Senior Data Engineer

The candidate will join a team developing data-pipelines, building enterprise data products and AI tools, deploying API and integration platforms, and constructing system integrations for Mariner’s ecosystem of enterprise platforms. This position will require developers to weave together ETL/ELT tools and practices, cloud and legacy databases, APIs and enterprise platforms, and automation systems to build scalable business tools, workflows, and products enabling Mariner’s front and back-office. You will drive our CI/CD and IaC strategy, coach junior engineers and participate in code reviews, manage development projects, and enforce software lifecycle practices for the team. As a Sr. Data Engineer, you will be working in conjunction with like-minded departments such as Data Management, Business Intelligence, Operations, Trading, Compliance, and IT. We are searching for positive, experienced, data obsessed engineer with a passion for the industry and a capacity to leverage a variety of technical disciplines to support Mariner’s growing portfolio of businesses., * Developing enterprise data platforms, data extraction, and mastering pipelines

• Systems integrations using python, API development, cloud platforms, and scripting languages
• Developing REST, GraphQL, and MCP APIs in AWS using Python.
• Cloud architecture and deployments using IaC tools
• CI/CD pipelines and deployment automation
• Developing and maintaining orchestration configurations and scheduling
• Building tools and processes for data validation, testing, alerting, and monitoring
• Developer coaching, guiding PR reviews, and code quality enforcement
• Supporting data-operations and critical run-the-business automations (rotation-based)

• A bachelors degree in Computer Science, Engineering, or related discipline
• 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

Preferred Education and Experience:

• 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

Skills:

• 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)