Corp. Services: Data Engineer Job at B. Riley Financial

B. Riley Financial Remote

B. Riley Financial (“B. Riley”) provides collaborative solutions tailored to fit the capital raising and business advisory needs of its clients and partners. B. Riley operates through several subsidiaries that offer a diverse range of complementary end-to-end capabilities spanning investment banking and institutional brokerage, private wealth and investment management, financial consulting, corporate restructuring, operations management, risk and compliance, due diligence, forensic accounting, litigation support, appraisal and valuation, auction and liquidation services. B. Riley is headquartered in Los Angeles with offices across the U.S. as well as an international presence.

At B. Riley Financial, we are building the next generation data infrastructure that will support our growing business intelligence and application development initiatives. One of the key roles for building and supporting this infrastructure will be the DevOps Data Engineer. This role will manage the internal data infrastructure on which we run our business. This includes capacity planning, installation, automation, configuration, migration, and operational duties such as availability monitoring, deployments, performance, security and enforcing segregation of duties for developer access to production. We are a small, highly capable development team backed up by offshore resources as needed.

Required Skills and Expertise:

  • Create and maintain optimal data pipeline architecture,
  • Assemble large, complex data sets that meet functional / non-functional business requirements.
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
  • Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
  • Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
  • Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

Education, Experience and additional skills that would be a plus:

  • Bachelor’s degree in computer science or related field
  • At least five (5) years experience in data engineering, or the equivalent combination of education and experience.
  • Proficiency in Python, C++, Java, R, and/or SQL.
  • Familiarity with Hadoop or suitable equivalent.
  • Excellent analytical and problem-solving skills.
  • Capacity to successfully manage a pipeline of duties with minimal supervision.
  • Microsoft SSRS
  • Power BI
  • Experience working at an investment bank
  • Experience with large data infrastructures

B. Riley Financial, Inc. employees enjoy competitive salaries, access to our 401(k) profit-sharing retirement plan, and our other benefits including paid holidays, vacation, and sick leave, voluntary group medical, dental, and vision insurance, and company-paid life and disability coverage.

Job Type: Full-time

Benefits:

  • 401(k)
  • 401(k) matching
  • Dental insurance
  • Flexible spending account
  • Health insurance
  • Health savings account
  • Life insurance
  • Paid time off
  • Professional development assistance
  • Referral program
  • Retirement plan
  • Vision insurance

Compensation package:

  • Bonus pay

Schedule:

  • Day shift

Education:

  • Bachelor's (Required)

Experience:

  • SQL: 3 years (Required)
  • Power BI: 3 years (Required)
  • SSIS: 3 years (Preferred)

Work Location: Remote




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