Description
Job Summary:
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 Marinerās 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 Marinerās 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 Marinerās growing portfolio of businesses.
Essential Duties and Responsibilities:
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)
Required Education and Experience:
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)
Supervisory Responsibilities:
Coaching, PR Reviews, Project Management and Coordination
#LI-JS1
#LI-Remote
We welcome your interest in being a part of our firm. We believe in giving associates progressive opportunities, actively nurturing professional growth and giving back to the community. We are dedicated to building a diverse culture where everyone has the support they need to achieve their career goals. We offer an innovative workplace and a culture that fosters camaraderie, teamwork and work-life balance.
EOE M/F/D/V
mariner-careers