Data Engineer II: Build Scalable Pipelines & Analytics

Talentify; Charlotte (NC); On-site; USD 73,000 - 84,000; Full time

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401K

Job summary

Genesis10 is seeking a Data Engineer II for a contract position in Charlotte, NC. You will design, build, and maintain a centralized analytics repository, creating scalable pipelines and data structures to support dashboards and reports.

You will partner with architects, product owners, and analytics teams, ensuring data quality and delivering high-quality data solutions for decision-making. 3+ years of data engineering experience and strong SQL skills are required.

Qualifications

• 3+ years of experience in data engineering, ETL, or data integration roles.
• Strong SQL skills and experience designing relational database solutions.
• Experience with PostgreSQL, SQL Server, or similar databases.
• Experience with NoSQL databases (MongoDB) is a plus.
• Proficiency in Python, Java, Spark, or similar data processing technologies.
• Experience building automated data pipelines and data quality controls.
• Familiarity with REST APIs and system integrations.

Responsibilities

• Design, develop, and maintain data ingestion and transformation pipelines.
• Integrate data from multiple platforms, databases, APIs, and systems.
• Create and maintain data models, schemas, tables, views, and collections.
• Build and optimize solutions using PostgreSQL, MongoDB, or similar databases.
• Transform raw data into analytics-ready datasets and support dashboards.

Skills

SQL

Python

ETL

Data Modeling

Data Quality

CI/CD

Agile

BI Dashboards

Tools

PostgreSQL

SQL Server

MongoDB

Job description

Genesis10 is seeking a Data Engineer II for a contract position in Charlotte, NC. You will design, build, and maintain a centralized analytics repository, creating scalable pipelines and data structures to support dashboards and reports.

You will partner with architects, product owners, and analytics teams, ensuring data quality and delivering high-quality data solutions for decision-making. 3+ years of data engineering experience and strong SQL skills are required.