Data Engineer(Data Ingestion)

Overview

Remote
On Site
USD 60-65
Full Time
Part Time
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

SQL QUERIES
PYTHON
AZURE
DATA INGESTION
JAVA
AWS
DATA WAREHOUSING

Job Details

Job Title: Data Engineer(Data Ingestion)

Interview: Virtual

Job Duration: 6+ Months

Job Location: 100% Remote



Note: Only W2 and no sponsorship



Job Summary:

We are looking for a skilled Data Engineer with strong expertise in large-scale data ingestion, orchestration, and cloud-based data platforms. The role involves building reliable pipelines, managing modern data warehouses, and leveraging cloud-native solutions to enable scalable analytics.

Key Responsibilities:

  • Design and implement data ingestion pipelines from diverse sources (tables, files, APIs).
  • Develop and maintain ETL/ELT workflows using orchestration tools such as Airflow, Dagster, ADF, or AWS Glue.
  • Build event-driven solutions with Azure Functions or AWS Lambda.
  • Work with cloud data warehouses like Snowflake or Google BigQuery for data modeling and analytics.
  • Write and optimize Python/Java code and SQL queries for data transformation.
  • Ensure data quality, governance, and performance across pipelines.

Required Skills:

  • Strong experience in cloud data engineering (Azure or AWS).
  • Proficiency with data orchestration frameworks.
  • Hands-on expertise in Snowflake or BigQuery.
  • Advanced Python/Java and SQL skills.
  • Solid understanding of ETL processes and data warehousing concepts.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.