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Manager Sql Data Engineer Jobs in Minnesota (NOW HIRING)

Sparc Technology Services Inc

Data Manager

Saint Paul, MN · On-site

$60 - $65/hr

Desired 4-7 years of experience in Data management, data analytics, data engineering, or related ... Experience with SQL, data lakes, data and data pipelines / ETL. * Significant experience with ...

Dlapiper

Data Engineer

Minneapolis, MN · Hybrid

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... g., a single SQL Server instance) and manage field mappings and transformations to support ...

ApplyLogic Consulting Group, LLC

Data Engineer

Virginia, MN · On-site

$110K - $132K/yr

Develop and optimize advanced SQL queries, stored procedures, database objects, and data processing ... Support security, data governance, configuration management, change management, and compliance ...

New

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... g., a single SQL Server instance) and manage field mappings and transformations to support ...

Indotronix International Corporation

Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Responsibilities - Design, build, and optimize robust, scalable ETL/ELT data pipelines using GCP technologies, Apache Beam, Airflow, Python, and SQL - Lead technical decision-making, set engineering ...

Robert Half

Data Engineer

Saint Paul, MN · On-site

$47.50 - $55/hr

Manage orchestration, scheduling, and monitoring of data workflows to ensure stable performance and ... Use Python, SQL, and cloud-based tools to automate data processing, optimize performance, and ...

New

Jobtailor

Data Product Manager

Saint Paul, MN · On-site

Align engineering, analytics, and business teams * Use metrics to guide prioritization and product ... Experience with SQL, data lakes, data, and data pipelines/ETL * Significant experience with ...

Qode

Data Engineer

Virginia, MN · On-site

$110K - $132K/yr

Wealth Management Position: Data Engineer Pay: $100K - $140K + Bonus Locations: - First 90 days on ... Advanced knowledge of database technologies such as Microsoft SQL Server, Oracle, or NoSQL ...

New

Stellar IT Group

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

You will collaborate closely with Product Management, Ads Engineering, Analytics, Data Science, and ... The role requires deep SQL expertise, production grade orchestration with Apache Airflow (Cloud ...

TEKsystems

Data Engineer

Saint Paul, MN · On-site

$70 - $80/hr

The individual will work closely with business teams to understand data needs, manage and improve ... Strong knowledge of data modeling, database design, and ETL processes with advanced SQL skills and ...

Inficare Technologies

AWS Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

AWS Data Engineer Location: Minneapolis, MN (Day 1 Onsite) Job Type: Contract (Long Term) ... Work with large relational databases including Oracle and SQL Server * Implement and manage AWS ...

Syntricate Technologies

Azure Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

... PL/SQL, SQL Server T-SQL, or Snowflake SQL • 5+ years developing ETL using Informatica ... management services. Founded in 2004, the company is headquartered in Boston, USA, with a team of ...

Apex Systems

Data Engineer

New Brighton, MN · On-site

$121K - $145K/yr

Build and manage data pipelines to integrate, clean, and transform data across systems (ETL ... Advanced SQL skills for querying and data manipulation. * Proficiency in the Microsoft Azure ...

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Manager Sql Data Engineer information

What does a Manager SQL Data Engineer do?

A Manager SQL Data Engineer oversees a team responsible for designing, developing, and maintaining SQL databases that store and organize large amounts of data. They manage data engineering projects, ensure best practices in data modeling and ETL processes, and work closely with other departments to understand data needs. In addition to technical responsibilities, they provide leadership, mentor junior engineers, and ensure data security and integrity across the organization. Their role is critical in making sure data systems are efficient, reliable, and scalable.

What are the key skills and qualifications needed to thrive as a Manager SQL Data Engineer?

To thrive as a Manager SQL Data Engineer, you need deep expertise in SQL development, database architecture, data modeling, and leadership experience, usually supported by a degree in computer science or a related field. Familiarity with database management systems (such as Microsoft SQL Server, Oracle, or MySQL), ETL tools, and certifications like Microsoft Certified: Azure Data Engineer Associate are typically required. Strong communication, problem-solving, and team management skills help you effectively lead data engineering teams and collaborate cross-functionally. These skills ensure robust data solutions, efficient team performance, and alignment of data systems with business objectives.

How does a Manager SQL Data Engineer typically collaborate with cross-functional teams within an organization?

A Manager SQL Data Engineer frequently works alongside data analysts, software engineers, business intelligence teams, and key business stakeholders to ensure data solutions align with organizational goals. This collaboration often involves gathering requirements, translating business needs into technical specifications, and overseeing the development and deployment of data pipelines and databases. The manager also facilitates communication between technical and non-technical team members, ensuring that data strategies are clearly understood and effectively implemented across departments.

What are the most commonly searched types of Sql Data Engineer jobs in Minnesota?

The most popular types of Sql Data Engineer jobs in Minnesota are:

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Cities in Minnesota with the most Manager Sql Data Engineer job openings:

Manager Sql Data Engineer jobs near you

Data Engineer (SQL, ETL, Snowflake)

Arden Hills, MN • On-site

Prudent Technologies and Consulting
1 - 10 employees
Learn more about Prudent Technologies and Consultingexternal

$120K - $144K/yr

Other

This job post has expired today. Applications are no longer accepted.

Job description

Role: Data Engineer (SQL, ETL, Snowflake)
Location: Arden Hills, MN (Onsite )
Duration:  Contract

Experience : 10+ Years

Job Summary: The Data Engineer will build reliable, scalable data solutions that strengthen trusted HR and enterprise analytics. This role works closely with business analysts, lead data engineers, and the HR team on site to deliver well-managed data pipelines, improve data quality, and improve data-driven operations across the organization.

Competencies-Skills (Required):

Core Experience: 7+ years in SQL, data engineering, and data modeling.
Data Platforms: Builds and supports data warehouses, data lakes, and lake house environments.
Snowflake: Minimum 2 years of hands-on Snowflake experience.
Delivery Leadership: Leads full-lifecycle data engineering or reporting initiatives.
Data Ingestion: Designs and builds ingestion patterns for files, APIs, databases, CDC, replication, and streaming/message-based data sources.
Data Pipelines: Builds, optimizes, and operates reliable ETL/ELT pipelines and integrated datasets.
DevOps: Uses CI/CD, automated testing, and deployment practices for data solutions.
Scripting: Uses scripting languages, preferably Python, for data engineering automation.
Ownership: Works independently, manages priorities, and drives outcomes with minimal supervision.
Problem Solving: Applies strong analytical, troubleshooting, and root cause analysis skills.
Communication: Communicates clearly and coordinates effectively with technical and business partners.
Data Security: Applies security practices such as encryption, anonymization, masking, and access-aware design.
Modern Data Architecture: Understands warehouse, lake, lake house, and cloud-based data architecture patterns.
Azure Familiarity: Understands Azure services used for data storage, integration, processing, orchestration, and security.
Orchestration: Manages pipeline orchestration, scheduling, monitoring, and data flow reliability.
Metadata Management: Uses metadata-driven practices to improve usability, lineage, and governance.
Version Control: Uses version control to support quality, traceability, and team collaboration.
Scalability: Designs pipelines with scalability, performance, and distributed processing considerations.

Competencies-Skills (Preferred):

Advanced Platform Optimization: Optimizes complex Snowflake and Databricks/Spark workloads, including streams, tasks, dynamic tables, and performance tuning.
HR Data Experience: Works with HR systems such as Workday and supports workforce analytics, employee lifecycle reporting, and people data use cases.
HR Data Governance: Applies privacy, minimization, masking, and access practices specifically for confidential employee and workforce data.
Enterprise Solution Design: Shapes reusable data product patterns, logical models, and target-state designs for enterprise analytics.
Power BI Enablement: Partners with analysts to support semantic models, curated datasets, dashboards, and trusted reporting experiences.
Data Vault: Understands Data Vault modeling concepts and architecture.
Practical Innovation: Identifies pragmatic opportunities to improve data products, analytics delivery, and user adoption.
Agentic AI Exposure: Understands agentic AI concepts and opportunities to apply AI-enabled workflows in data and analytics contexts.
AI Productivity: Uses AI tools responsibly to improve personal productivity, streamline analysis, accelerate documentation, and support delivery quality.
MLOps Exposure: Understands machine learning operations and production model lifecycle concepts.

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