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Internship Data Pipeline Jobs (NOW HIRING)

Robotics Data Pipeline Intern - Multimodal Data About Us At Persona, we're building the next ... This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real ...

Data Pipeline Engineer (Junior - Mid)

Arlington, VA · On-site +1

$131K - $158K/yr

Data Pipeline Engineer (Junior - Mid) Location: Washington D.C. Area / Remote Employment Type ... internship, lab, or academic project experience considered) * Scripting ability in Python (or a ...

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Big Data Engineer

New York, NY · On-site

$30 - $40/hr

... internship or project experience in data engineering, computer science, or related fields. Key Responsibilities * Assist in developing and maintaining ETL/ELT data pipelines. * Collect, clean ...

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Data Engineer I

Boston, MA · On-site

$124K - $149K/yr

Coursework, internship, project, or professional exposure to data modeling concepts. * Exposure to the US healthcare system, health systems, or payers. * Knowledge of data pipeline concepts and basic ...

... talent pipeline!** Internship Experience: If you thrive in a fast-paced, client-focused team ... economic data to create investment narratives for debt and equity evaluations? What Does Our ...

Associate Data Engineer

Kansas City, KS

$110K - $132K/yr

You will work with healthcare data pipelines, learn production data systems, and contribute to ... Previous internship or project experience in data engineering or analytics * Familiarity with value ...

... talent pipeline!** Internship Experience: If you thrive in a fast-paced, client-focused team ... economic data to create investment narratives for debt and equity evaluations? What Does Our ...

Data Engineer II, Intl. Seller Services

Seattle, WA · On-site

$130K - $156K/yr

... L pipelines - 1+ years developing and operating large-scale data structures for business ... non internship data engineering experience PREFERRED QUALIFICATIONS - Experience with AWS ...

Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

Building simple data pipelines or analysis scripts in Python * Excel & analysis skills * You are ... Prior internship or project experience in data analysis, business intelligence, or marketing ...

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Internship Data Pipeline information

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How much do internship data pipeline jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for internship data pipeline in the United States is $22.50, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $24.52 per hour, depending on experience, location, and employer.

What types of projects can I expect to work on as a Data Pipeline Intern?

As a Data Pipeline Intern, you can expect to assist with designing, building, and maintaining the flow of data between systems. Your daily tasks may include cleaning and transforming raw data, automating data collection processes, and supporting the integration of new data sources. You’ll often collaborate with data engineers, analysts, and software developers to ensure reliable and scalable data pipelines. These hands-on projects provide valuable experience with tools such as SQL, Python, and cloud-based data platforms, and can serve as a strong foundation for a future career in data engineering or analytics.

What are the key skills and qualifications needed to thrive as an Internship Data Pipeline, and why are they important?

To thrive in an Internship Data Pipeline role, you need foundational skills in programming (such as Python or SQL), data analysis, and a background in computer science or a related field. Familiarity with ETL tools, cloud platforms like AWS or Google Cloud, and version control systems such as Git is typically required. Strong problem-solving abilities, attention to detail, and effective communication help interns stand out in collaborative and technical environments. These skills are crucial for ensuring accurate data processing, smooth collaboration with teams, and successful project outcomes.

What is an Internship Data Pipeline?

An Internship Data Pipeline typically refers to a structured process or set of tools used by interns to collect, process, and manage data from various sources. In a technical role, this often involves learning to build systems that automate data extraction, transformation, and loading (ETL) tasks. Interns may work with programming languages like Python or SQL and use cloud platforms or data engineering tools to help prepare data for analysis. This experience provides valuable hands-on skills in data management and engineering.
More about Internship Data Pipeline jobs
What cities are hiring for Internship Data Pipeline jobs? Cities with the most Internship Data Pipeline job openings:
What are the most commonly searched types of Data Pipeline jobs? The most popular types of Data Pipeline jobs are:
What states have the most Internship Data Pipeline jobs? States with the most job openings for Internship Data Pipeline jobs include:
Infographic showing various Internship Data Pipeline job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 10% Part Time, and 9% Contract. Highlights an 81% Physical, 3% Hybrid, and 16% Remote job distribution, with an average salary of $46,809 per year, or $22.5 per hour.

Robotics Data Pipeline Intern

Persona AI

Pensacola, FL • On-site

Full-time

Re-posted 18 days ago


Job description

Robotics Data Pipeline Intern - Multimodal Data
About Us At Persona, we're building the next generation of humanoid robots, and that requires an unprecedented volume of high-quality, multimodal data. We're moving beyond basic teleoperation to leverage massive datasets of in-the-wild egocentric video combined with dense sensor streams (IMU, haptics, kinematics, and high-fidelity force profiles). We're looking for a curious, technically sharp intern to roll up their sleeves and help us turn raw, unstructured multimodal data into high-fidelity training assets for our robots.
The Role As a Data Pipeline Intern, you'll work directly alongside our data and robotics engineering teams to support the infrastructure that feeds our foundation models. You'll get hands-on experience with real multimodal data challenges, from sensor stream processing and video pipeline optimization to force analysis and kinematic retargeting. This is not a "fetch coffee and shadow engineers" internship. You'll own real work and ship real code.
What You'll Work On
  • Rebuilding and extending pipelines that ingest and synchronously process egocentric video alongside rich sensor streams (IMU, force-torque, tactile, proprioception)
  • Owning post-processing algorithms for force analysis and hidden state inference, including contact force estimation, occlusion handling, and inverse kinematics gap-filling
  • Bridging kinematic retargeting work that translates human hand tracking into humanoid end-effector coordinates
  • Optimizing and testing data augmentation strategies (spatial, temporal, synthetic viewpoints, sensor noise injection)
  • Tying together work across our Hardware Teleoperation Team to help align human-robot play-data across modalities

What We're Looking For
  • Currently pursuing a B.S., M.S., or Ph.D. in Computer Science, Data Engineering, Machine Learning, Robotics, or a related field
  • Solid Python skills and exposure to PyTorch, particularly around data loading or multimodal datasets
  • Coursework or project experience with computer vision, time-series data, or sensor processing
  • Familiarity with video processing tools (OpenCV, FFmpeg) or pose estimation frameworks (MediaPipe) is a plus
  • Awareness of imitation learning, VLA architectures, or human-to-robot transfer concepts is a plus, but genuine curiosity counts for a lot here

Bonus Points
  • Experience with NVIDIA's robotics stack (Isaac, Cosmos, GR00T)
  • Exposure to distributed computing (Ray, Spark) or simulation environments (Omniverse, MuJoCo)
  • Any project work involving synthetic data generation or tactile/spatial data representations