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Manager Sql Data Engineer Jobs in Minnesota (NOW HIRING)

Data Engineer

Minneapolis, MN

$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 ...

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 ...

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office ... Design and build ingestion pipelines from on-premises SQL Server and other source systems into ...

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 ...

Data Engineer

Saint Cloud, MN · On-site

$82K - $102K/yr

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office ... Design and build ingestion pipelines from on-premises SQL Server and other source systems into ...

Data Engineer Principal

Bloomington, MN · On-site

$115K - $138K/yr

HealthPartners data engineers are responsible for building, managing and optimizing data pipelines ... SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL ...

Data Engineer Principal

Bloomington, MN · On-site

$115K - $138K/yr

HealthPartners data engineers are responsible for building, managing and optimizing data pipelines ... SQL, Python, Java, R or Spark * Expert proficiency in SQL; experience with Oracle, PostgreSQL ...

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 ...

Data Engineer

Saint Cloud, MN · On-site

$82K - $102K/yr

Data Engineer Must be in Central MN and have reasonable commute to St. Cloud, MN due to in-office ... Design and build ingestion pipelines from on-premises SQL Server and other source systems into ...

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

Develop and manage data solutions to ensure efficient data storage, retrieval, and cost ... Write clean, efficient, and well-documented Python and SQL code to process and transform large ...

Data Engineer

Minneapolis, MN · Hybrid

$50 - $55/hr

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 ...

Data Engineer

Eagan, MN · On-site

$95 - $110/hr

Programming experience with Python, Java, and SQL. Experience building and supporting orchestration ... Ability to manage work direction and lead, influence, mentor, and provide feedback to others within ...

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

They are seeking Data Engineers to manage, transfer, manipulate, or integrate data to ensure ... SQL Server, PostgreSQL, MySQL, and Oracle • Development, monitoring, and maintenance of data ...

Data Engineer

Minneapolis, MN · On-site +1

$120K - $140K/yr

This person will work closely with our customers to manage, transfer, manipulate, or integrate data ... Strong knowledge and experience using SQL, DDL, Stored Procedures, Triggers, and SQL query ...

Data Engineer

Minneapolis, MN · On-site

$120K - $140K/yr

This person will work closely with our customers to manage, transfer, manipulate, or integrate data ... Strong knowledge and experience using SQL, DDL, Stored Procedures, Triggers, and SQL query ...

You will work closely with business analysts, product managers, quality assurance and business ... Optimizing complex SQL queries, indexing strategies and execution plans to handle large datasets ...

Data Engineer

Minneapolis, MN · On-site

$95K - $120K/yr

You will work closely with business analysts, product managers, quality assurance and business ... Optimizing complex SQL queries, indexing strategies and execution plans to handle large datasets ...

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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.

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 key skills and qualifications needed to thrive as a Manager SQL Data Engineer, and why are they important?

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.
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:
What are popular job titles related to Manager Sql Data Engineer jobs in Minnesota? For Manager Sql Data Engineer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Manager Sql Data Engineer jobs in Minnesota look for? The top searched job categories for Manager Sql Data Engineer jobs in Minnesota are:
What cities in Minnesota are hiring for Manager Sql Data Engineer jobs? Cities in Minnesota with the most Manager Sql Data Engineer job openings:

$119K - $143K/yr

Full-time

Medical, Dental, Vision, Retirement

Posted 23 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Data Engineer, Solutions & Data role designs, builds, and operates data pipelines and data integration processes that translate raw data into trusted, usable datasets for analytics, reporting, and downstream solutions. The role focuses on operationalizing pipelines with governance and service expectations (SLAs), improving data quality and reusability, and enabling secure access to integrated data in support of business initiatives. In current initiatives, data engineering includes consolidating data from multiple sources into a central SQL-based integration point and performing field mapping and transformations, so solution teams can consume data consistently.

Location

This position can sit in any of our U.S. offices and offers a hybrid work schedule.


Responsibilities

Data Pipeline Engineering & Integration

  • Build and operationalize data pipelines across heterogeneous environments, aligning to governance principles and service expectations (SLAs).

  • Build and maintain ingestion, transformation, and publication of pipelines (data engineering practice) to deliver analytics-ready data.

  • Consolidate data from multiple sources into a centralized integration point (e.g., a single SQL Server instance) and manage field mappings and transformations to support consistent downstream consumption.

Data Platform & Storage

  • Design and implement data pipelines using Azure data technologies (e.g., Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS) to ingest, process, and deliver data from sources such as APIs and other systems.

  • Build and maintain data warehousing capabilities (e.g., Azure Synapse Analytics) to support analytics and reporting workloads.

Data Quality, Reliability & Operations

  • Identify, troubleshoot, and resolve data issues including data quality, integrity, latency, and security concerns; apply monitoring and operational best practices to keep pipelines reliable and performant.

  • Contribute to data quality and governance practices, including profiling datasets, defining quality rules, and establishing monitoring/remediation approaches.

Collaboration & Delivery (Agile Pod Model)

  • Work cross-functionally with engineers, analysts, and stakeholders to understand requirements and deliver data solutions that support sprint-based delivery.

  • Support pod-level delivery by producing reusable data assets and integration components that can be leveraged across multiple initiatives.

Desired Skills

  • Proficiency in SQL and Python.

  • Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS).

  • Data warehousing experience (Azure Synapse Analytics) and strong fundamentals in data modeling, warehousing, and governance.

  • Scripting/automation skills (PowerShell and related tooling) for platform operations and troubleshooting.

  • Preferred experience includes familiarity with additional programming languages such as Java, Scala, or Go; experience integrating data from multiple enterprise source systems into a central SQL-based integration layer; and familiarity with DataOps concepts and operating in cross-functional teams that include data engineering personas.

  • The measures of success for this role include delivering data pipelines with trusted, quality data with agreed service levels, enabling faster onboarding of new data and more consistent analytics/AI consumption and creating reduced manual effort through reusable integrations and standardized transformations, improved data reliability and operational readiness.


Minimum Education

  • High School or GED


Preferred Education

  • Bachelor's Degree in Computer Science, Engineering, or related field.


Minimum Years of Experience

  • 3 years of experience in data engineering and/or data platform engineering (pipelines, integration, and operational support).


Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

  • Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties;

  • Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner;

  • Provide timely, accurate, and quality work product;

  • Successfully meet deadlines, expectations, and perform work duties as required;

  • Foster positive work relationships;

  • Comply with all firm policies and practices;

  • Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed;

  • Ability to work under pressure and manage competing demands in a fast-paced environment;

  • Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.


Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.
Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.

Application Process

Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.


The firm's expected hiring range for this position is $100,787 - $160,255 depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).

Applicants who are not based in the jurisdiction in which this position is posted and who apply for this role are doing so voluntarily and are not eligible for relocation assistance. Any relocation benefits, if any, are provided only where a relocation is required at the firm's direction and in accordance with applicable policy and law.

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DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.