Senior Data Engineer

Senior Data Engineer

Posted 2 days ago by 1761373327

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Negotiable
Outside
Remote
USA
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Airflow Amazon Web Services (AWS) Apache Airflow Application Programming Interface (API) Automation AWS Lambda Data Engineering Data Extraction Data Infrastructure Data Ingestion Data Integrity Data Warehousing Extract Transform Load (ETL) Python (Programming Language) Snowflake (Data Warehouse) SQL (Programming Language) Workflow Automation Workflows

Summary: The Senior Data Engineer role involves developing and maintaining data ingestion pipelines, focusing on scalable infrastructure and data integrity. The position requires hands-on expertise in Snowflake, SQL, and Python, along with experience in AWS services and ETL/ELT processes. The role is remote with quarterly travel for PI planning and is classified as outside IR35. This is a 6-month contract-to-hire position.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Python and SQL.
  • Maintain and optimize Snowflake data warehouse performance.
  • Extract data from APIs using Python and AWS Lambda.
  • Automate workflows with AWS Airflow.
  • Collaborate with data engineers and architects to develop or optimize pipelines.
  • Maintain code through CI/CD processes in Azure DevOps.

Key Skills:

  • Snowflake, SQL, Python
  • AWS services: Lambda, Airflow, Glue, S3, SNS
  • ETL/ELT processes and data ingestion pipelines
  • Experience with Fivetran & DBT is a plus
  • Strong problem-solving and communication skills

Salary (Rate): undetermined

City: undetermined

Country: USA

Working Arrangements: remote

IR35 Status: outside IR35

Seniority Level: undetermined

Industry: IT

Job Title : Senior Data Engineer

Location: Remote ( CST or EST ) w / quarterly travel for PI planning Duration: 6 - month contract-to-hire
Pay Rate - $65 per hour on W2 with no benefits
Need - / USC
We are looking for a hands - on Senior Data Engineer with expertise in developing data ingestion pipelines. This role should be crucial in designing, building, & maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, & optimizing performance.

Key skills must include strong Snowflake expertise, advanced SQL proficiency, data extraction from APIs using Python & AWS Lambda, & experience with ETL / ELT processes. Workflow automation using AWS Airflow is essential, & experience with Fivetran & DBT is a plus.

Key Responsibilities:

  • Design, build, and maintain scalable data pipelines using Python and SQL.

  • Maintain and optimize Snowflake data warehouse performance.

  • Extract data from APIs using Python and AWS Lambda.

  • Automate workflows with AWS Airflow.

  • Collaborate with data engineers and architects to develop or optimize pipelines.

  • Maintain code through CI/CD processes in Azure DevOps.

Key Skills:

  • Snowflake, SQL, Python

  • AWS services: Lambda, Airflow, Glue, S3, SNS

  • ETL/ELT processes and data ingestion pipelines

  • Experience with Fivetran & DBT is a plus

  • Strong problem-solving and communication skills

Qualifications:

  • 8+ years of experience in data engineering roles

  • Hands-on experience building and implementing scalable pipelines

  • Highly self-motivated and detail-oriented

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