An employer is looking for a Sr. Data Engineer to join a growing Integrity Management team at a Utilities client in the Southern California area. This is a team of 9, who works to support the data requests of the Threat & Risk team. As a Sr. Data Engineer, you will help lead the design, development, implementation, maintenance, and enhancement of full cycle of data services integration/transport, processing and/or visualization and associated systems to support the analytics needs of data/business analysts or data scientists. Consults with and provides technical guidance to business partners, IT peer teams, regarding data requirements, design, processes and technical solutions.
This Engineer will lead analytics project workstreams and/or smaller integration or visualization projects. You will work with multiple business subject areas/data domains, and applies expertise in multiple technology stacks and data services capabilities. Lead efforts to design, build, maintain, and troubleshoot data pipelines and processing systems to analytics applications. Lead small data analytics projects or initiatives. Manage the data catalog, metadata repository and any associated data management efforts
Compile data requirements, perform data analysis and logical data modeling, define data and object elements. Build and scale data ingestion and transformation processes, to include batch (ETL, ELT), streaming, and/or virtualization.
Monitor and report to management on the status of project efforts, anticipating and identifying issues that inhibit the attainment of project goals and implementing corrective actions. Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
This position is HYBRID (3 days onsite at Anaheim facility)
Salary Range - 120-155k
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- Bachelor's Degree in Computer Science, Information Systems, Statistics or another quantitative field
- Minimum 6 years of professional experience in Data Engineering
- Experience with Object-oriented programming or scripting languages desired (e.g., Python, Java, C++, Scala)
- Proven experience acting as a technical lead with ability to mentor and lead data engineers.
- Strong analytic skills related to working with structured and unstructured datasets.
- Industry experience within Utilities (Power/Electric or Gas)
- Experience building and optimizing big data pipelines, architectures and data sets
- Working knowledge of SQL and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases tools.
- Expertise in Data integration tools such as SAP Data Services, Informatica, and MS SSIS
Benefit packages for this role will start on the 31st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.