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Senior Data Engineer

LinkedIn Mariner Overland Park, KS
Not Applicable Posted March 13, 2026 Job link
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Requirements
  • Eight years professional experience in software or data-engineering
  • Five years experience in Python development
  • Five years experience in SQL development
  • Prior experience with Snowflake
  • Excellent verbal and written communication skills
  • Experience building and deploying back-end services and APIs
  • Developing and using cloud database platforms (Snowflake, Databricks, Redshift, RDS)
  • Data analysis & pipelining tools (DBT, SQL, Python/Pandas, Snowpark)
  • Managing automation\orchestration platforms (Windmill, Airflow, Dagster, ActiveBatch)
  • Deploying AWS technologies S3\ECS\Lambda, Terraform and IaC deployment tools
  • RESTful\GraphQL\MCP API development, integrations, and tooling (Strawberry, FastAPI, Postman)
  • Deploying devops and CI/CD processes using GitHub
  • Using common data formats and data exchanges (JSON, CSV, ODBC, FTP, S3, Parquet)
  • Enterprise systems such as Salesforce, Oracle Fusion, portfolio management platforms, order-management systems, and reporting tools (Tableau/Streamlit)
  • Experience with scripting languages (PowerShell, Bash/Sh, etc)
  • GenAI\LLM tooling and agent development (Snowflake Cortex)
  • Leveraging AI enabled code development and agentic workflows (Codex, Claude)
Preferred Skills
  • Experience building and deploying back-end services and APIs
  • Experience building and operating enterprise data pipelines
  • Experience in the wealth management or financial services technology and platforms
  • Experience managing tactical implementation projects, requirements refinement, and task tracking
  • Experience working with stakeholders and subject matter experts on complex development projects
  • Managing automation\orchestration platforms (Windmill, Airflow, Dagster, ActiveBatch)
  • Deploying AWS technologies S3\ECS\Lambda, Terraform and IaC deployment tools
  • RESTful\GraphQL\MCP API development, integrations, and tooling (Strawberry, FastAPI, Postman)
  • Deploying devops and CI/CD processes using GitHub
  • Using common data formats and data exchanges (JSON, CSV, ODBC, FTP, S3, Parquet)
  • Enterprise systems such as Salesforce, Oracle Fusion, portfolio management platforms, order-management systems, and reporting tools (Tableau/Streamlit)
  • Experience with scripting languages (PowerShell, Bash/Sh, etc)
  • GenAI\LLM tooling and agent development (Snowflake Cortex)
  • Leveraging AI enabled code development and agentic workflows (Codex, Claude)
Education
  • (Not required) – A bachelors degree in Computer Science, Engineering, or related discipline
  • (Not required) – Eight years professional experience in software or data-engineering