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Data Source Jobs in Texas (NOW HIRING)

National Trench Safety

Analytics Engineer

Houston, TX · On-site

$110 - $150/hr

Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) - you understand that business rules, not just dates, often drive how records should be deduplicated ...

KIPP Texas Public Schools

Data Analyst

Houston, TX · Hybrid

Support the successful migration of current reporting assets from Tableau to the Power BI platform, including data source verification, report recreation, and establishing data validation protocols.

KIPP

Data Analyst

Houston, TX · Hybrid

Support the successful migration of current reporting assets from Tableau to the Power BI platform, including data source verification, report recreation, and establishing data validation protocols.

Innova Solutions, Inc

Data Architect

Addison, TX · On-site

$68/hr

Enforce strict adherence to Authorized Data Source policies, lineage requirements, and governance rules. * Validate that all data consumed or produced aligns with enterprise data standards. * Partner ...

National Trench Safety, LLC

Analytics Engineer

Houston, TX · On-site

$90 - $130/hr

Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) - you understand that business rules, not just dates, often drive how records should be deduplicated ...

Accenture

OneStream Integration Lead

Houston, TX

Design data mapping and transformation logic to align source system data structures with OneStream cube dimensions. * Implement and maintain scheduled automation of data loads using OneStream ...

New

Accenture

OneStream Integration Lead

Dallas, TX

Design data mapping and transformation logic to align source system data structures with OneStream cube dimensions. * Implement and maintain scheduled automation of data loads using OneStream ...

New

Accenture

OneStream Integration Lead

Austin, TX

Design data mapping and transformation logic to align source system data structures with OneStream cube dimensions. * Implement and maintain scheduled automation of data loads using OneStream ...

New

CACI

All Source Analyst

San Antonio, TX · On-site

Integrate multiple intelligence disciplines, capabilities, and data streams to produce tradecraft-compliant all-source intelligence assessments. Monitor and assess information to identify emerging ...

CACI

All Source Analyst

San Antonio, TX · On-site

Integrate multiple intelligence disciplines, capabilities, and data streams to produce tradecraft-compliant all-source intelligence assessments. Monitor and assess information to identify emerging ...

NTT DATA, Inc.

All-Source Intelligence Analyst

Houston, TX · On-site

$72 - $108/hr

NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with ... We are currently seeking a All-Source Intelligence Analyst to join our team in Houston, Texas (US ...

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Showing results 21-40

All JobsData Source JobsData Source Jobs in Texas

Data Source information

See Texas salary details

$42.9K

$153.7K

$226.9K

How much do data source jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data source in Texas is $153,740.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,400.00 and $158,400.00 per year, depending on experience, location, and employer.

What is a data source?

Data sources are origins or locations from which data is obtained for analysis, reporting, or storage. They can include databases, spreadsheets, APIs, data warehouses, or even physical files. In technology and business contexts, a data source provides the raw information that systems and analysts use to make informed decisions or drive applications. Understanding the type and structure of a data source is crucial for effective data integration and management.

What are the key skills and qualifications needed to thrive as a data source, and why are they important?

To thrive as a Data Source, you need a comprehensive understanding of data collection, data integrity, and compliance with relevant data standards, often supported by experience in data management or information systems. Familiarity with database management systems, data warehousing tools, and data governance frameworks is typically required. Strong attention to detail, analytical thinking, and effective communication skills are essential soft skills for ensuring accurate and accessible data delivery. These abilities are crucial for maintaining data quality, supporting decision-making, and upholding organizational trust in information assets.

How do data source professionals typically collaborate with data engineers and analysts on large projects?

Data Source professionals play a key role in bridging the gap between raw data and actionable insights. They work closely with data engineers to ensure data is collected, integrated, and maintained accurately from multiple sources, while also collaborating with analysts to understand data requirements and support reporting needs. Regular communication and alignment meetings are common, and successful collaboration often involves clearly documenting data flows, troubleshooting data quality issues, and jointly developing data pipelines. This teamwork helps ensure that data is reliable, accessible, and tailored to the organization's analytical goals.

What is the difference between Data Source vs Data Analyst?

AspectData SourceData Analyst
Primary RoleProvides raw data for analysisInterprets and analyzes data to generate insights
Required SkillsData collection, database managementData analysis, visualization, reporting
Work EnvironmentData collection points, databases, data warehousesOffice, remote, analytics teams
CertificationsDatabase certifications, data managementExcel, SQL, data analysis certifications

In summary, a Data Source focuses on providing and managing raw data, while a Data Analyst interprets this data to support decision-making. Both roles are essential in the data ecosystem but serve different functions within the data workflow.

What are popular job titles related to Data Source jobs in Texas?

For Data Source jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Data Source jobs in Texas look for?

The top searched job categories for Data Source jobs in Texas are:

Data Source jobs near you
Infographic showing various Data Source job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $153,740 per year, or $73.9 per hour.

Analytics Engineer

National Trench Safety

Houston, TX • On-site

$110 - $150/hr

Other

Posted 27 days ago

National Trench Safety rating

7.7

Company rating: 7.7 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

88th of 177 rated vehicle equipment hire

Job description

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Full-time Regular Professional Houston, TX, US

3 days ago Requisition ID: 2205

J ob Summary

The Data & Analytics team builds the reporting and data infrastructure that supports company-wide decision-making. The Analytics Engineer will own the layer between raw data and finished reporting, combining SQL data modeling with Power BI semantic models and dashboards.

This hybrid role partners with the Sr. Manager, Data & Analytics and business stakeholders across Finance, Operations, and other functions to build accurate, well-documented data models, support scheduled data pipelines, and troubleshoot refresh or pipeline issues as needed.

Key Responsibilities

  • Data modeling & SQL:Design, build, and maintain SQL views, staging tables, and fact/dimension models in our Azure SQL data warehouse, including deduplication and business-rule logic (e.g., status-based routing, multi-source reconciliation).
  • Semantic models & reporting:Build and maintain Power BI semantic models — relationships, DAX measures, security roles — and the reports and dashboards built on top of them for business stakeholders and company-wide reporting.
  • Pipeline support:Share responsibility with the Sr. Manager, Data & Analytics for monitoring scheduled Azure Data Factory pipelines and Power BI dataset refreshes. Respond to failures and perform basic troubleshooting.
  • Pipeline modifications: Make minor modifications to existing pipelines to support new or changing business requirements, as your familiarity with the tooling grows.
  • Business partnership:Partner with business SMEs to translate reporting requests and business logic (commission structures, revenue recognition, inventory rules, etc.) into accurate, well-documented data models.
  • Documentation:Write and maintain documentation for data models, metric definitions, and report logic so that data lineage and ownership are clear beyond any one person.
  • Standards & quality:Follow and help evolve team standards for naming conventions, DAX style, and semantic model design as the team's practices mature.
  • Continuous Improvement: Proactively identify opportunities for process improvements, optimize current data workflows, and incorporate new technologies or tools to enhance data analytics capabilities.

Knowledge and Skills

Required

  • Solid Power BI experience beyond report formatting — you've built semantic models from scratch and written DAX involving CALCULATE, filter context, and context transition, not just basic aggregations.
  • A track record of working directly with business stakeholders to translate ambiguous requirements or business rules into a working data model.
  • Strong attention to detail with data integrity — you double-check your joins and know how a bad join or an inclusive date boundary can quietly break a report.

Preferred

  • Exposure to an ERP or other core business system as a data source (order, invoicing, or GL data) - you understand that business rules, not just dates, often drive how records should be deduplicated or classified.
  • Understanding of ETL/ELT concepts and working knowledge of orchestration tools like Azure Data Factory or similar tools for automating data pipelines.
  • Familiarity with Microsoft Fabric Administration and Environment (Lakehouses, Dataflows Gen2) — not required, but a plus given our platform direction.
  • Basic Git/source control experience.

Qualifications

  • Bachelor’s degree in Computer Science, Data Science, Information Systems, or a related field. Master’s degree is a plus.
  • Minimum (three) 3+ years in a data-focused role (analytics engineer, BI developer, data analyst, or similar) with hands-on SQL work — comfortable with CTEs, window functions, and reading/writing complex, multi-source views.
  • Knowledge of data quality frameworks and data governance practices.
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