Develop advanced, dimensional models, calculations, hierarchies, and reusable business logic; develop and optimize Snowflake SQL supporting portfolio, position, transaction, security, benchmark, performance, and risk datasets; optimize Power BI solutions for performance, scalability, usability, and maintainability; troubleshoot complex reporting, data, semantic model, refresh, and performance issues; develop testing, reconciliation, monitoring, and data quality controls; support source control, automated deployment, and CI/CD practices for business intelligence solutions.
Responsibilities
Develop advanced, dimensional models, calculations, hierarchies, and reusable business logic.
Develop and optimize Snowflake SQL supporting portfolio, position, transaction, security, benchmark, performance, and risk datasets.
Optimize Power BI solutions for performance, scalability, usability, and maintainability.
Troubleshoot complex reporting, data, semantic model, refresh, and performance issues.
Develop testing, reconciliation, monitoring, and data quality controls to ensure reporting accuracy and reliability.
We are looking for a Senior Data Engineer with 4 to 5 years of experience to build data pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake.
Responsibilities
Build ingestion pipelines from finance source systems using Azure Data Factory, change data capture, and API and event-driven feeds
Develop transformations in Databricks across the Bronze, Silver and Gold layers using PySpark and Spark SQL
Build conformed dimensions and fact tables to the agreed data model
Load certified Gold data into Snowflake and build the views used by reporting teams
Add data quality, reconciliation and logging checks to pipelines
Lead a team of data engineers building ingestion and transformation pipelines for an enterprise finance data platform on Azure, Databricks and Snowflake.
Responsibilities
Lead a team of data engineers building ingestion and transformation pipelines
Deliver ingestion from finance source systems using change data capture, Azure Data Factory batch loads, API and event-driven feeds, and governed manual uploads
Build the Bronze, Silver and Gold layers in Databricks, including conformed dimensions and Gold data domains
Build Gold data domains for financial control, FP&A, tax, recharges and project accounting with the Data Architect
Publish certified data products from Databricks to Snowflake for reporting and analysis
We are looking for an experienced Datastage developer with strong expertise in Datastage, SQL and Unix to design, develop, and test DataStage components.
Responsibilities
Independently design, develop, and test DataStage components, ensuring alignment with acceptance criteria and software craftsmanship principles
Deliver across all phases of the Software Development Life Cycle (SDLC) in line with Agile practices
Manage production deployments and provide post‑production support
Collaborate with cross-functional teams to define and implement data pipelines
Ensure timely and effective communication with counterparts, stakeholders, and partners
This is a remote position.
Senior Data Engineer
Location: Eden Prairie, MN (100% Remote)
Employment Type: W2 Contract
Interview Process: Video Interview
Max Rate:$27/hr W2
Job Overview
We are seeking an experienced Senior Data Engineer with strong expertise in enterprise data warehousing, Azure Data Factory, Databricks, Snowflake, and healthcare data integration. The ideal candidate will have extensive hands-on experience developing ETL pipelines, designing data warehouse solutions, processing structured and unstructured data, and working with healthcare interoperability standards such as HL7 and FHIR.
Required Qualifications
8+ years of experience in Data Engineering, with a strong focus on data warehousing.
5+ years of hands-on experience with Azure Data Factory (ADF) and Databricks.
5+ years of ETL experience using Informatica PowerCenter, SSIS, or Azure Data Factory.
5+ years of experience with Oracle, Snowflake, or SQL Server.
5+ years of experience developing stored procedures using PL/SQL, T-SQL, or Snowflake SQL.
3+ years of Python programming experience.
3+ years of experience with Azure DevOps, GitHub, or SVN.
2+ years of experience working with structured and unstructured data.
Hands-on experience processing HL7 and FHIR files.
3+ years of experience preparing ETL specifications based on business and technical requirements.
3+ years of experience with batch scripting or PowerShell.
3+ years of experience in data warehouse modeling.
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
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