Senior Data Engineer

JOB DIVA INC

Austin, TX, United States

27 days ago

Role details

Contract type

Temporary contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

10 years minimum

Working hours

Regular working hours

Languages

English

Job source

www2.jobdiva.com

Tech stack

Airflow Amazon Web Services Microsoft Azure BigQuery Cloud Computing Information Systems Databases Data Governance Data Infrastructure Extract Transform Load (ETL) Data Systems Data Warehousing

+11 more

Python (Programming Language) Performance Tuning SQL Databases Data Streaming Tableau (Software) Google Cloud Data Build Tool (dbt) Data Lakes Information Technology Software Coding Data Pipelines

Job description

Data Pipeline Development
Design scalable systems and build complex, end-to-end ETL (Extract, Transform, Load) pipelines to move data from various sources to data warehouses.
Data Governance & Security
Enforce strict data quality standards and ensure all system designs meet security compliance requirements.
Leadership & Strategy
Mentor junior engineers, translate complex business requirements into technical solutions.
Performance Optimization
Continuously monitor and troubleshoot data pipelines and databases to improve processing speed, scalability, and cost-efficiency.
Collaboration & Stakeholder Support
Ensure implemented Data Products meet the vision and goals of Data Consumers.
Documentation & Best Practices
Enforce and adhere to best practices for technical documentation related to architecture, transformation logic and coding standards.

Requirements

We are currently seeking a dynamic, motivated, and highly experienced individual for the position of Contractor, Senior Data Engineer that is responsible for the design, development, and optimization of enterprise-scale data infrastructure and pipelines. With deep technical expertise and over a decade of experience, this individual supports the engineering strategy, ensures data platform scalability, and delivers high-quality data solutions. This individual excels in technical execution, ensuring data is accessible, reliable, and secure across the organization., Must have :

10+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
Bachelor’s degree in Computer Science, Information Systems, Engineering, or a related technical field
Languages: Advanced proficiency in SQL and Python
Cloud Platforms: Amazon Web Services (AWS), Google Cloud Platform (GCP), or Microsoft Azure.
Data Warehouses & Frameworks: BigQuery or Redshift.
Orchestration & Streaming: Apache Airflow, dbt (data build tool).
US-based, Eastern/Central Time Zone
Fluent English Speaker, * 15+ years of prior experience as a Data Engineer working directly with Data Warehouses, Data Lakes, ELT/ETL, Data Pipelines
Master’s degree in Computer Science, Information Systems, Engineering, or a related technical field
Experience optimizing Data Pipelines
Prior experience working in the Pharma industry
Experience with BI Tools (e.g. Tableau)