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3 jobs found

15d ago

Data Engineer - Finance AI Solutions

Target Brooklyn Park, MN

Brooklyn Park, MN

15d ago

$75k - $136k/yr Full time Analytics Artificial Intelligence Aws Data Lake

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Job Description

Target’s Finance Technology team is building the data foundation that supports enterprise financial operations and near real-time reporting. In this Data Engineer role, you will design, develop, and maintain scalable data pipelines and distributed processing capabilities that help power financial systems and analytical insights.

Working within an agile engineering environment, you will collaborate across engineering, product, and business stakeholders to deliver reliable data services, models, and frameworks. The work includes building both batch and real-time processing solutions, applying governance and security standards, and improving performance and reliability in production.

Position overview

Develop and maintain scalable data solutions supporting Target’s financial systems and enterprise reporting
Build reliable data pipelines and data services as part of an agile engineering team
Collaborate with engineers, product managers, data scientists, and business partners to deliver efficient, scalable, and maintainable data solutions
Grow technical expertise in cloud technologies and distributed data processing

Team overview

Finance Technology within Core Retail Services powers Target’s financial backbone
Platforms support critical capabilities across Accounts Payable, Accounts Receivable, Vendor Income, Treasury, Financial Planning, Core Accounting, Revenue & Receivables, and Enterprise Financial Controls
Finance reporting brings these data domains together to deliver near real-time insights for accurate reporting and faster decision-making
Work occurs within a global in-house technology team of more than 5,000 engineers, data scientists, architects, and product managers
Agile practices and open-source technologies are used to build best-in-class solutions

Key responsibilities

Develop and maintain scalable data pipelines and distributed data processing solutions using Spark, Scala/Java, and cloud platforms (AWS, GCP, or Azure)
Build and enhance batch and real-time data processing for analytical and operational workloads
Create and maintain APIs and data services to enable secure and efficient access to enterprise data
Develop data models, ETL workflows, and processing frameworks aligned to business requirements
Apply established data governance, security, and quality standards throughout the development lifecycle
Troubleshoot production issues, optimize data processing performance, and improve system reliability
Participate in code reviews, testing, and continuous improvement to maintain engineering quality
Continuously learn and adopt new technologies, tools, and engineering best practices

Required qualifications

4-year degree in Computer Science, Applied Mathematics, Physics, Information Technology, Engineering, etc., or equivalent industry experience
1+ year of software development experience with Big Data technologies such as Spark, Hadoop, or distributed data processing frameworks
Programming experience with PySpark, Scala, Java, or Python
Experience with AWS, GCP, or Azure and cloud-based data services
Familiarity with data modeling, ETL development, and data pipeline design
Exposure to API development using REST or similar technologies
Experience with SQL and relational or distributed databases
Understanding of data governance, security, and software development best practices
Strong analytical and problem-solving skills
Excellent communication and collaboration skills for cross-functional teamwork

Technologies

Spark
Scala
Java
AWS
GCP
Azure
PySpark
Python
Hadoop
REST
SQL

Work arrangement

Hybrid/Flex for your day arrangement based on Target’s needs
Core role work is performed both onsite at Target HQ in MN and virtually depending on daily requirements
Work duties cannot be performed outside the country of the primary work location unless otherwise prescribed by Target

Compensation and location

Location: Brooklyn Park, MN (hybrid)
Salary range: USD 75,400 - 135,700 per year

Benefits

Comprehensive health benefits including medical, vision, dental, life insurance, and more
401(k)
Employee discount
Short term disability
Long term disability
Paid sick leave
Paid national holidays
Paid vacation
Competitive benefits available across financial and education to well-being and beyond: https://corporate.target.com/careers/benefits
Benefits eligibility link: https://tgt.biz/BenefitsForYou_D

ADA accommodations

Target will provide reasonable accommodations for applicants with disabilities in accordance with state and federal laws
For accommodation requests related to the application or interview process, contact: candidate.accommodations@HRHelp.Target.com
Non-accommodation-related requests (application follow-ups or technical issues) will not be handled through this email

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1mo ago

Data Engineer - Financial Industry

Code Willing, LLC New Orleans, LA

New Orleans, LA

1mo ago Closed

$70k - $80k/yr Full time Python Apache Airflow Big Data

This position is no longer accepting applications (closed Sep 15, 2026).

Job Description

Code Willing, LLC is seeking a Junior or Mid-Level Data Engineer to support data engineering initiatives in the financial sector. This hybrid role is based in New Orleans, LA 70130 and focuses on building reliable, high-performance ETL pipelines, improving data quality, and enabling timely data support for stakeholders.

Role Overview

In this position, you will design, implement, and optimize big data ETL pipelines for financial industry datasets. The work includes performance tuning, expanding a Python-based analysis code base, strengthening data quality standards, and supporting downstream stakeholders with transparent project updates.

Key Responsibilities

Design, implement, and refactor efficient big data ETL pipelines using Apache Airflow.
Optimize and expand an existing Python-based data analysis code base.
Develop multiprocessing and multithreading solutions for highly performant data ETL and analysis applications.
Develop and enhance a Data Quality code base and standards for Financial Industry datasets.
Provide data support to stakeholders, maintaining transparent communication and timely project status updates.
Stay current on emerging data engineering trends and technologies, contributing to continuous improvement of data practices.

Required Qualifications

Bachelor’s degree in Computer Science, Mathematics, or a related field; equivalent work experience may be considered in lieu of specific educational requirements.
2+ years of hands-on experience with Python and 2+ years with SQL in a professional setting.
Experience with Git and Linux.
Experience processing and managing large datasets.
Knowledge of financial industry data, particularly security reference data, end-of-day pricing, and trade/quote data. Primarily focused on Equities, Futures, and Fixed Income.
Strong analytical skills with the ability to collaborate across departments and teams.
Excellent problem-solving skills and strong attention to detail, with emphasis on performance tuning and optimization of data workflows.

Technologies

Apache Airflow
Python
SQL
Git
Linux
Multiprocessing
Multithreading
Claude Code

Preferred Qualifications

Certifications in AWS, Data Analytics, or similar technologies.
Claude Code and Agent experience is a plus.
Working knowledge or experience with Claude Code or equivalent tools is highly desirable.

Compensation and Job Details

Job type: Full-time
Location: Hybrid remote in New Orleans, LA 70130
Salary: USD 70,000 - 80,000 per year
Minimum experience: 2 years

Benefits

401(k)
401(k) matching
Dental insurance
Flexible spending account
Health insurance
Health savings account
Life insurance
Paid time off
Vision insurance

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1mo ago

AI Engineer - GenAI / Agentic Systems - Financial Services

Infosys Basking Ridge, NJ

Basking Ridge, NJ

1mo ago Closed

$117k - $148k/yr Full time Agentic Ai AI Artificial Intelligence

This position is no longer accepting applications (closed Aug 16, 2026).

Job Description

Infosys is seeking an AI Engineer for GenAI and agentic systems in financial services, onsite in Basking Ridge, NJ, with a salary ranging from USD 116,875 to 148,125 per year.

Responsibilities

Collaborate with banking and financial services stakeholders to identify the problem statement and participate in or lead solution design, including mapping the day in the life of an advisor and identifying critical manual flows for potential solutions.
Serve as Product Manager or Product Owner, working with architects and business SMEs to develop business requirements and AI solutions.
Design and implement GenAI solutions using LLMs such as Claude and OpenAI to address objectives like improving advisor productivity and enhancing operations in Corporate Actions, Portfolio Management, AML/KYC processes.
Construct agent-based workflows with frameworks including LangChain and Google ADK or comparable tools.
Develop RAG pipelines, semantic search, and knowledge-driven applications.
Apply prompt engineering, establish evaluation frameworks, and implement guardrails.
Test and validate final solutions to ensure alignment with business problems and optimize AI models and pipelines.
Coordinate with business and technology stakeholders to deliver the program.

Requirements

Experience in the financial services industry (capital markets or banking) with familiarity across front, middle, and back office operations or processes.
Understanding of the end-to-end value chain (wealth management, asset management, investment banking, etc.).
Experience defining AI-related KPIs and building a business case for AI adoption.
Proficiency in Python-based AI/ML development.
Solid understanding of LLMs and GenAI architectures.
Prompt engineering and chaining techniques.
Data processing and pipeline development.
Experience with Graph RAG and hands-on use of LangChain or similar frameworks.
Hands-on experience with Claude, OpenAI, or other LLM APIs in Graph RAG contexts.
Working knowledge of vector databases, embeddings, and semantic search.
Working knowledge of API integrations and microservices.

Technologies

Python
LangChain
Google ADK
Claude
OpenAI
Azure
AWS
GCP
Knowledge graphs
Vector databases
Embeddings
Semantic search
API integrations
Microservices

Benefits

Medical, Dental, Vision, and Life Insurance
Long-term and Short-term Disability
Health and Dependent Care Reimbursement Accounts
Insurance (Accident, Critical Illness, Hospital Indemnity, Legal)
401(k) plan with employer contributions based on salary
Paid holidays plus Paid Time Off

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Programming Languages Finance Jobs

Data Engineer - Finance AI Solutions

Data Engineer - Financial Industry

AI Engineer - GenAI / Agentic Systems - Financial Services

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