Data Engineer (AWS, Azure, GCP)
$90,000–$200,000 year
On-siteDenver, Colorado, United States
Job Summary
Develop data pipelines and products using Amazon Web Services, Microsoft Azure, or Google Cloud Platform to ingest and process data for client decision-makers. Advise clients on cloud resource technologies and methodologies to efficiently process data, while utilizing engineering best practices to solve complex data problems. Collaborate with end users, development staff, and business analysts to ensure architectural plans maximize client data value, and articulate differences between solution methods and their respective advantages. This role requires experience delivering solutions on a major cloud platform, designing data architecture, and producing SQL expertise alongside scripting. Candidates must be authorized to work in the United States without visa sponsorship. CapTech offers a flexible work environment with options for onsite, remote, or client locations, supported by extensive benefits including 401(k) matching, fertility coverage, and tuition reimbursement.
Required Qualifications
- 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
- A demonstrable ability to deliver production data pipelines and other data products
- Successful candidates usually have demonstrable experience with technologies in some of these categories: Languages: SQL, Python, Java, R, C# / C++ / C
- Successful candidates usually have demonstrable experience with technologies in some of these categories: Database: SQL Server, PostgreSQL, Snowflake, Redshift, Aurora, Presto, BigQuery, Oracle
- Successful candidates usually have demonstrable experience with technologies in some of these categories: DevOps: git, docker, subversion, Kubernetes, Jenkins
- Successful candidates usually have demonstrable experience with technologies in some of these categories: Additional Technologies: Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR
- Successful candidates usually have demonstrable experience with technologies in some of these categories: Popular Certifications: AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer
- Employees must be available to work onsite in a client location or a CapTech office as requested
- Applicants must be authorized to work directly for any employer in the United States without visa sponsorship
Desired Qualifications
- Hands on experience, degree, certification, bootcamp, or other learning
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