Must be willing to work Hybrid from Glendale, CA

We are not able to process Visa applicants for this role.

Job Summary

We are seeking a dynamic and highly skilled Senior Data Engineer to join our innovative data team. In this pivotal role, you will lead the development and optimization of large-scale data systems, ensuring seamless data flow, integrity, and accessibility across multiple platforms. Your expertise will drive strategic insights by designing robust data models, building scalable ETL pipelines, and leveraging cutting-edge cloud technologies. This position offers an exciting opportunity to influence data-driven decision-making processes and contribute to the evolution of our enterprise data architecture.

Responsibilities

8+ years of data engineering experience developing and operating large-scale data pipelines
Deep hands-on experience with Databricks and Apache Spark (batch and streaming), including pipeline development in PySpark and/or Scala
Strong understanding of Spark architecture—executors, stages, partitioning, shuffle, and performance tuning—with ability to explain tradeoffs to technical and non-technical stakeholders
Proficiency with Databricks platform tooling (API, SDK, CLI) for automation, auditing, governance, and operational troubleshooting
Proficient in SQL with advanced performance tuning capabilities
Hands-on production experience with Airflow (MWAA) for orchestrating data pipelines
Experience managing Databricks platform governance: ACLs, Unity Catalog, lineage, and access provisioning
Proficiency in Python and at least one additional language (Scala, Kotlin, or SQL-driven pipeline tooling)
Experience designing and optimizing scalable ETL/ELT pipelines integrating diverse structured and unstructured data sources
AWS-primary experience (compute, storage, networking, IAM); experience with other cloud providers is transferable
Proficiency with Docker and Kubernetes for building and maintaining containerized data platform services
Working knowledge of networking concepts to diagnose cross-platform integration and connectivity issues
Familiarity with Snowflake and comparable tooling relative to the Databricks ecosystem
Experience designing and implementing CI/CD and DevOps practices (Git-based workflows)
Experience implementing data quality checks, monitoring, and logging for pipeline reliability
Self-starting problem solver with strong analytical and communication skills; willingness to learn new tooling and trends
Familiar with Scrum and Agile methodologies
Experience with Snowflake is a plus
Bachelor’s Degree in Computer Science, Information Systems, or a related field, or equivalent work experience, Master’s Degree is a plus

Pay: $142,277.97 - $171,345.52 per year

Benefits:

401(k)
Dental insurance
Flexible schedule
Parental leave

Work Location: Hybrid remote in Glendale, CA 91201

Tavant Technologies, Inc.

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