Data Engineer

We are seeking a Data Engineer to support the modernization of a growing organization’s data ecosystem. This is a growth-driven opportunity within a stable, long-standing company that is investing heavily in its data platforms, cloud technologies, and analytics capabilities.

If you have experience building modern data pipelines and enjoy working with technologies such as Databricks, Synapse, Azure Data Factory, Delta Lake, and Spark, this role offers the chance to make a meaningful impact.

This is a direct hire opportunity and are unable to work with 3rd parties or provide visa sponsorship

.
This role is a Hybrid opportunity and requires in office work 2 days/wee

k.
Position Overv

iewThe Data Engineer will help design, build, and maintain the organization’s Azure-based data lake and data warehouse environment. This role partners closely with analytics, actuarial, and business teams to ensure the delivery of clean, consistent, and reliable data. The position reports to the Director of Data and Analytics and operates within an agile development environme

nt.
Key Responsibili

• tiesDesign, develop, and maintain scalable batch and real-time data pipelines in Az
• ure.Build and support data models that serve as the source of truth for enterprise reporting and analyt
• ics.Collaborate with analytics, actuarial, and business stakeholders to provide clean and consistent data s
• ets.Identify data needs and develop business intelligence solutions to support decision-mak
• ing.Perform data analysis, data quality testing, and ETL aud
• its.Troubleshoot data issues and ensure data integrity across the ecosys
• tem.Create and maintain technical documentat
• ion.Conduct code reviews and follow engineering best practi
• ces.Support continuous integration and deployment using Azure DevOps and
• Git.Drive process improvements, such as automating manual workflows and optimizing data deliv
• ery.Ensure adherence to data security, governance, and privacy standa

rds.
Qualifica

tionsExperience and Sk

• ills:3 years of data engineering or related experi
• ence.Experience with Azure Databricks, Synapse Analytics, Azure Data Factory, Delta Lake, Parquet, and Spark
• SQL.Strong understanding of data lakes, data warehousing, and dimensional mode
• ling.Experience building and maintaining production data pipelines, ETL processes, or datab
• ases.Proficiency with SQL; Python, PowerShell, and Spark experience is a
• plus.Experience with BI tools such as Power BI, Tableau, or
• Qlik.Familiarity with Microsoft BI tools (SSIS, SSRS, S
• SAS).Strong communication skills and ability to collaborate with technical and business stakehol
• ders.Experience working in an agile development environ

ment.
Hybrid Work

ModelThis position is based in Omaha, Nebraska. Employees are required to be onsite two days per week, with flexibility for remote work on remaining