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Big Data Developer Jobs in Minnesota (NOW HIRING)

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Lead Data Engineer

Eagan, MN · On-site

$116K - $140K/yr

Lead Data Engineer Location: Eagan, MN (hybrid onsite) Contract to Hire: 3-6 months Summary ... Big Data or Analytics or equivalent. Travel: · Open to travel based-up on the nature of the ...

Cognizant Technologies

Bigdata/Hadoop

Minnetonka, MN

Demonstrating substantial depth of knowledge and experience in a specific area of Big Data and Java development. Minimum Requirements 10+ consecutive years in the software engineering profession. 5+ ...

Sonsoft Inc

Bigdata/Kofax Developer

Minneapolis, MN · On-site

$55.25 - $71.75/hr

Company Description Sonsoft , Inc. is a USA based corporation duly organized under the laws of the Commonwealth of Georgia. Sonsoft Inc. is growing at a steady pace specializing in the fields of ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and ... Big data background. Hands-on experience with distributed data processing at scale - Spark, Hive ...

Cambria

Data Engineering Manager

Belle Plaine, MN · On-site

Cambria is looking for a hands-on Data Engineering Manager to lead the engineering function and ... Big data background. Hands-on experience with distributed data processing at scale - Spark, Hive ...

Genesis10

Data Engineer II - Hybrid

Richfield, MN · On-site

$55 - $62/hr

Genesis10 is currently seeking a Data Engineer II for a Hybrid position with a Leading Consumer ... Work with Big Data ecosystems and MPP warehouses; support data ingestion, schema evolution, and ...

New

Cargill

Manager, Data Engineering

Saint Paul, MN · On-site

Oversees the development of data products and solutions using big data and cloud based technologies ... Expert-level proficiency in SQL for data manipulation and optimization. * DEVOPS: Demonstrated ...

BC Forward

Data Engineer: IV (Lead)

Minneapolis, MN · On-site

$119K - $143K/yr

We are seeking a Big Data Engineer to join our dynamic team and deliver scalable, governed, and business-aligned data products across the enterprise. The ideal candidate will have strong experience ...

Judge Group, Inc.

Cloud Data Architect

Minneapolis, MN · On-site

$170K - $175K/yr

... with LLMs, prompt engineering, and agent frameworks (LangChain, AutoGen, CrewAI). Deep ... real-time, big data) and analytics platforms Define and implement data governance, quality ...

HealthPartners

Data Engineer Senior

Bloomington, MN

$115K - $138K/yr

... Big Data, or Hyper Scale products in Azure. * Experience using Git, or a comparable code repository * Must be motivated, self-driven, curious, and creative * Must be skilled communicator, and ...

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How much do big data developer jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for big data developer in Minnesota is $57.78, according to ZipRecruiter salary data. Most workers in this role earn between $49.90 and $64.76 per hour, depending on experience, location, and employer.

Is big data a good career?

Big Data Developers are in high demand due to the growth of data-driven decision making across industries. The role typically requires skills in programming, data management, and tools like Hadoop or Spark, and offers competitive salaries and opportunities for advancement. It is considered a promising career path for those interested in technology and data analysis.

What Is a Big Data Developer?

A big data developer, sometimes called a big data engineer, creates technical tools and systems that allow an organization to integrate data analytics seamlessly into business solutions. As a big data developer, your primary duties include designing, coding, testing, and monitoring software and applications that are used to achieve your organization’s goals. Big data developers work in a variety of fields, including health care, finance, biotech, media, and advertising, as well as within various government departments. The job typically involves working as part of a large team of developers, data science specialists, and programmers.

What is a Big Data Developer?

A Big Data Developer is a technology professional who designs, builds, and maintains systems and applications for processing and analyzing large volumes of data. They work with big data tools and frameworks like Hadoop, Spark, and NoSQL databases to manage data pipelines and ensure efficient data storage and retrieval. Their role often involves collaborating with data scientists and analysts to turn massive, complex data sets into actionable insights for organizations.

What are some common challenges Big Data Developers face when integrating new data sources into existing pipelines?

A common challenge for Big Data Developers is ensuring compatibility and data quality when integrating new data sources into established pipelines. This often involves handling different data formats, managing schema evolution, and addressing inconsistencies or missing data. Developers must also optimize for performance, as adding new sources can impact processing speed and resource utilization. Close collaboration with data engineers, analysts, and business stakeholders is essential to ensure that the integrated data supports organizational goals and maintains high reliability.

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

To thrive as a Big Data Developer, you need strong programming skills (such as Java, Scala, or Python), a deep understanding of data structures, and experience with distributed systems, often supported by a bachelor’s degree in computer science or a related field. Proficiency with big data tools and platforms like Hadoop, Spark, Hive, Kafka, and NoSQL databases, as well as familiarity with cloud services (AWS, Azure, or Google Cloud), is typically required. Analytical thinking, problem-solving abilities, and effective communication help developers collaborate with cross-functional teams and translate business needs into technical solutions. These skills are crucial for efficiently processing and analyzing large-scale data to drive informed decision-making and innovation.

Can I make 200K as a data engineer?

Big Data Developers and data engineers can earn $200,000 or more annually, especially with extensive experience, advanced skills in tools like Spark and Hadoop, and certifications. Salaries vary by location, industry, and company size, with senior roles and specialized expertise commanding higher pay.

What is the difference between Big Data Developer vs Data Engineer?

AspectBig Data DeveloperData Engineer
Primary FocusDesigning and developing big data applications and solutionsBuilding and maintaining data pipelines and infrastructure
Skills & CertificationsHadoop, Spark, Java, Scala, SQLETL, cloud platforms, scripting, database management
Work EnvironmentData teams, software development projectsData infrastructure, cloud environments, data warehouses
Industry UsageTech, finance, healthcare, retailTech, finance, telecom, e-commerce

While both roles work with big data technologies, Big Data Developers focus on creating applications and solutions for processing large datasets, whereas Data Engineers build and maintain the data infrastructure that supports these applications. Understanding these distinctions helps in choosing the right career path or job search focus.

Will AI replace big data?

Big Data Developers work with large datasets, data processing tools, and analytics platforms. AI can automate some data analysis tasks, but it complements rather than replaces the need for skilled professionals to design, manage, and interpret complex data systems.

What do big data developers do?

Big Data Developers design, build, and maintain large-scale data processing systems using tools like Hadoop, Spark, and Kafka. They write code to extract, transform, and load data, ensuring data quality and performance for analytics and business insights.
More about Big Data Developer jobs
What are popular job titles related to Big Data Developer jobs in Minnesota? For Big Data Developer jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Big Data Developer jobs in Minnesota look for? The top searched job categories for Big Data Developer jobs in Minnesota are:
What are popular job titles related to Big Data Developer jobs in MN? For Big Data Developer jobs in MN, the most frequently searched job titles are:
Big Data Developer jobs near you
Infographic showing various Big Data Developer job openings in Minnesota as of July 2026, with employment types broken down into 3% As Needed, 66% Full Time, 28% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $120,180 per year, or $57.8 per hour.
Data Engineer (Google Cloud) - Apache Airflow

Data Engineer (Google Cloud) - Apache Airflow

Javen Technologies, Inc

Richfield, MN • On-site

$118K - $142K/yr

Other

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

Job description

Title: ETL Developer -SQL, Apache Airflow

Location: Richfield, MN (Hybrid - 2 days/Week)

Duration: 12 months contract

Position Summary/Job Description:

Hire an experienced Data Engineer to design, build, and maintain scalable batch/streaming data pipelines on Google Cloud. The role requires deep SQL expertise, production grade orchestration with Apache Airflow (Cloud Composer), and strong Python for ELT/ETL, with exposure to Postgres.

Skills Overview:

What are the top five skills and number of years of experience required to perform this job?

  • SQL (5+ years)
  • Apache Airflow (Cloud Composer) (3+ years)
  • Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, GCS, Composer) (3+ years)
  • Python (5+ years)
  • Big Data (warehousing/processing concepts, performance)(5+ years)
  • Postgres (3+)

Experience

  • Design, develop, and operate reliable data pipelines and DAGs using Apache Airflow/Cloud Composer for batch and near real time workflows.
  • Build ELT/ETL on Google Cloud Platform services (e.g., BigQuery, Dataflow, Pub/Sub, Cloud Storage; Composer for orchestration); enforce coding, testing, and observability standards.
  • Write expert level SQL for modeling, complex transformations, windowing functions, and performance tuning; own query efficiency and cost optimization.
  • Develop Python data components (operators, hooks, transforms), packaging and CI/CD for deployment to Composer/Dataflow.
  • Work with Big Data ecosystems and MPP warehouses; support data ingestion, schema evolution, and partitioning/clustering strategies.
  • Integrate Postgres sources/targets
  • Partner with product, analytics, and platform teams; uphold security, compliance, data quality (DQ checks, SLAs), and documentation standards.

What are some preferred/nice to have skills the manager is looking for?

  • Who has worked in ads domain. 
  • Should be able to talk to stakeholders and understand the problem and solve it efficiently
  • Preventing data quality issues before they impact users.
  • Prioritizing projects and handling multiple requests.

 

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