Staff Data Engineer - (REMOTE)
United States, United States
Full Time Senior-level / Expert USD 132K - 245K
SailPoint
The core of enterprise security is identity. Take a tour to see how our identity security platform delivers a foundation that securely fuels your business.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.
Position Overview:
We are seeking a Staff Data Engineer with extensive experience in designing, building, and optimizing streaming solutions for our Data Platform. This role will be pivotal in shaping our data architecture, leading a talented team, and collaborating across departments to deliver data-driven insights that influence business decisions.
Due to FedRAMP requirements, US Citizenship is required to be considered for this role
Key Responsibilities:
Design, develop, and implement scalable and efficient streaming data pipelines and architectures.
Promote best practices in data management and analytics.
Collaborate with data scientists, analysts, and stakeholders to understand data needs and translate them into technical specifications.
Manage and optimize existing data systems, ensuring they meet the evolving needs of the business.
Evaluate and implement new data technologies and tools to enhance data processing and self-service capabilities.
Ensure data quality, security, and compliance with relevant regulations.
Develop and maintain documentation for data systems and engineering processes.
Conduct performance tuning, troubleshooting, and optimization of data processes.
Qualifications:
10+ years of experience in data engineering or related roles.
Experience with Java
Experience with data pipeline tools (e.g., Apache Flink/Spark, Apache Kafka, Airflow).
Knowledge of cloud technologies (e.g., AWS, Azure, Google Cloud).
Familiarity with data warehousing solutions (e.g., Snowflake, Redshift).
Strong problem-solving skills and ability to work in a fast-paced environment.
Excellent communication skills and ability to work collaboratively with cross-functional teams.
Strong knowledge of datastore systems (SQL and NoSQL) and data integration tools
Preferred Skills:
Experience in machine learning and understanding of data science concepts.
Familiarity with data governance and metadata management practices.
Within the first 30 days you will:
Complete onboarding with HR
Get their environment set up
Take on some tickets, bugs. Resolving some tech debt or bugs form backlog to start; something that doesn’t require a lot of subject matter expertise.
All work committed has tests
Complete the ISC-specific courses
Review the body of documentation on Search and Reporting
New hire maintains availability during core business hours and effectively communicates issues ahead of time.
By 90 days you will be able to:
Passing the 90 day probationary period.
Participate in the on-call rotation
Do a technical design if the opportunity is available
Give a presentation on something they don’t like about the system or an area that has room for improvement
Presenting their work at feature demos
Contribute in a significant way to team documentation
By 6 months you will be able to:
Mentoring if the opportunity is available
Know how system works and be able to do cross-service changes confidently
Able to work independently on any task
Has the knowledge base expected of active Search and Reporting team member
Contribute significantly to sprint goals
Regularly defines and upholds PR code review quality for the team
By 1 year you will be able to:
Be part of the interview panel for new roles
Participate in owning tech design document if the opportunity is available
Leading cross-team involvement if the opportunity is available
Participating in customer and professional services calls
Attends relevant learning opportunities and presents to the team
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):
$132,440 - $189,200 - $245,960Base 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 everyone to our team. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status.
Tags: Airflow Architecture AWS Azure Data governance Data management Data pipelines Data quality Data Warehousing Engineering Flink GCP Google Cloud Java Kafka Machine Learning NoSQL Pipelines Redshift Security Snowflake Spark SQL Streaming
Perks/benefits: Career development Competitive pay Equity / stock options Flex hours Flexible spending account Flex vacation Health care Insurance Medical leave Parental leave Salary bonus Startup environment Wellness
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