Databricks Engineer

True Zero Technologies, a veteran-owned small business, was founded on the principle that the purposeful enablement of people and technology in an organization directly ties to the quality of its outcomes. True Zero recognizes that said outcomes begin and end with our people, and that is what we have built, a community of like-minded, driven, and passionate individuals and innovators who are aligned in a common goal of delivering top tier services to our customers. In 2023, True Zero was recognized as a “Best Places to Work” in two categories ("Prosperous and Thriving" ($5MM – $50MM in gross revenue) and "Mid-Atlantic Region" (DC, DE, MD, NC, VA, WV)) and in 2022, was recognized as one of Inc. Magazine’s Top 5000 Fastest Growing Companies.

The candidate will be part of a team of Data Analytic Engineers maintaining various clients' Databricks instances with a heavy emphasis on data on-boarding, migration from legacy systems, content development, configuration, troubleshooting, reporting, and visualizations. All candidates must possess prior Databricks engineering and administration experience, meet the necessary certification prerequisites, and work well in a team environment. Candidates with experience supporting federal customers is a plus.

As a TZT consultant, the candidate will receive access to the full knowledge base which is driven by the True Zero community as well as the technical backing of the entire Professional Services team. True Zero encourages collaboration and growth through information sharing and knowledge workshops. The candidate will also have access to our internal Slack channel to stay connected with the team as well as the necessary tools to train, demo, test and grow their professional skills.

Must have Databricks Professional Certification Experience maintaining and administering enterprise Databricks implementations. 3+ years of Databricks experience in active production environment Experience with common operating systems [e.g. Windows, Linux, CentOS, Ubuntu, and/or Red Hat Enterprise Linux (RHEL)] Experience with data ingest and data processing techniques Experience with multi-node clustering architecture, development, implementation, and health monitoring of the system Knowledge of lifecycle management implementations Experience building and optimizing big data data pipelines, architectures and data sets. Knowledge of Model and Design of DB schemas for read and write performance. Experience working in DevOps and Agile organizations Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement. Excellent written and oral skills, ability to work closely with multiple customers, manage expectations, and track engagement scope. U.S. Citizenship is required as this is in support of a Federal Customer. Top Secret clearance is required.

Understanding of Syslog daemon configuration principles, ideally in Syslog-NG and RSyslog configurations. Cloud experience (AWS, Azure, etc.) Splunk Enterprise Experience Development and API experience (Python, Perl, XML) SaltStack, Ansible, and other enterprise automation tool experience. Hardware experience and storage experience (SAN, NAS, etc.) Git experience (GitHub & GitLab) Cribl experience a plus.