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Entry Level Startup Data Engineer Jobs (NOW HIRING)

Associate Data Engineer

San Diego, CA ยท On-site

$121.60K - $146K/yr

The assigned tasks will be entry level to Moderate in Nature, requiring basic domain knowledge and ... The Associate Data engineer will need to collaborate within the immediate team and cross ...

AI-Native Data Engineer - TrueMeter

San Francisco, CA ยท On-site

$134.90K - $162K/yr

AI-Native Data Engineer @ TrueMeter SF Bay Area | Hybrid (3 days onsite, 2 remote) About Us We're ... This is a startup role in the truest sense: priorities change, speed matters, and the impact is ...

Senior Data Engineer

Seattle, WA ยท Hybrid

$170K - $210K/yr

... startup experience - Analysis or analytics engineering experience - Full stack development ... workflows and data modeling - Snowflake for data warehousing - Python for data loading ...

Senior Data Engineer

Seattle, WA ยท On-site

$170K - $210K/yr

Early stage startup experience * Analysis or analytics engineering experience * Full stack ... Data orchestration using Argo-Workflow DAGs * Azure cloud infrastructure with Kubernetes Our ...

Senior Data Engineer

$190K - $240K/yr

We are looking for a Senior Data Engineer to help us build, automate, and execute the next ... You've survived (and thrived in) a rapidly scaling startup handling complex, multi-tenant B2B SaaS ...

Junior data scientist/Data engineer

Denver, CO

$117.80K - $141.50K/yr

Target roles and stacks Current demand often includes entry-level software programmers, Java full stack developers, Python/Java developers, DevOps engineers, data analysts, data engineers, data ...

Senior / Staff Data Engineer

New York, NY ยท On-site

$200K - $300K/yr

This is the kind of scale where the data engineering decisions you make today have direct product ... Equity in a fast-growing startup * Competitive benefits package tailored to your location

AI & Machine Learning Engineer

San Diego, CA

$121.60K - $146K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

AI & Machine Learning Engineer

Chicago, IL

$118K - $141.80K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

AI & Machine Learning Engineer

Dallas, TX

$113.70K - $136.60K/yr

In JOPP, the demand typically includes roles such as entry-level software programmer , Java full stack developer , Python/Java developer , data analyst , data engineer , data scientist , and machine ...

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Entry Level Startup Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do entry level startup data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for entry level startup data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Entry Level Startup Data Engineer, and why are they important?

To thrive as an Entry Level Startup Data Engineer, you need a solid understanding of programming languages like Python or SQL, data modeling, and a relevant degree such as computer science or engineering. Familiarity with data pipelines, cloud platforms (e.g., AWS, Google Cloud), and tools like Apache Spark or ETL systems is typically required. Strong problem-solving abilities, adaptability, and effective communication skills help you excel in a fast-paced, evolving environment. These competencies are crucial for building reliable data solutions and collaborating well within lean startup teams.

What are some common challenges faced by entry level data engineers at startups, and how can they be addressed?

Entry level data engineers at startups often encounter challenges such as working with rapidly evolving tech stacks, limited documentation, and balancing multiple responsibilities due to smaller teams. Adapting quickly and proactively seeking clarification from team members is key. Building strong communication with software engineers, data scientists, and product managers helps ensure alignment on data requirements and project priorities. Taking initiative to document solutions and automate repetitive tasks can also improve efficiency and contribute to team success.

What does an Entry Level Startup Data Engineer do?

An Entry Level Startup Data Engineer is responsible for building and maintaining the data infrastructure that supports a startup's analytics and business operations. They typically work with databases, data pipelines, and cloud platforms to collect, process, and store data from various sources. Their tasks often include cleaning and transforming raw data, ensuring data quality, and assisting data analysts or scientists by providing them with reliable datasets. Because startups often have smaller teams, entry-level data engineers may also take on a variety of technical tasks and collaborate closely with software engineers and product managers. This role is ideal for those looking to gain broad experience in data engineering within a fast-paced, innovative environment.

What is the difference between Entry Level Startup Data Engineer vs Data Analyst?

AspectEntry Level Startup Data EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; basic SQL, Python, or Spark knowledgeBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, and visualization tools
Work EnvironmentStartups, fast-paced, collaborative, technical focus on data pipelines and infrastructureVarious industries, focus on data interpretation, reporting, and business insights
Employer & Industry UsageTech startups, SaaS companies, e-commerceFinance, marketing, healthcare, retail

Entry Level Startup Data Engineers focus on building data infrastructure and pipelines, requiring technical skills like SQL and Python. Data Analysts interpret data to generate insights, often using visualization tools. While both roles work with data, engineers develop the systems, and analysts analyze data for decision-making.

More about Entry Level Startup Data Engineer jobs
What cities are hiring for Entry Level Startup Data Engineer jobs? Cities with the most Entry Level Startup Data Engineer job openings:
What are the most commonly searched types of Startup Data Engineer jobs? The most popular types of Startup Data Engineer jobs are:
What states have the most Entry Level Startup Data Engineer jobs? States with the most job openings for Entry Level Startup Data Engineer jobs include:
Infographic showing various Entry Level Startup Data Engineer job openings in the United States as of May 2026, with employment types broken down into 65% Full Time, 29% Part Time, and 6% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

Associate Data Engineer

Murata Americas

San Diego, CA โ€ข On-site

$121.60K - $146K/yr

Full-time

Posted 5 days ago


Job description

pSemi Corporation is a Murata company driving semiconductor integration. pSemi builds on Peregrine Semiconductor's 30-year legacy of technology advancements and strong IP portfolio but with a new mission-to enhance Murata's world-class capabilities with high-performance semiconductors. With a strong foundation in RF integration, pSemi's product portfolio now spans power management, connected sensors, optical transceivers, antenna tuning and RF frontends. These intelligent and efficient semiconductors enable advanced modules for smartphones, base stations, personal computers, electric vehicles, data centers, IoT devices and healthcare. From headquarters in San Diego and offices around the world, pSemi's team explores new ways to make electronics for the connected world smaller, thinner, faster and better.
Job Summary
The Associate Data Engineer will be reporting into Data Integration and Analytics team in Product Engineering at San Diego, California. You will be part of team that is committed to providing highly reliable data infrastructure, supporting advanced data analytic tools and automation to drive efficiency, productivity and data uniformity in the company.
The assigned tasks will be entry level to Moderate in Nature, requiring basic domain knowledge and foundational technical skills with opportunities to build proficiency through coaching and ongoing project-based work. In this role you will be primarily responsible for supporting maintenance of the infrastructure and tools for engineering data analysis and automation. In this role you will interface mainly with IT and Product Engineering groups to support the implementation of solutions. This position operates in fast-paced environment and must be flexible to project needs. The Associate Data engineer will need to collaborate within the immediate team and cross functionally in an effective way and be able to meet project requirements on schedule.
Roles & Responsibilities
This position has responsibility for:
  • Support and monitor assigned ETL pipelines which integrate data from internal and external data sources such as overseas manufacturing and test locations, foundries, module assembly factories to support analysis by Engineering teams.
  • Collaborate with PE and IT and support them in resolving production issues related to data flow and data quality for robust data ingestion and disposition.
  • Monitor existing automations and legacy jobs; identify recurring failures or performance bottlenecks and recommend improvements for implementation.
  • Aid in implementation of analytic tools and machine learning models that utilize existing data processing pipelines to provide actionable insights into operational efficiency, and other key business performance metrics.
  • Contribute incremental improvements to reliability and accuracy of dashboards and templates by implementing data validation checks, documentation updates, and small automation enhancements.
  • Support team operations in cloud and distributed data stores (e.g., Cassandra) by completing assigned tickets, learning operational practices, and updating runbooks/documentation.
  • Participate in mentor/mentee development, complete training plan milestones, and cross-train as backup for defined production support procedures.
  • Participate in Mentor-Mentee opportunities and train as backup on critical production functions.
  • Works under close supervision with regular code review and guidance from senior engineers.

Minimum Qualifications (Experience and Skills)
  • 0 - 2 years of work experience (with Bachelor's degree) in Computer Science/software development/Information Systems or equivalent
  • Understanding of ETL pipeline setup (with basic experience preferred)
  • Foundational file I/O level skills in programming languages like Python/R
  • Basic SQL skills (joins, updates, etc.)
  • Familiarity with Shell scripting and willingness to debug wide varieties of legacy and current code bases.
  • Experience with Linux/Unix based operating systems.
  • Experience in relational databases such as Oracle SQL or SQL server etc.
  • Experience with Git-based workflows (PRs, Code Review)
  • knowledge of distributed database concepts and workings
  • Basic knowledge about BI tools such as Tibco Spotfire or tableau or Microsoft Power BI etc.
  • Strong written and verbal communication; comfortable documenting work and providing status updates

Education Requirements
  • BS Degree in Computer Science or Software Engineering; MS preferred.

Work Environment
This job operates in a professional office environment. This role routinely uses standard office equipment.
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee is regularly required to talk or hear. The employee frequently is required to stand; walk; use hands to finger, handle or feel; and reach with hands and arms. Specific vision abilities required by this job include close vision, distance vision, color vision, peripheral vision, depth perception and ability to adjust focus. This position requires the ability to occasionally lift office products and supplies, up to 20 pounds.
USD 79,547.44 - 103,417.40 per year
pSemi Corporation supports a diverse workforce and is committed to a policy of equal employment opportunity for applicants and employees. pSemi does not discriminate on the basis of age, race, color, religion (including religious dress and grooming practices), sex/gender (including pregnancy, childbirth, or related medical conditions or breastfeeding), gender identity, gender expression, genetic information, national origin (including language use restrictions and possession of a driver's license issued under Vehicle Code section 12801.9), ancestry, physical or mental disability, legally-protected medical condition, military or veteran status (including "protected veterans" under applicable affirmative action laws), marital status, sexual orientation, or any other basis protected by local, state or federal laws applicable to the Company. pSemi also prohibits discrimination based on the perception that an employee or applicant has any of those characteristics, or is associated with a person who has or is perceived as having any of those characteristics.
Note: The Peregrine Semiconductor name, Peregrine Semiconductor logo and UltraCMOS are registered trademarks and the pSemi name, pSemi logo, HaRP and DuNE are trademarks of pSemi Corporation in the U.S. and other countries. All other trademarks are the property of their respective companies. pSemi products are protected under one or more of the following U.S. Patents: http://patents.psemi.com
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