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# Data Engineer (AWS, Azure, GCP)

- **Company:** CapTech Ventures, Inc.
- **Location:** Snowflake, AZ, United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Amazon Web Services, Microsoft Azure, BigQuery, C Sharp (Programming Language), C++ (Programming Language), Cloud Computing, Cloud Database, Cloud Engineering, Databases, Data Architecture, Information Engineering, Data Systems, R (Programming Language), Apache Hadoop, Python (Programming Language), PostgreSQL, Microsoft SQL Server, Operational Databases, Oracle (Applications), Standard Sql, SQL Databases, Subversion, Data Processing, Scripting, Google Cloud, Cloud Platform System, Snowflake, Apache Spark, Electronic Medical Records, Git, Kubernetes, Apache Kafka, Presto, Functional Programming, Data Pipelines, Docker, Jenkins, Amazon Redshift, Databricks
- **Published:** August 7, 2026
- **Apply:** https://www.careerjet.com/job/us16dd01a4fbabe9699c9c5834bfbebca7/eaa

## About the Role

Typical experience for successful candidates includes:

 * Experience delivering solutions on a major cloud platform
 * Ability to think strategically and relate architectural decisions/recommendations to business needs and client culture
 * Experience in the design and implementation of data architecture solutions
 * A wide range of production database experience, usually including substantial SQL expertise, database administration, and scripting data pipelines
 * Ability to assess and utilize traditional and modern architectural components required based on business needs.
 * A demonstrable ability to deliver production data pipelines and other data products. This could be hands on experience, degree, certification, bootcamp, or other learning.

Skills:
Successful candidates usually have demonstrable experience with technologies in some of these categories:

 * Languages: SQL, Python, Java, R, C# / C++ / C
 * Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
 * DevOps: git, docker, subversion, Kubernetes, Jenkins
 * Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
 * Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer

## Description

CapTech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources in order to enable decision-makers. We build pipelines and prepare data for use by data scientists, data analysts, and other data systems. We love solving problems and providing creative solutions for our clients. Cloud Data Engineers leverage the client's cloud infrastructure to deliver this value today and to scale for the future. We enjoy a collaborative environment and have many opportunities to learn from and share knowledge with other developers, architects, and our clients.
Specific responsibilities for the Data Engineer - Cloud position include:

 * Developing data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
 * Advising clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data quickly
 * Utilizing your skills in engineering best practices to solve complex data problems
 * Collaborating with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.
 * Articulating architectural differences between solution methods and the advantages/disadvantages of each, CapTech is an equal opportunity employer committed to fostering a culture of equality, inclusion and fairness - each foundational to our core values. We strive to create a diverse environment where each employee is encouraged to bring their unique ideas, backgrounds and experiences to the workplace. For more information about our Diversity, Inclusion and Belonging efforts, click . As part of this commitment, CapTech will ensure that persons with disabilities are provided reasonable accommodations. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact Laura Massa directly via email .
At this time, CapTech cannot transfer nor sponsor a work visa for this position. Applicants must be authorized to work directly for any employer in the United States without visa sponsorship.
By clicking the link above or any third-party link within this posting, you are leaving this site and going to a third-party website where the third-party website's terms and privacy policy apply


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