SQL Server, MongoDB, Elasticsearch, Postgres, Octopus Deploy
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data warehousing and data engineering.
- Hands-on experience with Snowflake data warehouse platform for data storage, retrieval, and analysis.
- Experience in optimizing data workflows, ensuring data quality, and managing data transformations within Snowflake or similar platforms.
- Expert level 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.
In our hybrid model, employees can work from the location that works best for them when not in the office.
- High-Speed Internet - A stable broadband or fiber connection (satellite is highly discouraged) with a minimum speed of 100 Mbps in a dedicated workspace that has a reliable Wi-Fi signal.
- Device for Multifactor Authentication (MFA/2FA) - smartphone, tablet, etc.
- Respect every individual, work as a team
- Be Customer first, customer centric
- Have a Bias towards action
- Commit to excellence (we give our best everyday)
- Make Data driven decisions
- 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
- And more!
- 15 paid Romania public holidays + 2 additional Payscale holidays (Global Mental Health Day & US Independence Day)
- 25 paid days of additional leave
- Supplemental medical covered by Payscale for employees
- Employees can add supplemental for family/spouse/dependents at their own expense
- Additional days of per RO Labor Code that are not included in holidays & additional leave days
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