Data Engineer

Horizontal Talent

Dallas, TX, United States

1 day ago

Apply on www.jofdav.com

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Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$135,200.0 - $145,600.0

Working hours

Regular working hours

Job source

www.jofdav.com

Tech stack

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

+9 more

Graph Database Identity and Access Management Python (Programming Language) System Availability Electronic Medical Records AWS Glue Data Pipelines Security Orchestration, Automation & Response Amazon Redshift

Job 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

Requirements

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