Data Engineer

Everforth Apex

Bellevue, WA, United States

3 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience level

Expert

Experience required

3 years minimum

Compensation

$156,000.0 - $176,800.0

Working hours

Regular working hours

Job source

dice.com

Tech stack

Agile Methodology Airflow Amazon Web Services Amazon S3 Data Analysis Big Data Cloud Database Information Engineering Data Files Data Infrastructure Extract Transform Load (ETL) Data Transformation

+17 more

Dataspaces Data Systems Software Debugging Distributed Systems Apache Hadoop Identity and Access Management Python (Programming Language) Standard Sql SQL Databases Workflow Management Systems AWS Cdk Apache Spark Electronic Medical Records Information Technology Functional Programming Cloudwatch Data Pipelines

Job description

We are seeking a Data Engineer to support ongoing data infrastructure and pipeline development within a high-impact engineering program. This role will focus on building and optimizing scalable ETL pipelines, supporting cloud-based data architecture, and enabling analytics and reporting across cross-functional teams.

This position is critical to maintaining and enhancing existing data systems, while also supporting new development efforts and knowledge transfer from the current resource., * Design, build, and maintain scalable data pipelines and ETL processes across multiple data sources

Develop and optimize data workflows using Python and SQL
Work within a cloud-first environment leveraging AWS services (S3, Glue, Redshift, Lambda, CloudWatch, IAM)
Support infrastructure provisioning and automation using AWS CDK (Infrastructure as Code)
Troubleshoot and resolve issues across existing data pipelines, warehousing, and transformation layers
Partner with business stakeholders, BI teams, and engineers to define and deliver data requirements
Build reliable, maintainable, and extensible data solutions aligned with long-term architecture goals
Improve performance, scalability, and efficiency of data systems and processes
Document processes and support knowledge transfer during transition

Requirements

3-7+ years of experience in Data Engineering (level flexible based on candidate)
Strong experience with:
SQL (advanced proficiency)
Python (or similar language)
ETL pipeline development and data modeling
Hands-on experience with AWS data ecosystem (S3, Glue, Redshift, Lambda, etc.)
Experience working with large, complex data sets and distributed systems
Strong problem-solving and debugging capabilities
Ability to communicate effectively with both technical and non-technical stakeholders, * Experience with:
AWS CDK / Infrastructure as Code (strong plus for this role)
Workflow orchestration tools (Airflow, Step Functions, etc.)
Big data technologies (Spark, EMR, Hadoop)
Experience supporting data transformation and analytics environments
Familiarity with Agile development methodologies, * Strong AWS-focused data engineering background
Comfortable owning pipelines end-to-end (build + troubleshoot)
Able to ramp quickly and support knowledge transition
Strong communicator with ability to collaborate across teams

About the company

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRated’s Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico. Everforth Apex uses a virtual recruiter as part of the application process. Click for more details.