Software Engineer III - Data / ETL Developer jobs in United States
info-icon
This job has closed.
company-logo

hackajob · 4 hours ago

Software Engineer III - Data / ETL Developer

hackajob is collaborating with J.P. Morgan to connect them with exceptional tech professionals for this role. As a Software Engineer III at JPMorgan Chase, you will design and deliver technology products while carrying out critical technology solutions across various business functions.

Artificial Intelligence (AI)Generative AIHuman ResourcesRecruitingSoftware

Responsibilities

Designs, develops, and troubleshoots software solutions, leveraging both conventional and innovative approaches to solve complex technical problems
Creates secure, high-quality production code and maintains efficient algorithms that integrate seamlessly with relevant systems
Produces architecture and design artifacts for complex applications, ensuring that software development aligns with established design constraints
Develops workflows and ETL pipelines using Python, Databricks, and Spark, optimizing data processing and transformation at scale
Implements and manages data solutions using Snowflake, including data modeling, performance tuning, and secure data sharing
Frequently utilizes SQL, understands the role of NoSQL databases in the marketplace, and applies Spark for distributed data processing and analytics
Gathers, analyzes, and synthesizes large, diverse data sets to develop visualizations and reporting that drive continuous improvement of software applications and systems
Proactively identify hidden issues and patterns in data, using these insights to enhance coding practices and system architecture
Supports the review of controls to ensure robust protection of enterprise data and updates on logical or physical data models based on evolving use cases
Advises and implements custom configuration changes in select tools to deliver tailored solutions for business or customer needs
Fosters a team culture of diversity, opportunity, inclusion, and respect

Qualification

PythonETLSparkSnowflakeSQLAWSAPI developmentData analysisData migrationSDLCSoft skills

Required

Formal training or certification in software/data engineering concepts and 3+ years applied experience
Advanced in one or more programming language / frameworks (i.e., Python 3, ETL, Spark, Snowflake, Databricks, SQL, NoSQL, etc.), with active knowledge of AWS functions (i.e., ECS, Lambda, API Gateway, and general AWS services), and Terraform-based infrastructure deployments
Strong experience with statistical data analysis, including selecting appropriate tools and identifying data patterns
Demonstrated experience in API-driven development, particularly using Fast API on AWS ECS with API Gateway integration, and running APIs from AWS Lambda
Experience across the data engineering lifecycle, from ingestion to analysis and productization
Ability to customize and implement changes in tools to generate products
Significant experience with data migration and platform migration for data projects, including planning, execution, and post-migration support
Strong skills in data validations and reconciliations (recons) to ensure data integrity and accuracy during migrations and transformations
Solid understanding of the Software Development Life Cycle (SDLC) and agile methodologies, including CI/CD, application resiliency, and security best practices
Hands-on experience with deployment pipelines such as Git, Jules, Jenkins, and Spinnaker along with strong skills in building test scripts and using True CD for coding and testing
Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud, artificial intelligence, machine learning, or mobile

Preferred

Familiarity with modern data engineering technologies
Exposure to cloud technologies (i.e. AWS)

Benefits

Comprehensive health care coverage
On-site health and wellness centers
A retirement savings plan
Backup childcare
Tuition reimbursement
Mental health support
Financial coaching

Company

hackajob

twittertwittertwitter
company-logo
The AI-native tech hiring platform trusted by enterprises, scale-ups, and 1M+ tech professionals worldwide.

Funding

Current Stage
Growth Stage
Total Funding
$33M
Key Investors
Volition CapitalDowning VenturesTechstars
2023-05-03Series B· $25M
2018-10-25Series A· $6.7M
2017-03-31Seed· $0.58M

Leadership Team

leader-logo
Mark Chaffey
CEO
linkedin
leader-logo
Phil Kell
Head of Talent
linkedin
Company data provided by crunchbase