Staff Data Engineer, Elastic
$113.1-215.1k
Salary dependent on location. This role is currently eligible to participate in Elastic's stock program
Open source platform powering search, observability, security, and more
Job no longer available
Open source platform powering search, observability, security, and more
1001+ employees
Job no longer available
$113.1-215.1k
Salary dependent on location. This role is currently eligible to participate in Elastic's stock program
1001+ employees
Company mission
To help turn endless data possibilities into real results with the power of Search AI.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Organizations are dealing with exploding data volumes increasingly sophisticated cyber threats, and the growing expectation tha ttechnology should help act on problems, not just report them. Ai is moving from experimentation into real operations, especially in security and observability where speed and context are critical. So now, both enterprises and governments are looking for simpler, shared platforms that sale easily and reduce complexity rather than add to it.
And Elastic sits at the intersection of these needs with its Search AI Platform that helps organizations turn large amounts of structured and unstructured data into clear insights and actiontions across search, security, and observability. Elastic's strength lies in its open, flexible approach, which breaks down data silos and provides a context people and AI systems need to make daster, better decisions. The goal is straightforward: help teams see what's happening, understand it quickly, and respond confidently.
Recently, the company worked with CISA to deliver a unified, cloud-based SIEM for US federal agencies, this highlights strong trust in Elastic's security and scalability. Alongside this, its AWS Agentic AI Specialization also reflects leadership in making autonomous AI system practical and reliable. Together, these milestones position Elastic well for the future, as organizations increasingly rely on shared platforms and intelligent systems to manage ris, complexity, and growth.
Freddie
Company Specialist at Welcome to the Jungle
Insights
8% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Jul 2016
$58m
SERIES D
Jun 2014
$70m
SERIES C
Total funding: $162m
Company benefits
- Toast to your health: Fully paid health coverage for you and your family, in many locations.
- Craft your calendar: Flexible location and schedule for most roles.
- Create space for you: Distributed by design workforce, plus generous number of vacation days each year.
- Embrace parenthood: Minimum of 16 weeks of parental leave, plus generous family formation benefits.
- Give back your time: 40 hours each year to use toward volunteering with organizations and causes you’re passionate about.
- Amplify your impact: Double your charitable giving — we match donations up to $1500 USD (or local currency equivalent).
Company HQ
Union Square, San Francisco, CA
Leadership
Ashutosh Kulkarni
(CEO)Ashutosh joined Elastic in 2021 as CPO, becoming CEO in 2022. Prior to this, he was an EVP and CPO of Enterprise at McAfee, a Senior VP and GM of Web Performance and Web Security at Akamai Technologies, and a Senior VP and GM of Informatica Cloud at Informatica.
Shay Banon
(Co-Founder & CTO)Shay co-founded Elastic in 2012 and has served as the CTO since.
Navam Welihinda
(CFO)Prior to joining Elastic in 2025, Navam was the CFO at Grammarly. He also spent nearly 8 years at HashiCorp as VP of Finance and CFO and was the Head of Finance, Compose at IBM for 1 year.
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