Data Scientist (Big Data Engineer) 3

Overview

Remote
On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 08 Month(s)
No Travel Required
Unable to Provide Sponsorship

Skills

ETL/ELT
CI/CD tools
data scientists
Azure Data Lake Storage
data warehouses
Azure cloud platform
Databricks
Delta Lake
Databricks Certified Associate Developer

Job Details

Solicitation Reference Number: 2026C0014
DIrect Client: Texas Department of Family and Protective Services
Working Title: Data Scientist (Big Data Engineer) 3
Work Location: Austin, Tx - Telework 
 
JD:
 
 The Worker is responsible for developing, maintaining, and optimizing big data solutions using the Databricks Unified Analytics Platform.

This role supports data engineering, machine learning, and analytics initiatives within this organization that relies on large-scale data processing.

Duties include:

  • Designing and developing scalable data pipelines
  • Implementing ETL/ELT workflows
  • Optimizing Spark jobs
  • Integrating with Azure Data Factory
  • Automating deployments
  • Collaborating with cross-functional teams
  • Ensuring data quality, governance, and security.
 

  CANDIDATE SKILLS AND QUALIFICATIONS

 

Minimum Requirements:
Candidates that do not meet or exceed the minimum stated requirements (skills/experience) will be displayed to customers but may not be chosen for this opportunity.

Years

Required/Preferred

Experience

4

Required

Implement ETL/ELT workflows for both structured and unstructured data

4

Required

Automate deployments using CI/CD tools

4

Required

Collaborate with cross-functional teams including data scientists, analysts, and stakeholders

4

Required

Design and maintain data models, schemas, and database structures to support analytical and operational use cases

4

Required

Evaluate and implement appropriate data storage solutions, including data lakes (Azure Data Lake Storage) and data warehouses

4

Required

Implement data validation and quality checks to ensure accuracy and consistency

4

Required

Contribute to data governance initiatives, including metadata management, data lineage, and data cataloging

4

Required

Implement data security measures, including encryption, access controls, and auditing; ensure compliance with regulations and best practices

4

Required

Proficiency in Python and R programming languages

4

Required

Strong SQL querying and data manipulation skills

4

Required

Experience with Azure cloud platform

4

Required

Experience with DevOps, CI/CD pipelines, and version control systems

4

Required

Working in agile, multicultural environments

4

Required

Strong troubleshooting and debugging capabilities

3

Required

Design and develop scalable data pipelines using Apache Spark on Databricks

3

Required

Optimize Spark jobs for performance and cost-efficiency

3

Required

Integrate Databricks solutions with cloud services (Azure Data Factory)

3

Required

Ensure data quality, governance, and security using Unity Catalog or Delta Lake

3

Required

Deep understanding of Apache Spark architecture, RDDs, DataFrames, and Spark SQL

3

Required

Hands-on experience with Databricks notebooks, clusters, jobs, and Delta Lake

1

Preferred

Knowledge of ML libraries (MLflow, Scikit-learn, TensorFlow)

1

Preferred

Databricks Certified Associate Developer for Apache Spark

1

Preferred

Azure Data Engineer Associate

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.