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Remote Big Data Jobs in Minnesota (NOW HIRING)

Lancesoft

Data Engineer

Minneapolis, MN · On-site +1

$75.75 - $83.33/hr

Remote Data Analyst -Finance Data Platform Purpose: Support data validation, data reconciliation ... Hhands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar ...

TriOptus LLC

Data Engineer | TELECOMMUTE

Minneapolis, MN · On-site +1

$119K - $143K/yr

APIs, CI/CD, Big Data, data architecture and governance * Experience with Cloud technologies and platforms such as Docker, OSE, Kubernetes, AWS, Snowflake, and Azure * Experience with Jenkins, GitHub ...

A.C. Coy

Sr. AI Engineer/Architect (Remote)

Eagan, MN · Remote

This remote contract-to-hire position will be originated in Eagan, MN. * SELECTED CANDIDATES ... Leverage big data processing and storage technologies to create datasets, prototypes, and data ...

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Remote Big Data information

What are the key skills and qualifications needed to thrive in the remote big data position?

To excel as a Remote Big Data professional, a solid background in data analysis, distributed computing, and programming languages such as Python, Java, or Scala is essential, often supported by a degree in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, Kafka, and cloud platforms (AWS, Azure, or Google Cloud) as well as relevant certifications can be highly advantageous. Strong problem-solving abilities, self-management, and effective remote communication skills are critical for collaborating with distributed teams. These combined skills enable professionals to efficiently process massive datasets, create scalable solutions, and contribute to data-driven decision-making from a remote environment.

What is a remote big data?

A Remote Big Data job involves working with large datasets, analyzing trends, and optimizing data infrastructure, all while telecommuting. Professionals in this role use tools like Hadoop, Spark, and SQL to process and interpret complex data. They may work for tech companies, finance, healthcare, or other industries that rely on data insights. A strong background in data engineering, analytics, or machine learning is often required. These roles offer flexibility but demand strong communication and collaboration skills for remote teamwork.

What are the typical daily responsibilities of a remote big data professional?

As a Remote Big Data professional, your daily tasks often include developing, maintaining, and optimizing large-scale data processing pipelines, analyzing datasets to extract insights, and troubleshooting performance issues. You’ll collaborate closely with cross-functional teams—such as data engineers, analysts, and product managers—through virtual meetings and shared documentation tools. Regular responsibilities may also involve implementing data quality standards, ensuring data security, and integrating new data sources. The remote aspect of the role emphasizes self-motivation and clear digital communication to keep projects on track. This position offers a dynamic workday where your contributions directly impact business intelligence and innovation.

What are popular job titles related to Remote Big Data jobs in Minnesota? For Remote Big Data jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Big Data jobs in Minnesota look for? The top searched job categories for Remote Big Data jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Big Data jobs? Cities in Minnesota with the most Remote Big Data job openings:
Remote Big Data jobs near you
Infographic showing various Remote Big Data job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, and 4% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Data Engineer

Lancesoft

Minneapolis, MN • On-site, Remote

$75.75 - $83.33/hr

Temporary

Medical, Dental, Vision, Life, Retirement

Posted 16 days ago

Job description


Shift: 1st Shift, Monday-Friday, standard working hours
Duration: 12 Months
Pay range: $75.75/hr. - $83.33/hr.
Remote
Job Description
Data Analyst -Finance Data Platform
Purpose: Support data validation, data reconciliation, and reports development for the Finance mainframe application modernization and data platform migration to modern GCP-based data platform.
Outcome: Identify data variance between legacy and modern platforms for modern Finance applications and 2 quarter parallel operation. Collaborate with product and business teams to identify root causes for the variances and resolve/document the variance to assist on Go-Live decision.
Core Skill: Hhands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform. Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools. Experience with Python/Pyspark coding for data movement and analysis.
Required Skillset:
  • Senior level (5+ years) hands-on SQL experience with big data platforms/databases like Google BigQuery, Hadoop or similar data platform.
  • Senior experience with ETL and data pipeline tools such as Dataproc, Airflow, Dataform, dbt, or similar tools.
  • Good experience with Python/Pyspark coding for data movement and analysis.
  • Experience with data visualization and reporting tools such as Power BI, Looker, and LookML for dashboard development, KPI reconciliation, semantic layer validation, and data analysis.
  • Strong experience in data analysis, data validation, source-to-target reconciliation, duplicate detection, reject/error validation, audit/control total validation, and business rule validation.
  • Ability to analyze mapping documents, reporting requirements, transformation logic, data lineage, and data quality rules.
  • Experience creating reconciliation reports, validation summaries, exception reports, defect logs, and business sign-off documentation.
  • Strong communication and collaboration skills with the ability to work closely with engineering, product, finance, business, and legacy system teams.
Preferred Skillset:
  • Prior retail industry experience, especially working with large enterprise data in finance, supply chain, merchandising, inventory, stores, sales, digital, product, or customer domains.
  • Experience working with Google Cloud Medallion Data Layer and GCP supported data processing tools.
  • Familiarity with SAP S4 data structure and finance domain report building experience.
  • Experience working in agile delivery environments, including user stories, acceptance criteria, sprint ceremonies, defect triage, and iterative delivery.
General requirements:
  • Develop queries and dataset required to validate legacy vs modern applications datasets to identify data variances.
  • Develop reports using end user visualization tools to present the variances and trends between sources.
  • Document data variances and identified root causes in collaboration with Product Manager/Engineers/Business Teams and get business sign off for known variances.
  • Build dashboards for data variance trend for the stakeholders and assist on determining tolerance thresholds for Go Live decisions.
  • 5+ years working in data analytics role.
  • 1-3 years of experience working in agile team.

Employee Benefits:
At LanceSoft, full time regular employees who work a minimum of 30 hours a week or more are entitled to the following benefits:
  • Four options of medical Insurance
  • Dental and Vision Insurance
  • 401k Contributions
  • Critical Illness Insurance
  • Voluntary Permanent Life Insurance
  • Accident Insurance
  • Other Employee Perks
About LanceSoft
LanceSoft is rated as one of the largest staffing firms in the US by SIA. Our mission is to establish global cross-culture human connections that further the careers of our employees and strengthen the businesses of our clients. We are driven to use the power of our global network to connect businesses with the right people, and people with the right businesses without bias. We provide Global Workforce Solutions with a human touch.
Meet Your Recruiter
Tushar Ghatode
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About LanceSoft

Sourced by ZipRecruiter

Established in 2000, LanceSoft is a Certified MBE and Woman-Owned organization. Lancesoft Inc. is one of the highest rated companies in the industry. We have been recognized as one of the Largest Staffing firms and ranked in the top 50 fastest Growing Healthcare Staffing firms in 2022. Lancesoft offers short- and long-term contracts, permanent placements, and travel opportunities to credentialed and experienced professionals throughout the United States. We pride ourselves on having industry leading benefits. We understand the importance of partnering with an expert who values your needs, which is why we're 100% committed to finding you an assignment that best matches your career and lifestyle goals. Our team of experienced career specialists takes the time to understand your needs and match you with the right job Lancesoft has been chosen by Staffing Industry Analysts as one of the Best Staffing Firms to Work for.LanceSoft specializes in providing Registered Nurses, Nurse Practitioners, LPNs/LVNs, Social Workers, Medical Assistants, and Certified Nursing Assistants to work in Acute Care Centers, Skilled Nursing Facilities, Long-Term Care centers, Rehab Facilities, Behavioral Health Centers, Drug & Alcohol Facilities, Home Health & Community Health, Urgent Care Clinics, and many other provider-based facilities.

Industry

Recruiting and staffing services

Company size

1,001 - 5,000 Employees

Headquarters location

Herndon, VA, US

Year founded

2000

Social media

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