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
In this onsite Senior Data Engineer role at Aivra Health in Dallas, TX (USA), you will design, build, and maintain scalable data pipelines and the supporting data infrastructure. The position focuses on reliable data processing, transformation workflows, and integrations across multiple systems.
Key Responsibilities
- Build and maintain scalable ETL/ELT pipelines.
- Develop data ingestion and transformation workflows.
- Design and optimize databases and data warehouses.
- Process and analyze large datasets.
- Support data quality, reliability, and security.
- Integrate data from multiple sources and APIs.
- Monitor and troubleshoot data pipelines to maintain operational stability.
- Collaborate with Data Scientists, Software Engineers, and Business teams.
- Implement automated data workflows and maintain relevant documentation.
Required Skills and Qualifications
- Python and SQL.
- Experience with ETL/ELT, data pipelines, and data warehousing.
- Practical knowledge of Apache Spark and PySpark.
- Cloud experience with AWS, Azure, or GCP.
- Working familiarity with Git and GitHub.
- Database fundamentals, including data modeling.
- Experience working with REST APIs.
Technologies
Experience with relevant tools and platforms including Airflow, Databricks, Snowflake, Kafka, AWS S3, Redshift, Glue, Azure Data Factory, BigQuery, Docker, Kubernetes, Terraform, CI/CD, dbt, and NoSQL (including MongoDB) is applicable to the role.
Compensation and Work Arrangement
- Salary: USD 150,000 - 200,000 per year
- Job type: Full-Time
- Work arrangement: On-site
- Work location: In person
Education
Master’s degree in Computer Science, Data Engineering, Information Technology, Data Science, or a related technical field.
Experience Level
- Minimum experience listed: 1 years
- Experience range: Freshers to 3+ years
Candidate Criteria
- Open to freshers and candidates with 1–3 years of experience.
- Currently living in the USA.
- Relevant data or technology experience through internships, projects, or professional work.
- Valid US work authorization, where required.
- Open to Work / actively seeking opportunities.
Benefits
- Relocation assistance
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