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Weekend Financial Data Engineer Jobs (NOW HIRING)

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 ...

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 ...

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.

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 ...

Sr. Snowflake Data Engineer - Finance

Austin, TX · On-site

$113K - $136K/yr

... financial reporting and decision-making. Responsibilities : • Serve as the Snowflake technical lead for Finance, defining architecture, standards, and best practices for data engineering and data ...

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

... financial data integrity checks • Support the migration from legacy systems to a modern data ... engineering, including building, maintaining, and optimizing data pipelines and workflow • ...

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 ...

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Showing results 1-20

Weekend Financial Data Engineer information

See salary details

$60.5K

$122.1K

$167.5K

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

As of Jul 15, 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.

More about Weekend Financial Data Engineer jobs
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:
Infographic showing various Weekend Financial Data Engineer job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $122,112 per year, or $58.7 per hour.
Data Engineer

$128K - $154K/yr

Other

Re-posted 16 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