Senior Data Engineer

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

This role is for a Senior Data Engineer at Aivra Health, focused on designing, building, and maintaining scalable data pipelines and supporting data infrastructure. The position is based in Dallas, TX and requires strong experience across SQL, Python, data engineering workflows, and production-grade data systems.

Role Overview

As a Data Engineer, you will work on scalable ETL/ELT pipelines, data ingestion and transformation workflows, and the design and optimization of databases and data warehouses. The role also involves processing and analyzing large datasets while ensuring data quality, reliability, and security. You will integrate data from multiple sources and APIs, monitor pipelines, and collaborate across Data Science, Software Engineering, and Business teams.

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.
• 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.

Required Skills and Experience

• Python
• SQL
• ETL / ELT
• Data Pipelines
• Data Warehousing
• Apache Spark / PySpark
• AWS / Azure / GCP
• Git / GitHub
• Database fundamentals
• Data Modeling
• REST APIs

Technologies

• Python, SQL, ETL/ELT
• Apache Spark, PySpark
• AWS, Azure, GCP
• Git, GitHub
• REST APIs
• Airflow, Databricks, Snowflake
• Kafka
• AWS S3
• Redshift, Glue
• Azure Data Factory, BigQuery
• Docker, Kubernetes
• Terraform, CI/CD
• dbt
• NoSQL, MongoDB

Education

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

Candidate Criteria

• Freshers and candidates with 1–3 years of experience.
• Currently living in the USA.
• Relevant data/technology experience through internships, projects, or professional work.
• Valid US work authorization, where required.
• Open to work / actively seeking opportunities.

Compensation and Employment Details

• Salary: USD 150,000 to 200,000 per year (yearly).
• Job type: Full-Time.
• Work arrangement: On-site (in person).
• Location: Dallas, TX, USA.

Benefits

• Relocation assistance.