Senior Data Engineer
$82,000–$120,000 year
Hybrid · Chicago, Illinois, United States
Job Summary
Senior Data Engineer responsible for developing data engineering pipelines and analytic solutions to support Advanced Analytics and Data Science teams. You will partner with stakeholders to translate data needs into engineering and reporting requirements, promote a self-service analytics environment, and Hands-on development of data pipelines, dashboards, reports, and insights for internal partners and external customers. You will collaborate with Analytics, Data Science, and Technology to define best practices, policies, and procedures for data usage; translate complex data engineering requirements from concept through implementation; engage with IT and analytics teams to advance self-service analytics capabilities.
Required Qualifications
- Bachelor’s Degree
- 3+ years of experience building data pipelines using Databricks(SQL and pyspark) and Snowflake
- 3+ years of experience with relational and cloud databases such as SQL Server, Oracle ADW, Snowflake, or Redshift
- Experience with Data Lake and Data Warehousing concepts such as Dimensional modeling
- Experience with components of Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops
- Experience supporting a self‐service dashboarding environment
- Experience with modern analytics tools, technologies, and frameworks
- Nice to have: Experience applying AI functions in production pipelines
- Nice to have: Experience with Azure Data Factory or Informatica
- Nice to have: 3+ years of experience with data visualization tools such as Power BI or Sigma
Desired Qualifications
- Bachelor’s Degree
- 3+ years of experience building data pipelines using Databricks(SQL and pyspark) and Snowflake
- 3+ years of experience with relational and cloud databases such as SQL Server, Oracle ADW, Snowflake, or Redshift
- Experience with Data Lake and Data Warehousing concepts such as Dimensional modeling
- Experience with Microsoft Azure like ADLS, Azure Key Vault and Azure Dev Ops
- Experience supporting a self‐service dashboarding environment
- Experience with modern analytics tools, technologies, and frameworks
- Interest in exploring new and innovative ways to use data
- Nice to have: Experience applying AI functions in production pipelines
- Nice to have: Experience with Azure Data Factory or Informatica
- Nice to have: 3+ years of experience with data visualization tools such as Power BI or Sigma
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