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Entry Level Financial Data Engineer Jobs (NOW HIRING)

SynergisticIT

Entry Level Data Engineer

Dallas, TX

$113K - $136K/yr

Currently, we are looking for: * Entry-level software programmers * Java Full stack developers * Python/Java developers * Data analysts/Data scientists * Data visualization engineers * BI analysts

Genesis10

Entry Level Data Engineer

Charlotte, NC

$60K/yr

Now hiring for our Data Engineer cohort starting in July 2026. To apply, please submit a formal ... OR 12 months of professional work experience in finance, healthcare, banking, insurance ...

Kanak Elite Services Inc

(Data Engineer)

Mclean, VA · On-site

$115K - $139K/yr

Knowledge of financial data domain and regulatory compliance. * Experience with Databricks platform. * Prior on-site work experience in McLean. Thanks & Regards Himanshu Sharma Recruitment Lead Email

Genesis10

Entry Level Data Engineer

Columbus, OH

$60K/yr

Now hiring for our Data Engineer cohort starting in July 2026. To apply, please submit a formal ... OR 12 months of professional work experience in finance, healthcare, banking, insurance ...

SynergisticIT

Entry-Level Data Engineer

Detroit, MI

$104K - $125K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Data Visualization engineers, BI Analysts, Machine ...

GM Financial

Data Engineer

Irving, TX · On-site

$106K - $127K/yr

Why GM Financial Technology? Innovation isn't just a talking point at GM Financial, it's how we ... Work with data engineering related groups to inform on and showcase capabilities of emerging ...

U.S. Bank

Financial Data Scientist

Atlanta, GA · On-site

The Financial Data Scientist role involves providing advanced financial and analytical support ... engineering or applied mathematics, or equivalent work experience • Six to eight years of ...

GM Financial

Data Engineer

Irving, TX

$109K - $132K/yr

Why GM Financial Technology? Innovation isn't just a talking point at GM Financial, it's how we ... Work with data engineering related groups to inform on and showcase capabilities of emerging ...

Edgestream

Data Engineer

Princeton, NJ · On-site

$120K - $144K/yr

Design, build, and maintain scalable, high-performance ETL pipelines that handle critical financial ... Collaborate closely with senior data engineers, data scientists, portfolio managers, researchers ...

Bridge Investment Group

Senior Data Engineer

Sandy, UT · On-site

$100K - $136K/yr

Bridge Investment Group is seeking a Senior Data Engineer to join their Financial Data & Analytics team. In this role, you will improve business operations by building data workflows and enhancing ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know. If you're a recruiting ...

Jane Street

Data Engineer

New York, NY · On-site

$125K - $150K/yr

A clear and concise communicator Prior experience with financial data is helpful but not required. We're happy to hire talented engineers and teach them what they need to know. If you're a recruiting ...

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Entry Level Financial Data Engineer information

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$30K

$69.4K

$118K

How much do entry level financial data engineer jobs pay per year?

As of Jun 8, 2026, the average yearly pay for entry level financial data engineer in the United States is $69,362.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,500.00 and $78,500.00 per year, depending on experience, location, and employer.

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 cities are hiring for Entry Level Financial Data Engineer jobs? Cities with the most Entry Level Financial Data Engineer job openings:
What are the most commonly searched types of Financial Data Engineer jobs? The most popular types of Financial Data Engineer jobs are:
What states have the most Entry Level Financial Data Engineer jobs? States with the most job openings for Entry Level Financial Data Engineer jobs include:
Entry Level Financial Data Engineer jobs near you
Entry Level Data Engineer

Entry Level Data Engineer

SynergisticIT

Dallas, TX

$113K - $136K/yr

Other

Posted 2 days ago

Job description

Job Opportunities At SynergisticIT

Since 2010 Synergisticit has helped jobseekers differentiate themselves by providing candidates the requisite skills and experience to outperform at interviews and clients. Here at SynergisticIT we just don't focus on getting you a job we make careers.

Entry level job seekers struggle to get responses to their applications, are getting ghosted after interviews.

In such a scenario the job seekers need to differentiate themselves by ensuring to obtain exceptional skills and technologies so that they can wear multiple roles at a client as clients now would want to expand roles and responsibilities assigned to a particular job to save costs.

All positions are open for all visas and US citizens. We are matchmakers we provide clients with candidates who can perform from day 1 of starting work. In this challenging economy every client wants to save $$$'s and they want the best value for their money. Jobseekers need to self-evaluate if they have the requisite skills to meet client requirements and needs as clients now post covid can also hire remote workers which increases even more competition for jobseekers. We have an excellent reputation with the clients. Currently, we are looking for:

  • Entry-level software programmers
  • Java Full stack developers
  • Python/Java developers
  • Data analysts/Data scientists
  • Data visualization engineers
  • BI analysts
  • Machine learning engineers

For full time positions with clients.

Who should apply? Recent computer science/engineering/mathematics/statistics or science graduates or people looking to switch careers or who have had gaps in employment and looking to make their careers in the tech industry. We assist in filing for STEM extension and also for H1b and green card filing to candidates.

Required skills for Java/Full stack/software programmer:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Project work on the skills
  • Knowledge of core Java, javascript, C++ or software programming
  • Spring boot, AWS, microservices, Docker, Jenkins and REST API's experience
  • Excellent written and verbal communication skills

Required skills for data science/machine learning positions:

  • Bachelors degree or Masters degree in computer science, computer engineering, electrical engineering, information systems, IT
  • Project work on the technologies needed
  • Highly motivated, self-learner, and technically inquisitive
  • Experience in programming language Java and understanding of the software development life cycle
  • Knowledge of statistics, Python, computer vision, data visualization tools
  • Excellent written and verbal communication skills

Preferred skills: Snowflake, Databricks, LLM, Gen AI, text mining, Tableau, PowerBI, SAS, Tensorflow

If you get emails from our skill enhancement team please email them or ask them to take you off their distribution list and make you unavailable as they share the same database with the client servicing team who only connect with candidates who are matching client requirements. No phone calls please. Shortlisted candidates would be reached out. No third party or agency candidates or c2c candidates

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