MaximaTek
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in Minnetonka, MN (Hybrid, 3 days in-office) with a contract length of "unknown" and a pay rate of "unknown." Requires expertise in ETL (Informatica), SQL, data modeling, and healthcare insurance experience.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
Unknown
-
🗓️ - Date
April 23, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
Minnetonka, MN
-
🧠 - Skills detailed
#Data Governance #Scala #Scripting #PyTorch #SQL (Structured Query Language) #Security #Data Quality #Informatica #Visualization #Informatica PowerCenter #Microsoft Power BI #R #Data Analysis #Tableau #Data Engineering #Deployment #ML (Machine Learning) #Oracle #BI (Business Intelligence) #TensorFlow #Data Pipeline #Azure #AI (Artificial Intelligence) #"ETL (Extract #Transform #Load)" #Snowflake #Data Lifecycle #Data Integration #Azure Machine Learning #Python #Kafka (Apache Kafka) #Monitoring #Storage #Datasets #Data Modeling #Cloud
Role description
Position: Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target Mapping
Location: Minnetonka, MN (Hybrid- 3 Days in-office). ONLY LOCAL CANDIDATES ACCEPTED.
VISA : ONLY Green Card and Citizens
Reqd. Skills:
• Data Engineering
• ETL-Informatica
• SQL/Oracle PL-SQL
• Informatica PowerCenter
• Data Modeling
• Data Analysis
• Snowflake or Azure or Kafka – Preferred
• Healthcare Insurance
Key Accountabilities:
• Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics.
• Ensuring data quality, integrity, and security across all stages of the data lifecycle.
• Collaborating with stakeholders to define data requirements and translate them into technical specifications.
• Monitoring and optimizing performance of data systems and ETL processes.
• Supporting the deployment and maintenance of data infrastructure in cloud environments.
• Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting.
• Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows.
In addition to engineering responsibilities, the Data Generalist component of this role includes:
• Performing exploratory data analysis and generating actionable insights.
• Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel.
• Collaborating with cross-functional teams to align data efforts with business goals.
• Automating data workflows using scripting languages such as Python or R.
• Supporting business intelligence initiatives and translating data into strategic recommendations.
• Documenting data processes and contributing to data governance standards.
• Applying AI and machine learning techniques to enhance predictive analytics, automate decision-making, and uncover deeper insights from complex datasets.
• Utilizing preferred AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation.
Position: Data Analyst-Data Modeler/Engineer-ETL-Source-to-Target Mapping
Location: Minnetonka, MN (Hybrid- 3 Days in-office). ONLY LOCAL CANDIDATES ACCEPTED.
VISA : ONLY Green Card and Citizens
Reqd. Skills:
• Data Engineering
• ETL-Informatica
• SQL/Oracle PL-SQL
• Informatica PowerCenter
• Data Modeling
• Data Analysis
• Snowflake or Azure or Kafka – Preferred
• Healthcare Insurance
Key Accountabilities:
• Designing and implementing scalable data pipelines and storage solutions to support enterprise analytics.
• Ensuring data quality, integrity, and security across all stages of the data lifecycle.
• Collaborating with stakeholders to define data requirements and translate them into technical specifications.
• Monitoring and optimizing performance of data systems and ETL processes.
• Supporting the deployment and maintenance of data infrastructure in cloud environments.
• Developing and maintaining complex SQL scripts and stored procedures for data transformation and reporting.
• Leveraging Informatica IDMC for cloud-native data integration, data quality, and governance workflows.
In addition to engineering responsibilities, the Data Generalist component of this role includes:
• Performing exploratory data analysis and generating actionable insights.
• Creating dashboards and visualizations using tools like Power BI, Tableau, or Excel.
• Collaborating with cross-functional teams to align data efforts with business goals.
• Automating data workflows using scripting languages such as Python or R.
• Supporting business intelligence initiatives and translating data into strategic recommendations.
• Documenting data processes and contributing to data governance standards.
• Applying AI and machine learning techniques to enhance predictive analytics, automate decision-making, and uncover deeper insights from complex datasets.
• Utilizing preferred AI tools and platforms such as TensorFlow, Azure Machine Learning, scikit-learn, and PyTorch to build and deploy models that support enterprise analytics and innovation.
