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Weekend Data Engineer Internship Jobs in Utah (NOW HIRING)

Data Engineer

Salt Lake City, UT · On-site

$110K - $133K/yr

... internship (we care about proof you can ship and debug). • Solid engineering habits: Git ... data from APIs and messy SaaS exports (rate limits, pagination, schema drift, deduping). • ...

Data Engineer

Salt Lake City, UT · On-site

$105K - $126K/yr

Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship ... Occasional off-hours or weekend work required for emergency facility responses or projects as ...

Analytics Engineer This role will build out foundational agentic data tooling to support sales ... Generous vacation time, plus three 4-day summer holiday weekends * Excellent medical, dental, and ...

Perform routine billing and data analysis to monitor system accuracy and identify engineering ... Completion of internship with an electrical utility. Benefits At PacifiCorp, we understand that ...

This role is a balance between a Data Analyst and a Data Engineer. You should be equally ... Generous vacation time, plus three 4-day summer holiday weekends * Excellent medical, dental, and ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

Data/Ai Engineer Intern1 Data/AI Engineer in the Data & Ai Team Launch Your Career with Jade Global ... This is not an internship - it's a full-time opportunity with a competitive salary, full benefits ...

At RTX, our internships, co-ops and full-time careers provide an exceptional foundation to work on ... Engineers who have experience designing wireless communication and data links. This role includes ...

Review test data for accuracy and identify anomalies or nonconforming results * Troubleshoot test ... internships, co-ops, or lab coursework acceptable) * Hands-on lab experience preferred

Review test data for accuracy and identify anomalies or nonconforming results * Troubleshoot test ... internships, co-ops, or lab coursework acceptable) * Hands-on lab experience preferred

Description VAST Data is looking for a Customer Support Engineer to join our growing team! This is ... Rotational weekend shift once every 8-12 weeks and occasional holiday coverage.

You will contribute across product features, backend services, infrastructure, data systems, and AI ... Internship, coursework, or project experience building full-stack applications, backend services ...

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Weekend Data Engineer Internship information

What is the difference between Weekend Data Engineer Internship vs Weekend Data Analyst Internship?

AspectWeekend Data Engineer InternshipWeekend Data Analyst Internship
Required SkillsData pipeline development, SQL, Python, cloud platformsData visualization, SQL, Excel, basic analytics
Work EnvironmentTechnical teams, data engineering projectsBusiness teams, reporting and analysis tasks
Industry UsageTech, finance, e-commerceMarketing, retail, consulting

The Weekend Data Engineer Internship focuses on building and maintaining data pipelines and infrastructure, requiring technical skills like Python and cloud platforms. In contrast, the Weekend Data Analyst Internship emphasizes analyzing data and creating reports, with skills in visualization and Excel. Both roles are part-time, involve working with data teams, and are common in various industries, but they serve different functions within data management and analysis.

Data Engineer

Red Cat Holdings

Salt Lake City, UT • On-site

$110K - $133K/yr

Full-time

Re-posted 16 days ago


Job description

Job Summary:
Red Cat Holdings is seeking a Data Engineer to build their data foundation from the ground up. The role involves creating ETL/ELT pipelines, setting up a cloud data warehouse, and collaborating with various stakeholders to ensure data quality and accessibility.
Responsibilities:
• Build and maintain ETL/ELT pipelines that ingest data from multiple sources (e.g., internal DBs, SaaS tools, and third-party APIs), and keep them running reliably.
• Implement scheduling/orchestration, retries, and alerting so failures are visible and recoverable.
• Design pipelines using incremental processing patterns for scalability and cost efficiency.
• Help set up our first cloud data warehouse (e.g., Snowflake or BigQuery) and the initial schema/layout.
• Add data quality checks (tests, constraints, anomaly detection, reconciliation checks) and fix root causes when numbers look wrong.
• Create lightweight observability: freshness/SLAs, pipeline run monitoring, and basic lineage documentation.
• Make thoughtful tradeoffs between performance, usability, and maintainability.
• Work with stakeholders to translate questions into durable datasets (not one-off queries).
• Document sources, models, and assumptions so teammates can self-serve and onboard quickly.
• Participate in a reasonable support/on-call rotation once the stack is live.
Qualifications:
Required:
• Bachelor’s degree in computer science, data engineering, information systems, or equivalent technical degree.
• 3+ years of data engineering experience, specifically in managing a data warehouse.
• Strong SQL skills (joins, window functions, building reliable transformation logic).
• Comfortable in Python (or a similar language) for pipeline code, automation, and data tool glue.
• Understanding of data warehousing basics: tables, partitions (where relevant), incremental loads, and why modeling choices matter.
• Some hands-on exposure to ETL/ELT or pipelines in production or in a substantial project/internship (we care about proof you can ship and debug).
• Solid engineering habits: Git, readable code, and a willingness to write things down.
Preferred:
• dbt experience (models + tests + docs) or the ability to ramp quickly.
• Orchestration experience (Airflow, Dagster, Prefect, or similar).
• Experience with a cloud data warehouse (Snowflake, BigQuery, Redshift).
• Experience ingesting data from APIs and messy SaaS exports (rate limits, pagination, schema drift, deduping).
• Familiarity with basic data quality/observability practices (freshness checks, anomaly detection, monitoring/alerting).
Company:
Red Cat (Nasdaq: RCAT) is a U.S.-based provider of advanced all-domain drone and robotic solutions for defense and national security. Founded in 2016, the company is headquartered in San Juan, PRI, with a team of 51-200 employees. The company is currently Growth Stage.