Data Engineer

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.

What is The Role:

We are seeking a Junior 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 and dbt.
• Collaborate with senior engineers to implement real-time data streaming solutions using Apache Kafka and Apache Flink.
• Learn to use Terraform for infrastructure-as-code to manage our Google Cloud Platform (GCP) resources.
• 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.
  
  

What You Bring:

• 1+ years of experience or significant internships in data-related projects.
• 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 both SQL and NoSQL databases.
• General understanding of data pipelines, ETL/ELT processes, data modeling, and data warehousing concepts.
• Basic Knowledge of Git and DevOps practices.
• Bonuses: Familiarity with data processing frameworks such as Kafka, Flink, Spark, and Iceberg.
  
  

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 a 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 and can view the following posters linked below:

Family and Medical Leave Act (FMLA) Poster

Employee Polygraph Protection Act (EPPA) Poster

Elasticsearch develops and distributes technology and information that is subject to U.S. and other country 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.

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