Data Engineer

Job Description

Insight Global is seeking a Data Engineer to support one of our largest financial clients in Charlotte, NC. The Data Engineer will help design, build, and maintain a centralized performance and analytics repository that integrates data from multiple technology platforms and operational systems. This role is responsible for developing scalable data pipelines, transforming and validating complex datasets, and creating reusable data structures that support reporting, analytics, and operational decision-making. Working closely with architects, product owners, engineers, and analytics teams, this individual will help deliver high-quality data solutions that enable dashboards, reports, and visualizations. The ideal candidate combines strong data engineering fundamentals with experience building data models, optimizing databases, and supporting data-driven insights.

Additional responsibilities include:

· Design, develop, and maintain data ingestion and transformation pipelines.

· Integrate data from multiple platforms, databases, APIs, and operational systems.

· Create and maintain data models, schemas, tables, views, and collections.

· Build and optimize solutions using PostgreSQL, MongoDB, or similar databases.

· Develop processes that ensure data quality, accuracy, consistency, and reliability.

· Transform raw and semi-structured data into curated, analytics-ready datasets.

· Partner with stakeholders to define data requirements and technical solutions.

· Support dashboard, reporting, and visualization initiatives by providing optimized datasets.

· Troubleshoot data issues, identify root causes, and implement corrective actions.

· Participate in testing, code reviews, deployment activities, and production support.

· Document data flows, transformations, and technical solutions.

· Contribute to Agile planning, estimation, and delivery activities.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on click.appcast.io learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

· 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 database technologies.

· Experience with MongoDB or other NoSQL database platforms.

Experience working on Big Data Technologies, such as Hadoop and Teradata

· Proficiency in Python, Java, Spark, or similar data processing technologies.

· Experience building and maintaining automated data pipelines.

· Knowledge of data modeling, schema design, and data warehouse concepts.

· Experience implementing data quality controls and validation processes.

· Familiarity with REST APIs, file-based ingestion, and system integrations.

· Experience working with large-scale operational or analytical datasets.

· Understanding of performance tuning, indexing, and query optimization. · Experience supporting dashboards and reporting platforms such as Grafana, Tableau, or Power BI.

• Cloudera Admin / Dev Certification

• Certification in Cloud, Docker-Container, Openshift Technologies