Sr. Data Engineer

Elevate; Plano (TX); On-site; USD 90,000 - 100,000; Full time

Job summary

Elevate is hiring a contract Sr. Data Engineer for an on-site role in Plano, TX, supporting enterprise data systems and large-scale architecture.

You will build and optimize scalable data pipelines, design robust data models, and ensure data availability and quality across teams. Collaborate with product, analytics, and engineering groups to implement cloud-native solutions on AWS, Azure, or GCP, integrate structured and unstructured data, and apply CI/CD and data governance practices for

Qualifications

• Proficiency in SQL and Python for data manipulation.
• Experience with cloud data platforms including AWS Redshift and Azure Synapse.
• Hands-on ETL skills and data modeling for data warehouse design.
• Familiarity with data governance, version control, and CI/CD for data pipelines.
• Solid understanding of Git, Agile practices, and Jira.

Responsibilities

• Build and optimize scalable data pipelines and ETL workflows.
• Design reliable data models and integrate structured and unstructured data.
• Collaborate with product, analytics, and engineering teams to maintain data availability and quality.
• Use cloud platforms such as AWS, Azure, or GCP to support large-scale data architecture.
• Monitor pipeline performance and troubleshoot data integrity issues.

Skills

SQL

Python

Data governance

Version control

CI/CD

Agile practices

Git

Jira

Tools

AWS

Azure

GCP

AWS Redshift

Azure Synapse

ETL tools

data modeling

data warehouse design

Kafka

Kinesis

Spark

Hadoop

Git

Job description

Elevate is hiring a contract Sr. Data Engineer for an on-site role in Plano, TX, supporting enterprise data systems and large-scale architecture.

Responsibilities

• Build and optimize scalable data pipelines and ETL workflows
• Design reliable data models and integrate structured and unstructured data
• Work with product, analytics, and engineering teams to maintain data availability and data quality
• Use cloud platforms such as AWS, Azure, or GCP to support large-scale data architecture
• Monitor pipeline performance and troubleshoot data integrity issues

Requirements

• Proficiency in SQL and Python for data manipulation
• Strong experience with cloud data platforms including AWS Redshift and Azure Synapse
• Hands-on experience with ETL tools, data modeling, and data warehouse design
• Familiarity with data governance, version control, and CI/CD for data engineering workflows
• Solid understanding of Git, Agile practices, and Jira

Preferred Qualifications

• Experience with big data tools such as Spark and Hadoop
• Familiarity with APIs and real-time data streaming using Kafka and Kinesis
• Prior experience on enterprise-level projects or large system integrations

Tech Stack

• SQL, Python
• AWS, Azure, GCP
• AWS Redshift, Azure Synapse
• ETL, Git, CI/CD
• Kafka, Kinesis, Spark, Hadoop
• Jira

Location: Plano, TX (onsite)

Compensation: USD 90,000 - 100,000 per year

Job Type: contract (contract-to-hire)