Allata, LLC logo
Allata, LLC

Allata is a global consulting and technology services firm with offices in the US, India, and Argentina. We help organizations accelerate growth, drive innovation, and solve complex challenges by combining strategy, design, and advanced technology. Our expertise covers defining business vision, optimizing processes, and creating engaging digital experiences. We architect and modernize secure, scalable solutions using cloud platforms and top engineering practices. Allata also empowers clients to unlock data value through analytics and visualization and leverages artificial intelligence to automate processes and enhance decision-making. Our agile, cross-functional teams work closely with clients, either integrating with their teams or providing independent guidance—to deliver measurable results and build lasting partnerships.

Data Engineer, Databricks, Python, Azure

Location

Texas

Posted

88 days ago

Salary

0

Seniority

Senior

Job Description

Data Engineer, Databricks, Python, Azure

Allata, LLC

• Design, develop, and maintain scalable data pipelines using Databricks (PySpark) and Python. • Build and optimize ETL/ELT processes within Azure cloud environments. • Implement data models following modern Data Lakehouse principles (e.g., Medallion architecture). • Ensure data quality, consistency, and performance across ingestion, staging, and curated layers. • Collaborate with data architects, analysts, and business stakeholders to translate healthcare data requirements into technical solutions. • Develop reusable data transformation logic and modular processing components. • Support deployment processes following CI/CD and DevOps best practices. • Monitor and optimize data workflows for performance, scalability, and reliability. • Contribute to data governance, security, and compliance practices relevant to healthcare environments.

Job Requirements

  • Current knowledge of an using modern data tools like (Databricks, FiveTran, Data Fabric and others); Core experience with data architecture, data integrations, data warehousing, and ETL/ELT processes
  • Applied experience with developing and deploying custom whl and or in session notebook scripts for custom execution across parallel executor and worker nodes
  • Applied experience in SQL, Stored Procedures, and Pyspark based on area of data platform specialization.
  • Strong knowledge of cloud and hybrid relational database systems, such as MS SQL Server, PostgresSQL, Oracle, Azure SQL, AWS RDS, Aurora or a comparable engine.
  • Strong experience with batch and streaming data processing techniques and file compactization strategies.
  • Strong analytical and problem-solving skills.
  • Ability to work effectively in cross-functional and distributed teams.
  • Clear communication skills, with the ability to explain technical concepts to non-technical stakeholders.
  • Proactive mindset with a strong sense of ownership.
  • Commitment to delivering high-quality, reliable data solutions.

Benefits

  • Allata is an equal opportunity employer
  • We celebrate diversity and are committed to creating an inclusive environment for all employees

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