Prudential Financial-posted 3 months ago
$138,500 - $206,000/Yr
Full-time • Mid Level
Newark, NJ

As a Lead Data Engineer, you will partner with talented architects, infrastructure engineers, machine learning engineers, data scientists and data analysts to improve major products and services. You will analyze, design, develop, test, and perform ongoing maintenance to build high quality data pipelines that drive platform delivery. You will implement capabilities to solve sophisticated business problems, deploy innovative products, services and experiences to delight our customers! In addition to advanced technical expertise and experience, you will bring excellent problem solving, communication and teamwork skills, along with agile ways of working, strong business insight, an inclusive leadership attitude and a continuous learning focus to all that you do.

  • Build and optimize data pipelines, logic and storage systems with latest coding practices and industry standards and modern design patterns and architectural principles; remove technical impediments.
  • Develop high quality, well documented and efficient code adhering to all applicable Prudential standards.
  • Conduct complex data analysis and report on results, prepare data for prescriptive and predictive modeling, combine raw information from different sources.
  • Collaborate with data analysts, scientists, and architects on data projects to enhance data acquisition, transformation, organization processes, data reliability, efficiency, and quality.
  • Write unit, integration tests and functional automation, researching problems discovered by quality assurance or product support, developing solutions to address the problems.
  • Bring a strong understanding of relevant and emerging technologies, provide input and coach team members and embed learning and innovation in the day-to-day.
  • Work on complex problems in which analysis of situations or data requires an evaluation of intangible variables.
  • Bachelor of Computer Science or Engineering or experience in related fields.
  • Experience in working with DevOps automation tools & practices; Knowledge of full software development life cycle (SDLC).
  • Ability to coach others with minimal guidance and effectively leverage diverse ideas, experiences, thoughts and perspectives to the benefit of the organization.
  • Knowledge of business concepts tools and processes that are needed for making sound decisions in the context of the company's business.
  • Ability to learn new skills and knowledge on an ongoing basis through self-initiative and tackling challenges.
  • Excellent problem solving, communication and collaboration skills; enjoy learning new skills!
  • Advanced experience and/or expertise with several programming languages including Python, R, SQL, Java, Scala, Pyspark/Apache Spark, Shell scripting.
  • Experience with Data Ingestion, Integration & Transformation.
  • Knowledge of Database Management Systems and experience with SQL and NoSQL based databases.
  • Experience with Real-Time Analytics, Data Buffering, Workflow Orchestration, Data Visualization, Data Lakes & Warehousing, and Data Protection and Security.
  • Familiarity with Common Infrastructure as Code (IaC) Frameworks and Cloud Computing principles.
  • Serverless data pipeline development using AWS Glue, Lambda and Step functions.
  • Market competitive base salaries, with a yearly bonus potential at every level.
  • Medical, dental, vision, life insurance, disability insurance.
  • Paid Time Off (PTO), and leave of absences, such as parental and military leave.
  • 401(k) plan with company match (up to 4%).
  • Company-funded pension plan.
  • Wellness Programs including up to $1,600 a year for reimbursement of items purchased to support personal wellbeing needs.
  • Work/Life Resources to help support topics such as parenting, housing, senior care, finances, pets, legal matters, education, emotional and mental health, and career development.
  • Education Benefit to help finance traditional college enrollment toward obtaining an approved degree and many accredited certificate programs.
  • Employee Stock Purchase Plan: Shares can be purchased at 85% of the lower of two prices after one year of service.
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