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.
Compensation
In the spirit of pay transparency, we are excited to share the base salary range for this position is $134,200 - $201,400, exclusive of fringe benefits or potential bonuses. This position is also eligible for an annual corporate bonus of 10%. If you are hired at Payscale, your final base salary compensation will be determined based on factors such as skills, education, and/or experience. In addition to those factors – we believe in the importance of pay equity and consider any internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the full base salary range for the role. Hiring at the maximum of the range would not be typical in order to allow for future & continued salary growth. We also offer a generous compensation and benefits package (more information on benefits listed below).
Company Description
Payscale gives employers and employees confidence to know the what and why behind pay. With our leading data, technology, and experience we make it easier for you to connect compensation to goals.
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 50 percent of the Fortune 500 in 198 countries, 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, Target, United Healthcare, Gainsight, eBay, and The Washington Post to make fair and appropriate pay decisions. To learn more, visit www.payscale.com
Location
Payscale has an employee centric remote-first 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 for the moments that matter.
In our remote-first model, employees can work from the location that works best for them. We do not have centralized corporate offices.Employees can choose to work from home, in company-paid co-working spaces, or any combination of the two that best suits their unique needs.
When it matters (usually no more than a few times a year) we take the time to gather for in-person events.
Payscale has employees across the US, Canada, and the UK, however we are currently unable to hire in the Quebec Province, Northern Ireland, and Hawaii.
Benefits and Perks
All around awesome culture where together we strive to live our 5 values:
- 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
An open and inclusive environment where you’ll learn and grow through programs and resources like:
- 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!
Our more standard benefits
- Flex Paid Time Off, giving you flexibility to rest, relax and recharge away from work
- 15 Paid Company Holidays, including an extended Fourth of July break, World Mental Health Day, and Juneteenth
- A comprehensive benefits plan including medical, dental, life, vision, disability, and life insurance covered up to 100% by Payscale
- 401(k) retirement program with a fully vested immediate company match
- 12 weeks of paid parental leave for birthing or non-birthing parents
- Unlimited infertility coverage benefits through our medical plans
- Health Savings Account (HSA) options and company contribution each pay period
- Flexible Spending Account (FSA) options for pre-tax employee allocations
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates, so please don’t hesitate to apply — we’d love to hear from you.
Equal Opportunity Employer:
We embrace equal employment opportunity. Payscale is committed to a policy of equal employment opportunity for all applicants and employees. It is our policy that employees will not be subjected to unlawful discrimination on the basis of race, color, religion, sex, age, national origin, or ancestry, physical or mental disability, veteran or military status, marital status, sexual orientation, political ideology, and any other basis protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including but not limited to: recruitment, hiring, transfers, promotions, training, discipline, termination, compensation and benefits, performance appraisals, education, and social and recreational programs.
Fraud Alert:
Payscale values security and privacy. During your job application and interview process, we will never ask for your personal banking or financial information, social security number, or other sensitive information, if you are unsure if a message is from Payscale, please email [email protected]
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