

Sr. Data Engineer
β - Featured Role | Apply direct with Data Freelance Hub
This role is a Sr. Data Engineer for a 6-month contract-to-hire in Excelsior, MN (Hybrid). Pay rate is $45-70/hr. Requires 7+ years in data engineering, proficiency in DBT, Airflow, Postgres, and Azure, plus strong Python skills.
π - Country
United States
π± - Currency
$ USD
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π° - Day rate
560
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ποΈ - Date discovered
July 3, 2025
π - Project duration
Unknown
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ποΈ - Location type
Hybrid
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π - Contract type
W2 Contractor
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π - Security clearance
Unknown
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π - Location detailed
Excelsior, MN
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π§ - Skills detailed
#Data Architecture #Security #Cloud #GDPR (General Data Protection Regulation) #Migration #Normalization #Databricks #Python #Data Engineering #Data Modeling #Azure #ADF (Azure Data Factory) #"ETL (Extract #Transform #Load)" #dbt (data build tool) #Data Quality #Data Governance #Leadership #Airflow #Business Analysis #Scala #Compliance #ML (Machine Learning)
Role description
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β’ At this time, we are unable to consider candidates requiring visa sponsorship or third-party recruitment agencies for this role. We thank you for your understanding.
β’
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β’ Logistics:
β’ Type: 6-month contract-to-hire
β’ Location: Excelsior, MN (Hybrid β 2β3 days onsite)
β’ Pay Rate: $45-70/hr W2
Weβre hiring a Data Engineer to help lead the buildout of modern data architecture, modeling, and governance for a rapidly growing team focused on sustainability and resource efficiency. This role is ideal for someone whoβs both strategic and hands-onβcomfortable working across cloud infrastructure, pipelines, and analytics tools, while setting data standards that support new product innovation.
Youβll work with technologies like DBT, Airflow, Postgres, Azure, and Python to build scalable, secure systems. This person will play a key role in shaping how the organization structures and leverages its data to drive long-term growth and product development.
Key Responsibilities:
β’ Design and manage data infrastructure, modeling, integration, transformation, and governance
β’ Collaborate with product teams to align data architecture with strategic goals
β’ Support data quality, security, and compliance (HIPAA, GDPR, etc.)
β’ Guide migration of legacy systems to modern, scalable platforms
β’ Partner with technical teams to evaluate new tools and implement best practices
β’ Mentor other engineers and contribute to team development
What Youβll Need to Have:
β’ 7+ years of experience in data engineering, software development, or technical business analysis
β’ Proficiency in DBT, Airflow, and Postgres (or equivalent tools)
β’ Experience with data modeling, normalization, and transformation of complex schemas
β’ Working knowledge of Azure data ecosystems, ADF, Databricks, and cloud infrastructure
β’ Strong Python skills and experience working with APIs
β’ Familiarity with implementing ML pipelines, especially data tagging and labeling
β’ Solid understanding of data governance, security best practices, and compliance
β’ Excellent problem-solving, communication, and cross-functional collaboration skills
β’ Leadership or mentoring experience a plus