Remote Junior Data Engineer: Cloud Pipelines & Growth

Nix; Boston (MA); Hybrid; USD 85,000 - 120,000; Full time

Benefits offered by this job

Flexible working format - remote or in

Competitive salary

Career growth

Mentorship program

Education reimbursement

Team events

Job summary

N-iX is seeking a Junior Data Engineer to join a data-focused team on a 6-month engagement, with a chance to advance into ongoing data solutions. You will work with Azure, Databricks, PySpark, and Snowflake to support pipelines and analytics.

The role targets engineers with 1–2 years of experience eager to deepen cloud data skills. Responsibilities include monitoring pipelines, data ingestion, schema checks, testing, and operational support, under senior team guidance.

Qualifications

• 1–2 years of professional experience in Data Engineering, ETL/ELT development, Analytics Engineering, or Data Support roles.
• Good working knowledge of Python and SQL.
• Understanding of data pipelines, data transformations, batch processing, and ETL/ELT concepts.
• Familiarity with relational databases and data warehouse concepts.
• Experience with API integrations and file-based data processing (CSV, Parquet, etc.).
• Hands-on experience with Git, version control workflows, pull requests, and code reviews.
• Understanding of data quality principles, including validation, reconciliation, schema checks, and error handling.
• Ability to analyze logs, troubleshoot issues, and communicate findings clearly.
• Strong analytical and problem-solving skills.
• Intermediate or higher English level.

Responsibilities

• Monitor and support scheduled and event-driven data pipelines, data processing jobs, reporting refreshes, and data quality checks.
• Execute standard data ingestion and refresh activities from multiple sources, including APIs, CSV files, syndicated datasets, and configuration inputs.
• Implement Python, PySpark, and SQL changes, including filters, transformations, mappings, validation rules, and minor pipeline enhancements.
• Perform schema validation, reconciliation checks, regression testing, and source-to-target data verification.
• Investigate pipeline failures, validation issues, missing data, rejected files, and reporting discrepancies.
• Troubleshoot first-line operational incidents using logs, job outputs, and monitoring tools.
• Escalate complex technical or business-data issues with clear diagnostic information and supporting evidence.
• Maintain technical documentation, deployment notes, runbooks, configuration files, and operational records.
• Follow Git workflows, pull requests, code reviews, testing, and deployment procedures.
• Support onboarding of new data sources and contribute to continuous improvement initiatives.

Skills

Python

SQL

ETL/ELT

Data pipelines

Git

English (intermediate)

Tools

Git

Job description

N-iX is seeking a Junior Data Engineer to join a data-focused team on a 6-month engagement, with a chance to advance into ongoing data solutions. You will work with Azure, Databricks, PySpark, and Snowflake to support pipelines and analytics.

The role targets engineers with 1–2 years of experience eager to deepen cloud data skills. Responsibilities include monitoring pipelines, data ingestion, schema checks, testing, and operational support, under senior team guidance.