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.NET Developer - HYBRID - W2

SmartIMS Inc.Richmond, VA🇺🇸United States

Why this role stands out

This fully remote Senior Salesforce Developer role offers the chance to lead impactful technical initiatives and modernize a large-scale platform, perfect for experienced developers with architectural vision. You'll enjoy significant opportunities for skill development and contribute to a mission-critical system, so apply today to explore this exciting position!

Quick overview

SeniorityMid Senior
Work modeHybrid
LocationRichmond, VA, United States
DockerSQLGitETLCloudFormationGoogle CloudHadoopJenkinsPythonTerraformMachine LearningCI/CD

Job description

Primary Accountabilities

  • Leads an engineering team to meet project deadlines and priorities.
  • Supervises assigned data engineering team members & activities.
  • Ensures the quality, completeness, security, privacy, and integrity of data throughout the data lifecycle.
  • Documents critical workflows and operational support aspects of team’s responsibilities
  • Develops deep understanding of data sources, granularity, availability, and limitations.
  • Provides proactive technical oversight and advice to application architecture and development teams fostering re-use, design for scale, stability, and operational efficiency of data/analytical solutions.
  • Creates maintainable, scalable code to load and manipulate data in the data warehouse.
  • Facilitates communication upward and across project teams and business stakeholders.

Specialized Knowledge & Skills Requirements

  • Demonstrated experience providing customer-driven solutions, support or service.
  • Must have Google Cloud Platform experience for this position.
  • In-depth knowledge of SQL or NoSQL and experience using a variety of data stores (e.g. RDBMS, analytic database, scalable document stores)
  • Extensive hands-on Python programming experience, with an emphasis towards building ETL workflows and data-driven solutions.
  • Able to employ design patterns and generalize code to address common use cases. 
  • Capable of authoring robust, high quality, reusable code and contributing to the division’s inventory of libraries.
  • Expertise in big data batch computing tools (e.g. Hadoop or Spark), with demonstrated experience developing distributed data processing solutions.
  • Knowledge of open source machine learning toolkits, such as sklearn, SparkML, or H2O.
  • Solid data understanding and business acumen in the data rich industries like insurance or financial
  • Applied knowledge of data modeling principles (e.g. dimensional modeling and star schemas).
  • Strong understanding of database internals, such as indexes, binary logging, and transactions.
  • Experience using tools for infrastructure-as-code (e.g. Docker, CloudFormation, Terraform, etc.)
  • Experience with software engineering tools and workflows (i.e. Jenkins, CI/CD, git).
  • Practical experience authoring and consuming web services.

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