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Entry Level Financial Data Engineer Jobs in New York

Data Engineer

New York, NY · On-site

$125K - $150K/yr

The candidate should be passionate about financial market, data and technology. In this team, the ... Master/PhD degree in math, computer science, engineering, or other related fields. * 1-3 years of ...

Data Engineer II

New York, NY · On-site

$145K - $165K/yr

We are a global B2B financial technology organization dedicated to democratizing access to ... Within it, the Data Platform Engineering team owns two critical pillars: * Data Ingestion ...

Data Engineer

New York, NY

$125K - $150K/yr

The candidate should be passionate about financial market, data and technology. In this team, the ... Master/PhD degree in math, computer science, engineering, or other related fields. * 1-3 years of ...

Data Engineer

Englewood Cliffs, NJ · On-site

$116K - $140K/yr

We are looking for a mid level engineer to build and operate a data platform that uses Apache ... Background supporting data platforms in regulated industries (pharma, finance, healthcare) and ...

Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with a Computer Science, Engineering or similar technical ...

Haver Analytics, a database firm tracking macroeconomic and financial data located in Midtown Manhattan, is seeking energetic candidates with a Computer Science, Engineering or similar technical ...

Sr. Data Engineer

Manhattan, NY · On-site

$126K - $151K/yr

The Senior Data Engineer will design and scale the data infrastructure supporting my clients ... Financial markets data domain experience required with Private Markets data experience a plus ...

Data Engineer

New York, NY · On-site

$125K - $150K/yr

You'll partner with Product and Engineering on usage data and event schemas, and work directly with Sales, RevOps, Marketing, and Finance to turn one-off requests into reusable platform primitives ...

Senior Data Engineer

Iselin, NJ · On-site

$107K - $146K/yr

Solid understanding of banking and financial services industry data and compliance requirements ... Familiarity with DevOps practices and CI/CD pipelines. * Prior experience working in the banking or ...

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 ...

New

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

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

Edison, 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

Data Engineer II Job Location: New York, New York Job Number: AMZ9956938 Position Responsibilities ... medical, financial, and/or other benefits. For more information, visit: Amazon.com is an Equal ...

Data Engineer III Job Location: New York, New York Job Number: AMZ9899641 Position Responsibilities ... medical, financial, and/or other benefits. For more information, visit: Amazon.com is an Equal ...

Data Engineer II

Jersey City, NJ · On-site

$119K - $143K/yr

Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation. Work You'll Do As a Data Engineer II on the team, you will:

Showing results 41-60

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 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 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 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

Point72

New York, NY • On-site

$125K - $150K/yr

Full-time

Re-posted 24 days ago


Job description

About Cubist:
Cubist Systematic Strategies is one of the world's premier investment firms. The firm deploys systematic, computer-driven trading strategies across multiple liquid asset classes, including equities, futures, and foreign exchange. The core of our effort is rigorous research into a wide range of market anomalies, fueled by our unparalleled access to a wide range of publicly available data sources.
About our Team:
KEPL is a fast-growing team at Cubist Systematic Strategies. We are specialized in medium-frequency statistical arbitrage strategies with high Sharpe. The team is made up of people from top universities and top tier trading and tech firms, including: D.E. Shaw, Two Sigma, Citadel, Meta, Google, etc. We have an open and collaborative culture, and we value rigorous research and innovative technologies.
Please send CVs to kepl-talent@cubistsystematic.com with "2026 KEPL DE Application" in the subject line.
Role:
We are looking for a quantitative software developer to join our team and contribute to multiple initiatives that aim to expand our business. The candidate should be passionate about financial market, data and technology. In this team, the candidate will gain full-stack exposure and build expertise in multiple aspects of quantitative trading.
Responsibilities:
  • Improve data ETL pipeline and build tools to analyze new data efficiently.
  • Build technologies to bolster research & trading efficiency.
  • Expand to new markets and asset classes.
  • Manage day-to-day operations in a fast-paced environment.

Requirements
  • Master/PhD degree in math, computer science, engineering, or other related fields.
  • 1-3 years of professional experience in software development or data science/analytics.
  • Strong combination of quantitative skills and programming skills.
  • Proficiency in Python; knowledge of common data analytics tools (e.g., SQL, pandas) is a plus.
  • Familiarity with the Linux environment.
  • Excellent written and verbal communication skills.
  • Willing to work in a fast-paced start-up environment.
  • Commitment to the highest ethical standards.