Senior Data Engineer

PayScale, Inc.; Canada; Remote; USD 139,000 - 210,000; Full time

Job summary

Join a forward-thinking company that empowers teams through data-driven decisions! This exciting role involves managing data warehouses, building robust data pipelines, and collaborating with various teams to enhance data access. You will utilize cutting-edge technologies and best practices to optimize data workflows and ensure quality. As a key player in the data engineering team, your contributions will directly impact the company's mission to provide fair pay insights. If you're passionate about data and looking for a dynamic work environment, this opportunity is perfect for you!

Benefits

Flexible paid time off

14 Paid Company Holidays

Comprehensive benefits plan

401(k) with company match

Annual remote work stipend

Unlimited infertility coverage

16 weeks paid parental leave

Company sponsored volunteer hours

Access to learning & development opportunities

Inclusive work culture

Qualifications

• 5+ years of experience in data engineering and warehousing.
• Hands-on experience with Snowflake for data storage and analysis.
• Expert level programming skills in Python and SQL.

Responsibilities

• Manage the data warehouse and maintain data pipelines.
• Collaborate with teams to meet their data access needs.
• Research and implement modern data engineering techniques.

Skills

Data Warehousing

Data Engineering

Python

SQL

AI/ML Pipelines

Data Modeling

Data Quality Management

Education

Bachelor's degree in Computer Science

Master's degree in Computer Science

Tools

Snowflake

Fivetran

AWS Lambda

Tableau

Docker

Kubernetes

Azure

Redis

DynamoDB

Postgres

Job description

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 a seasoned 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.

Responsibilities:

1. Manage the data warehouse.
2. Maintain and build new data pipelines.
3. Partner with our platform, architectural and product development teams to design and influence modern architectural solutions.
4. Collaborate with various teams (Data Science, Data Analytics, Application Engineering, Sales, Customer-Facing Teams) to meet their data access needs.
5. Evangelize best practices for data utilization, data modeling, cost efficiency, and query optimization among stakeholders, junior engineers, and warehouse consumers.
6. Research and advise on modern data engineering techniques.
7. Build and support tools and services for data management, monitoring, and productization.
8. Recommend and implement tools and technologies to support PayScale's evolving data needs.
9. Oversee data hygiene and conduct cost analysis.

Technologies We Use:

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

Requirements:

1. Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
2. 5+ years of experience in data warehousing and data engineering.
3. Hands-on experience with Snowflake data warehouse platform for data storage, retrieval, and analysis.
4. Experience in optimizing data workflows, ensuring data quality, and managing data transformations within Snowflake or similar platforms.
5. Expert level programming skills in Python, SQL.
6. Experience in building AI/ML retraining pipelines.

Preferred Qualifications:

1. Experience in designing and deploying APIs in cloud environments (e.g., AWS, Azure, GCP) while considering scalability and elasticity requirements.
2. Proficiency in machine learning development, including experience with training, fine-tuning, and validating ML models using frameworks like TensorFlow, PyTorch, or similar.
3. In-depth knowledge of AI/ML model evaluation, optimization, and deployment strategies.
4. Strong understanding of vector databases and their application in AI/ML model storage and retrieval.
5. Experience in utilizing Large Language Models (LLMs) such as GPT, BERT, LLaMa, or similar models in real-world applications.
6. 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 $139,900 - $209,900, 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.

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 every day)
• 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:

• Flexible paid time off, giving you the opportunity to rest, relax, and recharge away from work
• 14 Paid Company Holidays, including 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

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.

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