Data Engineer
Everforth Apex
Farmington, United States of America
2 days ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
Intermediate Compensation
$ 125KJob location
Farmington, United States of America
Tech stack
Artificial Intelligence
Airflow
Big Data
Google BigQuery
Cloud Storage
Data as a Services
Directed Acyclic Graph (Directed Graphs)
Data Infrastructure
ETL
Data Security
Data Warehousing
Database Queries
DevOps
Data Flow Control
Query Optimization
Software Engineering
SQL Databases
Google Cloud Platform
Feature Engineering
Spark
Backend
Build Management
Data Lineage
Apache Flink
Kafka
Stream Processing
Data Pipelines
Job description
-
- Contribute to backend software engineering and DevOps tasks related to the data platform.
- Design and build scalable ETL/ELT data pipelines using Apache Airflow, Apache Spark, and Google Cloud Platform Dataflow.
- Develop and maintain data models, schemas, and performance-optimized SQL queries in BigQuery.
- Build and manage data pipelines that feed AI/ML feature stores and forecasting models.
- Collaborate with AI Developers to ensure high-quality, low-latency data access for model training.
- Manage and optimize Cloud Composer Directed Acyclic Graphs (DAGs) and pipeline orchestration.
- Implement data quality monitoring, alerting, and data lineage tracking solutions.
- Participate in data platform architecture discussions and contribute to documentation.
Requirements
- 3+ years of experience for intermediate-level roles.
- 5+ years of experience for specialist-level roles.
Technical Skills:
- Hands-on experience with Apache Airflow for pipeline orchestration.
- Proficiency in Apache Spark for large-scale data processing.
- Strong SQL skills, including complex query optimization and BigQuery-specific capabilities.
- Experience with Google Cloud Platform (Google Cloud Platform) data services such as BigQuery, Cloud Storage, Pub/Sub, and Dataflow.
- A solid understanding of ETL/ELT patterns and data warehousing principles.
Preferred Qualifications
- Google Cloud Platform Professional Data Engineer certification.
- Experience supporting ML/AI data infrastructure, including feature engineering and managing training datasets.
- Familiarity with real-time data streaming technologies like Kafka or Flink.
- Experience with retail or other large-scale consumer data environments.
Work Authorization
Candidates must be eligible for W-2 employment. Sponsorship is not available for this position
Benefits & conditions
Pat from Apex Everforth here. Coming to you with an exclusive project looking for Google Cloud Platform Data Engineer's, three openings. This is a contract to hire position, so sponsorship is not offered now or in the future, there will also be no immigration support upon a full time offer is given. Rate is 50-60/hr. One round interview. As also my AI assistant riley will give you a call if you apply, but if you need some human interaction shoot me an email at
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 ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.
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