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Data Engineer With Jobs in Minnesota (NOW HIRING)

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site

$72K - $130K/yr

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud ...

UnitedHealth Group

Data Engineer with AI/ML

Minnetonka, MN · On-site +1

$72K - $130K/yr

We are seeking a highly skilled and motivated Data Engineering Analyst with AI/ML expertise to drive the AI 10.0 initiative. This role blends deep expertise in data engineering, automation, and cloud ...

Wipro Limited

Azure Data Engineer

Minneapolis, MN · On-site

$80K - $158K/yr

With over 230,000 employees and business partners across 65 countries, we deliver on the promise of ... Azure Data Engineer Location: Dallas, TX or Charlotte, NC (3 Days Onsite/week) Role Overview We are ...

Omni Inclusive

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

This role will involve coaching data engineers technically on topics like Azure databricks, optimizing data workflows, and collaborating with internal teams on various aspects. Requirements : 1. ...

Saxon Global

Data Engineer

Saint Paul, MN · Hybrid

$115K - $138K/yr

Partner with stakeholders to translate ambiguous requirements into actionable technical plans ... Azure DevOps; data modeling. * Generative AI and LLMs; Python; Snowflake. * Alation or similar data ...

Accelint

Data Engineer

Saint Paul, MN · On-site

$101K - $130K/yr

Collaborate with software developers, data scientists, and product managers to understand requirements, gather specifications and align on project goals. * Contribute technical expertise in data ...

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

Ryan Companies US

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

Ryan Companies

Data Engineer

Minneapolis, MN · On-site +1

$90K - $113K/yr

The successful candidate will work cross-functionally with data architects, AI/ML engineers, data scientists, analysts, and domain experts to design and implement modern data engineering solutions.

Dlapiper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... The role focuses on operationalizing pipelines with governance and service expectations (SLAs ...

DLA Piper

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... The role focuses on operationalizing pipelines with governance and service expectations (SLAs ...

Reliant Medical Group

Sr. Data Engineer

Eden Prairie, MN · Remote

$116K - $140K/yr

You will partner closely with data architects, analytics engineers, data scientists, business stakeholders, and platform engineering teams to deliver reliable, performance, secure, and cost-efficient ...

Veracity

Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Data Engineer We are seeking an experienced Data Engineer to join our team and contribute to the ... Work with Teradata to integrate and manage large datasets. * Ensure data quality, integrity, and ...

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Data Engineer With information

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

To thrive as a Data Engineer, you need expertise in SQL, data modeling, ETL processes, and strong programming skills in languages like Python or Java, often supported by a degree in computer science or a related field. Familiarity with big data technologies such as Hadoop, Spark, and cloud platforms like AWS or Azure, as well as relevant certifications, is highly valued. Strong problem-solving abilities, attention to detail, and effective communication skills help Data Engineers collaborate with stakeholders and troubleshoot complex issues. These competencies ensure efficient data pipeline development, reliable data infrastructure, and support data-driven decision-making in organizations.

What are some common challenges Data Engineers face when working with large-scale data pipelines, and how can they be addressed?

Data Engineers often encounter challenges such as data quality issues, pipeline bottlenecks, and scalability concerns when managing large-scale data pipelines. Addressing these challenges typically involves implementing robust data validation checks, optimizing ETL processes for efficiency, and leveraging scalable cloud-based solutions like AWS, Azure, or Google Cloud. Additionally, collaborating closely with data analysts, data scientists, and DevOps teams helps ensure smooth data flow and timely resolution of issues. Continuous monitoring, documentation, and automation are also key practices for maintaining reliable and efficient pipelines.

What are Data Engineers?

Data Engineers are professionals who design, build, and maintain the infrastructure and systems needed to collect, store, and analyze large amounts of data. They work with tools and technologies that enable organizations to process data efficiently and ensure its quality, reliability, and accessibility. Data Engineers often collaborate with data scientists, analysts, and other IT professionals to support business intelligence and analytical needs. Their work is crucial for turning raw data into actionable insights.

What is the difference between Data Engineer With vs Data Scientist?

AspectData Engineer WithData Scientist
Required CredentialsBachelor's in CS, Engineering, or related field; certifications like AWS, GCP, or AzureBachelor's or higher in CS, Statistics, or related; often with certifications in data analysis or machine learning
Work EnvironmentBuild and maintain data pipelines, databases, and infrastructureAnalyze data, develop models, and generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data infrastructure is criticalResearch institutions, tech firms, marketing, and analytics-focused companies

While Data Engineers With focus on developing and maintaining data infrastructure, Data Scientists analyze data to derive insights. Both roles often collaborate but serve different functions within data teams.

What are popular job titles related to Data Engineer With jobs in Minnesota? For Data Engineer With jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Data Engineer With jobs in Minnesota look for? The top searched job categories for Data Engineer With jobs in Minnesota are:
What cities in Minnesota are hiring for Data Engineer With jobs? Cities in Minnesota with the most Data Engineer With job openings:
Data Engineer With jobs near you
Data Engineer with DBT, FiveTran & Snowflake

Data Engineer with DBT, FiveTran & Snowflake

SIAL TECHNOLOGY PARTNERS

Minneapolis, MN • On-site

$119K - $143K/yr

Other

Posted 2 hours ago

Job description

Data Engineer with strong Python experience and DBT, FiveTran and Snowflake.

We''re seeking a strong Data/Python Engineer to focus on expanding and optimizing our data, data pipeline architecture, data flow and collection for multi-functional teams.

Technologies:

  • 3+ years experience in application development using Python
  • 3+ years experience programming SQL queries and stored procedures (Microsoft SQL Server, Postgres, Oracle, MySQL or Sybase)
  • Snowflake
  • DBT
  • Fivetran

Role:

Seeking a candidate that enjoys data wrangling. Eager to understand internal/external business reporting needs. Ability to communicate effectively and work with business stakeholders to arrive at the appropriate solution. Comfortable working across departments to gather/spread necessary knowledge to complete a project. Willingness to learn new languages/technologies as needed for the job. Familiarity with Agile/SCRUM methodologies and practice.

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