

Swoon
Data Automation Consultant
β - Featured Role | Apply direct with Data Freelance Hub
This role is a fully remote Data Automation Consultant position for a long-term contract, focusing on automation strategy and workflow optimization. Key skills include Python, SQL, and experience with cloud environments. No third-party candidates or sponsorships are accepted.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
440
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ποΈ - Date
May 23, 2026
π - Duration
Unknown
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ποΈ - Location
Remote
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π - Contract
Unknown
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π - Security
Unknown
-
π - Location detailed
United States
-
π§ - Skills detailed
#Data Engineering #Automation #Data Integration #Data Pipeline #"ETL (Extract #Transform #Load)" #BI (Business Intelligence) #Python #Microsoft Power BI #Cloud #Azure #ADF (Azure Data Factory) #Databricks #Data Automation #Synapse #Logic Apps #Strategy #Power Automate #SQL (Structured Query Language) #Azure Logic Apps #Scala #Visualization
Role description
Long-term contract opportunity
Fully remote
Strictly no third parties / C2C
Candidates requiring sponsorship now or in the future cannot be considered
We are seeking a Data Automation & Analytics Specialist to support a large-scale data platform modernization initiative. This is a highly consultative, hands-on role focused on automation strategy, workflow optimization, and scalable data solutions.
This is NOT a reporting-only / dashboard-heavy position. We are looking for someone who can assess current-state processes, identify inefficiencies, recommend improvements, and actively build automation solutions.
Key Responsibilities:
β’ Analyze complex data workflows and identify automation opportunities
β’ Design and build scalable automation solutions for data pipelines and operational processes
β’ Work with multi-source data integrations, APIs, ETL/ELT workflows, and cloud platforms
β’ Partner with Data Engineering and business stakeholders to support modernization efforts
β’ Create repeatable, scalable, and well-documented automation patterns
β’ Support future-state platform enablement initiatives
Required Experience:
β’ Strong experience with workflow automation in enterprise environments
β’ Hands-on experience with Python and/or automation tools such as Power Automate, Azure Logic Apps, etc.
β’ Strong SQL and data integration experience (APIs, ETL/ELT, pipelines)
β’ Experience working with cloud-based data environments
β’ Ability to operate independently and solve ambiguous problems in a consultative capacity
Nice to Have:
β’ Azure ecosystem experience (ADF, Synapse, Databricks)
β’ Power BI / visualization exposure
β’ Platform modernization or transformation initiative experience
Long-term contract opportunity
Fully remote
Strictly no third parties / C2C
Candidates requiring sponsorship now or in the future cannot be considered
We are seeking a Data Automation & Analytics Specialist to support a large-scale data platform modernization initiative. This is a highly consultative, hands-on role focused on automation strategy, workflow optimization, and scalable data solutions.
This is NOT a reporting-only / dashboard-heavy position. We are looking for someone who can assess current-state processes, identify inefficiencies, recommend improvements, and actively build automation solutions.
Key Responsibilities:
β’ Analyze complex data workflows and identify automation opportunities
β’ Design and build scalable automation solutions for data pipelines and operational processes
β’ Work with multi-source data integrations, APIs, ETL/ELT workflows, and cloud platforms
β’ Partner with Data Engineering and business stakeholders to support modernization efforts
β’ Create repeatable, scalable, and well-documented automation patterns
β’ Support future-state platform enablement initiatives
Required Experience:
β’ Strong experience with workflow automation in enterprise environments
β’ Hands-on experience with Python and/or automation tools such as Power Automate, Azure Logic Apps, etc.
β’ Strong SQL and data integration experience (APIs, ETL/ELT, pipelines)
β’ Experience working with cloud-based data environments
β’ Ability to operate independently and solve ambiguous problems in a consultative capacity
Nice to Have:
β’ Azure ecosystem experience (ADF, Synapse, Databricks)
β’ Power BI / visualization exposure
β’ Platform modernization or transformation initiative experience






