7 days ago

Junior Data Engineer

Jobs via Dice

Hybrid
Full Time
$90,000
Hybrid

Job Overview

Job TitleJunior Data Engineer
Job TypeFull Time
CategoryCommerce
Experience5 Years
DegreeMaster
Offered Salary$90,000
LocationHybrid

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Job Description

Junior Data Engineer at Aivra Health LLC

We are seeking a motivated and detail-oriented Junior Data Engineer to join our data team at Aivra Health LLC. This role is ideal for entry-level candidates and early-career professionals looking to build scalable data pipelines, support data warehousing solutions, and work with cloud-based big data technologies.

You will collaborate with Senior Data Engineers, Data Scientists, and BI teams to design and maintain reliable data systems that power analytics and machine learning initiatives.

Key Responsibilities

  • Assist in building and maintaining ETL/ELT data pipelines
  • Develop batch and real-time data processing workflows
  • Write optimized SQL queries for data extraction and transformation
  • Support data warehouse and data lake development
  • Ensure data quality, validation, and integrity
  • Monitor and troubleshoot data pipeline issues
  • Work with structured and unstructured datasets
  • Participate in Agile/Scrum ceremonies

Required Qualifications

  • Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or related STEM field
  • 0–2 years of experience (internship or academic projects acceptable)
  • Strong knowledge of SQL and relational databases
  • Basic understanding of data modeling and data warehousing
  • Understanding of Data Structures and Algorithms

Technical Skills (ATS Keywords)

Programming Languages
  • Python
  • SQL
  • Java (preferred)
  • Scala (basic knowledge)
Data Engineering & Big Data Tools
  • Apache Spark
  • PySpark
  • Hadoop (basic knowledge)
  • Apache Airflow
  • Kafka (basic understanding)
Databases & Data Warehousing
  • MySQL
  • PostgreSQL
  • MongoDB
  • Snowflake
  • Amazon Redshift
  • Google BigQuery
Cloud Platforms
  • AWS (S3, Glue, Redshift, EMR)
  • Microsoft Azure (Data Factory, ADLS)
  • Google Cloud Platform (BigQuery, Dataflow)
DevOps & Tools
  • Git
  • Docker (basic knowledge)
  • CI/CD pipelines
  • Linux/Unix
Concepts & Methodologies
  • ETL/ELT Pipelines
  • Data Lake Architecture
  • Data Warehouse Design
  • Batch Processing
  • Real-Time Streaming
  • Agile/Scrum
  • Data Governance

Preferred Qualifications

  • Experience with cloud-based data platforms
  • Exposure to machine learning data pipelines
  • Knowledge of distributed systems fundamentals
  • Strong analytical and problem-solving skills
  • Good communication and teamwork abilities

Compensation & Benefits

  • Competitive salary: $75,000 – $105,000 annually
  • Performance bonuses
  • Health, Dental, and Vision insurance
  • 401(k) with company match
  • Paid Time Off (PTO)
  • H1B transfer & new sponsorship support
  • STEM OPT extension support
  • Career growth opportunities

Equal Opportunity Employer

Aivra Health LLC is an Equal Opportunity Employer and encourages applications from diverse candidates, including international professionals requiring H1B sponsorship or STEM OPT support.

Key skills/competency

  • SQL
  • Python
  • ETL/ELT
  • Data Warehousing
  • Cloud Platforms
  • Big Data
  • Apache Spark
  • Data Pipelines
  • AWS
  • Data Quality

Tags:

Data Engineer
Data Pipelines
ETL
Data Warehousing
Big Data
Cloud Computing
SQL
Python
Apache Spark
AWS
Azure
GCP
Snowflake
Kafka
Git
Data Quality
Real-time Data
Machine Learning
Agile
MongoDB

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How to Get Hired at Jobs via Dice

  • Research Aivra Health LLC's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
  • Tailor your resume for Junior Data Engineer: Highlight SQL, Python, ETL, and cloud platform experience, emphasizing project work.
  • Showcase data engineering projects: Present a portfolio with pipeline development, data warehousing, or big data initiatives.
  • Prepare for technical interviews: Focus on SQL, data structures, algorithms, and specific tools like Apache Spark or AWS.
  • Demonstrate problem-solving abilities: Be ready to discuss how you've tackled data challenges and collaborated effectively.

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