Data Ingestion Engineer

In this role, you will be instrumental in implementing the enterprise data strategy for the data mesh architecture as part of the Chief Data Management office. You will be the subject matter expert on integration platforms that support movement of data across the enterprise, commercial and IoT sources and drive automation of both platform and integration governance. You will lead research into exploring and enabling the right toolset for the Hybrid integration platform and enabling democratized agile integration across the organization. You will also enable the team to rapidly experiment and iterate on strategies, helping drive critical decisions on how we shape the product and services provided by integration services.

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 HR@insightglobal.com .

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Required Skills & Experience

6-8 years of data engineering experience focusing on modern data management practices and contemporary toolsets
Experience with ADF (Azure Data Factory)
Experience with Python, SQL scripting
Experience with Fivetran or HVR
Experience in creating data pipelines using traditional and modern data integration technologies, including ETL/ELT, data replication/CDC, streaming, message-oriented data movement and API-based data acquisition leveraging cloud native tool-set.
Experience working in a Snowflake environment
Experience with Azure Service Bus, Apache Nifi or Apache Kafka is highly preferred

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.