Data Engineer I

Payscale is the original compensation innovator for organizations who want to scale their business with pay and transform their largest investment into their greatest advantage. With decades of innovation in sourcing reputable data and developing AI-powered tools, Payscale delivers actionable insights that turn pay from a cost to a catalyst. Its suite of solutions — Payfactors, Marketpay, and Paycycle — empower 65% of the top companies in the U.S. and businesses like Panasonic, ZoomInfo, Chipotle, Quest Diagnostics, University of Washington, American Airlines, and TJX Companies.

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Job Summary

Are you passionate about empowering teams to make data-driven decisions? Do you find yourself excited about the possibilities that more data can unlock? Payscale is seeking an engineer to join our Data Engineering Team. Our team focuses on enabling fast, accurate, and reliable access to data by building robust data pipelines, managing our data warehouse, and supporting the productization of our data.

What You'll Do:

• 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.

Technologies We Use:

• Data Warehousing and Reporting: Snowflake, 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

What We're Looking For:

• 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

Preferred Qualifications:

• 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.

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.

If 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.

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, UK, The Philippines and Romania 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:

• Data informed decision making.
• Customer first. Always.
• Succeed together.
• Relentless about results. Obsessed with excellence.
• Lead the change. Shape the standard.

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

• 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