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Entry Level Data Platform Engineer Jobs (NOW HIRING)

Tailored Talent

Data Platform Engineer

San Francisco, CA

$134K - $162K/yr

You'd be the person making sure the data layer actually works. This is a hands-on engineering seat at a technology-driven investment firm in San Francisco. You'll own the plumbing: the pipelines, the ...

New

eTeam

Cloud Data Platform Engineer

Cupertino, CA

$68.75 - $92/hr

Cloud Data Platform Engineer Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN, Atlanta GA, Charlotte NC. Duration: 8 Months contract role As an Analytics platform engineer supporting ...

eTeam

Cloud Data Platform Engineer

Atlanta, GA

$53.50 - $71.75/hr

Cloud Data Platform Engineer Location: SF or Cupertino, California, Dallas Texas, Hopkins, MN, Atlanta GA, Charlotte NC. Duration: 8 Months contract role As an Analytics platform engineer supporting ...

Vectra

Senior Data Platform Engineer

Austin, TX · On-site

$121K - $160K/yr

Our Application Data Platform is designed to offer both our internal developers as well as our customers a world class developer experience empowering engineering teams and customers alike to build ...

Qualysoft

... Engineer gesucht. Ziel ist der Aufbau, Betrieb und die Weiterentwicklung einer stabilen ... Premise AI- und Data-Plattform zur Unterstutzung von Data-Science- und KI-Projekten.

Trulioo

Junior Data Platform Engineer

San Diego, CA · On-site

$90K - $110K/yr

Position Summary We're looking for a Junior Data Platform Engineer who's eager to grow their skills in building data pipelines, modeling complex information, and applying machine learning to improve ...

Cox Automotive

Entry Level Data Engineer

Norcross, GA

$67K - $100K/yr

Enterprise Platforms - Data & Analytics, Data Engineer I Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates ...

Cox Automotive

Entry Level Data Engineer

Brookhaven, GA

$67K - $100K/yr

Enterprise Platforms - Data & Analytics, Data Engineer I Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates ...

Cox Automotive

Entry Level Data Engineer

Decatur, GA

$67K - $100K/yr

Enterprise Platforms - Data & Analytics, Data Engineer I Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates ...

Cox Automotive

Entry Level Data Engineer

East Point, GA

$67K - $100K/yr

Enterprise Platforms - Data & Analytics, Data Engineer I Cox Automotive is seeking a motivated Data Engineer I to join our Data & Analytics team. This entry-level role is ideal for recent graduates ...

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Showing results 1-20

All JobsEntry Level Data Platform Engineer Jobs

Entry Level Data Platform Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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

As of Jun 21, 2026, the average yearly pay for entry level data platform 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 is the difference between Entry Level Data Platform Engineer vs Data Analyst?

AspectEntry Level Data Platform EngineerData Analyst
Required CredentialsBachelor's in CS, Data Science, or related field; knowledge of SQL, cloud platformsBachelor's in Statistics, Math, or related; proficiency in Excel, SQL, data visualization tools
Work EnvironmentDeveloping and maintaining data infrastructure, working with data engineers and cloud servicesAnalyzing data sets, creating reports, and visualizations for business insights
Employer & Industry UsageTech companies, data-driven organizations, cloud service providersMarketing, finance, healthcare, and other industries requiring data insights

While both roles involve working with data, Entry Level Data Platform Engineers focus on building and maintaining data infrastructure, whereas Data Analysts interpret data to generate insights. The roles often overlap in skills like SQL but differ in responsibilities and work environment.

What cities are hiring for Entry Level Data Platform Engineer jobs? Cities with the most Entry Level Data Platform Engineer job openings:
What are the most commonly searched types of Data Platform Engineer jobs? The most popular types of Data Platform Engineer jobs are:
What states have the most Entry Level Data Platform Engineer jobs? States with the most job openings for Entry Level Data Platform Engineer jobs include:
Entry Level Data Platform Engineer jobs near you
Data Platform Engineer

Data Platform Engineer

Tailored Talent

San Francisco, CA

$134K - $162K/yr

Other

Posted yesterday

Job description

Job Description Job Description You know how every investment team says, "data is everything". At this firm, that's not a talking point. It's literally the job.

You'd be the person making sure the data layer actually works. This is a hands-on engineering seat at a technology-driven investment firm in San Francisco. You'll own the plumbing: the pipelines, the schemas, the infrastructure that the entire research and investing operation runs on top of.

Think of it as building the engine room for a ship full of quant researchers and data scientists who need clean, fast, reliable data to do their work. Day to day, you'll be designing ingestion pipelines that pull from a variety of third-party sources, wrangling both structured and messy unstructured datasets, and shipping features that make internal teams faster and more productive. You'll sit at the intersection of engineering and research, part builder, part thought partner.

One week, you might be rearchitecting a schema with a data scientist. The next time you're debugging a production pipeline or evaluating a new orchestration tool. The stack is modern and opinionated: Python, SQL, Trino, Apache Iceberg, Polars, Spark, Dagster, and Ray all make appearances depending on the problem.

You won't be stuck maintaining legacy systems. There's real greenfield work here. This is a five-day in-office role in San Francisco.

They want someone who's physically present and embedded with the team. Qualifications: What matters most is that you've actually built and shipped data systems end-to-end, not just written specs or maintained someone else's work. You should be comfortable in Python and SQL, have real experience standing up ingestion pipelines from multiple data sources, and know your way around relational databases like PostgreSQL.

You need to be someone who communicates well with non-engineers. You'll be working directly with data scientists, researchers, and product managers, so if you prefer to stay heads down in a terminal with no cross-functional interaction, this isn't the right fit. Nice-to-haves that will put you ahead: cloud infrastructure chops (AWS, S3), familiarity with streaming or messaging tools like Kafka or gRPC, experience with container orchestration (Kubernetes), and any exposure to distributed computing frameworks like Ray.

Bonus points if you've done this kind of work in or around financial services, quant research, or trading. Why This is a Great Opportunity This is a chance to join a technology-first investment firm where engineering isn't a support function. It's central to the business.

You'd be building foundational data infrastructure that directly powers research and investment decisions. The stack is modern, the team is lean, and there's genuine ownership over what you build. Strong comp and a collaborative, high-caliber team.

San Francisco-based with a tight-knit office culture.

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