Data Engineer; AWS, Azure, GCP
Listed on 2026-02-16
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IT/Tech
Data Engineer, Cloud Computing
Company Overview
Cap Tech is an award‑winning consulting firm that collaborates with clients to achieve what’s possible through the power of technology. We work alongside Fortune 100 companies, mid‑sized enterprises, and government agencies across the country, focused on building long‑lasting relationships.
Job OverviewCap Tech Data Engineering consultants enable clients to build and maintain advanced data systems that bring together data from disparate sources to empower decision‑makers. As a Cloud Data Engineer, you will leverage the client’s cloud infrastructure to deliver value today and scale for the future, collaborating with developers, architects, and stakeholders.
Responsibilities- Develop data pipelines and other data products using Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Advise clients on specific technologies and methodologies for utilizing cloud resources to efficiently ingest and process data.
- Apply engineering best practices to solve complex data problems.
- Collaborate with end users, development staff, and business analysts to ensure that prospective data architecture plans maximize the value of client data across the organization.
- Articulate architectural differences between solution methods and the advantages and disadvantages of each.
- Experience delivering solutions on a major cloud platform.
- Ability to think strategically and relate architectural decisions to business needs and client culture.
- Experience in design and implementation of data architecture solutions.
- 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 based on business needs.
- Demonstrable ability to deliver production data pipelines and other data products (hands‑on experience, degree, certification, bootcamp, or other learning).
- Languages:
SQL, Python, Java, R, C#, C++ and
C. - Databases: SQL Server, Postgre
SQL, Snowflake, Redshift, Aurora, Presto, Big Query, Oracle. - Dev Ops:
Git, Docker, Subversion, Kubernetes, Jenkins. - Additional technologies:
Spark, Databricks, Kafka, Kinesis, Hadoop, Lambda, EMR. - Certifications:
AWS Cloud Practitioner, Microsoft Azure Data Fundamentals, Google Associate Cloud Engineer.
- Learning & Development – Programs offering certification and tuition support, digital on‑demand learning courses, mentorship, and skill development paths.
- Modern Health – Mental health and well‑being platform providing 1:1 care, group support sessions, and self‑serve resources.
- Carrot Fertility – Inclusive fertility and family‑forming coverage for all paths to parenthood, including adoption, surrogacy, fertility treatments, pregnancy, and more.
- Fringe – Company‑paid stipend program for personalized lifestyle benefits such as Netflix, Spotify, Grub Hub, student loan repayment, travel, fitness, and more.
- Employee Resource Groups – Employee‑led committees that embrace and incorporate diversity and inclusion into daily operations.
- Philanthropic Partnerships – Opportunities to engage in partnerships and pro‑bono projects that support communities.
- 401(k) Matching – Generous matching with no vesting period.
Cap Tech is an equal‑opportunity employer committed to fostering a culture of equality, inclusion, and fairness — each foundational to our core values. For more information about our Diversity, Inclusion, and Belonging efforts, . As part of this commitment, Cap Tech will provide reasonable accommodations for individuals with disabilities. If you need an accommodation during the application or interview process, contact Laura Massa at
Cap Tech supports Equal Pay for all. In Colorado, we comply with the Colorado Equal Pay for Equal Work Act. The base pay range for this role is: $75,000 - $160,000.
At this time, Cap Tech 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.
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