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Associate Data Science Engineer Jobs in Texas (NOW HIRING)

Associate Data Engineer

Frisco, TX · On-site

$107K - $129K/yr

... Science, Software Engineering, Information Management, or equivalent experience in field plus 1+ ... Data Engineer Associate) or working toward them. • Familiarity with data privacy concepts (GDPR ...

We are seeking an Associate Data Analyst Intern with a passion for analytical problem solving to ... data engineering teams to support end-to-end visibility into how data science outputs influence ...

Syntricate Technologies is seeking a Data Science professional to join their team. The role ... engineering Qualifications : Required : • Experience with GenAI • Experience with Lang Chain ...

We are seeking an Associate Data Analyst with a passion for analytical problem solving to join our ... Collaborate with analytics, data science, and data engineering teams. Data Engineering: Assistwith ...

Architect, Data Science

Arlington, TX · On-site

$155K - $190K/yr

Data Strategy & Advisory, Data Engineering, Analytics & Visualization, Generative AI & ML, and ... As part of our growing Data Science practice, this role offers an exciting opportunity to lead ...

Data Science Architect

Mckinney, TX · On-site

$59 - $76/hr

The Data Science Architect will work closely with data scientists, data engineers, software engineers, cloud architects, and business stakeholders to establish scalable architecture, technical ...

Showing results 21-40

Associate Data Science Engineer information

What cities in Texas are hiring for Associate Data Science Engineer jobs?

Cities in Texas with the most Associate Data Science Engineer job openings:

Associate Data Engineer

Frisco, TX • On-site

$107K - $129K/yr

Full-time

Re-posted 26 days ago


Job description

Job Summary:
UST HealthProof is a mission-driven company that transforms lives through technology. They are seeking an Associate Data Engineer to learn and contribute to the HR Analytics data engineering vertical, focusing on data ingestion, modeling, and visualization using tools like Snowflake and Power BI.
Responsibilities:
• Execute assigned components of solution designs handed off by Senior and Data Engineers, delivering production-grade code under senior engineer guidance.
• Land source data into the team's unified ingestion framework using the patterns specified in the design.
• Implement assigned data models and transformation logic in Snowflake (including Iceberg tables) and Databricks (Delta Lake, Unity Catalog) per the design.
• Apply medallion (bronze, silver, gold) architecture and the team's engineering standards to all work, including naming conventions, documentation, and code review practices.
• Build assigned components of the semantic layer in Microsoft Fabric (Fabric IQ, OneLake) per the design specifications.
• Build assigned Power BI visualizations and reports following the design specifications and the team's BI standards.
• Implement unit tests, data quality checks, and reconciliation for assigned work.
Qualifications:
Required:
• Graduation Year: 2024, 2025 or 2026
• GPA: 3.5
• Experience: 1+ years
• Bachelor's degree in Computer Science, Software Engineering, Information Management, or equivalent experience in field plus 1+ years of related work experience, OR equivalent demonstrated experience through internships, bootcamps, or self-directed project work.
• Must be located in the United States.
• 1+ years of hands-on data engineering or software engineering experience, including internships and academic project work that demonstrate production-quality engineering habits.
• Working proficiency in SQL and Python.
• Exposure to Spark (PySpark or Spark SQL) for distributed data transformation, or strong willingness and demonstrated ability to learn it quickly.
• Exposure to cloud data platforms Databricks, Snowflake, or comparable with a willingness to develop hands-on depth.
• Familiarity with at least one BI tool (Power BI preferred, Tableau or similar acceptable).
• Understanding of fundamental data engineering concepts data modeling, ETL/ELT, data quality, source-to-target mapping.
• Familiarity with Git, code review practices, and basic CI/CD concepts.
• Good communication skills able to ask clarifying questions, communicate progress clearly, and learn from feedback.
• Strong problem-solving instincts, curiosity, and the discipline to deliver well-defined work to a high standard.
• Eagerness to learn the full vertical from ingestion through visualization, and to take on broader ownership over time.
Preferred:
• Hands-on coursework, internship, or project experience with Databricks (Delta Lake) or Snowflake at any scale.
• Hands-on coursework, internship, or project experience with Microsoft Fabric, OneLake, or Power BI.
• Exposure to Iceberg tables or other modern open table formats.
• Exposure to HR data domains talent acquisition, workforce analytics, compensation, learning, performance, or people analytics.
• Familiarity with Workday, ServiceNow HR, or comparable HR systems of record.
• Exposure to streaming technologies (Kafka, Azure Event Hub, Delta Live Tables, or Spark Structured Streaming).
• Exposure to AI/ML pipelines or building data products that support ML workloads.
• Azure certifications (Azure Fundamentals, Data Engineer Associate) or working toward them.
• Familiarity with data privacy concepts (GDPR, CCPA) and HR data handling considerations.
Company:
UST HealthProof offers risk adjustment, quality programs, and healthcare payer technology services. It is a sub-organization of UST. Founded in 1999, the company is headquartered in Aliso Viejo, USA, with a team of 501-1000 employees. The company is currently Late Stage.