Senior Data Engineer
Senior
Apache Airflow
Application Security
Azure
Big Data
Bigdata
Cloud Data Engineering
Cloud Data Platform
Cloud Data Warehouse
Cloud Data Warehouse
Cloud Infrastructure
Cloud Native
Cloud Operations
Cloud Platform
Cloud Platforms
Cloud Platforms Cloud Platforms
Cloud Technology
Data
Data Analysis
Data Analytics
Data Architecture
Data Engineer
Data Engineering
Data Integration
Data Lakehouse
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Warehouse
Data Warehousing
Database
Databases
Databricks
DevOps
Devops Tools
DevSecOps
Engineering
ETL
Google Cloud
Informatica
Information Technology (IT)
Infrastructure As Code
Platform Engineering
Pyspark
Spark
SQL
Streaming Data
Job Description
Work on reliable health data infrastructure with Aivra Health in Dallas, TX (onsite). This full-time Senior Data Engineer role focuses on designing and maintaining scalable data pipelines and data infrastructure that support data-driven teams. If you enjoy building dependable workflows, improving data quality, and connecting systems across APIs and databases, this position offers a direct path to impact.
Responsibilities
- Build and maintain scalable ETL/ELT pipelines for ingestion, transformation, and delivery of data
- Develop data ingestion and transformation workflows
- Design and optimize databases and data warehouses to support analytics and downstream applications
- Process and analyze large datasets efficiently
- Ensure data quality, reliability, and security across pipeline outputs
- Integrate data from multiple sources and APIs
- Monitor and troubleshoot data pipelines to maintain performance and availability
- Collaborate with Data Scientists, Software Engineers, and Business teams
- Implement automated data workflows and documentation
What You’ll Bring
- Python and SQL
- Hands-on experience with ETL/ELT, data pipelines, and data warehousing
- Experience with Apache Spark / PySpark
- Working knowledge of AWS / Azure / GCP
- Proficiency with Git / GitHub
- Database fundamentals, data modeling, and REST APIs
Technologies You May Work With
- Airflow, Databricks, Snowflake, Kafka
- AWS S3, Redshift, Glue; Azure Data Factory; BigQuery
- Docker, Kubernetes, Terraform
- CI/CD, dbt, NoSQL (MongoDB)
Location, Type, and Compensation
On-site in Dallas, TX, USA. Full-Time role with compensation listed as USD 150,000 - 200,000 per year.
Eligibility
- Education: Master’s degree in Computer Science, Data Engineering, Information Technology, Data Science, or a related technical field
- Experience range: Freshers to 3+ years, with candidate criteria emphasizing 1–3 years experience
- Currently living in the USA
- Valid US work authorization, where required
- Open to work / actively seeking opportunities
Relocation Support
Relocation assistance is available.
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