Junior Client Data Engineer – Onboarding Focus

Stradaeducation; Washington (District of Columbia); Hybrid; USD 65,000 - 90,000; Full time

Job summary

CredLens, based in Washington, DC, is seeking an Associate Client Data Engineer to focus on client onboarding—receiving and documenting data, cleaning and transforming it for the pipeline, and ensuring high data quality. You will work closely with a small Data Engineering team and gain hands-on experience across the onboarding workflow.

Ideal candidates are early-career, with strong SQL/Python skills, a customer-service mindset, and a passion for reliable data.

Qualifications

• Bachelor's degree in computer science, information systems, data science, or related field or equivalent practical experience (≥2 years).
• Proficiency in SQL and Python for data manipulation and analysis.
• Experience cleaning raw datasets and ensuring data quality.
• Strong customer-service orientation and clear communication with non-technical clients.
• Attention to data quality, validation, and documentation.
• Initiative to learn and improve continuously.

Responsibilities

• Serve as the data engineering point of contact for new clients during onboarding, guiding data provision and format.
• Perform exploratory data analysis to understand data structure, quality, and completeness.
• Identify missing or inconsistent fields and coordinate with clients to resolve them.
• Clean, transform, and validate data to CredLens standards for downstream ingestion.
• Build and run models/transformations moving data through onboarding stages using SQL, Python, DBT, and Airflow.
• Document onboarding processes, data sources, decisions, and exceptions.

Skills

SQL

Python

Data cleaning

Interpersonal skills

Education

Bachelor's degree in CS/IS/DS or related field

Equivalent practical experience (≥2 years)

Tools

Redshift

Snowflake

PostgreSQL

Pandas

DBT

Airflow

AWS S3/Lambda

Job description

CredLens, based in Washington, DC, is seeking an Associate Client Data Engineer to focus on client onboarding—receiving and documenting data, cleaning and transforming it for the pipeline, and ensuring high data quality. You will work closely with a small Data Engineering team and gain hands-on experience across the onboarding workflow.

Ideal candidates are early-career, with strong SQL/Python skills, a customer-service mindset, and a passion for reliable data.