Senior Data Engineer - Snowflake (Remote)

About SailPoint

SailPoint is the leader in identity security for the cloud enterprise. Our identity security solutions secure and enable thousands of companies worldwide, giving our customers unmatched visibility into the entirety of their digital workforce, ensuring workers have the right access to do their job – no more, no less.

Want to be on a team that’s full of results-driven individuals who are constantly seeking to innovate? At SailPoint, our Engineering team does just that. We value high-quality collaborative engineering driven by focused individuals. Our team creates products that are built on strong technical foundations, agility to respond to market demands, and frequent shipping to customers.

About the Team

SailPoint is seeking a Senior Data Engineer to help build a new cloud-based SaaS identity security product. We are seeking a highly motivated and experienced Senior Data Engineer to design, build, and maintain our robust data ecosystem. This role will focus on creating scalable and reliable data pipelines using a diverse and modern data stack. The ideal candidate will have hands-on experience with both batch and streaming data processing, as well as a strong understanding of various database technologies, including columnar, NoSQL, and graph databases.

As one of the first members on the team, you will be integral in building this product and will be part of an agile team that is in startup mode. This is a unique opportunity to grow a project that is in it’s early stages but with the backing of an organization that has the muscle to take it to market quickly, with a broad and engaged customer base.

Responsibilities

• Data pipeline development: Design, construct, and optimize scalable ETL/ELT pipelines for both batch and real-time data using DBT, Apache Spark and Apache Flink.

• Data warehousing: Develop and manage data schemas and warehouses within Snowflake, ensuring data is organized for efficient querying and analysis.

• Database management: Collaborate with infrastructure teams to administer and optimize data storage solutions using Cassandra for high-velocity, wide-column data, and graph databases for complex relationship-based data.

• Real-time streaming: Build and maintain data ingestion workflows for real-time applications using Apache Flink to process data from sources like Apache Kafka.

• Performance optimization: Tune complex Spark, Flink, SQL, and CQL queries to improve performance and reduce cost within Snowflake and other database systems.

• Data quality and governance: Implement and enforce data quality standards, monitor pipelines, and establish data governance policies to ensure data integrity and security.

• Infrastructure management: Collaborate with DevOps teams to manage and automate the deployment of data applications using CI/CD pipelines.

• Collaboration: Work with data scientists, BI analysts, and other stakeholders to translate complex data requirements into scalable engineering solutions.

Requirements

• Education: Bachelor's degree in Computer Science, Engineering, or a related technical field.

• Experience: 6+ years of professional experience in data engineering or a similar role.

• Programming: Strong proficiency in programming languages like Python, Scala, or Java.

• Data warehousing: Expert-level knowledge of Snowflake for data warehousing, including data modeling and query optimization.

• Batch processing: Hands-on experience with Apache Spark for large-scale data processing.

• Streaming processing: Experience with Apache Flink for building real-time data streaming applications.

• NoSQL databases: Strong experience with Cassandra for managing and optimizing distributed data storage.

• Graph databases: Solid understanding and hands-on experience with graph databases and their query languages (e.g., Gremlin, Cypher).

• Cloud experience: Familiarity with a major cloud provider (e.g., AWS, Azure, GCP) and its data-related services.

Preferred qualifications

• Experience with other components of the big data ecosystem (e.g., DBT, Apache Kafka, Airflow).

• Experience with containerization technologies like Docker and Kubernetes.

• Familiarity with data governance and observability tools.

• Certifications related to Snowflake, AWS, or other cloud platforms.

30 days:

• Understand the current data infrastructure and workflows.

• Get familiar with the team and ongoing projects.

• Start contributing to small tasks and bug fixes.

90 days:

• Take ownership of a scoped project or feature.

• Collaborate with team members to design and implement data models.

• Begin building data pipelines and orchestrating workflows.

6 months:

• Lead the design and implementation of ELT processes.

• Develop and maintain scalable data pipelines for both stream and batch processing.

• Ensure data security, quality, and compliance in your areas of ownership.

1 year:

• Spearhead complex data projects that power AI/ML products.

• Collaborate with cross-functional teams to integrate diverse data sources.

• Represent key data insights in a meaningful way to stakeholders.

Benefits and Compensation listed vary based on the location of your employment and the nature of your employment with SailPoint.

As a part of the total compensation package, this role may be eligible for the SailPoint Corporate Bonus Plan or a role-specific commission, along with potential eligibility for equity participation. SailPoint maintains broad salary ranges for its roles to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect SailPoint’s differing products, industries, and lines of business. Candidates are typically placed into the range based on the preceding factors as well as internal peer equity. We estimate the base salary, for US-based employees, will be in this range from (min-mid-max, USD):

Base salaries for employees based in other locations are competitive for the employee’s home location.

Benefits Overview

1. Health and wellness coverage: Medical, dental, and vision insurance

2. Disability coverage: Short-term and long-term disability

3. Life protection: Life insurance and Accidental Death & Dismemberment (AD&D)

4. Additional life coverage options: Supplemental life insurance for employees, spouses, and children

5. Flexible spending accounts for health care, and dependent care; limited purpose flexible spending account

6. Financial security: 401(k) Savings and Investment Plan with company matching

7. Time off benefits: Flexible vacation policy

8. Holidays: 8 paid holidays annually

9. Sick leave

10. Parental support: Paid parental leave

11. Employee Assistance Program (EAP) and Care Counselors

12. Voluntary benefits: Legal Assistance, Critical Illness, Accident, Hospital Indemnity and Pet Insurance options

13. Health Savings Account (HSA) with employer contribution

SailPoint is an equal opportunity employer and we welcome all qualified candidates to apply to join our team.  All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other category protected by applicable law.  

Alternative methods of applying for employment are available to individuals unable to submit an application through this site because of a disability. Contact [email protected] or mail to 11120 Four Points Dr, Suite 100, Austin, TX 78726, to discuss reasonable accommodations.  NOTE: Any unsolicited resumes sent by candidates or agencies to this email will not be considered for current openings at SailPoint.