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# Data Engineer

- **Company:** Horizontal Talent
- **Location:** Dallas, TX, United States
- **Experience:** Expert
- **Salary:** $135,200.0 - $145,600.0
- **Contract:** Permanent contract
- **Skills:** Amazon S3, Business Analytics Applications, Data Analysis, Big Data, Cloud Computing, Databases, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Relational Databases, Database Queries, Distributed Data Store, Graph Database, Identity and Access Management, Python (Programming Language), System Availability, Electronic Medical Records, AWS Glue, Data Pipelines, Security Orchestration, Automation & Response, Amazon Redshift
- **Published:** September 4, 2026
- **Apply:** https://www.jofdav.com/jobs/59545274-data-engineer

## About the Role

* 3+ years of experience in data engineering
 * 3+ years of experience with data modeling, data warehousing, and ETL pipeline development
 * 3+ years of experience building and supporting large-scale data structures for analytics and business intelligence
 * Strong SQL skills with the ability to query, transform, and analyze complex data
 * Strong Python skills, or equivalent, for automation, orchestration, data quality, and pipeline tooling
 * Experience working in large-scale data warehouse environments
 * Ability to collaborate effectively with business partners and communicate technical concepts clearly

Preferred Skills

 * Experience with AWS services such as Redshift, S3, AWS Glue, EMR, Kinesis, Firehose, Lambda, and IAM
 * Familiarity with non-relational data stores such as object storage, document stores, key-value stores, graph databases, or column-family databases
 * Experience building reports and dashboards
 * Exposure to metadata modeling and analytics platforms
 * A proactive mindset with strong attention to detail and problem-solving skills

## Description

Join a fast-paced cloud and data team as a Data Engineer supporting analytics, reporting, and automation in a large-scale data warehouse environment. This role offers the opportunity to design scalable data solutions that help business teams access timely, structured, and reliable information for decision-making.
Responsibilities

 * Design, build, and maintain scalable data solutions that support analytics and reporting at enterprise scale
 * Develop and support data pipelines, data models, and warehouse structures to meet business intelligence needs
 * Create reporting and dashboard solutions using internal reporting tools and Quick Suite
 * Partner with business stakeholders to gather requirements and translate them into dependable technical solutions
 * Improve access to structured data for field and operational teams
 * Apply best practices for data quality, system performance, and operational reliability
 * Work with cloud-based and distributed data technologies to improve data availability and usability


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