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DataEdge Consulting, Inc.

DataEdge Consulting, Inc.

via Dice

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Sr. Data Engineer (Snowflake, AWS Lambda & Airflow)

Anywhere
Contract
Posted 1/6/2026
Verified Source
Key Skills:
Snowflake
SQL
Python
AWS Lambda
ETL/ELT
Airflow

Compensation

Salary Range

$NaNK - NaNK a year

Responsibilities

Design, build, and maintain scalable data pipelines and optimize data warehouse performance.

Requirements

7+ years in data engineering, expertise in Snowflake, SQL, Python, AWS services, and experience with ETL/ELT processes.

Full Description

Sr. Data Engineer Remote (working CST or EST) and able to travel quarterly for PI planning 6 months contract-to-hire Candidate resume should be 2 pages max Video recorded technical screening is required Job Summary Our fortune 500 food industry client is looking for a hands-on Senior Data Engineer with expertise in developing data ingestion pipelines. This role is crucial in designing, building, and maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, and optimizing performance. Key skills include Strong Snowflake expertise Advanced SQL proficiency Data extraction from APIs using Python and AWS Lambda Experience with ETL/ELT processes Workflow automation using AWS Airflow is essential, and Experience with Fivetran and DBT is a plus. Job Responsibilities • Design, build, test, and implement scalable data pipelines using Python and SQL. • Maintain and optimize our Snowflake data warehouse s performance, including data ingestion and query optimization. • Extract data from APIs using Python and AWS Lambda and automate workflows with AWS Airflow. • Perform analysis and critical thinking to troubleshoot data-related issues and implement checks/scripts to enhance data quality. • Collaborate with other data engineers and architect to develop new pipelines and/or optimize existing ones. • Maintain code via CI/CD processes as defined in our Azure DevOps platform. Job Qualifications • 7+ years of experience in Data Engineering roles, with a focus on building and implementing scalable data pipelines for data ingestion. • Expertise in Snowflake, including data ingestion and performance optimization. • Strong SQL skills for writing efficient queries and optimizing existing ones. • Proficiency in Python for data extraction from APIs using AWS Lambda, Glue, etc. • Experience with AWS services such as Lambda, Airflow, Glue, S3, SNS, etc. • Highly self-motivated and detail-oriented with strong communication skills. • Familiarity with ETL/ELT processes. • Experience with Fivetran and DBT is a plus.

This job posting was last updated on 1/8/2026

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