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Intern Databricks Data Engineer Jobs in Texas (NOW HIRING)

Incedo Inc

Data Engineer

Austin, TX

$113K - $136K/yr

Data Engineer Wealth Management Platform Employment Type: Full-Time About the Role We are seeking a ... The ideal candidate brings hands-on experience with Databricks and the Microsoft cloud ecosystem, a ...

Kasmo Global

Data Engineer

Dallas, TX

$113K - $136K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Power Apps, and Azure Functions e. CI/CD: GitHub, Azure DevOps, Terraform f. BI Analytics Tool Stack - Cognos, Power BI Preferred ...

Siri InfoSolutions Inc

Data Engineer

Frisco, TX · On-site

$107K - $128K/yr

Data Engineer - GA UPDATE: 7 positions open!! 5 SUB SPOTS AVAILABLE!!! Location: Dunwoody, GA ... Utilize Databricks with Spark and Python/Scala for data transformation and analytics * Manage ...

NAVA Software Solutions

Principal Data Engineer

Houston, TX · On-site

$106K - $127K/yr

Principal Data Engineer Location: Houston, TX - 4 days/week onsite Duration: Full time / Direct ... Design data solutions on Databricks including Delta Lake, Data Warehouse, Data Mart and others to ...

Futran Tech Solutions Pvt. Ltd.

Azure Data Engineer

Dallas, TX · On-site

$105K - $126K/yr

Databricks Certification Minimum Requirements: Bachelor's degree in Computer Science, Engineering ... or data engineering solutions. 5+ years of data analytics experience using SQL and working with ...

CEDENT

Azure Databricks Engineer

Dallas, TX

$59.25 - $77.25/hr

Azure Databricks Architecture & Design : * Design, build, and optimize scalable, high-performance ... Data Engineering & Integration : * Design and implement ETL/ELT processes to ingest, process, and ...

Syntricate Technologies

Data Engineer

Dallas, TX

$113K - $136K/yr

Data Factory, Azure Databricks, Azure DevOps, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Power BI. * 5-7 years data analytics experience using SQL * 5-7 years of cloud development and ...

KellyMitchell Group

Data Engineer

Fort Worth, TX

$44 - $54/hr

This role will focus on migrating DataStage workloads to Azure Databricks and Azure Data Factory ... Bachelor's degree in Computer Science, Computer Engineering, Technology, Information Systems (CIS ...

Programmers.io

Data Engineer

Dallas, TX · On-site

$113K - $136K/yr

Role - Data Engineer • 2-3 years of hands-on experience in Data Engineering • Strong experience in Python and PySpark/Spark for large-scale data processing • Experience working with Databricks ...

Qode

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Databricks Certified (Associate or Professional) or demonstrated deep, hands-on Databricks ... data warehouse or lakehouse architecture * Demonstrated use of AI tools in day-to-day engineering ...

Pwc

Data Engineer - Senior Associate

San Antonio, TX

$77K - $202K/yr

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

Saxon Global

ML Engineer

Austin, TX

We are looking for a hands-on Senior Data Engineer to design, build, and operationalize ETL/ELT pipelines in Azure Databricks for manufacturing data and analytics use cases. This role will focus on ...

KaashTech LLC

Data Engineer

Dallas, TX

$113K - $136K/yr

Azure Data Factory, Azure Databricks, Azure Blob Storage, Azure Data Lake, Azure Power Apps and Azure Functions o CI/CD: GitHub, Jenkins, Azure DevOps, Terraform o BI Analytics Tool Stack - Cognos ...

Pwc

Data Engineer - Senior Manager

Dallas, TX

$124K - $280K/yr

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

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All JobsIntern Databricks Data Engineer JobsIntern Databricks Data Engineer Jobs in Texas

Intern Databricks Data Engineer information

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

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Intern Databricks Data Engineer jobs near you
Data Engineer

Data Engineer

Incedo Inc

Austin, TX

$113K - $136K/yr

Other

Posted 12 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

Apply