Find your dream job faster with JobLogr
AI-powered job search, resume help, and more.
Try for Free
Payscale

Payscale

via Ashby

All our jobs are verified from trusted employers and sources. We connect to legitimate platforms only.

Data Engineer I (US)

Anywhere
Full-time
Posted 1/14/2026
Direct Apply
Key Skills:
SQL
Python
Data Warehousing

Compensation

Salary Range

$70K - 120K a year

Responsibilities

Maintain and extend data pipelines, support data operations, and collaborate on data quality and access.

Requirements

Experience with data warehousing, SQL, Python, and cloud data platforms, with a focus on data pipeline management and data quality.

Full Description

About Payscale 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. Create confidence in your compensation. Payscale. To learn more, visit www.payscale.com. 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 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 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. 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. If you have a disability or impairment and need assistance with the application process, please email recruiting@payscale.com for support. 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 recruiting@payscale.com

This job posting was last updated on 1/15/2026

Ready to have AI work for you in your job search?

Sign-up for free and start using JobLogr today!

Get Started »
JobLogr badgeTinyLaunch BadgeJobLogr - AI Job Search Tools to Land Your Next Job Faster than Ever | Product Hunt