Sr. Data Engineer

Insight Global
Atlanta, United States of America
1 month ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 25K

Job location

Atlanta, United States of America

Tech stack

Big Data
Data Architecture
Information Engineering
ETL
Data Systems
Data Warehousing
DevOps
Python
Performance Tuning
Power BI
SAP Applications
SQL Databases
Tableau
Data Processing
Data Ingestion
Snowflake
GIT
PySpark
Data Management
Data Pipelines

Job description

  • Design and implement scalable, secure, and high-performance data engineering frameworks
  • Build and maintain ETL/ELT pipelines to support data ingestion, transformation, and integration
  • Leverage Snowflake features (Snowpipe, Streams & Tasks, Native Apps) and DBT for building scalable, enterprise-grade data solutions across ingestion, transformation, and orchestration
  • Optimize Synapse SQL Dedicated Pools to enhance BI performance
  • Build data pipelines that seamlessly connect to reporting platforms such as Tableau and Power BI, enabling interactive and timely business insights
  • Ensure data accuracy and integrity through validation checks, lineage tracking, and quality monitoring
  • Tune workflows for performance and cost-efficiency at scale

Requirements

  • 4-7 years of total experience in Data engineering and big data pipeline development
  • Demonstrated experience in Snowflake and DBT
  • Experience with big data processing frameworks and modern data architecture principles
  • Advanced proficiency in SQL, Python, and PySpark for scalable data processing and transformation
  • Hands-on experience in building end-to-end ETL/ELT pipelines using DBT.
  • Strong grasp of data warehousing, lakehouse architecture, and modern analytics on cloud platforms
  • Hands-on experience with large-scale data platforms and performance tuning for high-volume data pipelines
  • Well-versed in DevOps practices, Git, and CI/CD pipelines for automating data engineering workflows
  • Strong understanding of modern data architecture and governance frameworks in a cloud environment

Nice to Have Skills & Experience

  • Proficiency in Tableau and BI tools with experience in building scalable dashboards and optimizing data models
  • Basic knowledge of SAP data models
  • Ability to independently lead and deliver end-to-end data engineering projects with minimal supervision

Benefits & conditions

Pay Rate: $10.00-$14.00 an hour depending on skills and experience, Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.

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