1

Remote Internship Data Engineering Jobs Near Me

Data Engineer Databricks (Remote)

Columbus, OH ยท Remote

$110K - $132K/yr

Data Engineering & Pipelines * Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows. * Ingest structured, semi ...

GOOGLE Data Architect

Columbus, OH ยท On-site

$75 - $85/hr

Columbus, OH (4 days onsite, 1 day remote) Type: 3+ Months Contract to Hire Overview: We're looking ... Mentor teams and drive best practices in data engineering and architecture Required Qualifications ...

Data Architect, Databricks

Columbus, OH ยท On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Data Architect, Databricks

Columbus, OH ยท On-site +1

$61.50 - $79.25/hr

You will partner closely with engineering, analytics, governance, and business teams to deliver ... full-remote candidate. * McKesson complies with all applicable U.S. immigration laws and ...

Raymond, OH (Hybrid 4 days/week onsite and 1 day/week remote) Contract Duration: 14+ months Rate: $57/hr on W2 What will this person be working on In this role, person will be responsible for ...

next page

Showing results 1-20

Remote Internship Data Engineering information

See salary details

$12

$22

$42

How much do remote internship data engineering jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for remote internship data engineering in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.
What cities are hiring for Remote Internship Data Engineering jobs? Cities with the most Remote Internship Data Engineering job openings:
What states have the most Remote Internship Data Engineering jobs? States with the most job openings for Remote Internship Data Engineering jobs include:
What are the most commonly searched types of Remote Data Engineering jobs? The most popular types of Remote Data Engineering jobs are:
A map of the United States highlighting the number of Remote Internship Data Engineering job openings by state according to ZipRecruiter. The image is accompanied by a detailed chart listing the number of Remote Internship Data Engineering job openings in each state, with California having the most at 2 and Hawaii the least at 0.
Data Engineer Databricks (Remote)

Data Engineer Databricks (Remote)

ComResource

Columbus, OH โ€ข Remote

$110K - $132K/yr

Full-time

Posted 10 days ago


Job description

ComResource is looking for a Data Engineer โ€“ Databricks.

Responsibilities:

Data Engineering & Pipelines

  • Build scalable, production-grade ETL/ELT pipelines using Databricks, including PySpark, Spark SQL, Delta Live Tables, and Workflows.
  • Ingest structured, semi-structured, and streaming data into Bronze, Silver, and Gold layers.
  • Develop optimized transformations, data quality rules, and reusable framework components.
  • Leverage built-in AI tooling for faster delivery where applicable.
  • Implement best practices for job orchestration, monitoring, alerting, and automation.

Data Modeling

  • Design and implement dimensional models including star and snowflake schemas for analytical workloads.
  • Apply normalization and denormalization strategies for performance and usability.
  • Create physical data models aligned to Delta Lake and Medallion architecture.
  • Ensure data quality, integrity, and alignment with enterprise governance policies.

Essentials:

  • 7โ€“10+ years of experience in data engineering.
  • Proven experience building and deploying large-scale Databricks pipelines.
  • Advanced hands-on Databricks experience, including Spark, Delta Lake, Workflows, and Unity Catalog.
  • Strong understanding of Medallion architecture (Bronze/Silver/Gold).
  • Proficiency with PySpark, SQL, ETL/ELT frameworks, and Delta Lake optimizations.
  • Strong SQL programming and performance tuning skills.
  • Strong experience working with CI/CD, Git, and job orchestration tools.
  • Deep understanding of data modeling principles for warehousing and analytics.
  • Experience with cloud environments including AWS, Azure, or GCP.
  • Experience with modern data lakehouse concepts and distributed systems.

Req ID: AM71721771