

TekWissen ยฎ
Data Analyst/Modeler II
โญ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Analyst/Modeler II, a 12-month remote contract position with a pay rate of $51.96/hr. Requires 8-12+ years of experience in data engineering, strong skills in Databricks, Spark, SQL, and data integration.
๐ - Country
United States
๐ฑ - Currency
$ USD
-
๐ฐ - Day rate
408
-
๐๏ธ - Date
June 16, 2026
๐ - Duration
More than 6 months
-
๐๏ธ - Location
Remote
-
๐ - Contract
Unknown
-
๐ - Security
Unknown
-
๐ - Location detailed
United States
-
๐ง - Skills detailed
#Security #SQL (Structured Query Language) #Datasets #Scala #"ETL (Extract #Transform #Load)" #Agile #Normalization #PySpark #Data Architecture #Data Modeling #Data Storytelling #Spark (Apache Spark) #Spark SQL #AWS (Amazon Web Services) #Data Lifecycle #Storytelling #Data Engineering #Cloud #Data Integration #Data Normalization #Data Pipeline #Azure #Data Analysis #Databricks
Role description
Job Title: Data Analyst/Modeler II
Location: Remote
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Remote
Pay Rate: $ 51.96-51.96/ Hr
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients is an American telecommunications company headquartered in Monroe, Louisiana, that offers communications, network services, security, cloud solutions, voice, and managed services.
Job Description:
Experience Requirements
โข Typically 8โ12+ years of experience in data engineering, analytics, or data platform development
โข Demonstrated hands-on experience working with Databricks / Spark-based data platforms
โข Proven experience delivering complex, multi-source data integration and reporting solutions in enterprise environments
โข Experience working with integrated data domains (e.g., product, service, resource, or asset/inventory data) is strongly preferred
โข Ability to operate independently in cross-functional environments, engaging with architecture teams and business stakeholders to resolve data gaps and define logic
Key Responsibilities
โข Design and develop interactive dashboards and reports natively in Databricks, supporting multiple user views, drill-down capabilities, and segmented insights
โข Integrate and model data from multiple enterprise data sources (e.g., Data Hub, operational systems, financial systems, etc.) into a unified reporting layer
โข Implement complex business logic and transformations required to produce accurate, governed datasets for reporting
โข Align solutions to Databricks Lakehouse (medallion) architecture including Bronze, Silver, and Gold layers
โข Collaborate with Enterprise Architecture and Data Architecture teams to ensure adherence to data standards, governance, and modeling practices
โข Partner with Business SMEs to define KPIs, metrics, and reporting requirements and ensure outputs meet executive and operational needs
โข Optimize query performance and ensure scalability of dashboards across large datasets
โข Support iterative development including enhancements, new views, and evolving data requirements
Required Skills & Experience
Databricks & Data Engineering
โข Strong hands-on experience with Databricks (Azure/AWS) and Lakehouse architecture
โข Deep understanding of medallion architecture (Bronze/Silver/Gold layers) and data lifecycle management
โข Experience building Databricks SQL dashboards or Databricks-native reporting solutions
โข Proficiency in Spark, PySpark, SQL, and notebook-based development
Data Integration & Modeling
โข Experience working with multiple heterogeneous data sources across the enterprise
โข Strong skills in data transformation, data modeling, and data pipeline design
โข Familiarity with data normalization, dimensional modeling, and semantic layers
โข Ability to implement complex joins, aggregations, and business rules
Analytics & Dashboarding
โข Proven ability to design multi-view dashboards with drill-downs and segmentation
โข Experience delivering executive-level dashboards and operational reporting solutions
โข Strong understanding of data storytelling and usability
Collaboration & Delivery
โข Experience working in cross-functional teams with:
โข Enterprise Architecture
โข Data Architecture
โข Business SMEs
โข Strong communication skills to translate technical solutions into business insights
โข Experience working in agile or iterative delivery environments
TekWissenยฎ Group is an equal opportunity employer supporting workforce diversity.
Job Title: Data Analyst/Modeler II
Location: Remote
Duration: 12 Months
Job Type: Temporary Assignment
Work Type: Remote
Pay Rate: $ 51.96-51.96/ Hr
Overview:
TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. The below job opportunity is to one of Our clients is an American telecommunications company headquartered in Monroe, Louisiana, that offers communications, network services, security, cloud solutions, voice, and managed services.
Job Description:
Experience Requirements
โข Typically 8โ12+ years of experience in data engineering, analytics, or data platform development
โข Demonstrated hands-on experience working with Databricks / Spark-based data platforms
โข Proven experience delivering complex, multi-source data integration and reporting solutions in enterprise environments
โข Experience working with integrated data domains (e.g., product, service, resource, or asset/inventory data) is strongly preferred
โข Ability to operate independently in cross-functional environments, engaging with architecture teams and business stakeholders to resolve data gaps and define logic
Key Responsibilities
โข Design and develop interactive dashboards and reports natively in Databricks, supporting multiple user views, drill-down capabilities, and segmented insights
โข Integrate and model data from multiple enterprise data sources (e.g., Data Hub, operational systems, financial systems, etc.) into a unified reporting layer
โข Implement complex business logic and transformations required to produce accurate, governed datasets for reporting
โข Align solutions to Databricks Lakehouse (medallion) architecture including Bronze, Silver, and Gold layers
โข Collaborate with Enterprise Architecture and Data Architecture teams to ensure adherence to data standards, governance, and modeling practices
โข Partner with Business SMEs to define KPIs, metrics, and reporting requirements and ensure outputs meet executive and operational needs
โข Optimize query performance and ensure scalability of dashboards across large datasets
โข Support iterative development including enhancements, new views, and evolving data requirements
Required Skills & Experience
Databricks & Data Engineering
โข Strong hands-on experience with Databricks (Azure/AWS) and Lakehouse architecture
โข Deep understanding of medallion architecture (Bronze/Silver/Gold layers) and data lifecycle management
โข Experience building Databricks SQL dashboards or Databricks-native reporting solutions
โข Proficiency in Spark, PySpark, SQL, and notebook-based development
Data Integration & Modeling
โข Experience working with multiple heterogeneous data sources across the enterprise
โข Strong skills in data transformation, data modeling, and data pipeline design
โข Familiarity with data normalization, dimensional modeling, and semantic layers
โข Ability to implement complex joins, aggregations, and business rules
Analytics & Dashboarding
โข Proven ability to design multi-view dashboards with drill-downs and segmentation
โข Experience delivering executive-level dashboards and operational reporting solutions
โข Strong understanding of data storytelling and usability
Collaboration & Delivery
โข Experience working in cross-functional teams with:
โข Enterprise Architecture
โข Data Architecture
โข Business SMEs
โข Strong communication skills to translate technical solutions into business insights
โข Experience working in agile or iterative delivery environments
TekWissenยฎ Group is an equal opportunity employer supporting workforce diversity.






