SRM Digital LLC
Data / DataOps Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Remote Data / DataOps Engineer contract position for 7+ years of experience. Key skills include Python, SQL, AWS, ETL/ELT pipelines, data governance, and CI/CD. Experience with dbt, Airflow, Snowflake, and data quality management is required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
June 18, 2026
🕒 - Duration
Unknown
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🏝️ - Location
Remote
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
United States
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🧠 - Skills detailed
#Python #Automation #Snowflake #DataOps #Monitoring #AWS (Amazon Web Services) #dbt (data build tool) #SQL (Structured Query Language) #Spark (Apache Spark) #Databricks #Redshift #Data Governance #Datasets #RDS (Amazon Relational Database Service) #S3 (Amazon Simple Storage Service) #Data Warehouse #"ETL (Extract #Transform #Load)" #Observability #Airflow #Data Modeling #Deployment #Data Quality #Lambda (AWS Lambda)
Role description
Role: Data / DataOps Engineer
Location: Remote
Type: Contract
Experience level: 7+ Years
Role summary
Build and operate the data infrastructure, pipelines and tooling that keep client's analytics, actuarial and reporting platforms reliable, governed and performant.
Key responsibilities
• Design, build and maintain ELT/ETL pipelines and orchestration for analytics and actuarial workloads.
• Manage data warehouse/lake models, data quality, lineage and observability.
• Automate deployment, monitoring and incident response for data platforms (DataOps).
• Support analysts and actuaries with reliable, well-documented datasets.
Skills
• Python
• SQL
• AWS
• Advanced SQL and data modeling; Python for pipeline and automation work; AWS data stack (S3, Glue, Redshift/RDS, Lambda, Step Functions).
• dbt, Airflow, Snowflake/Databricks, Spark.
• CI/CD for data and infrastructure-as-code.
• Data governance / HIPAA-aligned handling of PHI.
Role: Data / DataOps Engineer
Location: Remote
Type: Contract
Experience level: 7+ Years
Role summary
Build and operate the data infrastructure, pipelines and tooling that keep client's analytics, actuarial and reporting platforms reliable, governed and performant.
Key responsibilities
• Design, build and maintain ELT/ETL pipelines and orchestration for analytics and actuarial workloads.
• Manage data warehouse/lake models, data quality, lineage and observability.
• Automate deployment, monitoring and incident response for data platforms (DataOps).
• Support analysts and actuaries with reliable, well-documented datasets.
Skills
• Python
• SQL
• AWS
• Advanced SQL and data modeling; Python for pipeline and automation work; AWS data stack (S3, Glue, Redshift/RDS, Lambda, Step Functions).
• dbt, Airflow, Snowflake/Databricks, Spark.
• CI/CD for data and infrastructure-as-code.
• Data governance / HIPAA-aligned handling of PHI.
