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Commission Databricks Data Engineer Jobs in Anoka, MN

Sr Data Engineer

Minneapolis, MN · On-site

$119K - $143K/yr

Senior Data Engineer - Databricks, Python, PySpark Job Summary We are seeking a highly experienced Senior Data Engineer with 10+ years of expertise in designing, developing, and optimizing enterprise ...

New

... Architect, Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models and data flow diagrams ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies - Developing and documenting data models, data flow diagrams, and data architecture ...

... Databricks Data Engineer Associate] is a plus - Designing and implementing thorough data architecture strategies that meet the current and future business needs - Developing and documenting data ...

Senior Data Engineer

Eagan, MN · On-site

$108K - $146K/yr

Senior Data Engineer 6 month Contract-to hire Onsite in Eagan, MN 2 days a week Top 3 Must Have ... Databricks * AWS * SQL Position Overview: The team is building a newenterprise data orchestration ...

New

Data Engineer

Minneapolis, MN

$119K - $143K/yr

Together. Summary The Data Engineer, Solutions & Data role designs, builds, and operates data ... Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Senior Data Engineer Location: Minneapolis, MN or Madison, WI Duration: 6+ Months Note :Only W2 no ... Databricks * Microsoft Fabric * Strong understanding of data quality, validation, and production ...

Senior Data Engineer

Minneapolis, MN · On-site

$110K - $150K/yr

Maintain deep expertise in data engineering and modern data architectures and Databricks ... capabilities. * Operations: Review solution performance, and continually assess health of systems.

Hands-on experience with Azure Databricks (Delta Live Tables, Unity Catalog preferred) * Strong ... CI/CD pipelines for data engineering (Azure DevOps / GitHub Actions) * Infrastructure as Code ...

Senior Data Engineer

Eden Prairie, MN · Remote

$108K - $146K/yr

Support data engineering project execution using Azure Cloud, Databricks, Spark, Scala, and Python to enhance data efficiency, reliability, and value * Evaluate emerging technology trends and ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

Data Engineer Senior

Bloomington, MN · On-site

$115K - $138K/yr

The Data Engineer will help advance and maintain the Leadership Financial Reporting & Analytics ... Expert in Microsoft Azure applications such as Azure Data Factory, Synapse, Purview, Databricks ...

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Commission Databricks Data Engineer information

See Anoka, MN salary details

$45.4K

$132.3K

$181K

How much do commission databricks data engineer jobs pay per year?

As of Aug 22, 2026, the average yearly pay for commission databricks data engineer in Anoka, MN is $132,266.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,800.00 and $140,200.00 per year, depending on experience, location, and employer.

What is the difference between Commission Databricks Data Engineer vs Commission Data Engineer?

AspectCommission Databricks Data EngineerCommission Data Engineer
CertificationsDatabricks certifications, cloud platform credentialsGeneral data engineering certifications, cloud platform credentials
Work EnvironmentPrimarily on Databricks platform, cloud-basedVarious cloud platforms, on-premises or cloud
Industry UsageTech, finance, healthcare with Databricks adoptionBroad industry, including finance, retail, healthcare

The Commission Databricks Data Engineer specializes in working with Databricks platform for data processing and analytics, often requiring Databricks-specific certifications. In contrast, the Commission Data Engineer has a broader scope, working across multiple platforms and environments. Both roles involve building data pipelines and managing data workflows, but the Databricks-focused role emphasizes expertise in Databricks tools and cloud integrations.

How much does a Commission Databricks Data Engineer make?

A Databricks Data Engineer's salary varies based on experience, location, and company size, but typically ranges from $90,000 to $140,000 annually. Those with advanced skills in Spark, cloud platforms, and data pipeline development may earn higher compensation, especially with certifications or in high-demand markets.

Is a Databricks data engineer in demand?

Databricks data engineers are in high demand due to the increasing adoption of cloud-based data platforms and big data processing. Skills in Apache Spark, SQL, and cloud environments like AWS or Azure enhance job prospects, with many organizations seeking professionals to manage large-scale data workflows and analytics.

What cities near Anoka, MN are hiring for Commission Databricks Data Engineer jobs?

Cities near Anoka, MN with the most Commission Databricks Data Engineer job openings:

Cybersecurity Data Engineer - Data Lake / Databricks

Pyramid Consulting, Inc.

Saint Paul, MN • On-site

$50 - $52/hr

Other

Medical, Dental, Vision, Retirement

Posted 3 days ago

New


Job description

Immediate need for a talented Cybersecurity Data Engineer – Data Lake / Databricks. This is a 06+ months contract opportunity with long-term potential and is located in St. Paul, MN(Onsite). Please review the job description below and contact me ASAP if you are interested.

Job ID: 26-25559

Pay Range: $50 - $52/hour.  Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

  • Consumer Enablement & Adoption
  • Serve as the primary point of contact for Cyber Data Lake consumers after datasets are available for use.
  • Conduct consumer onboarding sessions, workshops, office hours, and stakeholder working sessions to help users Client, access, and utilize available Cyber Data Lake datasets.
  • Develop and maintain consumer training materials, knowledge articles, FAQs, and adoption resources.
  • Help users understand available datasets, platform capabilities, and supported use cases.
  • Gather stakeholder feedback and identify opportunities to improve the consumer experience.
  • Measure onboarding effectiveness, consumer engagement, and platform adoption.
  • Dataset Discovery & Data Consumption
  • Enable consumers to Client, access, and understand available cyber datasets.
  • Maintain consumer-facing dataset catalogs, usage guidance, and reference documentation.
  • Assist users in identifying appropriate datasets for security, compliance, audit, operational, and analytics use cases.
  • Support query development, reporting, dashboarding, KPI creation, and analytics initiatives.
  • Facilitate analytics working sessions and consumer testing activities.
  • Promote best practices for cyber data consumption and analysis.
  • Security Analytics, Detection & Investigation Enablement
  • Partner with Detection Engineering, Security Operations, and Product Security teams to maximize the value of available telemetry.
  • Validate telemetry availability and accessibility for security monitoring and detection use cases.
  • Support detection use-case enablement, tuning, validation, and analytics activities.
  • Assist investigators and analysts in locating relevant datasets and telemetry sources.
  • Identify telemetry gaps impacting consumer use cases and provide consumption insights to onboarding and platform teams to support prioritization and remediation decisions.
  • Support security analytics and SIEM use cases without performing operational incident response activities.
  • Audit, Compliance & Assurance Enablement
  • Enable audit, quality, compliance, assurance, and regulatory stakeholders to effectively leverage Cyber Data Lake datasets.
  • Support audit evidence requests, compliance reporting activities, and assurance use cases.
  • Assist stakeholders in identifying telemetry that supports audit and regulatory requirements.
  • Maintain audit and compliance usage guidance and support documentation.
  • Identify telemetry gaps that could affect audit readiness or compliance reporting.
  • Data Quality & Consumer Experience Monitoring
  • Monitor operational health of onboarded datasets from a consumer perspective.
  • Monitor consumer-impacting data quality, availability, latency, and telemetry usability issues and coordinate remediation with platform engineering teams.
  • Coordinate with platform and engineering teams to resolve data quality issues affecting analytics, reporting, detections, investigations, or audits.
  • Publish data quality metrics, scorecards, and consumer-impact assessments.
  • Escalate significant issues that impact platform usability or consumer outcomes.
  • Platform Adoption, Utilization & Value Realization
  • Measure and report on platform adoption, utilization, and business value realization.
  • Track active consumers, dataset utilization, analytics adoption, and reporting usage.
  • Identify underutilized datasets and opportunities to expand consumer adoption.
  • Develop executive reporting and dashboards highlighting platform value and outcomes.
  • Support forecasting, capacity planning, and strategic growth initiatives through consumption and utilization insights.
  • Recommend opportunities to improve platform effectiveness, consumer outcomes, and telemetry coverage.

Key Requirements and Technology Experience: 

  • Key Skills: Cybersecurity, Databricks / Data Lake Engineering, Data Ingestion & Pipeline Management, SIEM / Security Log Ingestion, Data Quality & Data Governance
  • 5+ years of experience in cybersecurity, security analytics, cyber operations, data analytics, SIEM platforms, or cybersecurity data platforms.
  • Experience with modern data lake, lakehouse, or analytics platforms such as Databricks, Client, BigQuery, Azure Data Explorer, Synapse, or similar technologies.
  • Experience with Security Information and Event Management (SIEM) and security analytics platforms such as Client, Microsoft Sentinel, QRadar, Elastic, Chronicle, ArcSight, or equivalent technologies.
  • Experience writing and optimizing SQL queries to support analytics, reporting, dashboarding, and security investigations.
  • Strong understanding of cybersecurity telemetry, logging, monitoring, security analytics, and cyber data consumption use cases.
  • Experience supporting internal customers in a technical enablement, consulting, or customer-success role.
  • Experience with reporting, dashboarding, analytics, and data consumption use cases.
  • Experience with SIEM platforms, security data lakes, or large-scale telemetry environments.
  • Strong communication, stakeholder management, and training skills.
  • Experience operating in regulated and global environments.
  • Bachelor''s degree in Cybersecurity, Computer Science, Information Systems, Engineering, Data Analytics, or equivalent experience
  • Experience developing user training programs, adoption frameworks, technical documentation, or customer-success initiatives.
  • Experience supporting audit, compliance, assurance, or regulatory reporting activities.
  • Experience supporting telemetry from connected products, IoT environments, or medical device ecosystems.
  • Program or project management experience.
  • Relevant certifications such as CISSP, CCSP, Security+, cloud security certifications, or similar credentials.

Our client is a leading Healthcare Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

Pyramid Consulting, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

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