Solicitation Reference Number: 2027C0127 Title/Level: Data Scientist (Big Data Engineer) 2 Category: Data/Database Administration Remote- 9 + months MOI: MS Teams Direct Client: State of TX
I. DESCRIPTION OF SERVICES
Texas Department of Family and Protective Services requires the services of Data Scientist (Big Data Engineer) 2, hereafter referred to as Candidate(s), who meets the general qualifications of Data Scientist (Big Data Engineer) 2, Data/Database Administration and the specifications outlined in this document for the Texas Department of Family and Protective Services.
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
II. 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
