*Remote Contract-to-Hire Opportunity*

Lighthouse Technology Services is partnering with our client to fill their Senior Data / Analytics Engineer position! This is a 6+ month contract-to-hire opportunity. This role can be remote within the United States, with quarterly travel to Charlotte, NC. This role will be a W2 employee of Lighthouse Technology Services. 

Position Overview

We are looking for a hands-on Senior Data Engineer/Analytics Engineer with expertise in developing data pipelines and transforming data to be consumed downstream. This role is crucial in designing, building, and maintaining our data infrastructure, focusing on creating scalable pipelines, ensuring data integrity, and optimizing performance. 

What You'll Be Doing:

• 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. 
• Design and implement analytical data models using SQL in dbt and Snowflake, focusing on accuracy, performance, and scalability 
• Own and maintain the semantic layer of our data modeling, defining and managing metrics, dimensions, and joins to ensure consistent and accurate reporting across the organization 
• Collaborate with the internal stakeholders to understand their data needs and translate them into effective data models and metrics 
• 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. 

What You'll Need to Have:

• 5+ years of experience in Data Engineering roles, with a focus on building and implementing scalable data pipelines for data ingestion and data transformation. 
• Strong expertise in Snowflake, including data ingestion and performance optimization.
• Strong SQL skills for writing efficient queries and optimizing existing ones.
• Workflow automation using AWS Airflow is essential, and experience with Fivetran and dbt or similar tools are also a must have. 
• Strong experience using ETL software (Fivetran, dbt, Airflow, etc.) 
• 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. 
• Experience with ETL/ELT processes.
• Highly self-motivated and detail-oriented with strong communication skills. 

Pay Range: $84-$89/hr +

Questions about any of our jobs? Email us at [email protected] 

View all of our open jobs here: jobs.lhtservices.com