Lead Data Engineer
United States
- Pay
Multiple pay statements — pay source
The typical starting salary range for this role is: $113,100—$178,900 USD The typical starting salary range for this role in the select locations listed above is:
The typical starting salary range for this role in the select locations listed above is: $135,900—$215,100 USD Additional Information - We Take Care of Our People
Read the full posting- Work setup
- Unconfirmed
- Employment
- Unconfirmed
What you’ll work on
Full postingYou'll design, maintain, and improve the pipelines and infrastructure that power our data platform.
Monitor and refine pipeline performance and refine processes to keep things running smoothly.
From the employer’s posting
What You Will Be Doing You'll design, maintain, and improve the pipelines and infrastructure that power our data platform. Day to day, that means working across the full data lifecycle — from ingestion and streaming to transformation and delivery — using tools like Apache Airflow, Spark, Iceberg, Kafka, Flink, and dbt Labs. Beyond the technical work, you'll spend meaningful time with stakeholders to understand what they need and help define how data should flow across systems. That includes co-creating data contracts, writing clear documentation, and guiding teammates on how to get the most out of the platform.
A few other things you'll take on: Monitor and refine pipeline performance and refine processes to keep things running smoothly. Use Terraform to provision and manage resources on Google Cloud Platform (GCP).
What you’ll bring
All qualificationsCore experience
- 8+ years of experience in data engineering or related roles
- Proficient in programming languages, particularly Bash, Python, and SQL
- Experience with Apache Airflow for orchestrating data workflows
- Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases
- Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation
- Experience with Google Cloud Platform (GCP) for cloud resource management
Qualification wording
8+ years of experience in data engineering or related roles
Proficient in programming languages, particularly Bash, Python, and SQL
Experience with Apache Airflow for orchestrating data workflows
Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases
Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation
Experience with Google Cloud Platform (GCP) for cloud resource management
Tools in this posting
- Bash
- Python
- Google Cloud (GCP)
- Iceberg
- Kafka
- Spark
- Terraform
- Airflow
- SQL
- Elasticsearch
Source — Tool mentions in context
- Skilled in using Terraform for infrastructure-as-code deployments - Proficient in programming languages, particularly Bash, Python, and SQL - Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases
- Monitor and refine pipeline performance and refine processes to keep things running smoothly. - Use Terraform to provision and manage resources on Google Cloud Platform (GCP). - Help steward the platform by reviewing code and ensuring good practices and standard processes are followed.
- Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases - Experience with Google Cloud Platform (GCP) for cloud resource management - Bonus: Proven experience with data security and access controls for SOX Compliant data
What You Will Be Doing You'll design, maintain, and improve the pipelines and infrastructure that power our data platform. Day to day, that means working across the full data lifecycle — from ingestion and streaming to transformation and delivery — using tools like Apache Airflow, Spark, Iceberg, Kafka, Flink, and dbt Labs. Beyond the technical work, you'll spend meaningful time with stakeholders to understand what they need and help define how data should flow across systems. That includes co-creating data contracts, writing clear documentation, and guiding teammates on how to get the most out of the platform.
- Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation - Understanding of Apache Iceberg for data table formats and data warehouse and lakehouse strategies - Skilled in using Terraform for infrastructure-as-code deployments
- Experience with Apache Airflow for orchestrating data workflows - Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation - Understanding of Apache Iceberg for data table formats and data warehouse and lakehouse strategies
- Understanding of Apache Iceberg for data table formats and data warehouse and lakehouse strategies - Skilled in using Terraform for infrastructure-as-code deployments - Proficient in programming languages, particularly Bash, Python, and SQL
- 8+ years of experience in data engineering or related roles - Experience with Apache Airflow for orchestrating data workflows - Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation
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 technology and information that is subject to U.S. and other countries’ 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, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). 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.
Job description
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.
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Monitor and refine pipeline performance and refine processes to keep things running smoothly.
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Use Terraform to provision and manage resources on Google Cloud Platform (GCP).
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Help steward the platform by reviewing code and ensuring good practices and standard processes are followed.
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Process access requests and support compliance with platform policies.
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8+ years of experience in data engineering or related roles
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Experience with Apache Airflow for orchestrating data workflows
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Experience with Spark, Flink, Kafka, and dbt Labs for data processing and transformation
-
Understanding of Apache Iceberg for data table formats and data warehouse and lakehouse strategies
-
Skilled in using Terraform for infrastructure-as-code deployments
-
Proficient in programming languages, particularly Bash, Python, and SQL
-
Knowledge of database systems, including OLAP, OLTP, Document, and Vector databases
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Experience with Google Cloud Platform (GCP) for cloud resource management
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Bonus: Proven experience with data security and access controls for SOX Compliant data
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Bonus: Experience and knowledge of the Elastic stack
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.
Additional Information - We Take Care of Our People
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 candidate_accessibility@elastic.co. 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 technology and information that is subject to U.S. and other countries’ 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, Syria, or Russia, including the Ukrainian territories annexed by Russia (The Crimea region of Ukraine, The Donetsk People's Republic (DNR), The Luhansk People's Republic (LNR), Kherson or Zaporizhzhia). 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.
Your next step
- Have your CV and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on jobs.elastic.co. The employer’s form will show what is required.
Already applied? Track this application
Source & posting history
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
The typical starting salary range for this role is: $113,100—$178,900 USD The typical starting salary range for this role in the select locations listed above is:
More source context
The typical starting salary range for this role in the select locations listed above is: $135,900—$215,100 USD Additional Information - We Take Care of Our People
- Location & working pattern
United States
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
- Status in our records
- Active
- First seen by us
- Oct 9, 2026
- Recorded sightings
- 1
- Employer says posted
- Oct 6, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
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