Software Engineer III - Python, Databricks and AWS
Immigration summary
Visa sponsorship
This employer sponsors this kind of work repeatedly, and is still filing this year.
3,104 recent H-1B filings · 78 similar-role filings
View visa evidenceGreen card sponsorship
This employer has recently sponsored green cards at scale.
467 recent certified PERM filings · 298 similar-role filings
View green card evidenceJob description
We have an exciting and rewarding opportunity for you to take your software engineering career to the next level.
As a Software Engineer at JPMorgan Chase within Corporate Technology - Global Finance Technology, you serve as a seasoned member 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
- Deliver ingestion at scale: implement resilient ingestion from AWS sources into Databricks (batch + streaming), including CDC where needed.
- Build maintainable pipelines: use Delta Live Tables (DLT) and/or standard Jobs with clear modular structure, testing, and documentation.
- Operational excellence: productionize workloads via Databricks Workflows/Jobs, robust retries, checkpointing, idempotency, and safe re-runs.
- Governance by design: enforce least privilege, data classification (PII), auditing, lineage/metadata, and controlled sharing/consumption.
- Performance & cost management: tune Spark/Delta workloads, right-size clusters, optimize storage layout, and manage job/warehouse spend.
- CI/CD and IaC: Terraform (preferred) for Databricks + AWS resources; promotion across environments.
Testing: unit/integration tests for transformations, data quality checks, contract testing, and replay/backfill procedures. - Version control & code review discipline; clear documentation and runbooks
- Leverages enterprise-authorized AI coding assist tools within the work environment to improve code quality, delivery speed, and productivity across complex deliverables (e.g., code generation/refactoring, unit test creation, documentation), while validating outputs through peer review, automated testing, and secure coding standards; contributes learnings and reusable patterns to improve broader team effectiveness.
- Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 3+ years hands on Software Development Life Cycle experience
- Experience in data engineering experience building and maintaining data pipelines.
- Hands-on experience building and operating a Databricks Lakehouse Hosted in AWS
- Experience with Delta Lake (ACID tables, partitioning, schema evolution,
- Proven experience with Spark on Databricks (performance tuning, cluster sizing, skew mitigation, joins, caching, file sizing).
- Experience with streaming and batch pipelines (Structured Streaming; incremental processing; backfills; late-arriving data).
- Strong AWS fundamentals for data platforms: S3, IAM, KMS, networking basics (VPC/security groups), logging/auditing.
- Experience implementing data governance/security controls in Databricks (e.g., Unity Catalog, table/column permissions, credential passthrough patterns as applicable)
- Demonstrate experience with reliability: monitoring/alerting, incident response, RCA, and SLO/SLA management
- Understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; ability to guide peers on safe and effective usage within team practices.
- Hands-on experience using enterprise-authorized AI-assisted software development tools within the work environment (e.g., for coding, test creation, troubleshooting, or documentation) with demonstrated ability to critically evaluate, validate, and refine AI-generated outputs for correctness, performance, and security.
Preferred qualifications, capabilities, and skills
- Familiarity with modern front-end technologies
- Exposure to cloud technologies
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
Sponsorship evidence
Why Openbound reached the conclusions above.
Visa sponsorship evidence
Current posting
Silent on sponsorship
Other openings
132 of 7466 recent openings at this employer state a sponsorship restriction.
Employer H-1B history
- 3,104
- recent certified H-1B filings
- 896
- new-hire petitions
- 78
- filings for similar roles
- 2,744
- so far in FY2026
Filed titles like this role: software engineer · software engineering · vp software engineer · software developer
More evidence details
- 78 certified H-1B filings for this same role, 896 new-hire petitions across the employer, and 892 new hires already this year
- 78 certified H-1B filings for this same role
- 3,104 recent certified H-1B filings across the employer
- Still filing this year — 2,744 filings in FY2026
- 1 USCIS H-1B new-employment approval, counted separately from LCA filings
- Strong filing activity in NJ
- 1 further USCIS approval for extensions or transfers
- 132 other recent postings at this company state a sponsorship restriction
- The posting says nothing about sponsorship either way
Strong filing activity in NJ.
Green card sponsorship evidence
Employer PERM history
- 467
- recent certified PERM filings
- 298
- filings for similar roles
- 66
- filings in this location
Filing history reflects past employer behavior; it isn't a promise for this opening.
All open roles at JPMorgan ChaseHow Openbound evaluates sponsorship
Visa history uses official U.S. Department of Labor H-1B LCA disclosure data and USCIS H-1B petition history. Green card history uses DOL PERM disclosure data. Each is read for the employer as a whole, for roles like this one, and for this location, weighted toward the most recent fiscal years.
An employer is matched to its filing entities by verified legal name and reviewed aliases; a match is never made on a name resemblance alone. Where no verified entity can be matched, the page says so and draws no conclusion from the absence. 1,128 filing titles were examined for this employer.
What this posting states outranks history in both directions, and an employer's published policy outranks past filings. Filing history reflects past behavior; it is not a promise of sponsorship for this opening, and none of this is legal advice.