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Intern Databricks Data Engineer Jobs in St Louis, MO

Databricks Alliance Partner

Saint Louis, MO ยท On-site

$160K - $209K/yr

... Databricks Data and AI ecosystem. The ideal candidate will have deep knowledge of Databricks ... Powered by our 7,000+ advisors, engineers, and designers, Perficient implements AI-first solutions ...

Data Analytics Coop

Saint Louis, MO ยท On-site

$21 - $30/hr

Programming Platforms: Microsoft Office, Excel, Power BI, and Databricks * Tools: SQL, Python, SAS, relational databases, and data warehouses The Co-Op program provides students with valuable work ...

Data Analytics Coop

Saint Louis, MO ยท On-site

$21 - $30/hr

Programming Platforms: Microsoft Office, Excel, Power BI, and Databricks * Tools: SQL, Python, SAS, relational databases, and data warehouses The Co-Op program provides students with valuable work ...

Data Analytics Coop

Saint Louis, MO ยท On-site

$21 - $30/hr

Programming Platforms: Microsoft Office, Excel, Power BI, and Databricks * Tools: SQL, Python, SAS, relational databases, and data warehouses The Co-Op program provides students with valuable work ...

Showing results 21-40

Intern Databricks Data Engineer information

See St Louis, MO salary details

$13

$24

$37

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

As of Aug 13, 2026, the average hourly pay for intern databricks data engineer in St. Louis, MO is $24.71, according to ZipRecruiter salary data. Most workers in this role earn between $20.10 and $28.03 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 the most commonly searched types of Databricks Data Engineer jobs in St. Louis, MO? The most popular types of Databricks Data Engineer jobs in St. Louis, MO are:
What are popular job titles related to Intern Databricks Data Engineer jobs in St. Louis, MO? For Intern Databricks Data Engineer jobs in St. Louis, MO, the most frequently searched job titles are:
What job categories do people searching Intern Databricks Data Engineer jobs in St. Louis, MO look for? The top searched job categories for Intern Databricks Data Engineer jobs in St. Louis, MO are:
What cities near St. Louis, MO are hiring for Intern Databricks Data Engineer jobs? Cities near St. Louis, MO with the most Intern Databricks Data Engineer job openings:
Infographic showing various Intern Databricks Data Engineer job openings in St. Louis, MO as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $51,398 per year, or $24.7 per hour.

Data Engineer | 10+ yrs | Shiloh IL with Security Clearance

Silverthorne Advisory Group, LLC

Shiloh, IL โ€ข On-site

$106K - $128K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 26 days ago


Job description

Silverthorne Advisory Group is seeking a skilled and highly motivated Data Engineer to join an exciting and growing opportunity within the Defense sector. As a Data Engineer, you will play a crucial role in designing, developing, and maintaining our client's cloud and data infrastructure and systems. Your expertise in ETL, Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks will be essential in ensuring efficient data processing and analysis. Responsibilities: - Design, develop, and implement end-to-end data pipelines, utilizing ETL processes and technologies such as Databricks, Python, Spark, Scala, JavaScript/JSON, SQL, and Jupyter Notebooks. - Create and optimize data pipelines from scratch, ensuring scalability, reliability, and high-performance processing. - Perform data cleansing, data integration, and data quality assurance activities to maintain the accuracy and integrity of large datasets. - Leverage big data technologies to efficiently process and analyze large datasets, particularly those encountered in a federal agency. - Troubleshoot data-related problems and provide innovative solutions to address complex data challenges. Implement and enforce data governance policies and procedures, ensuring compliance with regulatory requirements and industry best practices. - Work closely with cross-functional teams to understand data requirements and design optimal data models and architectures. - Collaborate with data scientists, analysts, and stakeholders to provide timely and accurate data insights and support decision-making processes. - Maintain documentation for software applications, workflows, and processes. - Stay updated with emerging trends and advancements in data engineering and recommend suitable tools and technologies for continuous improvement. Required Skills - Secret clearance or higher required (can be sponsored). - Strong SQL knowledge: Ability to write, troubleshoot, and modify complex SQL procedures and queries across a variety of datasets. - Extract, Transform, Load (ETL) experience: Experience with establishing and maintaining data load processes as well as manipulating and combining various data sources. - Business Intelligence experience: Creating and updating applications, reports, dashboards, etc. Cognos Analytics, Qlik Sense, and Power BI especially are relevant to the role. - Python and Coding experience: Hands-on experience with languages/technologies such as Python, Spark, Scala, JavaScript/JSON, and SQL. Desired Skills - Databricks experience: Familiarity with Databricks, Amazon AWS/S3, Jupyter Notebooks will be helpful in the role. - Strong problem-solving skills and ability to solve complex data-related issues. - Demonstrated experience working with large datasets and leveraging big data technologies to process and analyze data efficiently. - Understanding of data modeling/visualization, database design principles, and data governance practices. - Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. - Detail-oriented mindset with a commitment to delivering high-quality results. - Teradata experience is a plus. Knowledge of Multiloads, BTEQs, and other assorted Teradata procedures will be helpful in the role. - Accounting knowledge is a plus. Some background on DoD accounting system (DEAMS, TFMS, NERP etc.) and transportation policies will be helpful in the role. Additional Details - Compensation - We carefully consider a wide range of compensation factors, including but not limited to prior experience, skills, expertise, location, and other considerations permitted by law. - Healthcare - We offer Health, Vision, and Dental Plans for our employees and their families. - Retirement Plan - We invest in your future with a competitive 401(k) plan, where we match 100% of your contributions up to your first 6% and give you access to Vanguard Admiral funds. - Paid Time Off - Based on length of service, we offer a generous amount of paid leave. - Bonus System - As you invest in us, we invest in you. We offer bonuses to all employees who meet and exceed goals throughout the year. - Professional Development - Support for career growth through training programs and certifications. - Company Retreats & Team Events - Sponsored trips, team-building activities, and annual conferences related to your skillset.