Data Engineering Intern

Loka, Inc; United States; Remote; USD 134,000 - 201,000; Full time

Benefits offered by this job

Every other Friday off

Remote and flexible

Paid sick days and local holidays

Fitness subscription

Job summary

Loka, Inc is seeking a Data Engineering Intern to design, build and optimize data pipelines while contributing to ETL, data lakes and warehouses. You will work with English-proficient teams across our remote, globally distributed organization and gain hands-on experience with Python, SQL and data tooling.

You will collaborate with certified specialists and PhDs, building a portfolio and launching real projects that impact clients.

Qualifications

• Proficient in English.
• Basic knowledge of Python and data libraries.
• Basic knowledge of SQL and database engines.
• Experience visualizing and manipulating datasets.
• Strong problem solving skills.
• Bonus: AWS, Spark, Airflow, data lakes/warehouses, Git.

Responsibilities

• Assist in designing, developing and maintaining data pipelines for clean, timely data.
• Collaborate with the team to implement and optimize ETL pipelines.
• Integrate data from various sources into warehouses, data lakes and lakehouses.
• Support data management tasks, including data cleaning, validation and transformation.
• Develop data models aligned with business goals and metrics to track progress.
• Participate in client communications by gathering requirements and delivering results.
• Explore and visualize data while spotting data quality issues and distribution differences.
• Identify data quality issues and opportunities to improve the codebase.

Skills

English proficiency

Python

SQL

Data visualization

Data manipulation

Problem solving

Tools

PySpark

Airflow

AWS

Git

Data Lakes

Data Warehouses

Job description

Duration: Three months
Format: Full time (40 hrs/week), paid

In the last year at Loka, our teams launched almost 200 GenAI projects for companies of all kinds, including the world's number 1 GenAI reading tutor, a startup that transforms homes into batteries and a leading cancer fighting laboratory. To cap it off, at the end of 2024 Loka was recognized by AWS as Innovation Partner of the Year, outshining 150,000 partners for the title. And we did it all while enjoying every other Friday off.

As a Data Engineering Intern, you'll gain hands on professional experience supporting Loka's certified specialists, technical experts and PhDs, all while elevating your skillset, building a portfolio and launching projects you're proud of.

What You'll Do

• Assist in designing, developing and maintaining data pipelines to ensure clean, reliable and timely data.


• Collaborate with the team to implement and optimize ETL pipelines.


• Integrate data from various sources into warehouses, data lakes and lakehouses.


• Support data management tasks, including data cleaning, validation and transformation.


• Understand business objectives and help develop data models that support them, along with metrics to track progress.


• Participate in client communications by helping gather requirements and communicate deliverables.


• Explore and visualize data with a careful eye for issues that require cleaning, as well as differences in data distribution that may affect performance after deployment.


• Identify data quality issues and opportunities to improve the codebase.

What You'll Bring

Experience & Technical Skills

• Proficient in English.


• Basic knowledge of Python and data libraries.


• Basic knowledge of SQL and database engines.


• Experience visualizing and manipulating datasets.


• Strong problem solving skills.


• Bonus: AWS knowledge, (Py)Spark, Airflow, data lakes and data warehouses, git.

Additional Requirements

• Excellent English, we work entirely in English for meetings, client calls and business communications.


• CV submitted in English.

Personality Profile

• Curious: You're ambitious to learn and grow in different industries using a modern tech stack.


• Autonomous and positive: You excel in a fully remote, globally distributed team.


• Team player: You enjoy a collaborative approach.


• Adaptable: You operate with a startup mindset and move at a startup pace.


• Dependable: You can be trusted to deliver high quality work.

Benefits

• Every other Friday off


• Remote and flexible


• Paid sick days and local holidays


• Fitness subscription

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