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Freelance Data Analytics Engineer Jobs in Texas (NOW HIRING)

Data Analytics Engineer

Crystal City, TX · On-site

$99K - $119K/yr

Data Analytics Engineer ID: 1000000059 Location: Crystal City, VA Clearance Level: Obtain Public Trust Level 6 Shift: Standard Day Shift (M-F) Travel Requirements: None More about this job ...

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Data & Analytics Engineer, AiDP

Austin, TX · On-site

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

Data & Analytics Engineer, AiDP

Austin, TX

$113K - $136K/yr

We are looking for a Data & Analytics Engineer to help design, build, and scale the data foundation that powers this platform. In this role, you will develop robust data pipelines and analytics ...

The Infrastructure Data Analytics Engineer is responsible for acquiring, transforming, integrating, and analyzing data from infrastructure, platform, cloud, and enterprise technology systems. This ...

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

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 ...

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation (ZEC) is looking for a detail-oriented Engineering Data Analytics Specialist to support engineering ...

Engineering Data Analytics Specialist Location: Houston - Briarpark Zachry Engineering Corporation (ZEC) is looking for a detail-oriented Engineering Data Analytics Specialist to support engineering ...

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Showing results 1-20

Freelance Data Analytics Engineer information

What is the difference between Freelance Data Analytics Engineer vs Data Scientist?

AspectFreelance Data Analytics EngineerData Scientist
CredentialsOften requires a degree in data analysis, statistics, or related fields; certifications like Google Data Analytics or Microsoft Certified Data Analyst are commonTypically holds a degree in computer science, statistics, or related fields; certifications like Certified Data Scientist or SAS Certified Data Scientist are common
Work EnvironmentFreelance, project-based, remote or on-site depending on client needsUsually employed full-time in organizations or research settings; some freelance roles exist but are less common
Industry UsageUsed across various industries including finance, marketing, healthcare, and e-commercePrimarily in tech, finance, healthcare, and research sectors

While both roles analyze data to extract insights, Freelance Data Analytics Engineers focus on building and maintaining data pipelines and dashboards on a project basis, whereas Data Scientists develop predictive models and advanced algorithms, often requiring deeper statistical expertise.

What are the most commonly searched types of Data Analytics Engineer jobs in Texas?

The most popular types of Data Analytics Engineer jobs in Texas are:

What are popular job titles related to Freelance Data Analytics Engineer jobs in Texas?

For Freelance Data Analytics Engineer jobs in Texas, the most frequently searched job titles are:

What job categories do people searching Freelance Data Analytics Engineer jobs in Texas look for?

The top searched job categories for Freelance Data Analytics Engineer jobs in Texas are:

What cities in Texas are hiring for Freelance Data Analytics Engineer jobs?

Cities in Texas with the most Freelance Data Analytics Engineer job openings:

Infographic showing various Freelance Data Analytics Engineer job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

$65 - $75/hr

Other

Posted 2 days ago

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Job description

Data Analytics Engineer

Job Title: Data Analytics Engineer
Location: Dallas, TX, USA
Job Type: Contract
Work Mode: Hybrid
Start Date: 2026-09-01
End Date: 2027-08-31
Duration: 12 Months, with possible extension
Experience: 5–8 Years
Pay Rate: $65–$75/hour, depending on experience
Tax Terms: W-2 / C2C / 1099

Job Summary

We are seeking an experienced Data Analytics Engineer to design, develop, and maintain scalable data solutions that support business intelligence, reporting, and advanced analytics. The ideal candidate will have strong experience in data engineering, SQL, cloud data platforms, data modeling, ETL/ELT pipelines, and analytics tools.

Responsibilities
  • Design and develop scalable ETL/ELT pipelines for analytics and reporting.

  • Extract, transform, and integrate data from multiple sources.

  • Develop complex SQL queries, stored procedures, and data transformations.

  • Design and maintain data warehouses, data lakes, and analytical data models.

  • Build and optimize data pipelines using Python, SQL, or similar technologies.

  • Work with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Develop dashboards, reports, and analytical datasets for business stakeholders.

  • Work with Power BI, Tableau, or similar business intelligence tools.

  • Perform data validation, cleansing, quality checks, and reconciliation.

  • Optimize queries and data pipelines for performance and scalability.

  • Collaborate with data scientists, business analysts, developers, and stakeholders.

  • Implement data governance, security, and access-control practices.

  • Monitor data pipelines and troubleshoot data quality or processing issues.

  • Support real-time and batch data processing requirements.

  • Maintain technical documentation for data models, pipelines, and processes.

  • Participate in Agile/Scrum ceremonies and cross-functional team activities.

Required Technical Skills
  • 5+ years of experience in Data Analytics, Data Engineering, or a related field.

  • Strong hands-on experience with SQL and relational databases.

  • Strong experience with Python for data processing and automation.

  • Experience developing ETL/ELT pipelines.

  • Experience with data warehousing and dimensional data modeling.

  • Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.

  • Experience with Snowflake, Databricks, BigQuery, Redshift, or Azure Synapse.

  • Experience with Power BI, Tableau, or similar BI tools.

  • Strong understanding of data quality and data governance.

  • Experience with Git and version-control systems.

  • Knowledge of data integration and API-based data sources.

  • Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Analytics, or a related field.

  • Experience with Apache Spark or other distributed data processing technologies.

  • Experience with Apache Airflow or similar workflow orchestration tools.

  • Experience with Kafka or real-time data processing.

  • Experience with cloud-based data lakes and lakehouse architectures.

  • Knowledge of CI/CD and automated data deployment processes.

  • Experience with advanced analytics and machine-learning data preparation.

  • Experience working in enterprise-scale data environments.

  • AWS, Azure, Google Cloud Platform, Snowflake, or Databricks certification is preferred.

  • Strong communication and stakeholder-management skills.

Contract Details

Start Date: 2026-09-01
End Date: 2027-08-31
Initial Duration: 12 Months
Extension: Possible based on project requirements and performance
Hours: Full-Time, approximately 40 hours/week
Work Arrangement: Hybrid
Location: Dallas, Texas, USA

Tax / Employment Terms

Available employment options include W-2, C2C, and 1099, subject to client requirements, candidate eligibility, and applicable U.S. laws.

Work Authorization

Candidates must have valid authorization to work in the United States. Specific work-authorization requirements may vary based on the client and tax/employment type.