Data Engineer - Data Science Core

  • Not Specified
  • New York, NY, USA New York NY US
  • Permanent, Full time
  • BlackRock
  • 17 Apr 18 2018-04-17

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of December 31, 2017, the firm managed approximately $6.288 trillion in assets on behalf of investors

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of December 31, 2017, the firm managed approximately $6.288 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock.

Job Description:

BlackRock helps investors build better financial futures. As a fiduciary to our clients, we provide the investment and technology solutions they need when planning for their most important goals. As of December 31, 2017, the firm managed approximately $6.288 trillion in assets on behalf of investors worldwide. For additional information on BlackRock, please visit www.blackrock.com | Twitter: @blackrock | Blog: www.blackrockblog.com | LinkedIn: www.linkedin.com/company/blackrock.

Business Unit Overview: Data Science Core

BlackRock is accelerating innovation and technology in artificial intelligence and data science and all the potential they represent. The Data Science Core organization has been developed to address this need and systematically leverage data science and artificial intelligence techniques directly in our businesses. Data Science Core acts as central hub to formalize data science efforts under way and leverage artificial intelligence to solve high priority problems across the firm while driving consistent standards, best practices, and expanding BlackRock’s data science community.  Data Science Core will spearhead an initiative to accelerate how BlackRock uses artificial intelligence and associated disciplines – machine learning, data science, natural language processing – to improve outcomes and drive progress for investors, clients, and the firm.

We are looking for candidates with unique backgrounds and diverse skillsets with fresh perspectives to accelerate and amplify our efforts to make an impact at BlackRock. Data Science Core aims to bring best of class technologies, analytics, and insights to the entirety of the firm and to our clients utilizing data from a wide variety of sources including text, news feeds, financial reports, time series transactions, logs, imagery, and real-time data.

Check this out: BlackRock in the News

Job Description:

As a Data Engineer, you will improve BlackRock’s product and services suite by expanding and optimizing our data and data pipeline architecture. You will work with a multi-discipline, multi-region team of data scientists, engineers, and investment professionals on a corporate-wide set of client, investor, and operational problems. The position will bring analytical rigor and statistical methods to the challenges of measuring data flow performance on applications, through an understanding of the needs and behaviors of our systems, end users and clients. The successful candidate will be highly motivated to be part of a team that creates, optimizes, or redesigns data pipelines to support our next generation of products and data initiatives.

Responsibilities

  • Support in the creation and maintenance of optimized data pipeline architectures on large and complex data sets.
  • Develop analytic workflow performance for machine learning, natural language processing, graph, and related algorithms for data science team.
  • Assemble large, complex data sets that meet BlackRock business requirements.
  • Identify, design, and implement internal process improvements and relay to relevant technology organization.
  • Automate manual ingest processes and optimize data delivery subject to service level agreements; work with infrastructure on re-design for greater scalability.
  • Keep data separated and segregated according to relevant data policies.
  • Work with data scientists to develop data ready tools to support their job.
  • Assist in the development of business recommendations with effective presentation of findings at multiple levels of stakeholders using visual analytic displays of quantitative information. Communicate findings with stakeholders as necessary.

Qualifications:

  • BA or MS degree in a quantitative discipline (computer science, mathematics, statistics, economics, physics, engineering or related field)
  • Advanced working SQL knowledge and experience with relational databases.
  • Experience or Familiarity with Hadoop, Spark, Kafka, Accumulo, Celery
  • Experience or familiarity  with data pipeline and workflow management tools, Azkaban, Luigi, Airflow
  • Experience supporting and working across cross-functional teams in a dynamic work environment
  • Experience with OO or object scripting language such as Python, Java, Scala, C++
  • Experience with building and optimizing ‘big data’ pipelines, architectures, and data sets.

BlackRock is proud to be an Equal Opportunity and Affirmative Action Employer.  We evaluate qualified applicants without regard to race, color, national origin, religion, sex, sexual orientation, gender identity, disability, protected veteran status, and other statuses protected by law.

BlackRock will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the law, including any applicable fair chance law.