Databricks

Senior Integration Engineer (Mulesoft)

Remote
API Python Go Spark
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Description

While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations.

Mission

At Databricks Information Technology, 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.

As a Senior Integration Engineer, you will join a growing team that supports SaaS business applications and 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 Director of Business Systems as part of the IT organization.

The impact you will have:

  • Work with business and application partners and product managers to gather data integration requirements
  • Translate requirements into good technical data designs, and maintain technical specification documentation for all processes
  • Build solutions integrating across enterprise SaaS systems like Salesforce (Force.com), Workday, NetSuite, Marketo, and JIRA
  • Offer meaningful perspectives on integration design patterns, concepts, alternatives, and best practices

What we look for:

  • 5+ years of demonstrated expertise implementing creative enterprise application integration solutions and meeting requirements
  • 3+ years of experience with Mulesoft
  • 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 or Golang
  • 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

COVID-19 Vaccination Requirement

As a federal government contractor, Databricks requires new U.S. employees to be fully vaccinated against COVID-19. Proof of vaccination will be required as a condition of employment. Databricks will make reasonable accommodations based on medical conditions or religious grounds for qualified candidates in accordance with applicable law.

About Databricks

Databricks is the lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on TwitterLinkedIn 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.

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