S3 Data Jobs

2 jobs found

26d ago

Software Engineer III - AWS Glue / Data Engineer

JPMorganChase Irvine, CA

Irvine, CA

26d ago

$133k - $185k/yr Full time Analytics AWS Aws Glue

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Job Description

Benefits and culture

This onsite role in Irvine, CA offers a competitive annual salary ranging from USD 133,000 to 185,000. You will join a diverse, inclusive team operating within an agile Corporate Sector environment that values collaboration, stability, and scalable solutions.

comprehensive health care coverage
on-site health and wellness centers
a retirement savings plan
backup childcare
tuition reimbursement
mental health support
financial coaching
commission-based pay
discretionary incentive compensation
cash and/or forfeitable equity

Role overview

As a Software Engineer III focused on AWS Glue and data engineering, you will design and deliver trusted, market-leading technology products in a secure, stable, and scalable manner as part of an agile Corporate Sector team.

Responsibilities

Participate in the design and development of scalable, resilient systems using AWS ETL to support continual, iterative improvements for product teams
Develop and implement software solutions, including design, coding, and technical troubleshooting
Produce secure, high-quality production code and maintain algorithms that operate in concert with related systems
Contribute to architecture and design artifacts for applications while ensuring code aligns with design constraints
Gather, analyze, and synthesize data to create visualizations and reports from large, diverse data sets to drive software improvements
Identify hidden patterns in data and leverage insights to enhance coding hygiene and system architecture
Engage with software engineering communities of practice and events to explore new and emerging technologies
Support an inclusive team culture that emphasizes diversity, opportunity, and respect

Requirements

Formal training or certification in software engineering with 3+ years of applied experience
Hands-on experience in system design, application development, testing, and operational stability
Proficient in coding with AWS Glue and AWS EMR
Proficient with SQL and NoSQL databases
Exposure to AWS cloud technologies
Understanding of agile methodologies including CI/CD, application resiliency, and security
Experience developing applications across multiple cloud and traditional data engineering technologies, including AWS services like Glue, EMR, and data warehouses
Recent experience ingesting data from on premise applications into AWS private cloud using services such as S3, Lambda, SQS, EventBridge, Glue/Glue Studio/Glue workflows/Glue Data Catalogue, CloudWatch, Aurora MySQL/PostgreSQL, and EMR with Python or PySpark
Experience in comprehensive analysis and design with knowledge of RDMS systems such as Oracle; strong SQL and PL/SQL skills

Technologies

AWS Glue, AWS EMR, S3, AWS Lambda, AWS SQS, EventBridge, Glue Studio, Glue Workflows, Glue Data Catalogue, CloudWatch
Aurora MySQL, Aurora PostgreSQL, Python, PySpark
Oracle, SQL, PL/SQL, Kafka, AWS MSK, Confluent Kafka
Terraform, CloudFormation, Sigma, QuickSight, Knowledge Graphs, GraphDB, data warehouse

Compliance and background checks

This position is subject to Section 19 of the Federal Deposit Insurance Act. Accordingly, an employment offer depends on JPMorganChase's review of criminal conviction history, including any pretrial diversions or program entries.

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1mo ago

Data Engineer, Analytics & Machine Learning Enablement

Keeper Security Remote 🌍 Remote

Remote

1mo ago

Full time Analytics AWS Bigquery

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Job Description

Keeper Security is seeking a Data Engineer focused on building analytics data pipelines and ML-ready workflows. This remote role offers flexibility, with an optional hybrid schedule for candidates in California or Illinois. The position emphasizes collaboration with analysts and ML engineers to enable reliable analytics and modeling capabilities across the organization.

Responsibilities

Design and maintain ELT pipelines to ingest and transform data from core operational systems
Create analytics-ready data models to support reporting, KPIs, and downstream ML use cases
Collaborate with analysts and ML engineers to ensure data structures meet modeling and feature needs
Implement data quality checks, validation, and testing to ensure accuracy and reliability
Optimize data pipeline performance, scalability, and cost efficiency
Support data preparation and feature engineering workflows for machine learning initiatives
Document data models, transformations, and lineage to promote reuse and data literacy
Partner with security and platform teams to ensure data governance and privacy requirements are met

Requirements

3–5 years of experience in data engineering or backend data systems, SaaS experience preferred
Strong proficiency in SQL and experience designing analytics data models
Working knowledge of Python for data processing or pipeline orchestration
Experience with cloud data warehouses such as Amazon Redshift; Snowflake or BigQuery acceptable
Familiarity with AWS data services such as S3, Glue, Lambda, or Step Functions
Understanding of ELT best practices, data modeling, and schema design
Exposure to supporting machine learning workflows through data preparation or feature engineering
Knowledge of data security and privacy principles, including handling regulated data (PII, PHI)
Strong software engineering fundamentals, including version control, testing, and CI/CD practices
Bachelor's degree in Computer Science, Engineering, Statistics, or a related field
Due to FedRAMP requirements, candidates must be a U.S. Person

Technologies

Python
SQL
Amazon Redshift
Snowflake
BigQuery
S3
Glue
Lambda
Step Functions
dbt

Benefits

Medical, Dental & Vision (Inclusive of domestic partnerships)
Employer Paid Life Insurance & Employee/Spouse/Child Supplemental life
Voluntary Short/Long Term Disability Insurance
401k (Roth/Traditional)
A generous PTO plan that celebrates your commitment and seniority (including paid Bereavement/Jury Duty, etc)
Above market annual bonuses

Keeper Candidate Privacy Notice

Keeper collects and uses data throughout the recruitment process to assess your qualifications and manage interviews. Data may be provided by you, generated during the process, or obtained from others.

Data We Collect: Contact details, CV/resume, cover letter; employment history, qualifications, work eligibility; application responses and uploaded documents
Data We Generate: Interview notes, assessments, communications; scheduling information
Information From Others: Referrals, public professional profiles, background verification (post offer)
Voluntary Diversity Information: Optional data on race/ethnicity, gender, disability status, veteran status to comply with EEOC requirements
How We Use Your Data: Assess suitability; manage interviews; consider for other roles; comply with employment laws
Legal Basis: Legitimate interests; contractual steps; legal/regulatory compliance
Sharing: Internal teams and third-party service providers; diversity data is not shared with hiring managers
Third Party Safeguards: Contracts to protect data with appropriate safeguards
International Transfers: Data may be accessed globally with safeguards in place
Security: Technical and organizational measures to protect data
Retention: Data kept for 24 months from last activity, with exceptions for consent or hire
Your Rights: Access, correction, deletion, objection, data portability, complaint
Automated Decisions: No hiring decisions are made solely by automated processing
Contact: privacy@keepersecurity.com

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S3 Data Jobs

Software Engineer III - AWS Glue / Data Engineer

Data Engineer, Analytics & Machine Learning Enablement

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