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

DPR Construction

Data Engineering Lead- Finance

Houston, TX

$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 ...

Stem Xpert

Big data engineer

Houston, TX · On-site

$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:

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... financial and parental needs, both now and in the future. When you join our team, you'll have ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... financial and parental needs, both now and in the future. When you join our team, you'll have ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... financial and parental needs, both now and in the future. When you join our team, you'll have ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI ... financial and parental needs, both now and in the future. When you join our team, you'll have ...

Par Pacific

Data Analyst

Houston, TX · On-site

... Finance operations on Google Cloud Platform. * Design and implement scalable data models and ... Bachelor's degree in Data Science, Information Systems, Statistics, Engineering, Computer Science ...

1 point system

Cost Engineer

Spring, TX · On-site

Dive deeply into financial data and become a subject matter expert to provide additional insight ... Bachelor's Degree in Engineering, Business or related field required * Minimum three (3) years ...

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All JobsFinancial Data Engineer JobsFinancial Data Engineer Jobs in Spring, TX

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 Jul 15, 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 engineers make $300,000 a year?

Senior financial data engineers with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms can earn $300,000 or more annually. High compensation is often associated with roles in large organizations, financial institutions, or tech companies, especially those requiring specialized expertise and leadership responsibilities.

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 engineers make $500,000?

Senior financial data engineers, especially those with extensive experience, advanced skills in data architecture, and proficiency in tools like SQL, Python, and cloud platforms, can earn $500,000 or more annually. High compensation often reflects leadership roles, specialized expertise, or work in high-demand industries such as finance or technology.

What does a financial data engineer do?

A financial data engineer designs, builds, and maintains data pipelines and infrastructure to process large volumes of financial data. They work with tools like SQL, Python, and cloud platforms to ensure data accuracy, security, and accessibility for analysis and decision-making. Strong programming skills and knowledge of financial systems are essential for this role.

Can I make 200k as a data engineer?

Financial Data Engineers with extensive experience, advanced skills in programming, data modeling, and tools like SQL and cloud platforms can potentially earn salaries of $200,000 or more, especially in high-cost living areas or with senior roles. Compensation varies based on location, industry, company size, and individual expertise.

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:
Financial Data Engineer jobs near you

Data Architect and Data Engineer openings

Tech Pro Inc.

Houston, TX • On-site

Other

Posted 27 days ago

Job description

Location: Houston, TX (hybrid) 3 days onsite regularly and 5 days onsite during go-live

seeking a hands-on Data Architect / Sr. Data Engineer with very strong expertise in SQL, Snowflake, and DBT to support a high-visibility financial analytics project. The role requires both architectural thinking and deep technical execution designing and coding data models, building pipelines, and optimizing performance in a collaborative, fast-paced environment.

Key Responsibilities

  1. Architect, design, and implement scalable data solutions leveraging Snowflake and DBT.
  2. Develop and optimize SQL queries, data models, and transformation pipelines.
  3. Collaborate with business stakeholders, analysts, and data scientists to translate requirements into efficient data solutions.
  4. Implement best practices for data governance, quality, security, and compliance.
  5. Monitor, troubleshoot, and enhance data pipelines for performance and reliability.
  6. Drive automation and CI/CD practices within the data engineering ecosystem.
  7. Provide technical leadership and mentorship to junior engineers where needed.

Required Skills & Experience

  1. 10+ years of experience in data engineering or data architecture roles.
  2. Strong hands-on expertise with Snowflake (data modeling, performance optimization, security, and integration).
  3. Proficiency in DBT for transformation and workflow management.
  4. Advanced knowledge of SQL (query optimization, complex joins, window functions, CTEs).
  5. Experience in data pipeline orchestration and integration tools (e.g., Airflow, Prefect, or similar).
  6. Solid understanding of ETL/ELT design patterns, data warehousing concepts, and modern data architectures.
  7. Familiarity with cloud platforms (AWS, Azure, or Google Cloud Platform).

Nice to Have

  1. Previous experience working in the financial services domain (banking, insurance, capital markets, fintech).
  2. Exposure to data visualization or BI tools (Tableau, Power BI, Looker).
  3. Experience with version control, CI/CD, and DevOps practices for data.
  4. Strong problem-solving, analytical, and communication skills.

    Resume direct to kumar @ techpro-inc . com with Subject: Applying from Dice (only this line)

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