Lead Data Engineer - Pipelines, Spark Streaming and Spark Offline

JPMorgan Chase & Co.
Tampa, FL, United States
about 1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours

Tech stack

Artificial Intelligence Amazon Web Services Business Analytics Applications Big Data Cloud Engineering Computer Programming Data as a Services Information Engineering Extract Transform Load (ETL) Data Security Data Systems Data Warehousing
+23 more
Distributed Systems Apache Hadoop Information Lifecycle Management Python (Programming Language) NoSQL Software Systems Data Processing Feature Engineering Flask (Web Framework) Apache Spark Data Lakes Pyspark Kubernetes Apache Flink Integration Frameworks Apache Kafka Spark Streaming Data Management Stream Processing Data Pipelines AWS EKS Docker Databricks

Job description

As a Lead Data Engineer at JPMorganChase within the Commercial & Investment Bank, you are an integral part of an agile team that works to enhance, build, and deliver data collection, storage, access, and analytics solutions in a secure, stable, and scalable way. As a core technical contributor, you are responsible for maintaining critical data pipelines and architectures across multiple technical areas within various business functions in support of the firm’s business objectives., * Collaborate with all of JPMorgan’s lines of business and functions to delivery software solutions

  • Experiment, Architect, develop and productionize efficient Data pipelines, Data services and Data platforms contributing to the business
  • Design and implement highly scalable, efficient and reliable data processing pipelines and perform analysis and insights to drive and optimize business result
  • Design and develop features and entities for ML and rule using spark or any bigdata environment
  • Acts on previously identified opportunities to converge physical, IT, and data security architecture to manage access
  • Applies reuse-first, AI-assisted practices within delivery and operational routines (e.g., backup/recovery validation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations

Requirements

  • Formal training or certification on Data Engineering concepts and 5+ years applied experience
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity
  • Ability to review and validate AI-assisted outputs (e.g., model/design summaries or operational checklists) before use, escalating when uncertain and following data handling requirements
  • Experienced programming skills with Python, PySpark
  • Experience across the data lifecycle, building Data frameworks, working with Data lakes
  • Experience with Batch and Real time Data processing with Spark or Flink and Batch and Real time feature engineering with Spark or Flink or data brick
  • Working knowledge of AWS Glue and EMR usage for Data processing and real time data processing and features using Flink or Data brick live tables or Spark streaming
  • Experience working with Databricks and data brick live tables
  • Experience working in building services using Glue, Lamida, EMR or Flask, and deploying them on AWS EKS or Kubernetes
  • Working experience with both relational and NoSQL databases
  • Experience in ETL data pipelines both batch and real-time data processing, Data warehousing, NoSQL DB

Preferred qualifications, capabilities, and skills

  • Expertise in Amazon Web Services (AWS), Docker, and Kubernetes for cloud-native and containerized data solutions
  • Experience in big data technologies: Hadoop, Spark, Kafka, Flink
  • Experience in distributed system design and development

Benefits & conditions

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

About the company

JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management., J.P. Morgan’s Commercial & Investment Bank is a global leader across banking, markets, securities services and payments. Corporations, governments and institutions throughout the world entrust us with their business in more than 100 countries. The Commercial & Investment Bank provides strategic advice, raises capital, manages risk and extends liquidity in markets around the world.

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