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Elastic, the Search AI Company, enables everyone to find the answers they need in real time, using all their data, at scale — unleashing the potential of businesses and people. The Elastic Search AI Platform, used by more than 50% of the Fortune 500, brings together the precision of search and the intelligence of AI to enable everyone to accelerate the results that matter. By taking advantage of all structured and unstructured data — securing and protecting private information more effectively — Elastic’s complete, cloud-based solutions for search, security, and observability help organizations deliver on the promise of AI.
We are seeking a Staff Data Engineer to join our Data Engineering & Architecture team. In this role, you will contribute to our mission of building a world-class Data Platform. Your work will directly impact our strategy by making it easier for internal customers to leverage data as a strategic asset. This position offers an excellent opportunity to help craft critical initiatives that support real business outcomes.
What You Will Be Doing- Assist in developing, implementing, and optimizing data pipelines using Apache Airflow for workflow orchestration.
- Develop and maintain ETL/ELT processes using Apache Spark, Apache Iceberg, and dbt.
- Implement real-time data streaming solutions using Apache Kafka and Apache Flink.
- Use Terraform for infrastructure-as-code to deploy resources on Google Cloud Platform (GCP).
- Document & Guide Users on Best Practices for using our platform.
- Monitor and Audit the Data Platform to ensure policies and procedures are maintained.
- Participate in code reviews to improve code quality and validate standard processes are met.
- Process Access Requests ensuring all approval processes are followed.
- Demonstrated interest in data engineering through personal projects, coursework, or contributions to open-source projects.
- Strong Analytical and Problem Solving Skills.
- Excellent Verbal and Written Communication Skills.
- Eagerness to learn and stay updated with the latest data engineering trends.
- Proficiency in programming languages, particularly Bash, Python, and SQL.
- Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases.
- General understanding of data pipelines, ETL/ELT processes, data modeling, and data warehousing concepts.
- Basic Knowledge of Git and DevOps practices.
- Proficiency with data processing frameworks such as Kafka, Flink, and Spark.
- Experience with Apache Iceberg and Data Lake houses
Compensation for this role is in the form of base salary. This role does not have a variable compensation component.
The typical starting salary range for new hires in this role is listed below. In select locations (including Seattle WA, Los Angeles CA, the San Francisco Bay Area CA, and the New York City Metro Area), an alternate range may apply as specified below.
These ranges represent the lowest to highest salary we reasonably and in good faith believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the posted range, and the ranges may be modified in the future.
An employee's position within the salary range will be based on several factors including, but not limited to, relevant education, qualifications, certifications, experience, skills, geographic location, performance, and business or organizational needs.
Elastic believes that employees should have the opportunity to share in the value that we create together for our shareholders. Therefore, in addition to cash compensation, this role is currently eligible to participate in Elastic's stock program. Our total rewards package also includes a company-matched 401k with dollar-for-dollar matching up to 6% of eligible earnings, along with a range of other benefits offered with a holistic emphasis on employee well-being.
As a distributed company, diversity drives our identity. Whether you’re looking to launch a new career or grow an existing one, Elastic is the type of company where you can balance great work with great life. Your age is only a number. It doesn’t matter if you’re just out of college or your children are; we need you for what you can do.
We strive to have parity of benefits across regions and while regulations differ from place to place, we believe taking care of our people is the right thing to do.
- Competitive pay based on the work you do here and not your previous salary
- Health coverage for you and your family in many locations
- Ability to craft your calendar with flexible locations and schedules for many roles
- Generous number of vacation days each year
- Increase your impact - We match up to $2000 (or local currency equivalent) for financial donations and service
- Up to 40 hours each year to use toward volunteer projects you love
- Embracing parenthood with minimum of 16 weeks of parental leave
Different people approach problems differently. We need that. Elastic is an equal opportunity employer and is committed to creating an inclusive culture that celebrates different perspectives, experiences, and backgrounds. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, pregnancy, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, disability status, or any other basis protected by federal, state or local law, ordinance or regulation.
We welcome individuals with disabilities and strive to create an accessible and inclusive experience for all individuals. To request an accommodation during the application or the recruiting process, please email [email protected]. We will reply to your request within 24 business hours of submission.
Applicants have rights under Federal Employment Laws, view posters linked below: Family and Medical Leave Act (FMLA) Poster; Pay Transparency Nondiscrimination Provision Poster; Employee Polygraph Protection Act (EPPA) Poster and Know Your Rights (Poster)
Elasticsearch develops and distributes encryption software and technology that is subject to U.S. export controls and licensing requirements for individuals who are located in or are nationals of the following sanctioned countries and regions: Belarus, Cuba, Iran, North Korea, Russia, Syria, the Crimea Region of Ukraine, the Donetsk People’s Republic (“DNR”), and the Luhansk People’s Republic (“LNR”). If you are located in or are a national of one of the listed countries or regions, an export license may be required as a condition of your employment in this role. Please note that national origin and/or nationality do not affect eligibility for employment with Elastic.
Please see here for our Privacy Statement.
Elastic San Francisco, California, USA Office
88 Kearny Street , San Francisco, CA, United States, 94108
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