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Part Time Azure Data Engineer Jobs in Texas (NOW HIRING)

T3i, Inc.

Data Engineer

San Antonio, TX

$103K - $124K/yr

The Data Engineer supports T3i's Integrated Analytics effort by designing, developing, and ... part time, and independent contractor) and annual random drug screening for all current T3i ...

Globe Life Inc.

Data & AI Engineer III (Hybrid)

Mckinney, TX · On-site

$106K - $127K/yr

Data & AI Engineer III (Hybrid) Primary Duties & Responsibilities At Globe Life, we are committed ... Ability to work full time and/or part time based on the position specifications. How Globe Life ...

ISHIR

Database Warehouse Architect

Dallas, TX · On-site

... and guide engineering teams. This is not a full-time or staff-augmentation role; it is a high ... Strong experience designing cloud-native data platforms on AWS, Azure, or GCP. * Solid ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

Collaborate with data analysts, data scientists, and data engineers as well as stakeholders to gain ... Familiarity with SQL and cloud data platforms (Databricks, Azure, AWS, or equivalent). * Strong ...

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All JobsAzure Data Engineer JobsPart Time Azure Data Engineer JobsPart Time Azure Data Engineer Jobs in Texas

Part Time Azure Data Engineer information

What is the difference between Part Time Azure Data Engineer vs Part Time Data Analyst?

AspectPart Time Azure Data EngineerPart Time Data Analyst
Required CredentialsAzure certifications, SQL, data engineering skillsExcel, SQL, data visualization tools
Work EnvironmentCloud platforms, data pipelines, ETL processesData interpretation, reporting, dashboards
Employer & Industry UsageTech, finance, healthcare with cloud focusMarketing, retail, finance with data analysis needs

Part Time Azure Data Engineers focus on building and maintaining cloud-based data infrastructure using Azure tools, while Part Time Data Analysts interpret data and create reports. Both roles often work in similar industries but serve different functions within data management and analysis.

What are some common challenges faced by part-time Azure Data Engineers, and how can they effectively manage their workload?

Part-time Azure Data Engineers often face the challenge of balancing multiple responsibilities within limited working hours, particularly when handling complex data pipelines or troubleshooting urgent issues. To manage these demands effectively, clear communication with the team about availability and priorities is essential. Utilizing Azure's automation features, such as Data Factory scheduling and monitoring tools, can help streamline recurring tasks and ensure timely project delivery. Regular check-ins and documentation also help maintain project continuity and collaboration with full-time team members.

What is a Part Time Azure Data Engineer?

A Part Time Azure Data Engineer is a professional who works on a flexible or reduced schedule to design, implement, and manage data solutions using Microsoft Azure cloud services. They are responsible for tasks such as building data pipelines, setting up data storage, and ensuring security and scalability of data systems, but typically work fewer hours than a full-time employee. This role often involves collaborating with other engineers and data professionals to support business analytics or data-driven projects, all while leveraging Azure tools and technologies.

What are the key skills and qualifications needed to thrive as a Part Time Azure Data Engineer, and why are they important?

To thrive as a Part Time Azure Data Engineer, you need a solid understanding of data engineering concepts, SQL, and cloud computing, typically backed by experience with Azure services and a relevant degree or certification. Familiarity with tools like Azure Data Factory, Azure SQL Database, Databricks, and knowledge of data modeling and ETL processes are essential. Strong problem-solving abilities, attention to detail, and effective communication skills help you collaborate with stakeholders and ensure data quality. These skills and qualities are crucial for delivering reliable, scalable data solutions and supporting business intelligence needs in a flexible, part-time capacity.
What are the most commonly searched types of Azure Data Engineer jobs in Texas? The most popular types of Azure Data Engineer jobs in Texas are:
What are popular job titles related to Part Time Azure Data Engineer jobs in Texas? For Part Time Azure Data Engineer jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Part Time Azure Data Engineer jobs in Texas look for? The top searched job categories for Part Time Azure Data Engineer jobs in Texas are:
What cities in Texas are hiring for Part Time Azure Data Engineer jobs? Cities in Texas with the most Part Time Azure Data Engineer job openings:
Part Time Azure Data Engineer jobs near you
Infographic showing various Part Time Azure Data Engineer job openings in Texas as of July 2026, with employment types broken down into 100% Part Time. Highlights an 79% In-person, and 21% Remote job distribution.
Data Engineer

Data Engineer

T3i, Inc.

San Antonio, TX

$103K - $124K/yr

Full-time, Part-time, Contractor

Re-posted 9 days ago

Job description

Job Summary: The Data Engineer supports T3i's Integrated Analytics effort by designing, developing, and maintaining scalable data infrastructure, automated data pipelines, and enterprise data solutions that enable advanced analytics, machine learning, and operational decision support. Data Engineers serve as the technical foundation of the analytics ecosystem, integrating data from operational, training, medical, personnel, and human performance systems into secure, reliable, and accessible data products. This position requires strong software engineering and coding expertise, with demonstrated experience developing data pipelines, APIs, cloud-based architectures, and automated workflows. The ideal candidate will possess experience working with large, complex datasets and modern data engineering tools within government, defense, or operational environments.
Primary Responsibilities:
  • Design, develop, and maintain scalable ETL/ELT pipelines for ingesting, transforming, and integrating data from multiple source systems
  • Build and support enterprise data architectures including data lakes, data warehouses, and data marts
  • Develop automated workflows using Python, SQL, and modern orchestration tools to improve data quality, accessibility, and reliability
  • Engineer integrations between operational systems, training systems, human performance platforms, and business applications
  • Participate in field and in-garrison data collection efforts and ensure continuous syncing of new data into dashboards
  • Support ad-hoc reporting requests and provide analytic insight into trends, risks, and actionable factors
  • Document dashboard logic, data dictionaries, and usage guidance to ensure transparency and reproducibility
  • Coordinate with Senior Data Engineer and PM to ensure dashboards align with strategic priorities and leadership needs

Minimum Qualifications:
  • Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related discipline
  • 4+ years of experience in data science, analytics, or related roles
  • Proficiency in Python, SQL, and statistical software (e.g., R, SPSS)
  • Demonstrated experience building predictive models and conducting advanced statistical analysis
  • Strong experience with business intelligence tools, particularly Power BI
  • Familiarity with DoD systems of record (e.g., Envision, TTMS, ADSS, MHS GENESIS)
  • Experience supporting AETC, SOF/AFSPECWAR, or equivalent programs

Preferred Qualifications:
  • Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or related discipline
  • Familiarity with Air Education and Training Command (AETC) and/or AFSPECWAR
  • Experience with prominent DoW programs
  • Familiarity with Palantir Envision and/or Foundry platforms
  • Prior military service or direct experience supporting operational units

Clearance Requirements: N/A

Required Background Check: HireRight background check amp; drug screening
Type of Employment: Full-time
T3i Drug Free Workplace Statement: As a Federal Government Contractor, T3i is required to strictly adhere to federally mandated drug-free workplace standards. To ensure compliance with this requirement, T3i conducts pre-employment drug screening for all new hire personnel (full time, part time, and independent contractor) and annual random drug screening for all current T3i personnel. All drug screening includes testing for the following drugs, at a minimum: Marijuana (CBD, hemp oil, and other cannabidiol use may result in a positive result), cocaine, amphetamines, opiates, 6-monoacetylmorphine, and PCP. Personnel who cannot pass drug screening are not eligible for employment with T3i.
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About T3i

Sourced by ZipRecruiter

Industry

Guided missile and space vehicle manufacturing

Company size

51 - 200 Employees

Headquarters location

San Diego, CA, US

Year founded

2014

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