Senior Data Engineer
Romania
Payscale
Navigate market uncertainty with validated, always-on compensation data from multiple sources delivered transparently through our trusted data platform- 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.
About Payscale As the industry leader in compensation management, Payscale is on a mission to help job seekers, employees, and businesses get pay right and to make sustainable fair pay a reality. Empowering more than 65% of the Fortune 500, Payscale provides a combination of diverse and dynamic data sources, experienced compensation services, and scalable software to enable organizations such as Angel City Football Club, Panasonic, Mars Global, eBay, American Airlines and PetSmart to make fair and appropriate pay decisions. Pay is powerful. To learn more, visit www.payscale.com. Location Payscale Romania has an employee centric hybrid model that provides you the flexibility to do your best work in a space that supports you, while also finding time to collaborate in person in our office for the moments that matter.
In our hybrid model, employees can work from the location that works best for them when not in the office. When you work from home, we recommend ensuring that you can meet the following technology, equipment and workspace requirements:
- 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
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs AWS Azure Banking BERT Computer Science Data Analytics Data management Data pipelines Data quality Data warehouse Data Warehousing Docker DynamoDB Elasticsearch Engineering ETL FiveTran GCP GPT Kubernetes Lambda LLaMA LLMs Machine Learning ML models MongoDB NLP Pipelines PostgreSQL Privacy Python PyTorch Research Security Snowflake Spark SQL Tableau TensorFlow Transformers
Perks/benefits: Career development Equity / stock options Gear Health care Medical leave Salary bonus Startup environment Team events
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