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Analytics Engineer

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Salary

The base pay for this position is $81,500.00 – $141,300.00

Location

Sylmar, CA

Posted

Today

Develop, constructs, tests, and maintains data architectures such as databases and large-scale processing systems, where the focus is on infrastructure and data flow management. They are responsible for building & maintaining data pipelines (ETL processes; ensuring data quality & reliability; designing and managing data warehouses and databases; and integrating data from various sources. Data engineers create the systems and structures that allow data to be collected, stored, & processed efficiently

Core job responsibilities

  • Assists in the deployment and monitoring of data pipelines and workflows under guidance from senior engineers.
  • Supports basic data quality initiatives & integration through testing and validation processes.
  • Builds basic analytic data sets for exploration and modeling.
  • Assists in the implementation of data security measures, compliance, standards, and policies.
  • Documents data processes, procedures, and workflows for knowledge sharing.
  • Assist with data pipeline development, data cleaning and preprocessing.
  • Works with Sr Engineers to understands how business needs are converted into analytical/technical requirements; provides input to data gathering.
  • Assists in the scoping, planning and delivery of projects.
  • Assists in data collection and cleansing efforts; focused on building and maintaining the infrastructure processes that automate data collection and cleansing.
  • Understands the fundamentals of big data storage and distribution systems and relevant software tools, their constraints, advantages and disadvantages.
  • Maintains awareness of trends and best practice approaches

Supervisory / management responsibility

  • Receives specific direction and guidance from more experienced team members. Adapts to changing priorities as they arise.
  • Completes own work details and assignments of low complexity and guidance from senior level engineers.
  • Collaborates for results and participates in idea-sharing and solution development.
  • Escalates issues to more senior colleagues as required.
  • Works well with others in a collaborative, goal-driven environment.

Position accountability/ scope

  • Contributes to multiple projects to support analytical tasks, with a moderate to high level of support provided by colleagues.
  • Relevant skills include data mining, informatics, programming, information retrieval, databases and data structures, software engineering and systems design analysis.
  • Familiar with a range of mainstream commercial and open-source data tools, their constraints, advantages, disadvantages and areas of application; Has intermediate skill in using at least one such tool.
  • Familiar with data and statistical programming languages (such as SQL, SAS, R and Python). Basic programming skills. Ability to interpret an existing script of moderate complexity
  • Conducts data acquisition from relational databases and flat files.
  • Wrangles low-complexity data, selecting appropriate techniques, such as parsing, or an algorithm, to create a data structure relevant to the problem.
  • Seeks mentorship opportunities in the organization to gain a diverse perspective.

Education

  • Bachelors Degree (± 16 years)
  • Computer Science, Information Technology, Data Analytics, Data Science or similar discipline including Databases, Mathematics, Statistics, Physics, or Engineering is preferred

Experience / background

  • Minimum 1 year
  • Work experience with degree; or sufficient transferable experience to demonstrate functional equivalence to a degree
  • Training using mathematical modeling and statistical analysis
  • Basic experience of database applications
  • Basic knowledge of several tools (such as SAS, R or Python, SQL)
  • Prior experience/education in life sciences or healthcare preferred
  • Proficiency in HTML, CSS, JavaScript, modern web frameworks (React, Angular, or Vue), database technologies, and cloud platforms such as Azure or AWS.
  • Experience developing applications that support manufacturing operations, production reporting, or process improvement is highly desirable.

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