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

Cyrten

Data Scientist / Engineer

Spring, TX

... or financial investigations. - Proficiency in programming languages such as Python, R, or similar. - Proficiency with ETL processes and data integration. - Strong knowledge of data indexing, search ...

FloWorks International

Senior Data Engineer

Houston, TX · On-site

$101K - $137K/yr

Bachelor's degree in technology, mathematics, statistics, accounting, finance, or a related ... Proficient in Python programming and data modeling using the Kimball Method (Star Schema)

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

$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

$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 ...

INSPYR Solutions

Data & AI Engineer

Houston, TX · On-site

$109K - $131K/yr

Data & AI Engineer Location: Houston, TX 77079 or Austin, TX 78752 Duration: Long-Term Contract ... Familiarity with ERP source systems (field service management, inventory, or financial platforms)

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 ...

Skanska USA

Data Analytics Engineer

Houston, TX · On-site

$109K - $131K/yr

Job Overview Skanska is searching for a dynamic Data Analytics Engineer. This is a great ... Compensation and financial well-being - Competitive base salary, excellent bonus program, 401k ...

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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:
Financial Data Engineer jobs near you

Sr. Data Engineer with Dynamic 365 Experience (Onsite-TX)

Techouts, Inc

Houston, TX

$109K - $131K/yr

Other

Posted 4 days ago

Job description

About the Role

We are seeking a Sr. Data Engineer to design, build, and optimize enterprise data solutions across our Microsoft ecosystem. This role focuses on Microsoft Fabric, Power BI, and Azure data services (including Azure Data Factory, Azure Data Lake, and Azure SQL Database/Data Warehouse) to support analytics, operational reporting, and self-service BI.

About You

  • Bachelor s degree in computer science, Information Systems, Data Engineering, Data Science, Software Engineering, Applied Mathematics, or a related technical field; equivalent experience considered.
  • 7+ years of experience in data engineering roles, with significant hands-on background in development/engineering background.
  • Strong SQL and data modeling skills:
    • Design and optimization of relational and analytical models; complex queries and tuning.
    • Experience with stored procedures, views, indexing strategies, and query performance diagnostics.
  • Proven track record designing and governing Power BI solutions:
    • Enterprise datasets/semantic models, DAX, RLS, and deployment pipelines.
    • Creating and supporting Power BI reports and dashboards, including maintaining legacy content while transitioning to new data sources.
    • Experience migrating reports and datasets from legacy ERP systems such as JD Edwards to Dynamics 365, including side-by-side reconciliation and validation.
  • Hands-on experience with Microsoft Fabric or similar Azure services:
    • Worked with Lakehouse/Warehouse, Power BI reports, and semantic models.
    • Implementing governance, security, and performance best practices.
    • Experience creating and managing Microsoft Fabric data pipelines or Azure Data Factory, including orchestration, monitoring, and error handling.
    • Expertise in Python for data engineering, advanced transformation, automation, and integration tooling, including scripting for Fabric, Data Factory, and API-based integrations.
  • Experience with DevOps and ALM for Power Platform, Fabric, and Azure resources (e.g., Azure DevOps or GitHub Actions).
  • Solid understanding of security, identity, and compliance:
    • Azure AD/Entra ID, OAuth, service principals/managed identities, and secrets management.
    • Awareness of controls needed for SOX/ITand public-company environments.

Nice to have

  • Experience with reporting and analytics for Dynamics 365
    • Building or supporting Power BI / Fabric-based reporting on top of D365 data.
    • Migrating reports and datasets from legacy ERP systems (e.g., JD Edwards) to Dynamics 365, including side-by-side reconciliation and validation
  • Experience with Dynamics 365 (F&O and/or CE) and its integration capabilities:
    • Data entities, Dataverse, OData/REST APIs, webhooks, and export-to-data-lake patterns.
    • Understanding of core D365 data models and key financial/operational processes.
  • Experience with additional Azure services (e.g., Azure Functions, Service Bus, Event Grid, API Management, Data Factory beyond Fabric scenarios).

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