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Intern Databricks Data Engineer Jobs in Petersburg, VA

Senior Data Engineer

Richmond, VA · On-site

$104K - $142K/yr

Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift ... Establish engineering best practices around code quality, testing, deployment, monitoring, and data ...

Agentic Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Agentic Data Engineer Location - Richmond, VA Interview Type: Both Phone and In Person Work Type ... Experience with Azure Blob Storage, Azure Data Lakes, Azure Databricks * Experience implementing ...

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer

Petersburg, VA · On-site

$80 - $91/hr

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

New

Data Engineer

Fort Gregg Adams, VA · On-site

$80K - $90K/yr

This is a hands-on role for an early-career engineer with a solid foundation in Python, SQL, and ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer

Fort Gregg Adams, VA · On-site

$80K - $90K/yr

Data Engineer Job Locations US-VA-Fort Gregg-Adams ID 2026-14408 # of Openings 1 Overview LMI is a ... Experience with Palantir Foundry, Databricks, or another enterprise data platform. * Experience ...

Data Engineer II

Richmond, VA · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Data Engineer II

Richmond, VA · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Sr Data Engineer

Richmond, VA · On-site

$75 - $83/hr

Sr Data Engineer - Contract - Remote - $75.00 - $83.00/hr. The final salary or hourly wage, as ... Skills & Requirements 3-5 years experience with Databricks required (they should know how to ingest ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and SQL - Experience with Docker and ...

Azure Solutions Architect Expert, Azure Data Engineer Associate, Snowflake Core, Snowflake Databricks Data Engineer Associate] is a plus - Proficient in Python and structured/unstructured data ...

SQL Data Engineer//W2 Contract

Richmond, VA · On-site

$113K - $136K/yr

SQL Data Engineer Location: Richmond, VA Work Arrangement: Hybrid Contract on W2 Project Overview ... Experience with Snowflake and/or Databricks * Experience with AI automation * Strong testing and ...

Palantir Foundry Data Engineer

Richmond, VA · On-site

$113K - $136K/yr

Deloitte is seeking a Data Engineer II to support the design, development, and delivery of data ... Databricks, or Amazon Redshift * 1+ years of experience with version control and continuous ...

Sr. Staff Data Engineer

Richmond, VA · On-site +1

$104K - $142K/yr

Sr. Staff Data Engineer Sr. Staff Data Engineers are individual contributors who strive to be ... Databricks mature these enterprise-scale systems and execute technical strategy. You will be both ...

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Showing results 21-40

Intern Databricks Data Engineer information

See Petersburg, VA salary details

$13

$24

$37

How much do intern databricks data engineer jobs pay per hour?

As of Sep 4, 2026, the average hourly pay for intern databricks data engineer in Petersburg, VA is $24.95, according to ZipRecruiter salary data. Most workers in this role earn between $20.29 and $28.32 per hour, depending on experience, location, and employer.

What is the difference between Intern Databricks Data Engineer vs Intern Data Analyst?

AspectIntern Databricks Data EngineerIntern Data Analyst
Required SkillsSQL, Python, Spark, Databricks platformExcel, SQL, data visualization tools
Work EnvironmentData engineering teams, cloud platformsBusiness intelligence teams, reporting environments
Industry UsageTech, finance, healthcareRetail, marketing, finance

Intern Databricks Data Engineers focus on building data pipelines and managing large-scale data workflows using Databricks and Spark, while Intern Data Analysts primarily analyze data and create reports. Both roles require SQL and basic programming skills, but Data Engineers need more technical expertise in data infrastructure, whereas Data Analysts focus on interpreting data for business insights.

What are popular job titles related to Intern Databricks Data Engineer jobs in Petersburg, VA?

For Intern Databricks Data Engineer jobs in Petersburg, VA, the most frequently searched job titles are:

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The top searched job categories for Intern Databricks Data Engineer jobs in Petersburg, VA are:

What cities near Petersburg, VA are hiring for Intern Databricks Data Engineer jobs?

Cities near Petersburg, VA with the most Intern Databricks Data Engineer job openings:

Senior Data Engineer

Tiger Analytics Inc.

Richmond, VA • On-site

$104K - $142K/yr

Full-time

Posted 16 days ago


Job description

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Tiger Analytics is looking for an experienced Lead Data Engineer to design, build, and optimize scalable data platforms and real-time data solutions. The ideal candidate will have strong hands-on expertise in Python, SQL, cloud platforms, distributed data processing, streaming technologies, and modern cloud data warehouses.

Key Responsibilities:

  • Lead the design and development of scalable batch and real-time data pipelines using Python and SQL.
  • Design and implement data solutions on AWS, Azure, or GCP.
  • Build high-volume data processing solutions using Spark, Kafka, Hadoop, EMR, or equivalent distributed technologies.
  • Develop and optimize real-time and event-driven streaming applications.
  • Design data models and structures supporting enterprise data warehouses and analytics platforms.
  • Work with modern cloud data platforms such as Snowflake, Databricks, and Amazon Redshift.
  • Optimize data pipelines and processing workloads for performance, scalability, reliability, and cost efficiency.
  • Lead technical discussions, design reviews, and provide guidance to other data engineers.
  • Collaborate with architects, product teams, application developers, and business stakeholders to translate requirements into scalable data solutions.
  • Establish engineering best practices around code quality, testing, deployment, monitoring, and data quality

Requirements

  • 10+ years of experience in application/data engineering using Python and SQL.
  • 5+ years of experience working with at least one major public cloud platform: AWS, GCP, or Azure.
  • 5+ years of experience with distributed data processing technologies such as Spark, Kafka, Hadoop, EMR, MapReduce, or equivalent.
  • 5+ years of experience building and supporting real-time data and streaming applications.
  • 5+ years of experience with cloud data warehouses/platforms such as Snowflake, Databricks, or Redshift.
  • 5+ years of experience with data modeling for data warehousing and analytics.
  • Strong understanding of data engineering, distributed computing, data pipelines, and cloud architecture.
  • Strong problem-solving and communication skills with the ability to provide technical leadership.

Benefits

This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy,
national origin, ancestry, marital status, protected veteran status, disability
status, or any other basis as protected by federal, state, or local law.