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Weekend Financial Data Engineer Jobs in Texas (NOW HIRING)

Incedo Inc

Data Engineer

Austin, TX

$113K - $136K/yr

This role sits at the intersection of financial data and modern cloud engineering you will design, build, and maintain the data pipelines and infrastructure that power our advisor and client ...

Self Financial

Staff Data Engineer

Austin, TX

$160K - $195K/yr

As part of the Self Financial Data Engineering Team, your role will be to ensure that data remains a strategic asset for Self Financial by delivering timely, high-quality, and purpose-built data to ...

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 ...

AMD

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 ...

Apple

Finance Data Engineer

Austin, TX

$146K - $244K/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

$146K - $244K/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

$146K - $244K/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

$146K - $244K/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 ...

Self Financial

Staff Data Engineer

Austin, TX · On-site

$160K - $195K/yr

Self Financial is a venture-backed, high-growth FinTech company with a mission to increase economic ... As our Staff Data Engineer, you will be responsible for organizing plans that drive outcomes and ...

Spar Information Systems

Azure Data Engineer

Frisco, TX

$107K - $128K/yr

Role: Sr Azure Data Engineer Location: Frisco, TX 3 days onsite in a week Duration: Long term ... G(Bs Finance and Intelligence platforms. This role requires deep expertise in modern cloud data ...

Mavensoft Technologies, LLC.

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Job Title : Sr. Data Engineer Work location : Onsite in Dallas, TX Duration : 6 months Term : W2 ... Support analytics and reporting use cases, including data reconciliation, validation, and financial ...

Incedo

Lead Data Engineer

Austin, TX · On-site

$113K - $136K/yr

This role sits at the intersection of financial data and modern cloud engineering - you will design, build, and maintain the data pipelines and infrastructure that power our advisor and client ...

DP Professionals

Data Engineer

Dallas, TX

$113K - $136K/yr

DPP is seeking a Data Engineer for a position with our client, a leading global investment firm ... Support analytics and reporting use cases, including data reconciliation, validation, and financial ...

Allworth Financial

Sr. Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Allworth Financial (www.allworthfinancial.com) is an independent investment financial advisory firm ... We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ...

Allworth Financial

Sr. Data Engineer

Dallas, TX

$113K - $136K/yr

Allworth Financial (www.allworthfinancial.com) is an independent investment financial advisory firm ... We are looking for a Senior Data Engineer, or similarly experienced data modernization professional ...

EXL

Data Engineer

Dallas, TX

$113K - $136K/yr

Cloud Data Engineering Data Engineers design and build data systems and pipelines. Responsibilities ... Financial Tools * Microsoft Power BI Software * Prosci ADKAR * Risk Assessment Tools * Stakeholder ...

K&L Gates

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... across Finance, HR, Client Growth, and Legal Operations. Using Fabric Data Factory, Notebooks ... evenings or weekends with prior notice. • Demonstrate proficiency translating business ...

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All JobsFinancial Data Engineer JobsWeekend Financial Data Engineer JobsWeekend Financial Data Engineer Jobs in Texas

Weekend Financial Data Engineer information

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 are the most commonly searched types of Financial Data Engineer jobs in Texas? The most popular types of Financial Data Engineer jobs in Texas are:
What are popular job titles related to Weekend Financial Data Engineer jobs in Texas? For Weekend Financial Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Weekend Financial Data Engineer jobs in Texas look for? The top searched job categories for Weekend Financial Data Engineer jobs in Texas are:
What cities in Texas are hiring for Weekend Financial Data Engineer jobs? Cities in Texas with the most Weekend Financial Data Engineer job openings:
Weekend Financial Data Engineer jobs near you
Data Engineer

Data Engineer

Incedo Inc

Austin, TX

$113K - $136K/yr

Other

Posted 18 days ago

Job description

Data Engineer Wealth Management Platform

Employment Type: Full-Time

About the Role

We are seeking a skilled Data Engineer with a strong wealth management background to join our data and technology team. This role sits at the intersection of financial data and modern cloud engineering you will design, build, and maintain the data pipelines and infrastructure that power our advisor and client reporting, reconciliation processes, and platform integrations.

The ideal candidate brings hands-on experience with Databricks and the Microsoft cloud ecosystem, a deep understanding of wealth management data domains, and the ability to leverage AI tooling to accelerate their daily work.

Key Responsibilities

Data Pipeline Development & Engineering

  • Design, build, and maintain scalable data pipelines using Databricks and Azure cloud services
  • Develop and optimize PySpark and Python-based ETL/ELT workflows for ingesting, transforming, and serving wealth management data
  • Build and manage data models that support advisor, account, client, position, transaction, and security datasets
  • Ensure data pipelines meet performance, reliability, and latency requirements for downstream consumers

Financial Data & Reconciliation

  • Reconcile financial datasets across custodians, internal systems, and third-party data providers identifying and resolving breaks at the position, transaction, and account level
  • Partner with operations and service teams to investigate and resolve data discrepancies impacting advisors and clients
  • Implement data quality checks, validation rules, and alerting to proactively catch data integrity issues
  • Support the build-out of reconciliation frameworks that scale across growing data volumes and entity counts

Cloud Infrastructure & Platform

  • Build and manage data infrastructure on Microsoft Azure, including Azure Data Factory, Azure Data Lake, and related services
  • Contribute to the architecture and governance of the data lakehouse environment within Databricks (Delta Lake, Unity Catalog)
  • Collaborate with platform and DevOps teams on CI/CD pipelines, environment management, and data infrastructure as code

AI-Augmented Engineering

  • Actively leverage AI coding assistants and automation tools (e.g., GitHub Copilot, Claude, ChatGPT) to accelerate development, code review, and documentation
  • Identify opportunities to apply AI/ML techniques to financial data problems such as anomaly detection, break prediction, or data classification
  • Stay current on emerging AI tooling and bring practical recommendations to the team
Required Qualifications
  • 5 8 years of experience in data engineering, with direct exposure to wealth management data domains
  • Databricks Certified (Associate or Professional) or demonstrated deep, hands-on Databricks expertise in a production environment
  • Proficiency in Python and PySpark for building and optimizing large-scale data pipelines
  • Hands-on experience with Microsoft Azure cloud services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse, or equivalent)
  • Direct experience working with wealth management data including positions, transactions, accounts, clients, advisors, and security master data
  • Experience reconciling financial datasets across custodians, platforms, or internal systems
  • Strong understanding of data modeling, ETL/ELT patterns, and data warehouse or lakehouse architecture
  • Demonstrated use of AI tools in day-to-day engineering work this is not optional; we expect engineers to be actively leveraging AI to move faster and work smarter

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