Data Engineer

Key Responsibilities:



Data Pipeline Development:

Design, build, and maintain scalable data pipelines to process and manage large datasets from various sources.

Ensure data quality, integrity, and reliability throughout the data lifecycle.



Database Management:

Develop and manage databases, data warehouses, and data lakes.

Optimize database performance and ensure data security and compliance.



Data Integration:

Integrate data from multiple sources, including APIs, databases, and external data providers.

Implement ETL (Extract, Transform, Load) processes to ensure seamless data flow.



Collaboration:

Work closely with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.

Collaborate with cross-functional teams to support data-driven projects and initiatives.



5. Data Analysis and Reporting:

- Provide data insights and support data analysis efforts.

- Develop and maintain dashboards and reports to visualize key metrics and trends.



6. Performance Optimization:

- Monitor and improve data pipeline performance and efficiency.

- Implement best practices for data storage, retrieval, and processing.



7. Documentation and Support:

- Document data engineering processes, workflows, and methodologies.

- Provide technical support and troubleshooting for data-related issues.

We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, 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 HR@insightglobal.com. The EEOC "Know Your Rights" Poster is available here.

To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

Required Skillsets:



Technical Skills:

- Proficiency in programming languages such as Python.

- Experience with data processing frameworks like Apache Spark, Hadoop.

- Strong knowledge of SQL.

- Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services.

- Understanding of data warehousing concepts and tools (e.g., Databricks).



Data Management:

- Experience with ETL tools and processes.

- Knowledge of data modeling, data architecture, and data governance.

- Ability to work with large, complex datasets and perform data wrangling.



Analytical and Problem-Solving Skills:

- Strong analytical skills with the ability to troubleshoot and resolve data-related issues.

- Ability to analyze and interpret data to provide actionable insights.



Soft Skills:

- Excellent communication and collaboration skills.

- Strong attention to detail and organizational skills.

- Ability to work independently and as part of a team.

Benefit packages for this role will start on the 31st 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.