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Financial Data Engineer Jobs in Spring, TX (NOW HIRING)

Background in financial trading, commodities, oil and gas, or a large banking/financial services ... Location: Houston, Texas 77098 If you are a Python Data Engineer with deep financial or energy ...

Senior Data Engineer

Houston, TX · On-site

$98K - $134K/yr

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture ... Work directly with clinical operations, finance, and business stakeholders to understand ...

Senior Data Engineer

Houston, TX

$98K - $134K/yr

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture ... Work directly with clinical operations, finance, and business stakeholders to understand ...

Senior Data Engineer

Houston, TX · On-site

$98K - $134K/yr

The Senior Data Engineer owns the design, implementation, and maintenance of our data architecture ... Work directly with clinical operations, finance, and business stakeholders to understand ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

The Senior Data Engineer will act as the technical steward of the enterprise data platform ... Support the validation of key operational and financial metrics from source systems through ...

That's why our benefits program supports your physical, emotional, mental, and financial health ... The Pricing Data Engineer builds and maintains the data infrastructure and tools that enable ...

Senior Data Engineer

Houston, TX · Remote

$108K - $147K/yr

Job SummaryThe Data Engineer - Asset Management Analytics supports internal Asset Management and ... This role partners with Asset Management, Asset Accounting, Finance/Investor Reporting, Risk, and ...

Senior Data Engineer

Houston, TX · On-site +1

$101K - $137K/yr

Job Summary The Data Engineer - Asset Management Analytics supports internal Asset Management and ... This role partners with Asset Management, Asset Accounting, Finance/Investor Reporting, Risk, and ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Job Summary The Data Engineer - Asset Management Analytics supports internal Asset Management and ... This role partners with Asset Management, Asset Accounting, Finance/Investor Reporting, Risk, and ...

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Consolidate data across ERP, CRM, PSA, HR, payroll, and financial systems * Design and implement ... engineering * Experience with modern cloud data platforms (Fabric, Snowflake, or Databricks)

Data Engineering Lead- Finance

Houston, TX · On-site

$109K - $131K/yr

We are looking for a talented Data Engineer to join our team and contribute to developing robust data solutions that support our business goals. This role is ideal for someone who enjoys combining ...

Senior Data Engineer, Python

Houston, TX · On-site +1

$109K - $131K/yr

By streamlining data integration and enhancing collaboration, we help operators, engineers, and financial teams make informed decisions faster. Trusted by top energy companies, ComboCurve delivers ...

Big data engineer

Houston, TX

$53.25 - $70.50/hr

The company is primarily focused on information technology, engineering, healthcare, financial ... Big Data Engineer Location: Houston, TX- locals highly preferred Duration: Through 3/31/2017 Notes:

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Showing results 1-20

Financial Data Engineer information

See Spring, TX salary details

$39.6K

$115.4K

$158K

How much do financial data engineer jobs pay per year?

As of Jun 9, 2026, the average yearly pay for financial data engineer in Spring, TX is $115,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $101,900.00 and $122,400.00 per year, depending on experience, location, and employer.

What is a Financial Data Engineer job?

A Financial Data Engineer is responsible for designing, building, and optimizing data pipelines that process and analyze financial data. They work with large datasets, databases, and cloud platforms to ensure data is accurate, efficient, and accessible for financial analysts and decision-makers. This role requires expertise in programming languages like Python or SQL, data modeling, and financial domain knowledge. Financial Data Engineers help improve data quality and automate workflows, enabling organizations to make data-driven financial decisions.

What types of projects or responsibilities can I expect as a Financial Data Engineer?

As a Financial Data Engineer, you’ll typically design, develop, and maintain pipelines that collect and process large sets of raw financial data for analysis and reporting. You’ll work closely with data scientists, financial analysts, and software engineers to ensure high data quality and seamless integration with downstream applications. Common projects include automating data ingestion from different sources, transforming and warehousing financial datasets, and helping implement analytics or business intelligence platforms. The role often involves troubleshooting data issues, optimizing performance, and supporting strategic business initiatives through actionable data insights. This environment provides excellent opportunities for both technical growth and exposure to the finance industry.

What are the key skills and qualifications needed to thrive in the Financial Data Engineer position, and why are they important?

To thrive as a Financial Data Engineer, you need strong programming skills (such as Python or SQL), expertise in data modeling, and a solid understanding of financial systems or markets, typically supported by a degree in computer science, finance, or a related field. Familiarity with tools like AWS, Hadoop, Spark, or Tableau, and relevant certifications such as CFA or data engineering qualifications, are highly valued. Strong problem-solving abilities, analytical thinking, and effective communication skills set top candidates apart in this field. These skills ensure accurate financial data solutions, seamless collaboration with stakeholders, and the ability to adapt to rapidly evolving financial technologies.

What job categories do people searching Financial Data Engineer jobs in Spring, TX look for? The top searched job categories for Financial Data Engineer jobs in Spring, TX are:
What cities near Spring, TX are hiring for Financial Data Engineer jobs? Cities near Spring, TX with the most Financial Data Engineer job openings:
Python Data Engineer

Other

Posted 6 days ago


Job description

A well-established energy trading firm in Houston is seeking a seasoned Python Data Engineer to expand its data assets and directly elevate its analytical and trading capabilities. In this role, you will sit at the intersection of engineering and the business — working shoulder-to-shoulder with traders, researchers, analysts, and data scientists to define requirements and deliver production-grade data solutions. You will own the design and implementation of modular, reusable data ingestion pipelines, ensuring code quality and architectural consistency across a centralized codebase. This is a high-impact individual contributor role for an engineer who thrives in a fast-paced, collaborative environment and wants their work to have a measurable effect on real trading decisions.

Key Responsibilities:

  • Interface directly with traders, analysts, researchers, and data scientists to gather, refine, and prioritize data requirements, translating complex business needs into functional, production-ready Python code.

  • Design, build, and maintain robust ETL and data ingestion pipelines using Python and Pandas, ensuring data accuracy, reliability, and performance at enterprise scale.

  • Write modular, reusable components for data interaction that conform to existing architecture patterns, coding conventions, and centralized codebase standards.

  • Coordinate efficiently with a globally distributed team of developers and business sponsors to deliver data solutions that span time zones and organizational boundaries.

  • Participate actively in the internal Python development community, acting as a technical liaison and working to standardize and consolidate core functionality within shared developer tooling.

  • Perform high-level technical troubleshooting across the data platform, diagnosing issues within a modular component architecture and driving them to resolution with minimal disruption to downstream consumers.

Requirements:

  • 6 to 15 years of professional, enterprise-level Python development experience — candidates must be able to demonstrate a strong tenure record at one or a small number of employers.

  • Deep, hands-on proficiency with the Pandas library for data manipulation, transformation, and pipeline development in a production environment.

  • Proven experience building and maintaining ETL and data ingestion pipelines at enterprise scale, with a track record of delivering clean, well-architected code.

  • Background in financial trading, commodities, oil and gas, or a large banking/financial services firm — this domain context is essential for working effectively alongside trading and research teams.

  • Demonstrated ability to gather technical requirements directly from non-engineering stakeholders such as traders, analysts, and researchers, and translate those needs into reliable technical solutions.

  • Strong collaborative instincts and the communication skills to work across global development teams, contributing to shared codebases and upholding engineering standards.

Role Details:

  • Employment Type: Direct Hire

  • Location: Houston, Texas 77098

If you are a Python Data Engineer with deep financial or energy trading domain experience and a passion for building data infrastructure that drives real business decisions, we encourage you to apply.


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