Offer summary

Qualifications:

Bachelor’s degree in Computer Science, Information Technology, or a related field., Experience with data processing frameworks such as Apache Spark or Hadoop., Proficient in SQL and data manipulation languages., Strong programming skills in Python or Scala..

Key responsabilities:

Collaborate with clients to understand data requirements for AI applications.

Extract, transform, and load (ETL) data from various sources.

Cleanse and preprocess data to ensure quality and consistency.

Develop data pipelines to support AI model training and deployment.

Job description

Data Engineer – Applied AI

Location Remote (USA Only)

- MUST be willing to sign an attestation that you are compliant with Immigration and Nationality Act (INA) Section 274A

Position Type Full-time

Job Summary
As a Data Engineer, you will work with customers during the implementation phase to prepare the necessary data for AI applications. Your role will involve data extraction, transformation, and loading (ETL) processes to ensure data readiness.

Responsibilities

Collaborate with clients to understand data requirements for AI applications.

Extract, transform, and load (ETL) data from various sources.
Cleanse and preprocess data to ensure quality and consistency.
Develop data pipelines to support AI model training and deployment.
Ensure data security and compliance with relevant regulations.

Qualifications

Bachelor’s degree in Computer Science, Information Technology, or a related field.
Experience with data processing frameworks (e.g., Apache Spark, Hadoop).
Proficient in SQL and data manipulation languages.
Strong programming skills in Python or Scala.
Experience with data warehousing and ETL processes.

Benefits

401(k)
Paid Time Off (PTO)
Medical/dental/vision insurance
Company paid Life/AD&D and LTD insurance
Voluntary supplemental accident, critical illness, and life insurances
Career pathing/promotion opportunities

Diversity, Equity, and Inclusion
Onshore Outsourcing is committed to an inclusive workplace where everyone is treated with dignity and respect. We do not discriminate on the basis of race, color, national origin, religion, sex, gender, sexual orientation, gender identity, marital or familial status, age, ancestry, disability, veteran status, or any other characteristic protected by applicable laws. We believe in diversity, equity and inclusion and encourage qualified individuals to apply.

Required profile