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Entry Level Financial Data Engineer Jobs (NOW HIRING)

VTG

Senior Data Engineer

Chantilly, VA

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

E-Solutions

Lead Data Engineer

Denver, CO

$117K - $141K/yr

Data classification (PII, financial data, sensitive fields) * Access control and role-based ... engineering teams * Lead metadata onboarding workshops and training sessions Required Skills ...

HTP Solutions

Financial Data Analyst

Oakbrook Terrace, IL · On-site +1

$58K - $65K/yr

Position Overview We are seeking a Financial Data Analyst (Entry-Level) to join our audit services team. In this role, you will analyze client spend data to identify policy violations, trends ...

E-Solutions

Lead Data Engineer

Austin, TX

$113K - $136K/yr

Job Title- Lead Data Engineer Location- Denver CO/Austin TX(Onsite Position) Type of Hire ... Data classification (PII, financial data, sensitive fields) * Access control and role-based ...

VTG

Senior Data Engineer with Security Clearance

Chantilly, VA · On-site

$109K - $148K/yr

In this dynamic role, you will not only support the team in conditioning financial data but also play a key role in the adoption of modern data engineering practices. Your contributions will directly ...

SynergisticIT

Entry Level Data Engineer

Beaverton, OR

$120K - $145K/yr

Current Open Positions * Entry-level software programmers * Java full-stack developers * Python/Java developers * Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent ...

SynergisticIT

Entry Level Data Engineer

Portland, OR

$121K - $145K/yr

Current Open Positions * Entry-level software programmers * Java full-stack developers * Python/Java developers * Data analysts/data scientists * Machine learning engineers Who Should Apply * Recent ...

ECS

Junior Data Engineer

Falls Church, VA · On-site

The WDP separates business and financial data from operational warfighting data, aiming to ... This is an entry-level engineering position well-suited for early-career professionals seeking ...

Carlyle

Data Engineer

Washington, DC · On-site

$160K - $200K/yr

Data Engineer Location: Washington, DC Line of Business: Data Science Job Function: Investor ... The role demands expertise in Python, deep familiarity with financial data sources, and the ability ...

Purpose Financial

Data Engineer

Greenville, SC · On-site

$107K - $129K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Purpose Financial

Data Engineer

Greenville, SC · On-site +1

$100K - $121K/yr

Purpose Financial Address : 322 Rhett Street, Greenville, South Carolina, United States - 29601 ... Position Summary The Data Engineer will play a critical role in designing, building, and ...

Yantran LLC

Data Engineer

Redmond, WA

$128K - $154K/yr

Data Engineer Location: Redmond, WA (Open for WFM - Need to work in PST time zone) Skills: * Design ... Experience working in financial domain or with ERP systems (e.g., SAP, Oracle ERP) * Understanding ...

SynergisticIT

Data Engineer (Entry-Level)

Boise, ID

$109K - $130K/yr

Currently, We are looking for entry-level software programmers, Java Full stack developers, Python/Java developers, Data analysts/ Data Scientists, Machine Learning engineers. Who Should Apply Recent ...

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Entry Level Financial Data Engineer information

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$30K

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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

Data Engineer

The Atlantic Group

Greenwich, CT

$128K - $154K/yr

Other

Posted 10 days ago

Job description

Our client is a specialist asset management firm with over $14 billion AUM, specialized in income-oriented credit investments in niche and inefficient markets. As a rapidly growing firm of 140-150+ employees, they are seeking a full-time Data Engineer fully onsite out of their Greenwich, CT office. This is for someone really looking to take that next step.

This is a time of high-growth at the firm, having hired many over the past year plus. There is a strong push on their IT initiatives currently. The firm makes high caliber long-term investment hires. They are a heavy automation shop, use technology to their benefit, and are not afraid of using AI to improve.

The right candidate for this opportunity would be an organized, self-motivated resource who is looking to challenge themselves and grow into performing a larger IT role in the firm.

Responsibilities:

  • Design, develop, and maintain efficient and scalable SQL pipelines for collecting, processing and storing large volumes of financial data using technologies such as Snowflake, dbt and Workato;
  • Write optimized SQL queries and stored procedures for data retrieval and analysis;
  • Manage policies and processes for data governance and data quality;
  • Create and maintain documentation for data process, data lineage and data dictionaries;
  • Build dashboards using visualization tools such a Power BI; and
  • Stay up to date on trends, best practices, and emerging technologies across the data engineering space and integrate into the platform where applicable.

Qualifications:

  • Self-motivated problem-solver with strong relationship building skills
  • Extensive experience in database design and SQL development
  • In-depth understanding of Snowflake architecture, performance tuning and cost optimization strategies
  • Strong familiarity with modern data orchestration tools, preferably dbt, Workato
  • Solid understanding of data modeling concepts and database design principles
  • Experience working with financial data
  • Bachelor s degree in Computer Science, Engineering, or related field

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