Senior Data Engineer (REMOTE)

Remote (Mexico)

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.

SailPoint is seeking a Senior Data Engineer to help build a new cloud-based SaaS identity analytics product. We are looking for a well-rounded Data Engineer who is passionate about building and delivering reliable, scalable microservices and infrastructure for SaaS products.

Responsibilities:

  • Spearhead the design and implementation of ELT processes, especially focused on extracting data from and loading data into various endpoints, including RDBMS, NoSQL databases and data-warehouses.

  • Develop and maintain scalable data pipelines for both stream and batch processing leveraging JVM based languages and frameworks.

  • Collaborate with cross-functional teams to understand diverse data sources and environment contexts, ensuring seamless integration into our data ecosystem.

  • Utilize AWS service-stack wherever possible to implement lean design solutions for data storage, data integration and data streaming problems.

  • Develop and maintain workflow orchestration using tools like Apache Airflow.

  • Stay abreast of emerging technologies in the data engineering space, proactively incorporating them into our ETL processes.

  • Thrive in an environment with ambiguity, demonstrating adaptability and problem-solving skills.

Qualifications:

  • 3+ years in a product driven environment focused on data engineering

  • Hands-on experience with at least one streaming or batch processing framework, such as Flink or Spark.

  • Hands-on experience with containerization platforms such as Docker and container orchestration tools like Kubernetes.

  • Proficiency in AWS service stack.

  • Familiarity with workflow orchestration tools such as Airflow.

  • Comfortable working in ambiguous team-situations, showcasing adaptability and drive in solving novel problems in the data-engineering space.

  • BS in computer science, related field or equivalent work experience.

Preferred or things you will learn on the job:

  • Python and/or Java based coding experience

  • Demonstrated system-design experience orchestrating ELT processes targeting data integration into modern datastores including relational databases, non-relational databases, and data warehouses.

  • Experience leveraging tools such as Kustomize, Helm and Terraform for implementing infrastructure as code.

  • Strong interest in staying ahead of new technologies in the data engineering space.

SailPoint is committed to providing our Crew Members with a benefits program that is both comprehensive and competitive. Our benefits program offers medical/pharmacy and dental coverage, as well as financial security for our Crew Members and their families. All premiums are paid by SailPoint. 

  • Full time remote employment  

  • Competitive salaries 

  • Company sponsored healthcare coverage for you and your family 

  • Annual performance bonus 

  • Phone and internet reimbursement 

  • Private equity at certain levels  

  • 33% prima vacaciones 

  • Christmas Bonus equivalent to 30 days of salary 

  • Savings fund - coming July 2024!

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.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Airflow AWS Computer Science Data pipelines Docker ELT Engineering ETL Flink Helm Java Kubernetes Microservices NoSQL Pipelines Python RDBMS Security Spark Streaming Terraform

Perks/benefits: Competitive pay Equity Health care Salary bonus

Regions: Remote/Anywhere North America
Country: Mexico
Job stats:  20  8  0
Category: Engineering Jobs

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