Lead Data Engineer - Pipelines, Spark Streaming and Spark Offline
Software Engineering, Data Science
Tampa, FL, USA
Join us as we embark on a journey of collaboration and innovation, where your unique skills and talents will be valued and celebrated. Together we will create a brighter future and make a meaningful difference.
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.
Job responsibilities
- 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
Required qualifications, capabilities, and skills
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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
- 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
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.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
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.
Maintain critical data pipelines and architectures across multiple technical areas as an integral part of an agile team