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data engineer python pyspark full time only

Programmers.io

<div>
 
 
 
 Role: Data Engineer - Python/PySpark
 
 
 
 
 
 
 Location: Jersey City, NJ (3 Days onsite/week)
 
 
 
 
 
 
 
 
 
 
 
 Job Description:
 
 
 
 
 
 Job Requirements*
 
 
 
 - 3&ndash;6 years of experience as a Data Engineer with strong Python and PySpark expertise
 
 
 - Experience building scalable ETL/ELT pipelines in big data environments
 
 
 - Strong understanding of KYC/AML and Client Onboarding domains
 
 
 - Hands-on experience with Spark, Hadoop, Kafka, and cloud platforms
 
 
 - Solid knowledge of SQL and NoSQL databases
 
 
 
 
 
 Key Responsibilities*
 
 
 
 Design, develop, and maintain scalable data pipelines
 
 
 - Process large volumes of structured and unstructured data
 
 
 - Implement KYC/AML data solutions supporting client lifecycle management
 
 
 - Optimize Spark jobs for performance and reliability
 
 
 - Collaborate with cross-functional agile teams and stakeholders
 
 
 
</div>

Data Engineer - Python/PySpark - Full Time Only

JPMorganChase

<div>JOB DESCRIPTION 
Bring your Software Engineering experience to the next level and join The Machine Learning Center of Excellence (MLCOE) Team.
Join JPMorganChase&rsquo;s MLCOE to turn cutting-edge AI into production at enterprise scale.
The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector &ndash; AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities
<ul><li>Designs, develops and maintains production grade software</li><li>
Engineers data pipelines to ingest and transform large volumes of data.</li><li>
Feeds processed data into machine learning model pipelines.</li><li>
Stores resulting data in data warehouses and data lakes.</li><li>
Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.</li><li>
Deploys complete systems into production environments.</li><li>
Resolves production issues within a 5-hour SLA.</li><li>
Adds new features and maintains product code to ensure ongoing system performance and reliability.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Proficiency in Python coding
</li><li>Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.</li><li>
Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.</li><li>
Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).</li><li>
Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.</li><li>
Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.</li><li>
Data manipulation, structuring, design flow, and query optimization using SQL and Python.</li><li>
Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.</li><li>
Developing software or microservices deployed as REST APIs.</li><li>
Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.</li><li>
Developing and automating high-performance, large-scale data processing systems.
</li></ul>Preferred qualifications, capabilities, and skills<ul><li>
Familiarity with recent large language model technologies</li><li>
Familiarity with engineering systems using large language models</li><li>
Familiarity with LLM tools such as Langchain or Haystack</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; 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 &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer- (Python)

<div>JOB DESCRIPTION 
Join JPMorganChase&rsquo;s MLCOE to turn cutting-edge AI into production at enterprise scale.
The Machine Learning Center of Excellence (MLCOE) team partners across the firm to create and share Machine Learning Solutions for our most challenging business problems. In this role you will work and collaborate with a team comprised of a multi-disciplinary community of experts focused exclusively on Machine Learning. On this team you will work with cutting-edge techniques in disciplines such as Deep Learning and Reinforcement Learning.
As a Lead Software Engineer at JPMorgan Chase within the Corporate Sector &ndash; AIML Data Platforms and Machine Learning Center of Excellence Team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities
<ul><li>Designs, develops and maintains production grade software</li><li>
Engineers data pipelines to ingest and transform large volumes of data.</li><li>
Feeds processed data into machine learning model pipelines.</li><li>
Stores resulting data in data warehouses and data lakes.</li><li>
Design sand implements end-to-end machine learning model pipelines, from data input to serving outputs to a large user base.</li><li>
Deploys complete systems into production environments.</li><li>
Resolves production issues within a 5-hour SLA.</li><li>
Adds new features and maintains product code to ensure ongoing system performance and reliability.</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Infrastructure design for large-scale machine learning model deployment using tools like Terraform or AWS Infrastructure as Code.</li><li>
Building metrics and setting up AWS CloudWatch monitors and alarms for infrastructure and application performance.</li><li>
Working with data lakes (Amazon S3) and data warehouses (AWS Redshift).</li><li>
Utilizing AWS services and CI/CD pipelines for deploying and maintaining machine learning applications.</li><li>
Developing dynamic, interactive dashboards with Tableau or Qlik Sense, including advanced visualization, ETL automation, and ODBC connectors.</li><li>
Data manipulation, structuring, design flow, and query optimization using SQL and Python.</li><li>
Processing large datasets with data containers, multithreading, and multiprocessing in PySpark and TensorFlow.</li><li>
Developing software or microservices deployed as REST APIs.</li><li>
Using AWS Kinesis and Firehose for large-scale data ingestion and ETL with AWS Glue.</li><li>
Developing and automating high-performance, large-scale data processing systems.</li></ul>
Preferred qualifications, capabilities, and skills
<ul><li>Familiarity with recent large language model technologies</li><li>
Familiarity with engineering systems using large language models</li><li>
Familiarity with LLM tools such as Langchain or Haystack</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; 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 &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer - Python AWS GenAI

<div>JOB DESCRIPTION 
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer III at JPMorganChase within the Corporate Technology Financial Planning and Analysis team, you serve as a seasoned member of an agile team to design and deliver trusted market-leading technology products in a secure, stable, and scalable way. You are responsible for carrying out critical technology solutions across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
Job responsibilities<ul><li>
Executes software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems</li><li>
Creates secure and high-quality production code and maintains algorithms that run synchronously with appropriate systems</li><li>
Produces architecture and design artifacts for complex applications while being accountable for ensuring design constraints are met by software code development</li><li>
Work closely with data scientists and analysts to comprehend data requirements and deliver solutions that align with business objectives</li><li>
Optimize and troubleshoot data workflows to ensure high performance and reliability</li><li>
Implement best practices for data governance, security, and compliance</li><li>
Utilize Databricks for advanced data processing and analytics tasks, while monitoring and managing data infrastructure to ensure scalability and cost effectiveness</li><li>
Document data processes and workflows to promote transparency and facilitate knowledge sharing</li><li>
Proactively identifies hidden problems and patterns in data and uses these insights to drive improvements to coding hygiene and system architecture</li><li>
Contributes to software engineering communities of practice and events that explore new and emerging technologies</li><li>
Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul>
Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 3+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Design and implement data solutions on AWS, utilizing services such as S3, EKS/ECS, Lambda</li><li>
Strong development experience in Python or Java</li><li>
Expertise in PySpark/Spark and familiarity with big data frameworks
</li><li>Hands-on experience with AWS services and cloud-based data solutions</li><li>
Experience with database technologies such as SQL, PostgreSQL, or DynamoDB</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Overall knowledge of the Software Development Life Cycle</li><li>
Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security</li><li>
Demonstrated knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Experience with data warehousing solutions and ETL processes</li><li>
Proficiency in data visualization tools and techniques</li><li>
Familiarity with Databricks and its ecosystem
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; 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 &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Software Engineer III- Python/PySpark

<div>JOB DESCRIPTION 
You&rsquo;re ready to gain the skills and experience needed to grow within your role and advance your career &mdash; and we have the perfect software engineering opportunity for you.
As a Software Engineer II at JPMorganChase within the Consumer and Community Banking Data Technology Team, you are part of an agile team that works to enhance, design, and deliver the software components of the firm&rsquo;s state-of-the-art technology products in a secure, stable, and scalable way. As an emerging member of a software engineering team, you execute software solutions through the design, development, and technical troubleshooting of multiple components within a technical product, application, or system, while gaining the skills and experience needed to grow within your role.
Job responsibilities<ul><li>
Executes standard software solutions, design, development, and technical troubleshooting
</li><li>Develop secure, high-quality production code; review, debug, and improve code written by other engineers.</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation</li><li>
Applies technical troubleshooting to break down solutions and solve technical problems of basic complexity
</li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li><li>
Identify recurring issues and implement automation or permanent fixes to reduce remediation effort and improve application/system stability.</li><li>
Partner with cross-functional teams to design and deliver efficient data pipelines supporting data-driven initiatives.</li><li>
Apply data engineering best practices to ensure data quality, reliability, scalability, and performance</li><li>
Contribute to data modernization by leveraging cloud capabilities and optimizing data processing workflows.</li><li>
Perform data extraction and implement complex transformation logic to meet business and reporting requirements and use advanced analytical skills to continuously enhance pipeline efficiency and ensure consistent data delivery across projects.</li><li>
Monitor pipelines and execute data quality checks to proactively detect, investigate, and resolve data anomalies. and ensure timely data availability and high accuracy to support analytics and decision-making needs.
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 2+ years applied experience</li><li>
Experience with ETL tools such as Ab Initio, Informatica, and Data Pipeline, as well as workflow orchestration tools (e.g., Airflow)</li><li>
Strong hands-on development experience with PySpark, Python, and AWS</li><li>
Experience working with modern data lake platforms (e.g., Snowflake, Databricks)</li><li>
Proven, hands-on experience across system design, application development, testing, and ensuring operational stability</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability</li><li>
Proficiency with automation and continuous delivery (CI/CD) practices and methods</li><li>
Experience in developing, debugging, and maintaining code in a large corporate environment with one or more modern programming languages and database querying languages</li><li>
Demonstrable ability to code in one or more languages</li><li>
Experience across the whole Software Development Life Cycle
</li><li>Emerging knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
In-depth knowledge of the financial services industry and their IT systems</li><li>
Practical cloud native experience</li><li>
</li></ul>ABOUT US 
Chase is a leading financial services firm, helping nearly half of America&rsquo;s households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
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&rsquo; and employees&rsquo; religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans 
 
 
ABOUT THE TEAM 
 
Our Consumer &amp; Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We&rsquo;re proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions &ndash; all while ranking first in customer satisfaction.</div>

Data Software Engineer II - PySpark/ETL/AWS/

<div>JOB DESCRIPTION 
About the role JPMorgan Chase&rsquo;s Asset &amp; Wealth Management Finance organization is building the next generation of agentic AI solutions that act as &ldquo;digital workers&rdquo; for forecasting, analytics, and decision support.
As a Senior Data Science Associate, you will design, deploy, and scale large language model (LLM) agents that turn complex finance questions into trusted, actionable insights.
Job responsibilities<ul><li>
Build production LLM agents for finance workflows using techniques such as retrieval‑augmented generation (RAG), tool use, and multi‑step reasoning.</li><li>
Develop robust data and inference pipelines in Python and SQL; integrate agents with APIs, microservices, and BI applications.</li><li>
Implement evaluation frameworks and guardrails: offline and online tests, automatic metrics (factuality, grounding, hallucination rate), human‑in‑the‑loop reviews, red‑team testing, and observability.</li><li>
Optimize for scale, latency, and cost across cloud environments; leverage vector databases and embeddings for efficient retrieval.</li><li>
Partner with Finance, Product, and Engineering to identify high‑value use cases; translate ambiguous problems into measurable outcomes.</li><li>
Apply solid ML engineering and MLOps practices (versioning, CI/CD, model registry, monitoring, incident response).</li><li>
Document systems, deliver enablement materials, and upskill partners; contribute to standards for privacy, security, and model risk governance.</li></ul>
Required qualifications, capabilities and skills<ul><li>
6+ years in data/ML roles, including 3+ years building and operating production ML applications; hands‑on experience with LLMs.</li><li>
Strong Python and SQL.</li><li>
Practical knowledge of RAG, prompt engineering, fine‑tuning, function/tool calling, and vector stores.</li><li>
Experience with cloud platforms (e.g., AWS, Azure, or GCP) and modern data stacks (e.g., Databricks or Snowflake).</li><li>
Familiarity with LLM frameworks and orchestration (e.g., LangChain or LlamaIndex) and REST/GraphQL API design.</li><li>
Proficiency in analytics and applied statistics; ability to design experiments and evaluate business impact.</li><li>
Excellent communication and stakeholder management; comfort working across Finance, Technology, and Operations.</li></ul>
Preferred qualifications, capabilities and skills<ul><li>
Experience building multi‑agent systems, autonomous workflows, or task planners.</li><li>
Eexperience with PySpark or distributed compute.</li><li>
Knowledge of model safety, bias, and privacy techniques; experience with model risk management and governance.</li><li>
Exposure to observability tools (logging, tracing, telemetry) and A/B testing.</li><li>
Background integrating agents with BI/reporting and workflow tools; familiarity with Tableau or similar is a plus.</li><li>
Experience with GPUs/accelerators, containerization, and infrastructure‑as‑code.</li></ul>
What success looks like<ul><li>
90 days: deliver a pilot finance agent with RAG and evaluation metrics, integrated with key data sources and APIs.</li><li>
6 months: scale agents across multiple workflows, establish guardrails and monitoring, and demonstrate clear improvements in cycle time, accuracy, or user satisfaction.</li></ul>
ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; 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 &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
</div></div></div> 
 
ABOUT THE TEAM 
 
J.P. Morgan Asset &amp; Wealth Management delivers industry-leading investment management and private banking solutions. Asset Management provides individuals, advisors and institutions with strategies and expertise that span the full spectrum of asset classes through our global network of investment professionals. Wealth Management helps individuals, families and foundations take a more intentional approach to their wealth or finances to better define, focus and realize their goals.</div>

Senior Associate -Applied AI Data Scientist

<div>JOB DESCRIPTION 
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Lead Software Engineer at JPMorganChase within the Corporate - Risk Technology, you are an integral part of an agile Data Platform and Strategy Team driving the design, development, and delivery of advanced data engineering solutions and market-leading technology products. With a strong SRE mindset, you will champion reliability, scalability, and operational excellence across multiple technical domains, ensuring our systems are robust, secure, and resilient. You will lead critical technology initiatives, proactively address system reliability challenges, and foster a culture of continuous improvement and automation, supporting the firm&rsquo;s business objectives through innovative engineering leadership
Job responsibilities
<ul><li>Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
</li><li>Develops secure high-quality production code for data-intensive applications, and reviews and debugs code written by others
</li><li>Drives the implementation of SRE best practices, including automated monitoring, alerting, and self-healing mechanisms to ensure high availability and reliability of data platforms
</li><li>Leads root cause analysis and post-incident reviews, collaborating with other engineering team members to develop long-term solutions that prevent recurrence and improve system resiliency
</li><li>Mentors and guides other engineering team members in adopting SRE principles, fostering a culture of reliability, automation, and continuous improvement
</li><li>Collaborate with product, engineering, and operations teams to define and measure service level objectives (SLOs), service level indicators (SLIs), and error budgets
</li><li>Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
</li><li>Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies
</li><li>Adds to team culture of diversity, opportunity, inclusion, and respect</li></ul> 
Required qualifications, capabilities, and skills
<ul><li>Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Proficiency in Engineering &amp; Architecture, AI/ML with hands-on experience in designing, implementing, testing, and ensuring the operational stability of large-scale enterprise data platforms and solutions
</li><li>Demonstrated expertise in applying SRE principles to drive reliability engineering, automation, and operational excellence within complex technical environment
</li><li>Deep understanding of distributed systems, cloud-native architectures, and large-scale data processing, with hands-on expertise in Java, Python, and big data technologies (e.g., Spark/PySpark, Databricks, Snowflake)
</li><li>Hands-on practical experience delivering system design, application development, testing, and operational stability
</li><li>Experience in developing, debugging, and maintaining code (preferably in a large corporate environment) with one or more modern programming languages and database querying languages with good overlap of application &amp; DB.
</li><li>Strong background in observability tools (e.g., Dynatrace, Splunk, Grafana), incident management, and performance optimization
</li><li>Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
</li></ul>Preferred qualifications, capabilities, and skills
<ul><li>Proficiency in automation, continuous delivery methods and all aspects of the Software Development Life Cycle
</li><li>Demonstrated proficiency in software applications and technical processes within a technical discipline (e.g. data engineering, cloud, artificial intelligence, machine learning, mobile, etc.)
</li><li>Experience with modern data technologies such as Databricks or Snowflake. Experience in large scale data processing, using micro services, API design, Kafka, Redis, MemCached, Observability (Dynatrace , Splunk, Grafana or similar), Orchestration (Airflow, Temporal)
</li><li>Knowledge of the financial services industry and their IT systems
</li></ul>ABOUT US 
<div>
<div>JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world&rsquo;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.
</div><div>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.
<div>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&rsquo; and employees&rsquo; 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 &amp; Co. is an Equal Opportunity Employer, including Disability/Veterans 
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ABOUT THE TEAM 
 
Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we&rsquo;re setting our businesses, clients, customers and employees up for success.</div>

Lead Software Engineer| Risk Data Platform & Strategy

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