Senior Data Engineer — ETL/Data Warehousing | On‑Site Dallas (Relocation)

DataJobs; Dallas (TX); On-site; USD 150,000 - 200,000; Full time

Benefits offered by this job

Relocation assistance

Job summary

Aivra Health in Dallas, TX is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and the supporting data infrastructure in a production environment. You will develop ETL/ELT workflows, ingest data from multiple sources, and optimize databases and data warehouses while ensuring data quality, reliability, and security.

Applicants should have strong Python and SQL skills, experience with Spark, and cloud platforms (AWS/GCP/Azure); on-site work with relocation

Qualifications

• Master's degree in a relevant technical field.
• Freshers or 1–3 years of experience in data engineering.
• Must reside in the USA and have valid US work authorization.
• On-site role in Dallas, TX with relocation assistance.

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.
• Ensure data quality, reliability, and security.
• Integrate data from multiple sources and APIs.
• Monitor and troubleshoot data pipelines.
• Collaborate with Data Scientists, Software Engineers, and Business teams.
• Implement automated data workflows and documentation.

Skills

Python

SQL

ETL / ELT

Data Pipelines

Data Warehousing

Apache Spark / PySpark

AWS / Azure / GCP

Git / GitHub

Data Modeling

REST APIs

Education

Master's degree in Computer Science, Data Engineering, Information Technology, Data Science, or a related technical field

Tools

Airflow

Databricks

Snowflake

Kafka

AWS S3

Redshift

Glue

Azure Data Factory

BigQuery

Docker

Kubernetes

Terraform

CI/CD

dbt

NoSQL

MongoDB

Job description

Aivra Health in Dallas, TX is seeking a Senior Data Engineer to design, build, and maintain scalable data pipelines and the supporting data infrastructure in a production environment. You will develop ETL/ELT workflows, ingest data from multiple sources, and optimize databases and data warehouses while ensuring data quality, reliability, and security.

Applicants should have strong Python and SQL skills, experience with Spark, and cloud platforms (AWS/GCP/Azure); on-site work with relocation