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Entry Level Financial Data Engineer Jobs in New York

Data Engineer (US Eastern Time Zone)

New York, NY · On-site

$125K - $150K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

Data Engineer (US Eastern Time Zone)

New York, NY · Remote

$117K - $140K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

Data Engineer (US Eastern Time Zone)

New York, NY · On-site

$125K - $150K/yr

Role Overview We are looking for a Data Engineer to play a key role in shaping and scaling our ... Solid understanding of financial data structures and concepts, with the ability to model and ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ...

Data Engineer

Iselin, NJ · On-site

$116K - $139K/yr

Built to be resilient, Ascot maximizes client financial security while delivering bespoke products ... The Data Engineer is critical to the ongoing development and support of Data Warehousing projects ...

Data Engineer

Manhattan, NY · On-site

$100 - $125/hr

... the financial risk of renter default. With $7B+ in lease value protected, we work with 9 of the ... The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

About You We don't expect you to have a background in computer science, data engineering, finance, or any other specific field-we're looking for smart, inquisitive people who enjoy solving ...

Data Engineer

New York, NY · On-site

$115K - $130K/yr

... the financial risk of renter default. With $7B+ in lease value protected, we work with 9 of the ... The Role As a Data Engineer at theGuarantors, you will play a vital role in the development ...

Data Engineer

Newark, NJ · On-site

$55 - $60/hr

Prefer Local to New Jersey as its Hybrid role Someone from financial project background We are seeking an experienced AWS Data Engineer / Data Analyst with hands-on expertise in building scalable ...

Azure Data Engineer

Jersey City, NJ · On-site

$125K - $150K/yr

Azure Data Engineer: * 10+ years of strong experience in a large & complex application development environment, last 2 projects in investment banking or financial services industry and on data-heavy ...

Senior Data Engineer

Newark, NJ · On-site

$110K - $150K/yr

... leading financial services institutions. Your Team & Role As a Senior Data Engineer on the FM ... Management Reporting team, you will partner with talented architects, infrastructure engineers ...

Data Engineer

Jersey City, NJ · On-site

$119K - $143K/yr

Role - Data Engineer Location - New Jersey, NJ Type - Full-Time Lead the development and ... functions within financial markets (Equities, Fixed Income, Derivatives, FX, etc.). Strong ...

FP&A Analyst

South Plainfield, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

FP&A Analyst

Piscataway, NJ · On-site

$52K - $58K/yr

Vision insurance Job Summary : FP&A Analyst (Entry Level) Azend Pharma, a pharmacy consulting and ... Work with business units to collect KPIs, operational data, and planning metrics. Business Insights

Showing results 21-40

Entry Level Financial Data Engineer information

What is an entry level financial data engineer?

An Entry Level Financial Data Engineer is a professional who assists in designing, building, and maintaining systems that collect, store, and process financial data. They work with large datasets, often using programming languages and data tools to ensure the accuracy and accessibility of financial information. This role typically involves collaborating with analysts and other engineers to support data-driven decision-making within financial organizations. Entry-level positions provide foundational experience and training in data pipelines, databases, and relevant financial technologies.

What are the key skills and qualifications needed to thrive as an entry level financial data engineer, and why are they important?

To thrive as an Entry Level Financial Data Engineer, you need a solid foundation in programming (such as Python or SQL), data analysis, and a basic understanding of finance or accounting principles, usually supported by a relevant bachelor’s degree. Familiarity with data engineering tools like ETL pipelines, cloud platforms (e.g., AWS, Azure), and database management systems is typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with teams and ensure data accuracy. These skills are crucial for building reliable data solutions that support sound financial decision-making within organizations.

What are some common challenges faced by entry level financial data engineers, and how can they be overcome?

Entry level Financial Data Engineers often encounter challenges such as understanding complex financial datasets, ensuring data accuracy, and adapting to fast-paced changes in technology and regulations. Collaborating closely with senior engineers and analysts can help bridge knowledge gaps, while leveraging documentation and company resources aids in building domain expertise. Regular communication with team members and participating in code reviews can further accelerate learning and help address challenges more effectively.

What is the difference between Entry Level Financial Data Engineer vs Data Analyst?

AspectEntry Level Financial Data EngineerData Analyst
Required CredentialsBachelor's in Finance, Computer Science, or related field; basic knowledge of SQL and data toolsBachelor's in Statistics, Mathematics, or related field; proficiency in Excel, SQL, and visualization tools
Work EnvironmentFinancial institutions, banks, investment firms; focus on data pipelines and financial data systemsVarious industries including finance, marketing, healthcare; focus on data interpretation and reporting
Employer & Industry UsageUsed in finance-heavy roles for managing financial data infrastructureCommon across industries for analyzing and visualizing data to support decision-making

While both roles involve working with data, Entry Level Financial Data Engineers focus on building and maintaining financial data systems, whereas Data Analysts primarily interpret data to generate insights. The former requires more technical skills related to data engineering, while the latter emphasizes data analysis and visualization skills.

What are the most commonly searched types of Financial Data Engineer jobs in New York?

The most popular types of Financial Data Engineer jobs in New York are:

What cities in New York are hiring for Entry Level Financial Data Engineer jobs?

Cities in New York with the most Entry Level Financial Data Engineer job openings:

Data Engineer (US Eastern Time Zone)

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 29 days ago


Job description

About MDOTM
MDOTM is the Global leader in AI-driven investment solutions. Founded in 2015, we earned significant recognition in 2017 as the only European fintech startup selected by Google for its acceleration program in Silicon Valley.
Since then, we have been growing continuously, establishing a strong international presence with offices in London, Milan and New York.
If you are looking for a fast-paced environment and are willing to take ownership, this is the right opportunity for you!
Role Overview
We are looking for a Data Engineer to play a key role in shaping and scaling our platform as the organization grows in complexity and data maturity.
In this role, you will be responsible for designing and evolving the core data infrastructure that powers analytics, machine learning, and critical business decisions. You will take ownership of how data flows across the company, from ingestion to consumption, ensuring it is reliable, well-modeled, and accessible to a wide range of stakeholders.
Key Responsibilities
  • Design, build, and maintain production-grade data pipelines and data-intensive systems
  • Configure, schedule, and monitor data pipeline execution to ensure reliability, maintainability, and timely delivery across all data processes
  • Deploy and manage data infrastructure on AWS or on-premises, ensuring scalability, security, and cost-efficiency
  • Monitor and optimize relational and NoSQL database performance (e.g., MySQL, PostgreSQL, MongoDB) to ensure efficient querying, indexing, and data access at scale
  • Ensure reliable ingestion, transformation, and availability of large-scale and time-series financial data, considering financial-specific data quality characteristics.
  • Implement and maintain data quality, validation, and monitoring mechanisms across data workflows
  • Define and evolve data models and storage structures across relational and NoSQL systems
  • Collaborate with Data Scientists and Analysts to ensure accurate and efficient data access for analytics and modeling use cases
  • Optimize data processing workflows for performance, reliability, and operational stability
  • Troubleshoot complex data issues and drive root cause analysis.
  • Contribute to technical decision-making and help define the roadmap for data infrastructure.

Requirements
  • Degree in Computer Science, Engineering, or a related field.
  • Strong programming skills in Java or Python (or other JVM-based languages)
  • Strong understanding of data modeling, SQL, and NoSQL databases
  • Strong focus on data quality, validation, and monitoring practices
  • Experience working with large-scale and time-series datasets in financial contexts, with an understanding of their structure and common data quality challenges
  • Experience building and maintaining production data pipelines or data-intensive systems, with focus on reliability and performance
  • Ability to troubleshoot and optimize production data systems
  • Experience with workflow orchestration and data pipeline scheduling tools
  • Solid understanding of financial data structures and concepts, with the ability to model and validate financial data accurately
  • Strong problem-solving skills and attention to detail.
  • Professional proficiency in English.

Bonus Points
  • Experience with monitoring and visualization tools (e.g., dashboards)
  • Exposure to machine learning workflows and related data requirements

Why Join Us?
  • Work at the leading edge of technology, leveraging our decade of experience in proprietary AI to build the next generation of industry-defining tools.
  • Competitive salary & truly flexible work environment.
  • Benefit from an unlimited learning and development budget to stay at the bleeding edge of AI research, alongside a fast-track path into technical leadership or principal research roles.
  • Collaborate daily with an ultra-international team (18+ nationalities) spread across our offices in Milan, London and New York.
  • Annual company retreat at a stunning location.
  • Fast-track career progression, with opportunities to grow into leadership roles.