Data Engineer

HiredBuddy

Boston, MA0–2 yrs1h agovia LinkedIn

About the Role

Hiredbuddy is seeking an entry-level Data Engineer to join our remote team. This role is ideal for recent graduates or early-career professionals passionate about building robust data infrastructure and supporting data-driven initiatives. You will work closely with senior engineers, data scientists, and business analysts, gaining hands-on experience with modern data engineering tools and cloud platforms.

Key Responsibilities

  • Build and maintain ETL/ELT processes
  • Write and optimize SQL queries
  • Develop Python scripts for data cleaning and transformation
  • Design and maintain data schemas
  • Assist with the implementation of data quality checks
  • Document pipeline logic and data lineage
  • Collaborate with cross-functional teams to understand data requirements
  • Assist in building and maintaining data pipelines
  • Ensure data quality
  • Support analytics initiatives
  • Contribute to the maintenance of our data warehouse
  • Participate in code reviews
  • Collaborate on data modeling decisions
  • Help optimize pipeline performance
  • Troubleshoot issues
  • Monitor data quality
  • Implement best practices for data governance and security

Requirements & Tech Stack

  • Proficiency in SQL (writing complex queries, joins, aggregations)
  • Basic to intermediate Python programming skills
  • Understanding of data structures, algorithms, and database concepts
  • Familiarity with version control (Git) and command-line tools
  • Cloud platforms (AWS, GCP, or Azure) - Nice to have
  • Data warehousing (Snowflake, BigQuery, Redshift) - Nice to have
  • Orchestration tools (Airflow, Luigi, dbt) - Nice to have
  • Apache Airflow - Mentioned for workflow orchestration

Qualifications

  • 0-2 years of experience in data engineering, data analytics, or a related field
  • Strong problem-solving and analytical abilities
  • Excellent communication and teamwork skills
  • Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field (or equivalent practical experience)
  • A strong foundation in SQL and Python is essential
  • A basic understanding of data modeling and database concepts
  • Curiosity, proactivity, and eagerness to learn
  • A problem-solving mindset and willingness to take ownership of your work

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