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Weekend 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 ...

Upside

Lead Financial Data Analyst

Washington, DC · On-site

$145K - $165K/yr

Sitting at the intersection of FP&A and Data Engineering, you will scale our financial data infrastructure, replace legacy reporting with automated pipelines, and deliver high-impact analytics ...

QUANTUM TECHNOLOGIES LLC

Data Engineer

Minneapolis, MN · On-site

$87/hr

Data engineering and ELT/ETL development Python, SQL, Spark Financial data processing Cloud-native data platforms Performance optimization and automation I look forward to hear from you and work with ...

Moore & Van Allen

BI DATA ENGINEER

Charlotte, NC · On-site

$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 ...

Ryan Consulting Group

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 ...

KORE1 Technologies

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 ...

Apple

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 ...

Apple

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 ...

KORE1 Technologies

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 ...

KORE1 Technologies

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 ...

Syndeo,-LL

Data Engineer

Carolina, PR · On-site

$65K - $70K/yr

Syndeo's Data Science practice combines clinical and financial data into a single, automated view ... We are looking for a Data Engineer to build and operate the pipelines that make this possible ...

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Weekend Financial Data Engineer information

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$60.5K

$122.1K

$167.5K

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

As of Sep 13, 2026, the average yearly pay for weekend financial data engineer in the United States is $122,112.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,500.00 and $140,000.00 per year, depending on experience, location, and employer.

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

AspectWeekend Financial Data EngineerWeekend Financial Data Analyst
Required CredentialsBachelor's in Computer Science, Finance, or related field; experience with data engineering toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentFocus on building data pipelines, managing databases, and infrastructureFocus on analyzing data, creating reports, and providing insights
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanking, investment firms, financial consultancies
Common Search & ComparisonOften compared based on technical skills and infrastructure tasksCompared based on analytical skills and reporting capabilities

The Weekend Financial Data Engineer primarily focuses on developing and maintaining data infrastructure, requiring technical skills in data engineering tools. In contrast, the Weekend Financial Data Analyst emphasizes analyzing financial data and generating insights. Both roles are vital in financial organizations but differ in their core responsibilities and skill sets.

What cities are hiring for Weekend Financial Data Engineer jobs?

Cities with the most Weekend 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 Weekend Financial Data Engineer jobs?

States with the most job openings for Weekend Financial Data Engineer jobs include:

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For Weekend Financial Data Engineer jobs, the most frequently searched job titles are:

Weekend Financial Data Engineer jobs near you
Infographic showing various Weekend Financial Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.

Senior Data Engineer

Chantilly, VA

VTG
See more jobs at VTGexternal

$109K - $148K/yr

Full-time

Re-posted 18 days ago

Job description

Overview

VTG is seeking a talented and experienced Senior Data Engineer to serve as an integrator between business needs and technical solutions. Must be able to work creatively and efficiently to solve difficult technical problems.

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 impact the efficiency and effectiveness of data processing, setting the stage for advanced data analysis and decision-making. The ideal candidate will bring a proven track record of building and implementing ETL processes, with a keen eye for optimizing data for various enterprise applications. If you have a passion for data engineering and are ready to take on a challenge that marries technical prowess with mission-critical analysis, this is the opportunity for you.


What will you do?

  • As a Data Engineer in this role, you will be at the forefront of transforming financial data into actionable insights for a mission-driven customer.

  • Your primary responsibility will be to develop, optimize, and maintain robust ETL processes and data pipelines.

  • You will leverage your expertise in Python and SQL to condition and normalize both raw and structured data, enhancing its usability and searchability within downstream enterprise tools. Your work will be pivotal in implementing cutting-edge technology, including AI models, to improve data fidelity and accelerate data engineering tasks.

  • Familiarity with Apache Airflow and Apache Hop will be beneficial as you build new and repeatable workflows to support the team's objectives.

  • Your success in this position will be bolstered by your ability to work independently as well as collaboratively with a team of technical experts, data managers, and operational stakeholders. Experience with Amazon Web Services (AWS) will be crucial as you deploy scalable solutions in a cloud environment. While not mandatory, a background in Kubernetes will give you an edge, as will any experience with financial data and language translation models.


Do you have what it takes?
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Qualifications:
  • Active TS/SCI with Polygraph required.
  • Bachelor’s degree in computer science, Software Engineering, or related field.

Required Skills:

  •  Python
  •  Structured Query Language (SQL)
  •  Apache Airflow
  •  Apache Hop
  •  Experience normalizing raw, unstructured, and structured data
  •  Ability to work independently and collaboratively
  •  Experience building, optimizing, and implementing ETL processes and data pipelines
  •  Experience with Amazon Web Services (AWS)           

Desired Skills:

  •  Experience with financial data
  •  Experience with language translation models
  •  Experience using Kubernetes

This position is open for current and future positions.

Education:UNAVAILABLEEmployment Type: FULL_TIME

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