Data Engineer

Senior Data EngineerSoftware Resources has an immediate job opportunity for a Senior Data Engineer with a major corporation in Glendale, CA. Hybrid, 2 days onsite (candidate may select onsite days)Duration: 12+ monthsPay Rate: $90 -$93/hr DOEPosition OverviewSeeking an experienced Sr. Data Engineer to support enterprise data engineering initiatives. This individual will design, build, and optimize scalable data solutions while working closely with cross-functional teams to support data platform modernization efforts.Must-HavesDatabricks, Python, TerraformDescriptionAs a Senior Data Engineer at The Studios, you will be pivotal in transforming data into actionable insights. Collaborate with our dynamic team of technologists to develop cutting-edge data solutions that drive innovation and fuel business growth. You will own and operate the Core Data platform on Databricks, delivering reliable batch and streaming Spark pipelines, platform governance, and solution architecture across AWS, Kubernetes, and Airflow. Your expertise will be essential in explaining Spark architecture, recommending best-fit Databricks solutions to stakeholders, and optimizing our data-driven decision-making processes. If you're passionate about leveraging data to make a tangible impact, we welcome you to join us in shaping the future of our organization.Key ResponsibilitiesManage Databricks platform governance, including Unity Catalog, ACLs, lineage, and data discovery and privacy tooling Design, write, test, and deploy batch and streaming data pipelines using PySpark, Scala, SQL, Python, Kotlin Meet with stakeholders to gather requirements and translate them into scalable data platform solutions Understanding of Databricks platform and developer tooling to diagnose errors, audit platform activity, and automate updates across pipelines, objects, and integrations Ability to explain Spark architecture and pipeline behavior to stakeholders to diagnose root causes and recommend solutions Provide solution architecture across AWS, Databricks, Kubernetes, and Airflow (MWAA), including cross-platform integrations Build and maintain Kubernetes containers and containerized utilities supporting deployed data platform services Apply networking knowledge to troubleshoot connectivity and integration errors across platform components Perform platform administration: provision and remove access, assess resource utilization, monitor platform health and cost, and evaluate stakeholder requests Collaborate with engineers, architects, and product managers to drive Core Data platform success; participate in agile/scrum ceremonies Maintain documentation of platform changes, standards, and pipeline configurations to support data quality and governance Develop and maintain scalable data engineering solutions Build and enhance data pipelines and workflows Support cloud-based data platform initiatives Collaborate with engineering teams on system architecture and design Implement infrastructure automation and deployment standards Troubleshoot and optimize data processing environmentsQualifications5+ 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 Bachelor's Degree in Computer Science, Information Systems, or a related field, or equivalent work experience, Master's Degree is a plusRequired Qualifications• Strong experience with Databricks • Advanced Python development skills • Experience with Terraform and Infrastructure as Code • 5+ years of relevant data engineering experience • Ability to participate in architecture and system design discussions • Strong problem-solving and data platform implementation experiencePreferred Qualifications• Experience with AWS • Cloud-based data platform experience • Data pipeline optimization and automation expertiseRequired EducationBA/BSAbout Software ResourcesSoftware Resources, founded more than 3 decades ago, is a trusted staffing partner specializing in Technology (IT, Creative, & Marketing), Finance, & Accounting placements. We work with companies nationwide that need skilled professionals and connect them with candidates like you looking for the right opportunity. We are always looking for professionals at all experience levels and in various specialties to meet our clients' hiring needs. As a member of our team, you will have access to benefits including medical, dental, and vision coverage, a 401(k) with company match, short-term disability, life insurance with AD&D.