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Data Dimensions Jobs in Texas (NOW HIRING)

Sarian, Inc.

Sr. Data Engineer

Austin, TX · On-site

$113K - $136K/yr

Hands-on experience with ETL and Dimensional Data Modelling - Slowly Changing Dimensions (SCD - Type 1, 2, 3). * Proficiency in Python scripting/programming - using Pandas, PyParsing, Airflow.

Peyton Resource Group

Data Modeler

Dallas, TX

$54.25 - $70.25/hr

Experience with data modeling best practices: normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and data vault (a plus). Familiarity with version control (e.g., Git ...

Apple Inc.

AIML Data Engineer

Austin, TX · On-site

$120 - $160/hr

... quality dimensions, providing real-time signal to leadership on how our AI-powered support is ... We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetry ...

New

Genius Road, LLC

Data Modeler

Dallas, TX · On-site

$54.50 - $70.50/hr

Experience with data modeling best practices, including normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and Data Vault (preferred) * Experience using version control ...

Apple

AIML Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... quality dimensions, providing real-time signal to leadership on how our AI-powered support is ... We are seeking an AIML Data Engineer to own the data pipelines, feature engineering, and telemetry ...

Genius Road

Data Modeler #3339

Dallas, TX · Hybrid

$54.25 - $70.25/hr

Experience with data modeling best practices, including normalization, denormalization, surrogate keys, slowly changing dimensions (SCD), and Data Vault (preferred) * Experience using version control ...

Four Hands

Art Product Data Coordinator

Austin, TX · On-site

The Product Data Coordinator is the entry point for product data work in the Art Studio. This role ... Build and maintain internal product specification sheets, capturing dimensions, materials, finishes ...

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Data Dimensions information

What are data dimensions?

Data dimensions are attributes or perspectives by which data can be categorized, organized, and analyzed. In the context of data management and analytics, dimensions such as time, geography, product, or customer allow users to slice and dice data for deeper insights. For example, a sales dataset might have dimensions like region and sales period, enabling users to analyze performance by different locations or times. Understanding data dimensions is essential for building effective reports, dashboards, and business intelligence solutions. They help transform raw data into meaningful information for decision-making.

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

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a background in mathematics or computer science. Familiarity with data analysis tools like SQL, Excel, Python, R, and data visualization platforms such as Tableau is typically required. Excellent problem-solving, attention to detail, and effective communication skills set top performers apart in this role. These skills are essential for extracting meaningful insights from data, supporting business decisions, and clearly conveying findings to stakeholders.

What are some common challenges faced by professionals working in data dimensions roles, and how can they overcome them?

Professionals in data dimensions roles often encounter challenges related to ensuring data quality, consistency, and proper integration across multiple data sources. Managing large volumes of data and maintaining accurate dimensional hierarchies can be complex, especially in organizations with rapidly evolving datasets. To overcome these challenges, it's important to establish clear data governance practices, collaborate closely with data engineers and business analysts, and leverage robust data management tools. Continuous learning and staying updated on best practices in data modeling and warehousing also contribute to long-term success in this field.

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

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

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

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

What cities in Texas are hiring for Data Dimensions jobs?

Cities in Texas with the most Data Dimensions job openings:

Data Dimensions jobs near you
Infographic showing various Data Dimensions job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Data Engineer

Sarian, Inc.

Austin, TX • On-site

$113K - $136K/yr

Full-time

Re-posted 3 days ago

Job description

Role: Sr. Snowflake Data Engineer
Location: Austin, TX - Fulltime Position
Minimum Qualifications:
  • Expert level fluency with Snowflake, SQL, Tableau, and Python is required.
  • Experience with data modeling in Snowflake, performance tuning the queries and optimization.
  • Computational analysis using Snowflake, MySQL, Python, Tableau and Business Objects.
  • Experience with building Cloud Native applications using AWS.

Preferred Qualifications:
  • Hands-on experience with ETL and Dimensional Data Modelling - Slowly Changing Dimensions (SCD - Type 1, 2, 3).
  • Proficiency in Python scripting/programming - using Pandas, PyParsing, Airflow.
  • Design, develop, and maintain data pipelines and architectures to support analytical needs.
  • Excellent communication and presentation skills.
  • Hands-on experience with writing Complex queries using - Joins, Self Joins, Views, Materialized Views, Cursor also Recursive, use of GROUP BY, PARTITION BY functions.
  • Proficiency in Pandas, Tableau server modules, Numpy, Datetime, Apache Airflow related modules, APIs.
  • Experience with SnowSQL, Snowpipe.
  • Experience with Snowflake performance optimization techniques.
  • Own project delivery collaborating with Offshore.
  • Ability to bridge the gap between business needs and technical capabilities.
  • Translating complex analytical requirements into actionable data solutions and automation across tools and platforms.
  • Create and maintain reports, create and manage data models, leverage data across complex hierarchies using multiple data sources.
  • Actively participating in discussions with business to understand requirements and provide suitable solutions.

Muralikrishna
Sarian Solutions, Inc.
Ph: +1 732-790-2266 X 201
murali.k@sariansolutions.com | https://www.sarianinc.com/

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