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Live In Data Modeling Jobs in Texas (NOW HIRING)

Pyramid IT

Data Modeler

Irving, TX · On-site

$52.50 - $68.25/hr

Must be proficient with the prevalent Data Architecture/Design principles in this field and have the ability to clearly understand logical and physical data modeling techniques and optimize them for ...

eTeam

Data Platforms Engineer

Austin, TX · On-site

Data Platforms Engineer SQL and Python, expertise in data modeling, Big Data technologies (Spark, Kafka), Knowledge of PySpark would be excellent Basic modeling (Regression, Decision Tree, Clustering ...

Lennar

Lead Data Engineer

Irving, TX · Remote

$98K - $129K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... Experience in data modeling, cloud data lake, cloud data warehouse * Instrument data analytics ...

Lennar Homes

Lead Data Engineer

Irving, TX · Remote

$94K - $124K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... Experience in data modeling, cloud data lake, cloud data warehouse Instrument data analytics ...

Lennar

Lead Data Engineer

Irving, TX · On-site

$98K - $129K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... Experience in data modeling, cloud data lake, cloud data warehouse * Instrument data analytics ...

Lennar Homes

Lead Data Engineer

Irving, TX · Remote

$94K - $124K/yr

... we work and live in, and fostering a culture of opportunity and growth for our Associates ... Experience in data modeling, cloud data lake, cloud data warehouse Instrument data analytics ...

trane technologies

Senior Data Modeler

Tyler, TX

Support data engineers in the implementation of physical data structures. Tool Utilization & Modeling Platform Expertise * Use leading data modeling tools to manage data models and metadata.

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Live In Data Modeling information

What is the difference between Live In Data Modeling vs Data Analyst?

AspectLive In Data ModelingData Analyst
Required CredentialsBachelor's in Data Science, Computer Science, or related field; certifications like CDMPBachelor's in Statistics, Data Science, or related; certifications like CAP or Microsoft Data Analyst
Work EnvironmentCollaborative, often on-site, working closely with data teams and stakeholdersOffice or remote, analyzing data sets, creating reports, and visualizations
Industry UsageUsed in industries requiring detailed data modeling for live systems, such as finance or techCommon across various industries for interpreting data and supporting decision-making
Search & Comparison IntentPeople comparing roles involving live data modeling tasks with data analysis

Live In Data Modeling focuses on designing and maintaining data structures for live systems, requiring technical modeling skills. Data Analysts interpret data through reports and visualizations. While related, Live In Data Modeling emphasizes data architecture, whereas Data Analysts focus on data interpretation and insights.

What cities in Texas are hiring for Live In Data Modeling jobs? Cities in Texas with the most Live In Data Modeling job openings:
Live In Data Modeling jobs near you

Data Engineer (IC3) (Strong SQL)

Futran Tech Solutions Pvt. Ltd.

Dallas, TX • On-site

$105K - $126K/yr

Full-time

Posted 7 days ago

Job description

Client - Sofi
Role - Data Engineer (IC3) (Strong SQL)
Rate - 85 C2C
Team:
We are seeking an experienced and motivated Senior Data Engineer to drive high standard technical solutions for the Data Products team within the SIPS (Spend, Invest, Protect, Save) division - supporting all SoFi Financial Services. The mission of the SIPS Data Engineering team is to support Data Engineering and reporting for SoFi's Financial Services products. As a technical leader you will lead the vision and strategy to build foundational and critical data models which are highly leveraged across SoFi for analytical, reporting, and machine learning use-cases. Our goal is to empower consumers to make data driven decisions and effectively measure their results by providing high quality, high availability data, and democratized data.
Role:
A talented, enthusiastic, detail-oriented, and experienced DataEngineer who knows how to take on big data challenges in an agile way. This includes big data design and analysis, data modeling, and development, deployment, and operations of big data pipelines. Leads development of some of the most critical data pipelines and data sets, and expands self-service data knowledge and capabilities. This role requires you to live at the cross section of data and engineering. You should have a deep understanding of data, analytical techniques, and how to connect insights to the business, and you have practical experience in insisting on the highest standards on operations in ETL and big data pipelines.
What you'll do:
  • Design and develop robust data models and pipelines to support data ingestion, processing, storage, and retrieval. Evaluate and select appropriate technologies, frameworks, and tools to build scalable and reliable data infrastructure.
  • Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically.
  • Collaborate with cross-functional teams, such as datascientists, software engineers, and business stakeholders, to understand data requirements and deliver solutions that meet business needs. Effectively communicate complex technical concepts to non-technical stakeholders.
  • Optimize data engineering systems and processes to handle large-scale data sets efficiently. Design solutions that can scale horizontally and vertically,
  • Enforce data governance policies and practices to maintain dataintegrity, security, and compliance with relevant regulations. Collaborate with data governance and security teams to implement robust data protection mechanisms and access controls.

What you'll need:
  • A bachelor's degree in Computer Science, Data Science, Engineering, or a related field;
  • 5+ years of experience in data engineering and analytics technical strategy.
  • Proficiency in data engineering tech stack; Snowflake / PostgreSQL / Python / SQL / GitLab / AWS / Airflow/ DBT and others..
  • Proficiency in relational database platforms and cloud database platforms such as Snowflake, Redshift, or GCP
  • Strong in Python and/or another data centric language.
  • Thorough knowledge of data modeling, database design, dataarchitecture principles, and data operations.
  • Strong analytical and problem-solving abilities, with the capability to simplify complex issues into actionable plans.
  • Experience in the Fintech industry is advantageous.

Apply