Top 6184 Data engineer Jobs

Data Platform Engineer
Grown Rogue Unlimited, LLC —Medford, OR
- $90,000 - $110,000 a year
- Full-time
- Hybrid work
- Mid-level
- Office
- SQL
- Health insurance
- Dental insurance
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1d
Lead Data Engineer
Agility Partners —Dublin, OH
- $145,000 - $150,000 a year
- Full-time
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- Health insurance
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Senior Data Engineer (Hybrid, Houston based)
Rectorseal —Houston, TX
- 5 years
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Data Engineer
Cleveland Steel Container Corporation —Hudson, OH
- Computer science
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Sr Data Engineer
Subway —Shelton, CT
- $102,700 - $128,400 a year
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Data Engineer
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Anteriad —Remote
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Senior Data Engineer [Remote-US]
Quanata —Remote
- $215,000 - $300,000 a year
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Data Engineer
Feasto solutions LLC —Remote
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Data Engineer
Medisolv Inc —Clarksville, TN
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Mimecast —Waltham, MA
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Data Engineer
DCI Solutions —New York, NY
- $175,000 - $260,000 a year
- Full-time
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- Bachelor of Science
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Data Pipeline Reliability Engineer
DCI Solutions —New York, NY
- $160,000 - $200,000 a year
- Full-time
- Azure
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- AWS
- Health savings account
- Relocation assistance
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Manufacturing Data & AI Engineer
Denken Solutions, Inc. —Foster City, MI
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Data Engineer
DCI Solutions —Washington, DC
- $175,000 - $260,000 a year
- Full-time
- Computer Science
- Bachelor of Science
- 3 years
- Health savings account
- Relocation assistance
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Data Pipeline Reliability Engineer
DCI Solutions —Washington, DC
- $160,000 - $200,000 a year
- Full-time
- Azure
- Java
- AWS
- Health savings account
- Relocation assistance
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Full-Stack Azure Data Engineer
Telecommunications Development Corp. —Laurel, MD
- Full-time
- System design
- SQL
- In-person
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Senior Data Engineer
Advantage Technical —Chicago, IL
- $55 - $64 an hour
- Temporary
- 6 years
- Computer Science
- Office
- Health savings account
- AD&D insurance
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Sr. Software Engineer - Big Data, Data Lake
Foureyes —Remote
- $120,000 - $150,000 a year
- Full-time
- Remote
- 7 years
- Bachelor of Science
- System design
- Paid holidays
- Health insurance
Quick Apply
Data Engineer
Proteam Solutions —Dublin, OH
- Remote
- 7 years
- Azure
- SQL
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10d

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Data Platform Engineer

Grown Rogue Unlimited, LLC -
Medford, OR

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Job Details

Full-time
$90,000 - $110,000 a year
1 day ago

Benefits

Health insurance
Dental insurance
401(k)
Paid time off
Parental leave
Vision insurance
Life insurance

Qualifications

Data model design
Azure SQL Database
Cloud identity and access management (IAM)
Commercial use (data warehousing systems)
Microsoft Certified: Azure Fundamentals
Teamwork
Data visualization software proficiency
Data Integration (Data management)
Data lake
Requirements specification
Requirements design
IT user and group management
NIST cybersecurity framework
Azure IaaS
Data modeling projects
System performance optimization
Schema design
Xero
Database security management
Maintaining data pipelines
Stored procedures
SQL
Reducing cloud infrastructure costs
Data Architecture Design (Architecture design skills)
Analysis skills
Business intelligence tools
Bachelor's degree
Cost analysis
Requirements analysis
Virtualization

Full Job Description

Gown Rogueis a craft cannabis company that has and continues to grow rapidly since 2016. We are a publicly traded, multi-state operator that files in accordance with U.S. GAAP financial statements with the SEC as a domestic filer (Forms 10-K and 10-Q), while maintaining our reporting obligations in Canada. Our consolidated group spans the states where we operate – Oregon, New Jersey, and Michigan, with Minnesota and Illinois launching in 2026 – several with active cannabis operations and some carrying minority interests.

Grown Rogue is seeking a highly motivated and versatile individual to join our team as a Data Platform Engineer This hybrid role combines responsibilities in IT support, financial analysis, light accounting work, and data engineering. The ideal candidate will have a strong technical background, excellent analytical skills, and a keen eye for detail. They will be responsible for ensuring smooth IT operations, managing and analyzing data, and supporting the finance department with basic accounting tasks.

Location:

Open to candidates located in any state where Grown Rogue operates (OR, NJ, MI, MN, and IL); Oregon preferred.

Responsibilities

Data Platform Engineering

Design and build data pipelines using Microsoft Fabric and Azure Data Factory, connecting source systems to our cloud data warehouse
Own the data warehouse layer: design tables, views, and semantic models optimized for Power BI consumption and built for growth
Build and maintain integrations with source systems: Xero, METRC, and SharePoint
Connect to and query Snowflake-hosted source data, integrating it into Fabric pipelines as access becomes available
Implement Direct Lake connectivity where applicable to reduce import refresh dependencies in Power BI
Monitor pipeline health and data freshness; diagnose and resolve failures promptly
Document data models, pipeline architecture, and transformation logic

Azure Infrastructure & Cost Management

Manage and right-size Azure resources: virtual machines, managed database services, App Registrations, storage accounts, and Fabric capacity
Monitor monthly Azure and Fabric spending; implement cost controls including reserved capacity, auto-shutdown, and resource tagging
Maintain Azure App Registrations and service principals used by integration workflows
Maintain data backup and recovery procedures for cloud databases and storage
Plan and execute infrastructure changes in coordination with business needs and budget targets
Maintain Azure tenant hygiene: naming conventions, access reviews, and subscription governance

Cybersecurity

Secure the Azure environment through identity and access controls: MFA, conditional access, and privileged identity management across Azure and EntraID
Conduct periodic access reviews for Azure resources, database users, and service principals
Manage secrets rotation for service accounts and automated integration credentials, using Azure Key Vault
Monitor Azure security alerts and remediate misconfigurations; the MSP owns email and endpoint and software security

Qualifications

Required

3+ years in a data engineering or data platform role
Hands-on experience with Microsoft Fabric: Lakehouses, Data Pipelines, Dataflows Gen2, and/or Direct Lake semantic models
Strong SQL skills: data modeling, views, stored procedures, multi-table joins, and performance tuning
Experience designing data warehouse layers for Power BI consumption
Working knowledge of Microsoft Azure: resource management, cost monitoring, and identity and access security
Ability to gather requirements from non-technical stakeholders and translate them into data and infrastructure designs
Comfort with high ownership in a lean, fast-moving environment

Preferred

Experience connecting Fabric or ADF pipelines to cloud-hosted data sources such as Snowflake
Familiarity with Power BI semantic model development (DAX, relationships, calculation groups)
Python scripting for API integration and data processing
Familiarity with cannabis compliance systems (METRC or BioTrack)
Experience with Azure cost management and capacity planning: reserved capacity, Fabric capacity sizing, and resource tagging
·Experience securing Azure environments: conditional access, privileged identity management, and Key Vault
Exposure to cybersecurity frameworks such as NIST CSF or CIS Controls

Physical demand and work environment

This job is conducted in an office work environment, sitting most of the time.
Approximately 90% of this position’s duties require use of a computer.
Must be able to exert up to 20 lbs. of force occasionally.

We are an Equal Opportunity Employer. Grown Rogue values diversity and inclusivity, welcoming applicants of all backgrounds. We're proud to be an equal opportunity employer where every voice counts, and together, we shape a future where every connection

Job Type: Full-time

Pay: $90,000.00 - $110,000.00 per year

Benefits:

401(k)
Dental insurance
Health insurance
Life insurance
Paid time off
Parental leave
Vision insurance

Physical Setting:

Office

People with a criminal record are encouraged to apply

Education:

Bachelor's (Preferred)

Experience:

Data Engineering : 3 years (Required)

Work Location: In person

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