GAQ424R46

Location: San Francisco, CA or Mountain View, CA

At Databricks Information Technology (IT), we are a product led organization transforming the way we work from how easy it is to use our IT services to the applications we develop that help us scale seamlessly in face of incredible growth.

You will join a growing IT Data Analytics, Engineering & Integration team that supports SaaS business applications, working with other integration and systems engineers to support scaling our business operations.  

You will develop integration infrastructure and improve the operation and maintenance of our existing integration systems through iterative upgrades, streamlining, and adoption of standard methodology. You will also support company-level programs for transforming Databricks business processes and provide integration expertise and solutions. You will report to the Sr. Director, Data Analytics & Integration.

The impact you will have:

Design/Strategy: You will design and support the application integration between multiple business applications and systems. In this capacity, you will design and develop systems of high availability integration architecture with future expansion in mind.

Collaboration: You will collaborate and work with business and application team members in an attempt to gather data integration requirements.

Analytics: You will play an analytical role in quickly and thoroughly analyzing requirements for reporting and analysis and subsequently translating the emanating results into good technical data designs. In this capacity, the Integration Engineer establishes the documentation of integration, develops, and maintains technical specification documentation for all processes.

What we look for:

• 2+ years experience with Mulesoft designing, implementing, and supporting creative Enterprise integration solutions and meeting requirements

• Experience deploying APIs using SOAP and REST

• Experience working with business and application partners and product managers to gather data integration requirements and to translate into good technical data designs

• Experience developing, profiling, and troubleshooting custom applications, including experience with JEE, JMS, and Tomcat

• Experience in RDBMS and Distributed databases

• Proficient in modern SaaS DevOps and CI/CD tools and operating environments

• Programming experience in Python, Golang or Scala

• Experience with big data tools, such as Spark

• Familiarity with Agile methodologies for development, security, maintenance, operations, monitoring, and updates

Benefits

• Comprehensive health coverage including medical, dental, and vision

• 401(k) Plan

• Equity awards

• Flexible time off

• Paid parental leave

• Family Planning

• Gym reimbursement

• Annual personal development fund

• Employee Assistance Program (EAP)

• Mental wellness resources

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.