Job Url: https://movement.wd1.myworkdayjobs.com/en-US/Careers/job/Nationwide/Staff-Data-Engineer_R-2515-1?utm_source=Simplify

Job Description: 
How you'll contribute:
Design, implement and test complex data integrations and transformation processes with nascent data sources while having a strong focus on accuracy, completeness, reliability and relevance.
Engineer, orchestrate and maintain complex data pipelines, catalogs, reports and dashboards using data platform tools

Building and optimizing data storage and processing systems, including data warehouses, data lakes, and NoSQL databases.

Continuously improving the performance, scalability, and reliability of data infrastructure.

Create and maintain technical documentation and metadata, especially for data assets.

Proactively triage operational alarms, exceptions, and failures while driving to the root cause, communicating with the right parties, contributing to the resolution and making improvements to prevent the problem from recurring.

Identify areas for improvements, recommend solutions, and drive those solutions to completion

Collaborate with cross-functional teams, stakeholders and customers to discover needs and define business requirements and goals

Develop and maintain relationships with key stakeholders across the organization, communicating insights, findings and recommendations

Lead the development and implementation of best practices, policies and procedures for data governance, data security, and data privacy

Provide thought leadership in the areas of data analysis, modeling, and visualization

Lead and mentor technologists

Who you are:
Bachelor's degree in a relevant field such as computer science, statistics, or mathematics; Master's degree preferred

10+ years of experience in data engineering, software development, or related field

Expertise in multiple programming languages such as Scala, Python, TypeScript, C# or Java

Expertise with big data technologies such as Databricks, Spark, Kakfa or Hadoop

Expertise with cloud technologies, such as AWS, GCP, or Azure.

Expertise with distributed systems, parallel processing, microservices, serverless and containerization technologies

Expert understanding of software engineering principles, data structures, and algorithms.

Expertise with modern source control, test automation and CI/CD tools and practices

Expertise in managing complex data infrastructure projects.

Expertise with SQL, data modeling, ELT, schema design, data warehousing and data visualization

Expertise with statistical analysis and problem solving techniques

Excellent communication and interpersonal skills

Strong leadership and project management skills

Be someone who stays up to date with emerging technologies and best practices and  drives your team to do the same

Experience leading and mentoring senior technologists