Entry Level Data Engineering Analyst Jobs
New grad data engineering analyst jobs welcome recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project can carry more weight than a lengthy resume. Most openings are Technology & Software, Consulting & Professional Services, and E-Commerce & Online Marketplaces roles across a mix of on-site, remote, and hybrid settings, with employers like Amazon, TikTok, and Capital One hiring at this level now.
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Showing 5 of 644+ Entry Level Data Engineering Analyst jobs
CLA is a top 10 national professional services firm whose purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.
CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
About the role:
CLA is looking to hire a Data Engineer II to join our growing team. The Data Engineer II supports the design, development, and maintenance of scalable, secure, and high-performing data solutions. This role contributes to data pipeline development, data integration, platform reliability, and the delivery of trusted data solutions that support CLA’s business needs.
The ideal candidate has experience working with cloud-based data platforms, enjoys solving technical problems, and is eager to continue developing their data engineering skills while collaborating with experienced team members.
As a Data Engineer II, you will:
- Build, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python.
- Support the integration of data across databases, data warehouses, APIs, ETL processes, middleware, and other enterprise systems.
- Help ensure data engineering solutions meet established performance, reliability, security, compliance, and governance requirements.
- Collaborate with data engineers, architects, analysts, business partners, and other technology teams to deliver scalable data solutions.
- Contribute to technical design discussions, platform decisions, and continuous improvement initiatives.
- Participate in the delivery of releases aligned with business goals, technical standards, and data governance policies.
- Monitor data pipelines and assist with troubleshooting performance, reliability, and data-quality issues.
- Contribute to system reliability and maintainability through effective documentation, testing, source control, and code-quality practices.
- Support data modeling, transformation, and data warehouse development activities.
- Develop and maintain technical documentation, including data mappings, pipeline documentation, operational procedures, and support materials.
- Participate in Agile delivery practices, including sprint planning, daily stand-ups, backlog refinement, demonstrations, and retrospectives.
- Continuously build knowledge of cloud data engineering technologies, emerging tools, and industry best practices.
What you will need:
Experience
- Two years of relevant data engineering, software engineering, data integration, or related technology experience required.
- Experience working with cloud engineering technologies across Microsoft Azure or AWS required.
- Experience with Databricks required.
- Experience developing data pipelines using SQL and Python required.
- Experience with databases, data warehouses, ETL processes, APIs, middleware, and enterprise system integrations preferred.
Education
- Bachelor’s degree required.
- A combination of relevant experience, education, and training may be accepted in lieu of a degree.
- Degree in Computer Science, Mathematics, Information Technology, Data Engineering, or a related field preferred.
Certifications
No certifications are required.
One or more of the following certifications are preferred:
- Databricks Certified Data Engineer Associate
- Microsoft Certified: Azure Fundamentals
- AWS Certified Data Engineer – Associate
Technical skills:
- Proficiency with Microsoft Azure or AWS cloud technologies.
- Proficiency with Azure Databricks, Azure Data Factory, SQL, and Python.
- Experience with Apache Spark and cloud-based data-processing technologies.
- Familiarity with GitHub or comparable source-control and development platforms.
- Familiarity with Snowflake or comparable cloud data platforms.
- Understanding of data modeling, data warehousing, databases, and ETL or ELT processes.
- Familiarity with data-visualization tools such as Microsoft Power BI, Tableau, or Matplotlib.
- Proficiency with Microsoft 365 applications, including Microsoft Teams, Outlook, Word, Excel, and PowerPoint.
- Ability to document technical solutions clearly and collaborate with both technical and business stakeholders.
Travel:
Less than 10%.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
CLA is a top 10 national professional services firm whose purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.
CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.
About the role:
CLA is looking to hire a Data Engineer II to join our growing team. The Data Engineer II supports the design, development, and maintenance of scalable, secure, and high-performing data solutions. This role contributes to data pipeline development, data integration, platform reliability, and the delivery of trusted data solutions that support CLA’s business needs.
The ideal candidate has experience working with cloud-based data platforms, enjoys solving technical problems, and is eager to continue developing their data engineering skills while collaborating with experienced team members.
As a Data Engineer II, you will:
- Build, test, deploy, and maintain data pipelines using Azure Databricks, Azure Data Factory, SQL, and Python.
- Support the integration of data across databases, data warehouses, APIs, ETL processes, middleware, and other enterprise systems.
- Help ensure data engineering solutions meet established performance, reliability, security, compliance, and governance requirements.
- Collaborate with data engineers, architects, analysts, business partners, and other technology teams to deliver scalable data solutions.
- Contribute to technical design discussions, platform decisions, and continuous improvement initiatives.
- Participate in the delivery of releases aligned with business goals, technical standards, and data governance policies.
- Monitor data pipelines and assist with troubleshooting performance, reliability, and data-quality issues.
- Contribute to system reliability and maintainability through effective documentation, testing, source control, and code-quality practices.
- Support data modeling, transformation, and data warehouse development activities.
- Develop and maintain technical documentation, including data mappings, pipeline documentation, operational procedures, and support materials.
- Participate in Agile delivery practices, including sprint planning, daily stand-ups, backlog refinement, demonstrations, and retrospectives.
- Continuously build knowledge of cloud data engineering technologies, emerging tools, and industry best practices.
What you will need:
Experience
- Two years of relevant data engineering, software engineering, data integration, or related technology experience required.
- Experience working with cloud engineering technologies across Microsoft Azure or AWS required.
- Experience with Databricks required.
- Experience developing data pipelines using SQL and Python required.
- Experience with databases, data warehouses, ETL processes, APIs, middleware, and enterprise system integrations preferred.
Education
- Bachelor’s degree required.
- A combination of relevant experience, education, and training may be accepted in lieu of a degree.
- Degree in Computer Science, Mathematics, Information Technology, Data Engineering, or a related field preferred.
Certifications
No certifications are required.
One or more of the following certifications are preferred:
- Databricks Certified Data Engineer Associate
- Microsoft Certified: Azure Fundamentals
- AWS Certified Data Engineer – Associate
Technical skills:
- Proficiency with Microsoft Azure or AWS cloud technologies.
- Proficiency with Azure Databricks, Azure Data Factory, SQL, and Python.
- Experience with Apache Spark and cloud-based data-processing technologies.
- Familiarity with GitHub or comparable source-control and development platforms.
- Familiarity with Snowflake or comparable cloud data platforms.
- Understanding of data modeling, data warehousing, databases, and ETL or ELT processes.
- Familiarity with data-visualization tools such as Microsoft Power BI, Tableau, or Matplotlib.
- Proficiency with Microsoft 365 applications, including Microsoft Teams, Outlook, Word, Excel, and PowerPoint.
- Ability to document technical solutions clearly and collaborate with both technical and business stakeholders.
Travel:
Less than 10%.
Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Wellness at CLA
To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.
See All 644+ Entry Level Data Engineering Analyst Jobs
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Find JobsEntry Level Data Engineering Analyst Job Market
Who's Hiring
- Amazon95
- TikTok22
- Capital One15
- CBRE14
- Medpace12
Top Industries Hiring
- Technology & Software227
- Consulting & Professional Services53
- E-Commerce & Online Marketplaces45
- Retail44
- Healthcare & Medical Services43
Entry Level Data Engineering Analyst Jobs: Frequently Asked Questions
How do I get an entry level data engineering analyst job?
Build a portfolio that shows you can work with real data pipelines, write SQL, and use tools like Python, Spark, or dbt. Employers hiring at the entry level look for evidence you can learn on the job, so internship experience, capstone projects, or self-taught work on public datasets all count. Tailor your resume to show specific tools and outcomes, not just coursework.
Which companies hire entry level data engineering analysts?
Companies hiring entry level data engineering analysts right now include Amazon, TikTok, and Capital One, based on current listings on Migrate Mate as of November 2026. At this level, hiring comes from a wide range of employers, from large tech and financial firms building out data infrastructure to mid-size companies that need analytical support across their data stacks.
Are there remote entry level data engineering analyst jobs?
Yes, though remote availability at the entry level is more limited than for senior roles. About 28% of entry level data engineering analyst openings are remote or hybrid as of November 2026, so candidates who prefer flexibility still have solid options. Hybrid roles are especially common, giving new hires structured in-person onboarding alongside remote flexibility.
Are these new grad data engineering analyst jobs?
Yes, the listings on this page include new grad, recent graduate, and junior data engineering analyst roles. A posting is new-grad friendly when it welcomes zero to two years of experience, accepts internships or academic projects in place of professional history, or lists a portfolio as an acceptable substitute for a full work record. Look for language like "entry level," "new grad," or "junior" in the job description.
Which industries hire the most entry level data engineering analysts?
Entry Level data engineering analyst roles concentrate in Technology & Software, Consulting & Professional Services, and E-Commerce & Online Marketplaces, based on current listings on Migrate Mate as of November 2026. These sectors drive hiring at this level because they generate large volumes of structured and unstructured data and need analytical support to build, maintain, and improve the pipelines that make that data usable.