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Software Engineer [Multiple Positions Available]

J.P. Morgan

Boston, MAFull-time$186–215K/yrPosted 3 days agoVerified open 1 day ago

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At a glance

Compensation
$186–215K/yr
Location
Boston, MA
Schedule
Full-time
Work Authorization
Not specified

Requirements

Credentials this posting asks for.

Bachelor's degree

Job overview

The role designs and implements scalable data processing, analytics, and machine learning workflows, builds and manages ETL and ingestion pipelines, ensures data quality, and creates visualizations to support decision‑making while collaborating with data scientists, analysts, and product teams.

Skills & qualifications

RequiredNice to have

Skills

JenkinsApache KafkaAWS LambdaSplunkGrafanaDatadogApache JMeterJavaPythonAWSAWS PipelinesGitHub ActionsGitKafkaKinesisS3LambdaGlueEC2CloudWatchJMeter

Qualifications

Bachelor's Degree in Information Technology, Computer Science, Data Analytics or Related Field7 Years Experience in Software Engineering or Related Occupation

Benefits

Medical Insurance
401(k) Match
Tuition Assistance

Full job description

DESCRIPTION: Duties: Design and implement scalable data processing, analytics, and machine learning workflows. Build and manage ETL and data ingestion pipelines to bring diverse datasets into the cloud while maintaining data quality and consistency. Build, optimize, and maintain scalable data infrastructure and cloud-native pipelines to ensure data is clean, reliable, and prepared for Al, machine learning, and analytics. Oversee end-to-end data flow, integration, transformation, and storage while implementing quality controls and troubleshooting to ensure data integrity and performance. Perform data modeling and exploratory data analysis to prepare and analyze data for machine learning solutions and deploy machine learning models. Create dashboards and visualizations to support data-driven decision-making and transform raw data into actionable insights. Maintain product backlogs and document processes to support strategic and operational needs. Collaborate with stakeholders including data scientists, analysts, product managers, and engineering teams to gather requirements, deliver solutions, and communicate project status and risks. Develop, review, and debug code. QUALIFICATIONS: Minimum education and experience required: Bachelor's degree in Information Technology, Computer Science, Data Analytics or related field of study plus 7 years of experience in the job offered or as Software Engineer, Technical Lead, IT Consultant, or related occupation. Skills Required: This position requires five (5) years of experience with the following: Developing applications using Java and Python; Building, deploying, and maintaining enterprise grade data solutions at scale on AWS; Delivering system design, application development, testing, and operational stability using Agile methodologies; Delivering CI/CD processes using Jenkins, AWS Pipelines, GitHub Actions, and version control systems such as Git; Designing and implementing data ingestion pipelines to stream datasets into the cloud data platform using Kafka or Kinesis; Building and managing ETL pipelines; Storing, computing, and orchestrating data using AWS cloud services including S3 for storage, AWS Lambda for event processing, AWS Glue for extract, transform, load and cataloging, and Amazon EC2 for custom or resource intensive processing; Implementing quality controls and troubleshooting issues to maintain data integrity and performance using tools such as Splunk, Grafana, Datadog, AWS CloudWatch, or JMeter. Job Location: 70 Fargo Street, Boston, MA 02210. Full-Time. Salary: $186,160 - $215,000 per year. 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.

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. Design and implement scalable data processing, analytics, and machine learning workflows.

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