More jobs:
Data Engineer
Job in
Tempe, Maricopa County, Arizona, 85285, USA
Listed on 2026-02-28
Listing for:
TEKsystems
Full Time
position Listed on 2026-02-28
Job specializations:
-
Engineering
Data Engineer -
IT/Tech
Data Engineer
Job Description & How to Apply Below
life insurance, sick time, 401(k), retirement plan
United States, Arizona, Tempe
Feb 24, 2026
Description- Lead the design, architecture, and implementation of highly complex and scalable data pipelines and ETL processes using dbt-core and Apache Airflow, demonstrating deep expertise in these tools.
- Serve as a technical lead and subject matter expert in multiple areas of data engineering, including data modeling, performance optimization, and cloud infrastructure (AWS, GCP).
- Contribute as a key developer in extending new platform capabilities while ensuring the stability and maintainability of existing codebases.
- Exercise significant control over major data engineering projects, taking direct responsibility for their success and outcomes.
- May lead working teams, providing technical direction, guidance, and mentorship to both senior and junior data engineers.
- Design, define, and hone new processes, best practices, and technical standards for the data engineering team and other Action Lab members.
- Troubleshoot and resolve the most challenging data-related issues, developing innovative solutions and strategies.
- Drive significant influence on stakeholders across EdPlus and Action Lab, effectively communicating complex technical concepts and project strategies to both technical and non‑technical audiences.
- Affect Action Lab members outside of the immediate working team by introducing new technologies, processes, and knowledge sharing initiatives.
- Develop and implement advanced strategies for data quality, governance, and security, ensuring the reliability and integrity of data across all platforms (AWS Redshift, S3, GCP Big Query, GCS).
- Evaluate and recommend new technologies and tools to improve the efficiency, scalability, and capabilities of the data infrastructure.
- Serve as a mentorship figure for the working team as a whole, fostering a culture of technical excellence and continuous learning.
- Leverage deep expertise in data visualization tools like Tableau or Looker (nice to have) to guide the creation of impactful dashboards and reports.
Sql, Etl, Data, dbt, AWS
Top Skills DetailsSql,Etl,Data
AdditionalSkills & Qualifications
- Extensive experience (8+ years) in designing, developing, and optimizing complex data pipelines and ETL processes in a production environment.
- Demonstrated deep expertise in dbt-core and Apache Airflow, including advanced features and best practices.
- Exceptional proficiency in SQL and extensive experience working with large‑scale relational databases (AWS Redshift) and cloud data lakes/warehouses (S3, GCP Big Query, GCS).
- Strong command of multiple programming languages commonly used in data engineering (e.g., Python, Scala, Java) and experience with developing robust and efficient code.
- In‑depth knowledge of data modeling techniques, schema design, and database performance tuning.
- Comprehensive understanding of cloud computing concepts and services (AWS, GCP), including architecture design, cost management, security, and compliance.
- Proven experience with data quality frameworks, data governance principles, and implementing automated monitoring and alerting systems.
- Advanced knowledge of data visualization concepts and extensive experience with tools like Tableau or Looker (nice to have), including the ability to design and implement complex dashboards and reports.
- Experience with containerization, orchestration (Docker, Kubernetes), and CI/CD pipelines.
- Familiarity with big data technologies (e.g., Spark, Hadoop) may be beneficial.
- Extensive experience in leading major data engineering projects from inception to completion, demonstrating significant control and responsibility for project outcomes.
- Proven ability to lead working teams and mentor senior and junior data engineers.
- Demonstrated experience in designing and defining new processes, best practices, and technical standards for a data engineering team.
- Experience in troubleshooting and resolving the most complex data‑related issues in a production environment.
Intermediate Level
Job Type & LocationThis is a Contract position based out of Tempe, AZ.
Pay and BenefitsThe pay range for this position is $50.00 - $55.50/hr.
Eli…
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