Sr. Data Engineer

Staffxpert Llc
Chicago, United States of America
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 104K

Job location

Remote
Chicago, United States of America

Tech stack

Artificial Intelligence
Airflow
Business Analytics Applications
Data analysis
Code Review
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Integration
ETL
Data Warehousing
Python
Performance Tuning
Standard Sql
SQL Databases
Data Processing
Delivery Pipeline
Snowflake
GIT
Data Layers
Software Coding
Software Version Control
Data Pipelines

Job description

STAFFXPERT is seeking a highly skilled and motivated Sr. Data Engineer to join the Analytics Engineering team. This role will be responsible for designing, building, and maintaining scalable data pipelines and analytics solutions while contributing to the development of a semantic data layer, modern data products, and AI-driven solutions that support business growth and enhance customer experiences. Key Responsibilities

  • Design, develop, and deploy scalable and robust data pipelines for seamless data integration and processing.
  • Build and maintain enterprise-grade ETL/ELT frameworks, reusable libraries, and data processing solutions.
  • Develop and optimize data models, semantic layers, and curated data products.
  • Implement analytics engineering best practices, including coding standards, data governance, quality assurance, automation, and performance optimization.
  • Participate in code reviews and contribute to continuous improvement of engineering standards and methodologies.
  • Monitor, troubleshoot, and maintain data pipelines to ensure reliability, availability, and performance.
  • Design and implement CI/CD pipelines to streamline deployment, testing, and maintenance processes.
  • Collaborate with Data Scientists, Analysts, Product Managers, Engineers, and Business Stakeholders to translate business requirements into scalable technical solutions.
  • Communicate complex technical concepts effectively to both technical and non-technical stakeholders.
  • Support Advanced Analytics, Business Intelligence, and AI initiatives through high-quality data engineering solutions., As a Data Engineer, you will be instrumental in designing and optimizing robust ETL pipelines and data workflows. This expert-level, remote position is ideal for professionals who …
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Requirements

  • 10+ years of professional experience in Data Engineering, Analytics Engineering, or related fields.

  • Strong hands-on experience with:

  • SQL

  • Python

  • dbt

  • Snowflake

  • Apache Airflow

  • Git / Version Control Systems

  • Proven experience designing and building scalable data pipelines and modern data architectures.

  • Strong expertise in ETL/ELT development and data integration from multiple enterprise data sources.

  • Deep understanding of data warehousing concepts and data modeling techniques.

  • Experience with CI/CD tools and deployment workflows.

  • Strong knowledge of data governance, data quality, and performance optimization.

  • Excellent analytical, troubleshooting, and problem-solving skills.

  • Ability to work effectively in a collaborative and fast-paced environment.

  • Experience supporting Business Intelligence, Data Science, Advanced Analytics, or AI/ML initiatives.

Mandatory Screening Criteria

  • Minimum 10+ years of experience.
  • LinkedIn profile must be verified using a work email.
  • Strong recent experience with Snowflake, dbt, Python, SQL, and Airflow is required.

Apply for this position