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Weekday Financial Data Engineer Jobs (NOW HIRING)

Data Engineer

Mclean, VA · On-site

$115K - $139K/yr

Data Engineer Location: Mclean, VA Duration: Long term contract Note: Looking for Ex-Capital One ... financial data. This role involves working closely with Capital One's data, analytics, and ...

Data Engineer, Finance

Birmingham, AL · On-site

$107K - $128K/yr

Motion is a company that focuses on providing financial business intelligence through modern data pipelines. The Data Engineer will develop and maintain ETL processes, ensuring accurate and ...

Senior Data Engineer

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 ...

Senior Data Engineer

Herndon, 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 ...

Senior Data Engineer

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 ...

BI DATA ENGINEER

Charlotte, NC

$111K - $134K/yr

Working closely with Finance Systems, FP&A, IT, Business Intelligence, and firm stakeholders, you will enable reliable, automated reporting and advanced analytics that support strategic decision ...

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Data Engineer ETL

Charlotte, NC · On-site

$75K - $125K/yr

This role operates within a regulated financial services environment and partners closely with data ... Engineer and optimize Snowflake data models (tables, views, secure data shares) to support ...

Data Engineer

Charleston, SC · On-site +1

$107K - $128K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

Data Engineer

Charleston, SC · On-site

$160K/yr

The Data Engineer will own the end-to-end data stack, including ingestion, transformation, modeling ... Design and implement canonical data models across financial and operational datasets. * Write and ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Finance Data Engineer

Austin, TX · On-site

$113K - $136K/yr

The Finance Data Engineer is a technical expert who creates data interfaces, pipelines and codebase that drives innovative data products for Apple Finance. They build reliable, accurate, consistent ...

Data Engineer 3

San Jose, CA · Hybrid

$65.49/hr

The Financial Data Engineer performs a wide range of job duties utilizing technical know-how and develop an analytics product that will generate insights into financial metrics and customer journey.

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 ...

Showing results 21-40

Weekday Financial Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do weekday financial data engineer jobs pay per year?

As of Aug 10, 2026, the average yearly pay for weekday financial data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What is the difference between Weekday Financial Data Engineer vs Financial Data Analyst?

AspectWeekday Financial Data EngineerFinancial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related field; strong analytical skills
Work EnvironmentData engineering teams, technical departments, often in tech-driven financial firmsFinance departments, investment firms, or banks, focusing on data interpretation
Employer & Industry UsageFinancial institutions, fintech companies, hedge fundsBanking, asset management, investment firms

Weekday Financial Data Engineers focus on building and maintaining data pipelines and infrastructure, while Financial Data Analysts interpret data to support decision-making. Both roles require strong analytical skills, but the engineer role emphasizes technical data management, whereas the analyst role centers on data analysis and reporting.

What cities are hiring for Weekday Financial Data Engineer jobs? Cities with the most Weekday 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 Weekday Financial Data Engineer jobs? States with the most job openings for Weekday Financial Data Engineer jobs include:

Data Engineer

IT America Inc

Mclean, VA • On-site

$115K - $139K/yr

Contractor

Re-posted 20 days ago


Job description

Position: Data Engineer

Location: Mclean, VA

Duration: Long term contract
Note: Looking for Ex-Capital One Employee / Contractor

About the Role:

We are seeking an experienced Data Engineer to join our team supporting Capital One. The ideal candidate will have a strong background in building scalable data pipelines, modern cloud data platforms, and working with large-scale financial data. This role involves working closely with Capital One’s data, analytics, and technology teams to design, implement, and optimize data solutions that enable advanced analytics and business insights.

Key Responsibilities:

  • Design, develop, and maintain robust, scalable, and secure data pipelines for Capital One applications.
  • Work with structured and unstructured data across cloud and on-premises environments.
  • Implement data ingestion, transformation, and integration processes using modern ETL/ELT frameworks.
  • Collaborate with data scientists, analysts, and product teams to enable data-driven decision-making.
  • Ensure data quality, governance, and compliance with Capital One and regulatory standards.
  • Optimize performance of large-scale data pipelines and storage solutions.
  • Work in Agile teams, following CI/CD and DevOps best practices.

Required Skills & Experience:

  • Strong experience in Data Engineering with hands-on development of ETL/ELT workflows.
  • Expertise in Python, SQL, and Spark (PySpark/Scala).
  • Proficiency in AWS Cloud Services (S3, Redshift, EMR, Glue, Lambda, etc.).
  • Experience with Snowflake or other cloud-based data warehouses.
  • Knowledge of data modeling, data lakes, and data warehouse design.
  • Experience with Airflow, DBT, or similar orchestration tools.
  • Strong understanding of CI/CD pipelines, Git, and DevOps practices.
  • Prior exposure to financial services, banking, or credit domain is highly desirable.

Nice-to-Have Skills:

  • Experience with Capital One-specific data platforms and tooling.
  • Exposure to real-time streaming technologies (Kafka, Kinesis).
  • Familiarity with machine learning pipelines.
  • Strong problem-solving and communication skills.

Education:

  • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or related field.