Data Engineer [Multiple Positions Available]

Duties: Identify, analyze, and interpret trends/patterns in complex data sets acquired from various data sources and extract, transform, and load data. Enforce guidelines to ensure consistency, quality, and completeness of data assets. Work on the migration of infrastructure, data, and applications out of legacy data centers into cloud and hybrid environments. Design and implement data pipelines. Develop and maintain data processing and transformation scripts. Build and maintain data warehouses and data lakes. Deliver work products on time and on budget while applying quality assurances best practices.

Minimum education and experience required: Master's degree in Management Information Systems, Computer Science, Data Analytics, Business Analytics, or related field of study plus 3 years (36 months) of experience in the job offered or as Data Engineer, Systems Engineer, Software Engineer, Data Analyst, or related occupation.

Skills Required: This position requires experience with the following: conducting data engineering, automation, orchestration, and full-stack integration across on-premise and cloud environments; designing, developing, and maintaining scalable ETL and data-pipeline frameworks using AWS including Glue, EMR, Lambda, S3, Redshift, and CloudFormation and Databricks for large-scale analytical and streaming workloads; leveraging Apache Spark, Kafka, Hadoop, Hive, and Airflow for batch and real-time data ingestion, transformation, and scheduling; using Python, SQL, Java, PL/SQL, and Unix shell scripting to build reusable frameworks for data validation, testing, automation, and performance tuning; infrastructure provisioning and configuration management using Ansible, and continuous integration/deployment through Jenkins, Spinnaker, Jules, and Terraform (TFE); implementing data masking, lineage, and entitlement governance via Immuta; orchestrating workloads with Kubernetes; integrating datasets through RESTful APIs to downstream systems and applications; supporting the development of automation dashboards, monitoring utilities, and data-driven microservices using ReactJS, Redux, Node.js, and JavaScript frameworks; ensuring data reliability and SLA compliance through production job monitoring, incident resolution, and ticket management using ServiceNow and JIRA; preparing curated datasets for reporting and visualization; optimizing data models across Redshift, Oracle, PostgreSQL, MySQL, and Cassandra; operating under Agile SDLC methodology, ensuring automation, scalability, governance, and continuous improvement of data engineering processes and infrastructure.

Job Location: 8181 Communications Parkway, Plano, TX 75024.

Full-Time.

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.

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.