Insight Global is looking for an experienced Senior Data Engineer with 10+ years of expertise in data engineering, cloud technologies, and database solutions. The ideal candidate will have a strong background in designing, building, and optimizing data pipelines, integrating cloud-based solutions, and leading data initiatives that support business intelligence and analytics.
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
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10+ years of experience in SQL Server (2016 and above), including database design, query optimization, and stored procedures.
Extensive experience in ETL development using SSIS (2015, 2019) and Azure Data Factory.
Strong expertise in Azure (Data Factory, Synapse, Databricks), AWS, and GCP.
Proficiency in Python for data processing, automation, and scripting.
Hands-on experience with data warehousing and data modeling (dimensional and relational).
Experience integrating data with REST APIs, SOAP, and RPC-based services.
Advanced skills in database performance tuning, indexing strategies, and query optimization.
Experience working with source control tools (Git) and CI/CD pipelines for automated deployments.
Strong understanding of data security, governance, and compliance best practices.
Experience with big data technologies (Databricks, Spark, Snowflake, Synapse Analytics).
Familiarity with containerization (Docker, Kubernetes) for data pipeline deployment.
Knowledge of real-time data streaming.
Experience in ML and AI-driven data processing is a plus.
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.