data software engineer

JPMorganChase

<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 Lead Software Engineer at JPMorgan Chase within Corporate Technology, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for design, development, and technical troubleshooting across multiple technical areas within various business functions in support of the firm&rsquo;s business objectives.
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>
Designs, develops, codes, and troubleshoots with consideration of upstream and downstream systems and technical implications</li><li>
Applies knowledge of tools within the Software Development Life Cycle toolchain to improve the value realized by automation</li><li>
Leads communities of practice across Software Engineering to drive awareness and use of new and leading-edge technologies</li><li>
Gathers, analyzes, and draws conclusions from large, diverse data sets to identify problems and contribute to decision-making in service of secure, stable application development</li><li>
Develops secure high-quality production code, and reviews and debugs code written by others
</li></ul>Required qualifications, capabilities, and skills<ul><li>
Formal training or certification on software engineering concepts and 5+ years applied experience</li><li>
Hands-on practical experience in system design, application development, testing, and operational stability, including AWS cloud computing</li><li>
Advanced proficiency in one or more languages: Java, Python, Scala and Strong SQL and database skills</li><li>
Experience with data structures and algorithms and efficient coding practices</li><li>
Experience with Spark and distributed computing</li><li>
Demonstrated proficiency in code optimization and refactoring to enhance scalability and performance.</li><li>
Ability to collaborate well with global teams in geographically distributed locations across time zones</li><li>
Advanced understanding of agile methodologies, including CI/CD, application resiliency, and security.</li><li>
Experience with automation and continuous delivery methods.</li></ul>
Preferred qualifications, capabilities, and skills<ul><li>
Exposure to cloud technologies (AWS)
</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 Big Data Software Engineer - Spark, Java

Coherent Corp.

<div>Primary Duties &amp; Responsibilities
<ul><li>Work closely with domain experts to support assigned analytics and data science projects.
</li><li>Collect, clean, preprocess, and validate structured and unstructured datasets from multiple sources such as log parsing, text file parsing, instrument data streams and existing databases, etc.
</li><li>Perform exploratory data analysis (EDA) to identify trends, patterns, and anomalies.
</li><li>Create technical documentation, reports, and presentations summarizing findings, insights, and recommendations.
</li><li>Assist with selection, evaluation, and setup of data science tools, libraries, and computing resources.
</li><li>Follow best practices for data governance, version control, and reproducible research.
</li><li>Collaborate within a cross-functional team environment and contribute to continuous improvement initiatives.
</li></ul>Education &amp; Experience
<ul><li>B.S. preferred, working towards a graduate degree in Optical Engineering, Laser Physics, Mechatronics, Mechanical Engineering, Computer Science, Data Science, Electrical Engineering, or related fields. Excellent final year BS students will be considered.
</li><li>Relevant coursework or extracurricular experience in Data science is a plus.
</li>Open to currently enrolled students or those who have graduated within one year of the internship start date. 
<li>
</li></ul>Skills &amp; Other Requirements
<ul><li>Programming experience in C#, Python, R, or similar languages.
</li><li>Familiarity with data analysis libraries such as pandas, NumPy, SciPy, scikit-learn, or equivalent.
</li><li>Expert knowledge of SQL DB and relational databases.
</li><li>Understanding basic statistical concepts and machine learning techniques.
</li><li>Experience with Jupyter notebooks, Git/version control.
</li><li>Familiarity with Microsoft Azure cloud infrastructure is a plus.
</li><li>Familiarity with diagnostic and signal acquisition tools such as oscilloscopes, signal generators, ADC and data acquisition systems.
</li><li>The ideal candidate will be an enthusiastic self-starter who takes ownership of commitments and enjoys working in a dynamic collaborative team environment.
</li><li>Excellent written and verbal communication.
</li><li>Team-oriented but able to work independently when needed.
</li><li>Adaptable and eager to learn in a fast-paced environment.
</li>Attention to detail and time management. 
<li>
</li></ul><div><div><div><div>Additional Information
</div></div> 
</div></div><ul><li>Internship Duration: 10 &ndash; 14 weeks.
</li><li>At Coherent, interns are valued members of our team and have the opportunity to make meaningful contributions from day one. In addition to hands-on project experience, our internship program includes opportunities to connect with fellow interns and colleagues across the organization through virtual and in-person networking events, team-building activities and more. Interns are expected to actively participate in these events as part of their professional development and to fully immerse themselves in our collaborative and innovative culture.
</li></ul>Working Conditions
<ul><li>This role will be based on site in Bloomfield, CT
</li><li>Regular use of a computer and other office equipment is necessary.
</li><li>On site in engineering/optics laboratory
</li></ul>Physical Requirements
<ul><li>Sitting for extended periods while working on a computer or in meetings.
</li><li>Use of hands and fingers for typing, writing, and handling documents.
</li><li>Occasional lifting of objects or materials up to 20 pounds for administrative tasks.
</li><li>Ability to communicate verbally and in writing.
</li></ul>Safety Requirements
All employees are required to follow the site EHS procedures and Coherent Corp. EHS standards.
Quality &amp; Environmental Responsibilities
Depending on location, this position may be responsible for the execution and maintenance of the ISO 9000, 9001, 14001 and/or other applicable standards that may apply to the relevant roles and responsibilities within the Quality Management System and Environmental Management System.
Culture Commitment
Ensure adherence to company&rsquo;s values (ICARE) in all aspects of your position at Coherent Corp.:
Integrity &ndash; Create an Environment of Trust
Collaboration &ndash; Innovate Through the Sharing of Ideas
Accountability &ndash; Own the Process and the Outcome
Respect &ndash; Recognize the Value in Everyone
Enthusiasm &ndash; Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
If you need assistance or an accommodation due to a disability, you may contact us at talentacquisition@coherent.com.
ABOUT US
Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.</div>
 ABOUT US
 <div>Coherent is a global leader in lasers, engineered materials and networking components. We are a vertically integrated manufacturing company that develops innovative products for diversified applications in the industrial, optical communications, military, life sciences, semiconductor equipment, and consumer markets. Coherent provides a comprehensive career development platform within an environment that challenges employees to perform at their best, while rewarding excellence and hard-work through a competitive compensation program. It's an exciting opportunity to work for a company that offers stability, longevity and growth. Come Join Us!
 
 
Note to recruiters and employment agencies: We will not pay for unsolicited resumes from recruiters and employment agencies unless we have a signed agreement and have required assistance, in writing, for a specific opening.</div>

INTERN: Data Science Software Engineer

Deloitte

<div>Our Deloitte AI &amp; Engineering team to transform technology platforms, drive innovation, and help make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and reengineering operations and processes that are critical to businesses. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. 
 
Work You'll Do 
 
The Palantir Data Engineer will design future-state, modern data architecture, pipelining, and analysis for transformation at the enterprise level using advanced cloud architectural principles. Using tools such as Palantir Foundry, they will also work with cutting-edge DevOps technologies, develop advanced analytics products, and apply data pipelining and statistical programming tools to enterprise data to advance and enable key mission outcomes. 
 
The Team 
 
Deloitte's Government and Public Services (GPS) practice - our people, ideas, technology and outcomes-is designed for impact. Serving federal, state, &amp; local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise. 
 
Our AI &amp; Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. 
 
Qualifications 
 
Required: 
<ul><li>
Bachelor's Degree required.
</li><li>Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.</li><li>
1+ years of data science and data manipulation.</li><li>
1+ years of experience with pipeline and application development within Palantir Foundry.</li><li>
1+ years experience working with Palantir Foundry engineers.</li><li>
2 + years of experience as a Data Engineer, Or Data Scientist.
</li><li>Must be able to obtain and maintain required security clearances for the role.</li>
Ability to travel 5-25%, on average, based on the work you do and the clients and industries/sectors you serve. 
<li>
</li></ul> 
 
Preferred: 
<ul><li>
2+ years of prior professional services or federal consulting experience.</li><li>
Creativity and innovation - desire to learn and apply new technologies, products, and libraries.</li><li>
Strong written and verbal communication skills.</li><li>
Strong organizational skills.</li></ul> 
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html 
 
#LI-MW5</div>

Palantir Data Engineer

Kohl's

<div>
 
 About The Role
 
 
 
 As Software Engineer, you will collaborate closely with design, product, and engineering experts to tackle real-world challenges and deliver innovative solutions that elevate Kohl&rsquo;s retail offerings.
 
 
 
 
 What You&rsquo;ll Do
 
 
 
 
 <ul>
 <li>
 Develop high-quality applications using extreme programming (XP) practices and a user-centric approach
 </li>
 <li>
 Participate in the entire application lifecycle in collaboration with designers, product managers and other engineers on the product team
 </li>
 <li>
 Leverage critical thinking, experimentation, data and industry best practices to achieve desired business outcomes
 </li>
 <li>
 Contribute to product engineering and software standards
 </li>
 <li>
 Influence the team to reduce the toil received from production, advocate for product reliability and influence the benefits of tech debt reduction with matrices
 </li>
 <li>
 Develop self and support the development of others through accountability and continuous learning
 </li>
 <li>
 Adapt to constant change and model that for the rest of the team
 </li>
 <li>
 Evaluate a user story for technical context, feasibility, acceptance criteria, testability and estimation
 </li>
 <li>
 Additional tasks may be assigned
 
 
 </li>
 </ul>
 Addendum
 
 
 BACKEND SOFTWARE ENGINEER
 
 
 <ul>
 <li>
 Experience in Java and JEE development, Spring Boot, Spring MVC, Spring Batch, Spring Security
 </li>
 <li>
 Knowledge of build management tools such as Gradle or Maven
 </li>
 <li>
 Demonstrated understanding of source control systems such as GIT
 </li>
 <li>
 Database design and implementation experience in either SQL or NoSQL databases
 </li>
 <li>
 Experience working with distributed caching technologies such as Redis
 </li>
 <li>
 Knowledge of full SDLC requirements gathering, planning, estimation, development, testing, and deployment
 
 
 </li>
 </ul>
 BIG DATA SOFTWARE ENGINEER
 
 
 <ul>
 <li>
 Experience in SQL, Python, Spark, Kafka and Airflow
 </li>
 <li>
 Experience in build management and DevOps using Gitlab, docker, linux scripting
 </li>
 <li>
 Data modeling and design experience, including Bigquery, SQL or PL/SQL
 </li>
 <li>
 Good understanding of data as a product or data mesh topologies using cloud data lakes like Google Big Query, Amazon Redshift or Snowflake
 </li>
 <li>
 Experience designing and implementing data pipelines using Apache Airflow, Spark, Python/Scala
 </li>
 <li>
 Knowledge of real-time streaming technologies like Kafkaconnect, and Flume for messaging and streaming pipelines
 </li>
 <li>
 Knowledge of handling PCI/PII data adhering to compliance standards like GDPR, PCI DSS, SOX, CCPA
 </li>
 <li>
 Experience in the design and integration of GenAI tools and technologies like OpenAI, Gemini and Llama LLMs
 
 
 </li>
 </ul>
 UI SOFTWARE ENGINEER
 
 
 <ul>
 <li>
 A passion for stellar user experience and design
 </li>
 <li>
 Proficient in NodeJS and ECMAScript standards
 </li>
 <li>
 Deep understanding of CSS patterns and HTML
 </li>
 <li>
 Understanding of responsive design
 </li>
 <li>
 Proficient in React and one other modern UI framework like Angular, Ember, or Vue.js
 </li>
 <li>
 Consume reusable component libraries
 </li>
 <li>
 Can compose CSS on the fly
 
 
 </li>
 </ul>
 SOFTWARE ENGINEER (ANDROID)
 
 
 <ul>
 <li>
 Knowledge of Java and Kotlin for Android
 </li>
 <li>
 Experience working with notifications and background tasks in apps
 </li>
 <li>
 Collaborate with iOS, Android, and Server engineers to ship features
 </li>
 <li>
 Experience with making REST calls over the network
 </li>
 <li>
 Experience with JavaScript, either in a browser or server-side environment such as NodeJS
 </li>
 <li>
 Have designed and developed a complete Android app from top to bottom
 
 
 </li>
 </ul>
 SOFTWARE ENGINEER (iOS)
 
 
 <ul>
 <li>
 Experience building UI/UX with the use of Storyboards and Nibs/Xibs
 </li>
 <li>
 Experience with making REST calls over the network
 </li>
 <li>
 Comfortable working with Xcode, Interface Builder, Objective-C/C++ and Swift
 </li>
 <li>
 Collaborate with iOS, Android, and Server engineers to ship features
 </li>
 <li>
 Experience with JavaScript, either in a browser or server-side environment such as NodeJS, React
 </li>
 <li>
 Knowledge of the roles that tools such as clang, swiftc, ld, actool, ibtool, codesign play in the process of generating build/test artifacts
 
 
 </li>
 </ul>
 SaaS SOFTWARE ENGINEER
 
 
 <ul>
 <li>
 Hybrid Cloud Architecture Experience
 </li>
 <li>
 Experience with integration platforms or frameworks
 </li>
 <li>
 Experience integrating with large SaaS systems
 </li>
 <li>
 Experience migrating on-prem systems to cloud solutions
 </li>
 <li>
 Experience developing integration frameworks
 </li>
 <li>
 Experience executing integration testing strategies
 
 
 </li>
 </ul>
 APP MODERNIZATION SOFTWARE ENGINEER
 
 
 <ul>
 <li>
 Confident in Spring Boot, Kotlin, and Java
 </li>
 <li>
 Proven experience in frontend development and frameworks ReactJS, NextJS
 </li>
 <li>
 Proven experience in MS SQL Server and PostgreSQL
 </li>
 <li>
 Experience with containerization technologies such as Docker and orchestration platforms like Kubernetes
 </li>
 <li>
 Experience in large scale migrations - Kafka and Postgres Connectors
 </li>
 <li>
 Experience in Android, React, and .NET
 
 
 </li>
 </ul>
 
 Required
 
 
 
 
 
 What Skills You Have
 
 
 
 
 <ul>
 <li>
 2+ years of experience in software development
 </li>
 <li>
 Knowledge of application design patterns, event-driven architecture, database schemas and testing strategies
 </li>
 <li>
 Knowledge and experience with continuous integration, continuous deployment and test-driven development
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Bachelor's Degree or equivalent in MIS, Computer Science or related field
 </li>
 <li>
 Experience with large-scale application troubleshooting and performance tuning
 </li>
 <li>
 Exposure to working with major cloud platforms (GCP, AWS, or Azure)
 </li>
 <li>
 Familiarity and experience with XP (Extreme Programming)
 </li>
 </ul>
</div>

Software Engineer (Remote)

Amphenol

<div>Title: Software Engineer &ndash; Data Platforms &amp; Factory Analytics Cable Backplane Systems
Location: Valley Green, PA; Nashua, NH; Raleigh, NC; Austin, TX
Amphenol High Speed Products Group is the market leader for high speed, high bandwidth electrical connectors for the Telecom/Datacom market (Mobile Networks, Storage, Servers, Routers, Switches, etc.). Our products help to enable the electronics revolution and remain a key enabler for all the major Tier 1 OEMs globally. Our global headquarters are located in Nashua, NH and we have design, sales and manufacturing locations globally. We are expanding our team software team. We are currently seeking a Software Engineer for Cable Backplane Systems to join our team. 
 
Our team develops cable backplane system enabling AI Datacenters. The focus of this position is on software development to build and scale data platforms that connect factory test data, manufacturing systems and engineering analysis workflows. This role combines software engineering, data engineering and applied analytics, with opportunities to incorporate AI/ML techniques to improve factory efficiency, product quality and engineering insight and development.
Responsibilities:<ul><li>
Data &amp; Platform Engineering<ul><li>
Design, implement and maintain scalable databases and pipelines for factory and engineering data</li><li>
Integrate data from MES, Lab equipment and Engineering Designs</li><li>
Ensure data integrity and traceability and performance across high volumes</li><li>
Define schemas, and data models that can support analytics, reporting and provide actionable feedback</li></ul></li><li>
Factory &amp; Engineering Integration<ul><li>
Work with factory, test and engineering teams to understand data being generated and usage requirements</li><li>
Build APIs and services enabling reliable data transfer</li><li>
Support automation of test result collection, analysis and reporting</li></ul></li><li>
Analytics &amp; AI Enablement<ul><li>
Develop infrastructure to support advanced analytics and AI/ML workflows</li><li>
Explore use of AI for yield analysis and predictive insights</li><li>
Collaborate with domain experts to</li><li>
Develop data-driven tools that improve decision-making in factory and engineering environments</li></ul></li></ul>
Qualifications:<ul><li>
BS in Computer Science or Computer Engineering</li><li>
5+ years of industry experience with software tools development</li><li>
Experience in largescale database design and data pipelines</li><li>
Experience in data analytics, statistics, or machine learning workflows</li><li>
Familiarity with visualization, dashboards or reporting tools</li><li>
Work experience in multi-disciplinary engineering teams</li><li>
Comfortable working in a team that shares code and with peer reviews of code</li><li>
Hands-on experience with source code control systems, including a habit to make regular check-ins</li><li>
Excellent interpersonal communication skills, strong English reading and writing ability</li><li>
Self-starter, able to work efficiently without having all details or requirements laid out on the table</li><li>
Dynamic and adaptable personality, able to think out of the box</li></ul></div>

Software Engineer- Data Platforms and Factory Analytics

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10000 data software engineer jobs Near Me

Lead Big Data Software Engineer - Spark, Java

INTERN: Data Science Software Engineer

Palantir Data Engineer

Software Engineer (Remote)

Software Engineer- Data Platforms and Factory Analytics

Software Engineer- Data Platforms and Factory Analytics

Software Engineer- Data Platforms and Factory Analytics